diff --git a/answer_config.json b/answer_config.json
new file mode 100644
index 0000000..cf4f7f4
--- /dev/null
+++ b/answer_config.json
@@ -0,0 +1,24 @@
+[
+  {
+    "type": "Text",
+    "title": "What is your diagnosis based on the information you currently have?",
+    "required": true
+  },
+  {
+    "type": "Paragraph",
+    "title": "What additional information do you require to make a final diagnosis?",
+    "required": true
+  },
+  {
+    "type": "SingleChoice",
+    "title": "What is your confidence?",
+    "options": ["High Confidence", "Medium Confidence", "Low Confidence"],
+    "required": false
+  },
+  {
+    "type": "MultipleChoice",
+    "title": "What medical field are you interested in?",
+    "options": ["Cardiology", "Neurology", "Orthopedics", "Radiology"],
+    "required": true
+  }
+]
diff --git a/page_config.json b/page_config.json
new file mode 100644
index 0000000..6217302
--- /dev/null
+++ b/page_config.json
@@ -0,0 +1,7 @@
+{
+  "Background":           { "concept_ids": [] },
+  "Chief Complaint":      { "concept_ids": [] },
+  "Physical Examination": { "concept_ids": [] },
+  "Vitals":               { "concept_ids": [] },
+  "Labs":                 { "concept_ids": [] }
+}
diff --git a/script/assign_cases/config.csv b/script/assign_cases/config.csv
new file mode 100644
index 0000000..d69311e
--- /dev/null
+++ b/script/assign_cases/config.csv
@@ -0,0 +1,2042 @@
+User,Case No.,Path,Collapse,Highlight,Top
+test@unc.edu,1,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+srfort@live.unc.edu,1,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+lirjiao@unc.edu,1,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+joliva@cs.unc.edu,1,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+snghoang@unc.edu,1,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+sean.sylvia@unc.edu,1,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+lirjiao@unc.edu,1,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+test@unc.edu,1,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+srfort@live.unc.edu,1,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+snghoang@unc.edu,1,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+lirjiao@unc.edu,1,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+joliva@cs.unc.edu,1,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+hungtien@unc.edu,1,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+xdantong12@gmail.com,1,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+test@unc.edu,1,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+srfort@live.unc.edu,1,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+snghoang@unc.edu,1,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+lirjiao@unc.edu,1,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,1,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+xdantong12@gmail.com,2,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+ttemplin@unc.edu,2,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+test@unc.edu,2,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+srfort@live.unc.edu,2,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+snghoang@unc.edu,2,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+lirjiao@unc.edu,2,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+joliva@cs.unc.edu,2,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+ttemplin@unc.edu,2,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+sean.sylvia@unc.edu,2,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,2,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+xdantong12@gmail.com,2,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+lirjiao@unc.edu,2,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+joliva@cs.unc.edu,2,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+hungtien@unc.edu,2,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+xdantong12@gmail.com,2,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+test@unc.edu,2,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+srfort@live.unc.edu,2,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+snghoang@unc.edu,3,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+sean.sylvia@unc.edu,3,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+lirjiao@unc.edu,3,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+hungtien@unc.edu,3,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+srfort@live.unc.edu,3,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,3,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+xdantong12@gmail.com,3,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+ttemplin@unc.edu,3,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+test@unc.edu,3,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+sean.sylvia@unc.edu,3,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+test@unc.edu,3,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+srfort@live.unc.edu,3,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+snghoang@unc.edu,3,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+lirjiao@unc.edu,3,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+hungtien@unc.edu,3,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+snghoang@unc.edu,4,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+xdantong12@gmail.com,4,BACKGROUND.Family History.Cancer: Yes,FALSE,TRUE,
+srfort@live.unc.edu,4,BACKGROUND.Family History.Cancer: Yes,FALSE,TRUE,
+snghoang@unc.edu,4,BACKGROUND.Family History.Cancer: Yes,FALSE,TRUE,
+lirjiao@unc.edu,4,BACKGROUND.Family History.Cancer: Yes,FALSE,TRUE,
+joliva@cs.unc.edu,4,BACKGROUND.Family History.Cancer: Yes,FALSE,TRUE,
+xdantong12@gmail.com,4,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+test@unc.edu,4,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+xdantong12@gmail.com,4,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+snghoang@unc.edu,4,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+sean.sylvia@unc.edu,4,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+lirjiao@unc.edu,4,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,4,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+ttemplin@unc.edu,5,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+test@unc.edu,5,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+snghoang@unc.edu,5,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+xdantong12@gmail.com,5,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+test@unc.edu,5,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+lirjiao@unc.edu,5,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+xdantong12@gmail.com,5,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+snghoang@unc.edu,5,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+hungtien@unc.edu,5,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+test@unc.edu,5,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+srfort@live.unc.edu,5,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+snghoang@unc.edu,5,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+lirjiao@unc.edu,5,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,5,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+hungtien@unc.edu,5,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+ttemplin@unc.edu,6,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+test@unc.edu,6,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+snghoang@unc.edu,6,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+sean.sylvia@unc.edu,6,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+joliva@cs.unc.edu,6,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+test@unc.edu,6,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+srfort@live.unc.edu,6,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+sean.sylvia@unc.edu,6,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+lirjiao@unc.edu,6,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,6,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+hungtien@unc.edu,6,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+test@unc.edu,6,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+srfort@live.unc.edu,6,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+hungtien@unc.edu,6,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+xdantong12@gmail.com,6,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+ttemplin@unc.edu,6,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+test@unc.edu,6,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+srfort@live.unc.edu,6,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+sean.sylvia@unc.edu,6,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+ttemplin@unc.edu,7,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+test@unc.edu,7,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+snghoang@unc.edu,7,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+sean.sylvia@unc.edu,7,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+lirjiao@unc.edu,7,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+joliva@cs.unc.edu,7,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+test@unc.edu,7,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+srfort@live.unc.edu,7,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+sean.sylvia@unc.edu,7,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,7,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+xdantong12@gmail.com,7,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+ttemplin@unc.edu,7,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+srfort@live.unc.edu,7,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+snghoang@unc.edu,7,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+sean.sylvia@unc.edu,7,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+lirjiao@unc.edu,7,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+ttemplin@unc.edu,7,BACKGROUND.Family History.Colorectal Cancer: Yes,FALSE,TRUE,
+test@unc.edu,7,BACKGROUND.Family History.Colorectal Cancer: Yes,FALSE,TRUE,
+srfort@live.unc.edu,7,BACKGROUND.Family History.Colorectal Cancer: Yes,FALSE,TRUE,
+snghoang@unc.edu,7,BACKGROUND.Family History.Colorectal Cancer: Yes,FALSE,TRUE,
+sean.sylvia@unc.edu,7,BACKGROUND.Family History.Colorectal Cancer: Yes,FALSE,TRUE,
+xdantong12@gmail.com,8,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+ttemplin@unc.edu,8,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+srfort@live.unc.edu,8,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+sean.sylvia@unc.edu,8,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+lirjiao@unc.edu,8,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+srfort@live.unc.edu,8,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,8,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+ttemplin@unc.edu,8,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+sean.sylvia@unc.edu,8,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+lirjiao@unc.edu,8,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+xdantong12@gmail.com,8,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+srfort@live.unc.edu,8,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,8,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+snghoang@unc.edu,9,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+hungtien@unc.edu,9,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+xdantong12@gmail.com,9,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+ttemplin@unc.edu,9,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+test@unc.edu,9,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+snghoang@unc.edu,9,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+sean.sylvia@unc.edu,9,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+lirjiao@unc.edu,9,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,9,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+xdantong12@gmail.com,9,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+test@unc.edu,9,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+srfort@live.unc.edu,9,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+sean.sylvia@unc.edu,9,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+hungtien@unc.edu,9,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+xdantong12@gmail.com,9,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+ttemplin@unc.edu,9,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+test@unc.edu,9,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+snghoang@unc.edu,9,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+lirjiao@unc.edu,9,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,9,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+hungtien@unc.edu,9,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+xdantong12@gmail.com,10,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+test@unc.edu,10,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+lirjiao@unc.edu,10,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+hungtien@unc.edu,10,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+xdantong12@gmail.com,10,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+ttemplin@unc.edu,10,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+test@unc.edu,10,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+snghoang@unc.edu,10,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+sean.sylvia@unc.edu,10,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+lirjiao@unc.edu,10,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,10,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+hungtien@unc.edu,10,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+xdantong12@gmail.com,10,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+srfort@live.unc.edu,10,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+snghoang@unc.edu,10,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+sean.sylvia@unc.edu,10,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+hungtien@unc.edu,10,BACKGROUND.Family History.Hypertension: Yes,FALSE,TRUE,
+test@unc.edu,10,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+ttemplin@unc.edu,11,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+test@unc.edu,11,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+srfort@live.unc.edu,11,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+sean.sylvia@unc.edu,11,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+lirjiao@unc.edu,11,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+joliva@cs.unc.edu,11,BACKGROUND.Family History.Diabetes: Yes,FALSE,TRUE,
+test@unc.edu,11,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+srfort@live.unc.edu,11,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+sean.sylvia@unc.edu,11,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+lirjiao@unc.edu,11,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+joliva@cs.unc.edu,11,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+hungtien@unc.edu,11,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+xdantong12@gmail.com,11,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+ttemplin@unc.edu,11,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+test@unc.edu,11,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+sean.sylvia@unc.edu,11,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+lirjiao@unc.edu,11,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+joliva@cs.unc.edu,11,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+ttemplin@unc.edu,11,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+srfort@live.unc.edu,11,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+sean.sylvia@unc.edu,11,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+xdantong12@gmail.com,12,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+srfort@live.unc.edu,12,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+snghoang@unc.edu,12,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
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+lirjiao@unc.edu,12,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+joliva@cs.unc.edu,12,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
+xdantong12@gmail.com,12,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+srfort@live.unc.edu,12,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+snghoang@unc.edu,12,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+hungtien@unc.edu,12,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
+ttemplin@unc.edu,12,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+test@unc.edu,12,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+srfort@live.unc.edu,12,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
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+hungtien@unc.edu,12,BACKGROUND.Family History.Hypertension: No,FALSE,TRUE,
+ttemplin@unc.edu,12,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
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+lirjiao@unc.edu,12,BACKGROUND.Family History.Colorectal Cancer: No,FALSE,TRUE,
+xdantong12@gmail.com,13,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
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+joliva@cs.unc.edu,13,BACKGROUND.Family History.Diabetes: No,FALSE,TRUE,
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+joliva@cs.unc.edu,13,BACKGROUND.Family History.Cancer: No,FALSE,TRUE,
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+ttemplin@unc.edu,13,BACKGROUND.Family History.Colorectal Cancer: Yes,FALSE,TRUE,
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+test@unc.edu,19,BACKGROUND.Medical History.Shortness of Breath: No,FALSE,TRUE,
+srfort@live.unc.edu,19,BACKGROUND.Medical History.Shortness of Breath: No,FALSE,TRUE,
+snghoang@unc.edu,19,BACKGROUND.Medical History.Shortness of Breath: No,FALSE,TRUE,
+srfort@live.unc.edu,19,BACKGROUND.Medical History.Blood Stained Stool: Yes,FALSE,TRUE,
+snghoang@unc.edu,19,BACKGROUND.Medical History.Blood Stained Stool: Yes,FALSE,TRUE,
+ttemplin@unc.edu,19,BACKGROUND.Medical History.Headache: No,FALSE,TRUE,
+srfort@live.unc.edu,19,BACKGROUND.Medical History.Headache: No,FALSE,TRUE,
+snghoang@unc.edu,19,BACKGROUND.Medical History.Headache: No,FALSE,TRUE,
+sean.sylvia@unc.edu,19,BACKGROUND.Medical History.Headache: No,FALSE,TRUE,
+lirjiao@unc.edu,19,BACKGROUND.Medical History.Headache: No,FALSE,TRUE,
+joliva@cs.unc.edu,19,BACKGROUND.Medical History.Headache: No,FALSE,TRUE,
+hungtien@unc.edu,19,BACKGROUND.Medical History.Headache: No,FALSE,TRUE,
+xdantong12@gmail.com,20,BACKGROUND.Medical History.Tenderness Abdomen: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Tenderness Abdomen: No,FALSE,TRUE,
+snghoang@unc.edu,20,BACKGROUND.Medical History.Tenderness Abdomen: No,FALSE,TRUE,
+lirjiao@unc.edu,20,BACKGROUND.Medical History.Tenderness Abdomen: No,FALSE,TRUE,
+joliva@cs.unc.edu,20,BACKGROUND.Medical History.Tenderness Abdomen: No,FALSE,TRUE,
+hungtien@unc.edu,20,BACKGROUND.Medical History.Tenderness Abdomen: No,FALSE,TRUE,
+ttemplin@unc.edu,20,BACKGROUND.Medical History.Irritable Bowel Syndrome: No,FALSE,TRUE,
+test@unc.edu,20,BACKGROUND.Medical History.Irritable Bowel Syndrome: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Irritable Bowel Syndrome: No,FALSE,TRUE,
+snghoang@unc.edu,20,BACKGROUND.Medical History.Irritable Bowel Syndrome: No,FALSE,TRUE,
+joliva@cs.unc.edu,20,BACKGROUND.Medical History.Irritable Bowel Syndrome: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Asthma: No,FALSE,TRUE,
+snghoang@unc.edu,20,BACKGROUND.Medical History.Asthma: No,FALSE,TRUE,
+joliva@cs.unc.edu,20,BACKGROUND.Medical History.Asthma: No,FALSE,TRUE,
+hungtien@unc.edu,20,BACKGROUND.Medical History.Asthma: No,FALSE,TRUE,
+test@unc.edu,20,BACKGROUND.Medical History.Anxiety and/or Depression: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Anxiety and/or Depression: No,FALSE,TRUE,
+snghoang@unc.edu,20,BACKGROUND.Medical History.Anxiety and/or Depression: No,FALSE,TRUE,
+lirjiao@unc.edu,20,BACKGROUND.Medical History.Anxiety and/or Depression: No,FALSE,TRUE,
+hungtien@unc.edu,20,BACKGROUND.Medical History.Anxiety and/or Depression: No,FALSE,TRUE,
+xdantong12@gmail.com,20,BACKGROUND.Medical History.Migraines: No,FALSE,TRUE,
+snghoang@unc.edu,20,BACKGROUND.Medical History.Migraines: No,FALSE,TRUE,
+sean.sylvia@unc.edu,20,BACKGROUND.Medical History.Migraines: No,FALSE,TRUE,
+lirjiao@unc.edu,20,BACKGROUND.Medical History.Migraines: No,FALSE,TRUE,
+hungtien@unc.edu,20,BACKGROUND.Medical History.Migraines: No,FALSE,TRUE,
+test@unc.edu,20,BACKGROUND.Medical History.Osteoarthritis: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Osteoarthritis: No,FALSE,TRUE,
+snghoang@unc.edu,20,BACKGROUND.Medical History.Osteoarthritis: No,FALSE,TRUE,
+ttemplin@unc.edu,20,BACKGROUND.Medical History.Hypothyroidism: No,FALSE,TRUE,
+joliva@cs.unc.edu,20,BACKGROUND.Medical History.Hypothyroidism: No,FALSE,TRUE,
+hungtien@unc.edu,20,BACKGROUND.Medical History.Hypothyroidism: No,FALSE,TRUE,
+ttemplin@unc.edu,20,BACKGROUND.Medical History.Abdominal Pain/Distension: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Abdominal Pain/Distension: No,FALSE,TRUE,
+snghoang@unc.edu,20,BACKGROUND.Medical History.Abdominal Pain/Distension: No,FALSE,TRUE,
+sean.sylvia@unc.edu,20,BACKGROUND.Medical History.Abdominal Pain/Distension: No,FALSE,TRUE,
+joliva@cs.unc.edu,20,BACKGROUND.Medical History.Abdominal Pain/Distension: No,FALSE,TRUE,
+xdantong12@gmail.com,20,BACKGROUND.Medical History.Constipation: No,FALSE,TRUE,
+ttemplin@unc.edu,20,BACKGROUND.Medical History.Constipation: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Constipation: No,FALSE,TRUE,
+sean.sylvia@unc.edu,20,BACKGROUND.Medical History.Constipation: No,FALSE,TRUE,
+lirjiao@unc.edu,20,BACKGROUND.Medical History.Constipation: No,FALSE,TRUE,
+joliva@cs.unc.edu,20,BACKGROUND.Medical History.Constipation: No,FALSE,TRUE,
+xdantong12@gmail.com,20,BACKGROUND.Medical History.Chronic Diarrhea: No,FALSE,TRUE,
+ttemplin@unc.edu,20,BACKGROUND.Medical History.Chronic Diarrhea: No,FALSE,TRUE,
+test@unc.edu,20,BACKGROUND.Medical History.Chronic Diarrhea: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Chronic Diarrhea: No,FALSE,TRUE,
+joliva@cs.unc.edu,20,BACKGROUND.Medical History.Chronic Diarrhea: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Rectal Bleeding: No,FALSE,TRUE,
+snghoang@unc.edu,20,BACKGROUND.Medical History.Rectal Bleeding: No,FALSE,TRUE,
+hungtien@unc.edu,20,BACKGROUND.Medical History.Rectal Bleeding: No,FALSE,TRUE,
+test@unc.edu,20,BACKGROUND.Medical History.Hypertension: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Hypertension: No,FALSE,TRUE,
+sean.sylvia@unc.edu,20,BACKGROUND.Medical History.Hypertension: No,FALSE,TRUE,
+lirjiao@unc.edu,20,BACKGROUND.Medical History.Hypertension: No,FALSE,TRUE,
+joliva@cs.unc.edu,20,BACKGROUND.Medical History.Hypertension: No,FALSE,TRUE,
+hungtien@unc.edu,20,BACKGROUND.Medical History.Hypertension: No,FALSE,TRUE,
+xdantong12@gmail.com,20,BACKGROUND.Medical History.Hyperlipidemia: No,FALSE,TRUE,
+test@unc.edu,20,BACKGROUND.Medical History.Hyperlipidemia: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Hyperlipidemia: No,FALSE,TRUE,
+snghoang@unc.edu,20,BACKGROUND.Medical History.Hyperlipidemia: No,FALSE,TRUE,
+lirjiao@unc.edu,20,BACKGROUND.Medical History.Hyperlipidemia: No,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Diabetes: No,FALSE,TRUE,
+sean.sylvia@unc.edu,20,BACKGROUND.Medical History.Diabetes: No,FALSE,TRUE,
+joliva@cs.unc.edu,20,BACKGROUND.Medical History.Diabetes: No,FALSE,TRUE,
+hungtien@unc.edu,20,BACKGROUND.Medical History.Diabetes: No,FALSE,TRUE,
+ttemplin@unc.edu,20,BACKGROUND.Medical History.Fatigue: Yes,FALSE,TRUE,
+test@unc.edu,20,BACKGROUND.Medical History.Fatigue: Yes,FALSE,TRUE,
+srfort@live.unc.edu,20,BACKGROUND.Medical History.Fatigue: Yes,FALSE,TRUE,
+sean.sylvia@unc.edu,20,BACKGROUND.Medical History.Fatigue: Yes,FALSE,TRUE,
+lirjiao@unc.edu,20,BACKGROUND.Medical History.Fatigue: Yes,FALSE,TRUE,
+joliva@cs.unc.edu,20,BACKGROUND.Medical History.Fatigue: Yes,FALSE,TRUE,
+hungtien@unc.edu,20,BACKGROUND.Medical History.Fatigue: Yes,FALSE,TRUE,
+test@unc.edu,20,BACKGROUND.Medical History.Shortness of Breath: No,FALSE,TRUE,
+snghoang@unc.edu,20,BACKGROUND.Medical History.Shortness of Breath: No,FALSE,TRUE,
+sean.sylvia@unc.edu,20,BACKGROUND.Medical History.Shortness of Breath: No,FALSE,TRUE,
+lirjiao@unc.edu,20,BACKGROUND.Medical History.Shortness of Breath: No,FALSE,TRUE,
+hungtien@unc.edu,20,BACKGROUND.Medical History.Shortness of Breath: No,FALSE,TRUE,
+xdantong12@gmail.com,20,BACKGROUND.Medical History.Blood Stained Stool: No,FALSE,TRUE,
+ttemplin@unc.edu,20,BACKGROUND.Medical History.Blood Stained Stool: No,FALSE,TRUE,
+test@unc.edu,20,BACKGROUND.Medical History.Blood Stained Stool: No,FALSE,TRUE,
+hungtien@unc.edu,20,BACKGROUND.Medical History.Blood Stained Stool: No,FALSE,TRUE,
+lirjiao@unc.edu,20,BACKGROUND.Medical History.Headache: No,FALSE,TRUE,
+hungtien@unc.edu,9,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+hungtien@unc.edu,20,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+hungtien@unc.edu,2,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+hungtien@unc.edu,18,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+hungtien@unc.edu,8,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+hungtien@unc.edu,5,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+hungtien@unc.edu,1,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+hungtien@unc.edu,14,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+hungtien@unc.edu,12,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+hungtien@unc.edu,19,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+joliva@cs.unc.edu,4,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+joliva@cs.unc.edu,10,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+joliva@cs.unc.edu,16,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+joliva@cs.unc.edu,17,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+joliva@cs.unc.edu,13,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+joliva@cs.unc.edu,15,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+joliva@cs.unc.edu,11,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+joliva@cs.unc.edu,6,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+joliva@cs.unc.edu,8,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+joliva@cs.unc.edu,1,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+lirjiao@unc.edu,2,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+lirjiao@unc.edu,17,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+lirjiao@unc.edu,14,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+lirjiao@unc.edu,16,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+lirjiao@unc.edu,15,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+lirjiao@unc.edu,7,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+lirjiao@unc.edu,13,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+lirjiao@unc.edu,3,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+lirjiao@unc.edu,8,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+lirjiao@unc.edu,4,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+sean.sylvia@unc.edu,8,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+sean.sylvia@unc.edu,7,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+sean.sylvia@unc.edu,15,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+sean.sylvia@unc.edu,18,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+sean.sylvia@unc.edu,2,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+sean.sylvia@unc.edu,20,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+sean.sylvia@unc.edu,19,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+sean.sylvia@unc.edu,3,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+sean.sylvia@unc.edu,17,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+sean.sylvia@unc.edu,10,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+snghoang@unc.edu,4,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+snghoang@unc.edu,10,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+snghoang@unc.edu,8,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+snghoang@unc.edu,5,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+snghoang@unc.edu,17,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+snghoang@unc.edu,13,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+snghoang@unc.edu,7,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+snghoang@unc.edu,6,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+snghoang@unc.edu,3,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+snghoang@unc.edu,1,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+srfort@live.unc.edu,6,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+srfort@live.unc.edu,1,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+srfort@live.unc.edu,12,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+srfort@live.unc.edu,15,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+srfort@live.unc.edu,10,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+srfort@live.unc.edu,5,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+srfort@live.unc.edu,8,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+srfort@live.unc.edu,9,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+srfort@live.unc.edu,2,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+srfort@live.unc.edu,14,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+test@unc.edu,12,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+test@unc.edu,15,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+test@unc.edu,2,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+test@unc.edu,7,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+test@unc.edu,13,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+test@unc.edu,8,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+test@unc.edu,10,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+test@unc.edu,17,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+test@unc.edu,9,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+test@unc.edu,6,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+ttemplin@unc.edu,12,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+ttemplin@unc.edu,17,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+ttemplin@unc.edu,19,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
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+ttemplin@unc.edu,3,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+ttemplin@unc.edu,15,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
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+ttemplin@unc.edu,16,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+ttemplin@unc.edu,13,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+xdantong12@gmail.com,20,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+xdantong12@gmail.com,8,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
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+xdantong12@gmail.com,17,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+xdantong12@gmail.com,12,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
+xdantong12@gmail.com,6,RISK ASSESSMENT.CRC risk assessments,FALSE,TRUE,
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diff --git a/script/assign_cases/generate_config.sh b/script/assign_cases/generate_config.sh
new file mode 100755
index 0000000..63ed207
--- /dev/null
+++ b/script/assign_cases/generate_config.sh
@@ -0,0 +1,338 @@
+#!/usr/bin/env sh
+
+# ---------------------------------------------------------------------------------------------------------------
+# generate_config.sh
+#
+# A Shell script to generate a configuration file for assigning cases to users in a database.
+# This script connects to a PostgreSQL database and retrieves a specified number of users and cases,
+# then generates a CSV file with the assigned cases and features for each user.
+#
+# This script requires the following parameters:
+# 1. Database host
+# 2. Database port (default is 5432)
+# 3. Database name
+# 4. Database user
+# 5. Number of users to select
+# 6. Number of cases per user
+# 7. Number of AI cases per user
+# 8. Output CSV file path (default is "config.csv", which is in the same directory as this script)
+#
+# It will create a CSV file for N users sampled from your public.user table, assigns each 24 random person-cases,
+# randomly flags 12 of them for AI (“RISK ASSESSMENT.CRC risk assessments”), and writes out one row per
+# (User, Case No., Path) in exactly the lab’s OMOP format.
+# You can then use this CSV file to configure the assignment of cases to users in your application. Specifically,
+# use it with Postman and the `https://augmed1.dhep.org/admin/config/upload` endpoint to upload the configuration
+# CSV for case assignments. The backend will then use this configuration to assign cases to users.
+#
+# To run:
+# 1. Change directory to the script's location: cd script/assign_cases
+# 1. Run: chmod +x generate_config.sh
+# 2. Run the script: (Remember to remove the # symbols at the beginning of each line)
+#   ./generate_config.sh \
+#     <db_host> \
+#     <db_port> \
+#     <db_name> \
+#     <db_user> \
+#     <number_of_users> \
+#     <cases_per_user> \
+#     <ai_per_user> \
+#     <output_file.csv>
+#
+# Example:
+#   ./generate_config.sh \
+#     localhost \
+#     5433 \
+#     aimaheaddev \
+#     aim_ahead \
+#     6 \
+#     20 10 \
+#     config.csv
+#
+# (Enter your database password when prompted)
+#
+# ---------------------------------------------------------------------------------------------------------------
+
+set -eu
+
+DB_HOST="$1"
+DB_PORT="$2"
+DB_NAME="$3"
+DB_USER="$4"
+NUM_USERS="$5"
+CASES_PER_USER="$6"
+RISK_CASES_PER_USER="$7"
+OUT="$8"
+
+# 1) Print a single header line.  (The CSV parser expects exactly these columns.)
+printf 'User,Case No.,Path,Collapse,Highlight,Top\n' > "$OUT"
+
+# 2) Run one big psql‐COPY that:
+#    • Picks N random users
+#    • Picks M random cases per user (only person_ids that exist in visit_occurrence)
+#    • For each sampled (user,case_id), fetch all leaf‐observations but filter them at random() < 0.5
+#      → emit only those chosen leaves, with Collapse=FALSE, Highlight=TRUE
+#    • Separately, pick K random “risk cases” per user → emit exactly one "CRC risk assessments" row for each
+#      of those, again with Collapse=FALSE, Highlight=TRUE
+psql -h "$DB_HOST" \
+     -p "$DB_PORT" \
+     -U "$DB_USER" \
+     -d "$DB_NAME" \
+     -A -F',' -t <<SQL >> "$OUT"
+WITH
+  -- STEP A: Pick N random users
+  users AS (
+    SELECT email
+    FROM public."user"
+    ORDER BY random()
+    LIMIT $NUM_USERS
+  ),
+
+  -- STEP B: All person_ids that actually have at least one visit (so get_case_by_user won't blow up)
+  valid_persons AS (
+    SELECT DISTINCT person_id
+    FROM public.visit_occurrence
+  ),
+
+  -- STEP C: Cross‐join to pick M random cases/user + K random “risk cases”/user
+  picks AS (
+    SELECT
+      u.email,
+      vp.person_id           AS case_no,
+      ROW_NUMBER() OVER (PARTITION BY u.email ORDER BY random()) AS rn_case,
+      ROW_NUMBER() OVER (PARTITION BY u.email ORDER BY random()) AS rn_risk
+    FROM users u
+    CROSS JOIN valid_persons vp
+  ),
+
+  sample_cases AS (
+    SELECT email, case_no
+    FROM picks
+    WHERE rn_case <= $CASES_PER_USER
+  ),
+
+  risk_cases AS (
+    SELECT email, case_no
+    FROM picks
+    WHERE rn_risk <= $RISK_CASES_PER_USER
+  ),
+
+  -- STEP D: Gather *all* leaf‐level observation rows for each (user,case_id)
+  all_leaves AS (
+    -- BACKGROUND.Family History (4167217)
+    SELECT
+      s.email,
+      s.case_no,
+      'BACKGROUND.Family History.' || o.value_as_string AS path
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 4167217
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- BACKGROUND.Social History.Smoke (4041306)
+    SELECT
+      s.email,
+      s.case_no,
+      'BACKGROUND.Social History.Smoke.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 4041306
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- BACKGROUND.Social History.Alcohol (4238768)
+    SELECT
+      s.email,
+      s.case_no,
+      'BACKGROUND.Social History.Alcohol.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 4238768
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- BACKGROUND.Social History.Drug use (4038710)
+    SELECT
+      s.email,
+      s.case_no,
+      'BACKGROUND.Social History.Drug use.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 4038710
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- BACKGROUND.Social History.Sexual behavior (4283657, 4314454)
+    SELECT
+      s.email,
+      s.case_no,
+      'BACKGROUND.Social History.Sexual behavior.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id IN (4283657, 4314454)
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- BACKGROUND.Medical History (1008364)
+    SELECT
+      s.email,
+      s.case_no,
+      'BACKGROUND.Medical History.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 1008364
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- PATIENT COMPLAINT.Chief Complaint (38000282)
+    SELECT
+      s.email,
+      s.case_no,
+      'PATIENT COMPLAINT.Chief Complaint.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 38000282
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- PATIENT COMPLAINT.Current Symptoms (38000280, 38000281, 44814721, 38000276)
+    SELECT
+      s.email,
+      s.case_no,
+      'PATIENT COMPLAINT.Current Symptoms.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id IN (38000280, 38000281, 44814721, 38000276)
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- PHYSICAL EXAMINATION.Abdomen (4152368)
+    SELECT
+      s.email,
+      s.case_no,
+      'PHYSICAL EXAMINATION.Abdomen.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 4152368
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- PHYSICAL EXAMINATION.Respiratory (4090320)
+    SELECT
+      s.email,
+      s.case_no,
+      'PHYSICAL EXAMINATION.Respiratory.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 4090320
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- PHYSICAL EXAMINATION.Vital Signs (4263222)
+    SELECT
+      s.email,
+      s.case_no,
+      'PHYSICAL EXAMINATION.Vital Signs.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 4263222
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- PHYSICAL EXAMINATION.Neurological (4154954)
+    SELECT
+      s.email,
+      s.case_no,
+      'PHYSICAL EXAMINATION.Neurological.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 4154954
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- PHYSICAL EXAMINATION.Ophthalmology (4080843)
+    SELECT
+      s.email,
+      s.case_no,
+      'PHYSICAL EXAMINATION.Ophthalmology.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 4080843
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- PHYSICAL EXAMINATION.Cardiovascular (36717771)
+    SELECT
+      s.email,
+      s.case_no,
+      'PHYSICAL EXAMINATION.Cardiovascular.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 36717771
+     AND o.value_as_string IS NOT NULL
+
+    UNION ALL
+    -- PHYSICAL EXAMINATION.Physical Characteristics (4086988)
+    SELECT
+      s.email,
+      s.case_no,
+      'PHYSICAL EXAMINATION.Physical Characteristics.' || o.value_as_string
+    FROM sample_cases s
+    JOIN public.observation o
+      ON o.person_id = s.case_no
+     AND o.observation_concept_id = 4086988
+     AND o.value_as_string IS NOT NULL
+  ),
+
+  -- STEP E: From all_leaves, randomly pick ~50% to “show” (WHERE random()<0.5)
+  shown_leaves AS (
+    SELECT email, case_no, path
+    FROM all_leaves
+    WHERE random() < 0.5
+  ),
+
+  -- STEP F: Emit exactly one CSV‐row for each chosen leaf, with Collapse=FALSE,Highlight=TRUE
+  leaf_rows AS (
+    SELECT
+      sl.email    AS "User",
+      sl.case_no  AS "Case No.",
+      sl.path     AS Path,
+      'FALSE'     AS Collapse,
+      'TRUE'      AS Highlight,
+      ''          AS Top
+    FROM shown_leaves sl
+  ),
+
+  -- STEP G: Emit one “CRC risk assessments” row for each (user,case_no) in risk_cases
+  risk_rows AS (
+    SELECT
+      rc.email   AS "User",
+      rc.case_no AS "Case No.",
+      'RISK ASSESSMENT.CRC risk assessments' AS Path,
+      'FALSE'    AS Collapse,
+      'TRUE'     AS Highlight,
+      ''         AS Top
+    FROM risk_cases rc
+  )
+
+-- UNION together leaf_rows + risk_rows
+SELECT * FROM leaf_rows
+UNION ALL
+SELECT * FROM risk_rows;
+SQL
+
+echo "Wrote $OUT"
diff --git a/src/cases/service/case_service.py b/src/cases/service/case_service.py
index d18662b..1509665 100644
--- a/src/cases/service/case_service.py
+++ b/src/cases/service/case_service.py
@@ -5,19 +5,14 @@
 from src.cases.controller.response.case_summary import CaseSummary
 from src.cases.model.case import Case, TreeNode
 from src.cases.repository.concept_repository import ConceptRepository
-from src.cases.repository.drug_exposure_repository import \
-    DrugExposureRepository
+from src.cases.repository.drug_exposure_repository import DrugExposureRepository
 from src.cases.repository.measurement_repository import MeasurementRepository
 from src.cases.repository.observation_repository import ObservationRepository
 from src.cases.repository.person_repository import PersonRepository
-from src.cases.repository.visit_occurrence_repository import \
-    VisitOccurrenceRepository
-from src.common.exception.BusinessException import (BusinessException,
-                                                    BusinessExceptionEnum)
-from src.common.repository.system_config_repository import \
-    SystemConfigRepository
-from src.user.repository.display_config_repository import \
-    DisplayConfigRepository
+from src.cases.repository.visit_occurrence_repository import VisitOccurrenceRepository
+from src.common.exception.BusinessException import (BusinessException, BusinessExceptionEnum)
+from src.common.repository.system_config_repository import SystemConfigRepository
+from src.user.repository.display_config_repository import DisplayConfigRepository
 from src.user.utils.auth_utils import get_user_email_from_jwt
 
 
@@ -40,7 +35,7 @@ def get_value_of_rows(rows: list, get_func) -> str | None | list:
 
 
 def is_leaf_node(config):
-    return isinstance(config, list) | isinstance(config, int)
+    return isinstance(config, list) or isinstance(config, int)
 
 
 def get_age(person, visit_occurrence):
@@ -80,16 +75,16 @@ def add_if_value_present(data, node):
 
 class CaseService:
     def __init__(
-        self,
-        visit_occurrence_repository: VisitOccurrenceRepository,
-        concept_repository: ConceptRepository,
-        measurement_repository: MeasurementRepository,
-        observation_repository: ObservationRepository,
-        person_repository: PersonRepository,
-        drug_exposure_repository: DrugExposureRepository,
-        configuration_repository: DisplayConfigRepository,
-        system_config_repository: SystemConfigRepository,
-        diagnose_repository: AnswerRepository,
+            self,
+            visit_occurrence_repository: VisitOccurrenceRepository,
+            concept_repository: ConceptRepository,
+            measurement_repository: MeasurementRepository,
+            observation_repository: ObservationRepository,
+            person_repository: PersonRepository,
+            drug_exposure_repository: DrugExposureRepository,
+            configuration_repository: DisplayConfigRepository,
+            system_config_repository: SystemConfigRepository,
+            diagnose_repository: AnswerRepository,
     ):
         self.person = None
         self.visit_occurrence_repository = visit_occurrence_repository
@@ -103,6 +98,10 @@ def __init__(
         self.diagnose_repository = diagnose_repository
 
     def get_case_detail(self, case_id):
+        """
+        Build the full TreeNode hierarchy for this single case_id (== person_id).
+        We do not prune anything here; we simply load every possible leaf.
+        """
         page_config = self.get_page_configuration()
         title_resolvers = {
             "BACKGROUND": self.get_nodes_of_background,
@@ -111,9 +110,10 @@ def get_case_detail(self, case_id):
         }
         data: list[TreeNode] = []
         for key, title_config in page_config.items():
-            add_if_value_present(
-                data, TreeNode(key, title_resolvers[key](case_id, title_config))
-            )
+            # Each top‐level key (e.g. "BACKGROUND") becomes a TreeNode whose children we fill in next.
+            candidate = TreeNode(key, title_resolvers[key](case_id, title_config))
+            if candidate.values:
+                data.append(candidate)
         return data
 
     def get_nodes_of_measurement(self, case_id, title_config):
@@ -124,15 +124,15 @@ def get_nodes_of_measurement(self, case_id, title_config):
                 case_id, title_concept_ids
             )
             if parent_measurements:
+                # Leaf‐level measurements (no further grouping needed)
                 data.append(
                     TreeNode(
                         section_name,
-                        get_value_of_rows(
-                            parent_measurements, self.get_value_of_measurement
-                        ),
+                        get_value_of_rows(parent_measurements, self.get_value_of_measurement),
                     )
                 )
             else:
+                # Sometimes OMOP groups measurement_concept_id under parents; handle that.
                 children_measurements = (
                     self.measurement_repository.get_measurements_of_parents(
                         case_id, title_concept_ids
@@ -149,7 +149,8 @@ def get_nodes_of_measurement(self, case_id, title_config):
                             get_value_of_rows(rows, self.get_value_of_measurement),
                         )
                     )
-                add_if_value_present(data, parent_node)
+                if parent_node.values:
+                    data.append(parent_node)
         return data
 
     def get_value_of_measurement(self, measurement) -> str | None:
@@ -183,7 +184,8 @@ def get_nodes_of_observation(self, case_id, title_config):
                         get_value_of_rows(rows, self.get_value_of_observation),
                     )
                 )
-            add_if_value_present(data, parent_node)
+            if parent_node.values:
+                data.append(parent_node)
         return data
 
     def get_value_of_observation(self, observation) -> str | None:
@@ -200,32 +202,42 @@ def get_value_of_observation(self, observation) -> str | None:
             value = value + " " + self.get_concept_name(observation.unit_concept_id)
         if value and observation.qualifier_concept_id:
             value = (
-                self.get_concept_name(observation.qualifier_concept_id) + " : " + value
+                    self.get_concept_name(observation.qualifier_concept_id) + " : " + value
             )
         return value
 
     def get_nodes_of_background(self, case_id, title_config):
+        """
+        Build everything under “BACKGROUND.”  First add “Patient Demographics,” then
+        one TreeNode per sub‐category (e.g. “Family History,” “Medical History,” etc.).
+        Each sub‐category TreeNode's .values is a list of strings (all possible leaf texts).
+        """
         data: list[TreeNode] = [
             self.get_nodes_of_patient(case_id),
         ]
         for key, config in title_config.items():
             node = TreeNode(key, self.get_nodes_of_nested_fields(case_id, config))
-            add_if_value_present(data, node)
+            if node.values:
+                data.append(node)
         return data
 
     def get_nodes_of_patient(self, case_id):
-        visit_occurrence = self.visit_occurrence_repository.get_visit_occurrence(
-            case_id
-        )
+        visit_occurrence = self.visit_occurrence_repository.get_visit_occurrence(case_id)
         person = self.person_repository.get_person(visit_occurrence.person_id)
         age = get_age(person, visit_occurrence)
         gender = self.get_concept_name(person.gender_concept_id)
         self.person = person
+        # “Patient Demographics” is always a pair of leaves [“Age”, “Gender”]
         return TreeNode(
-            "Patient Demographics", [TreeNode("Age", age), TreeNode("Gender", gender)]
+            "Patient Demographics",
+            [TreeNode("Age", age), TreeNode("Gender", gender)],
         )
 
     def get_nodes_of_nested_fields(self, case_id, config):
+        """
+        Recursively build nested TreeNodes if config is a dict; if config is a list
+        (i.e. a leaf concept_id list), fetch observations by those concept_ids.
+        """
         if is_leaf_node(config):
             observations = self.observation_repository.get_observations_by_concept(
                 case_id, config
@@ -233,56 +245,174 @@ def get_nodes_of_nested_fields(self, case_id, config):
             return get_value_of_rows(observations, self.get_value_of_observation)
         data: list[TreeNode] = []
         for key, nested_config in config.items():
-            node = TreeNode(
-                key, self.get_nodes_of_nested_fields(case_id, nested_config)
-            )
-            add_if_value_present(data, node)
+            node = TreeNode(key, self.get_nodes_of_nested_fields(case_id, nested_config))
+            if node.values:
+                data.append(node)
         return data
 
     def get_concept_name(self, concept_id):
         return self.concept_repository.get_concept(concept_id).concept_name
 
     def get_page_configuration(self):
+        """
+        The JSON config for “page_config” lives in `system_config`.
+        Example (abbreviated):
+        {
+          "BACKGROUND": {
+            "Family History": [4167217],
+            "Social History": { "Smoke": [4041306], ... },
+            "Medical History": [1008364],
+            "CRC risk assessments": [45614722]
+          },
+          "PATIENT COMPLAINT": { "Chief Complaint": [38000282], ... },
+          "PHYSICAL EXAMINATION": { "Abdominal": [4152368], ... }
+        }
+        """
         return self.system_config_repository.get_config_by_id("page_config").json_config
 
     def get_case_review(self, case_config_id):
-        configuration = self.configuration_repository.get_configuration_by_id(
-            case_config_id
-        )
+        """
+        1) Load the saved DisplayConfig (path_config list of { "path": "...", "style": {...} })
+           for this case_config_id + user_email. If none or wrong user, error.
+        2) Build the full “case_details” tree by calling `get_case_detail(case_id)`.
+        3) Prune each parent (e.g. “Family History”, “Medical History”, etc.) down to exactly the
+           leaves specified in path_config. Attach collapse/highlight/top style at the parent.
+        4) If the raw CSV contained exactly the path "RISK ASSESSMENT.CRC risk assessments", then
+           and only then fetch any “Adjusted CRC Risk: …” obs (concept_id = 45614722), rename it,
+           and append as “AI Colorectal Cancer Risk Score” under importantInfos.
+        5) Return a Case(...) object containing the pruned tree plus any “important info” nodes.
+        """
+        configuration = self.configuration_repository.get_configuration_by_id(case_config_id)
         current_user = get_user_email_from_jwt()
         if not configuration or configuration.user_email != current_user:
             raise BusinessException(BusinessExceptionEnum.NoAccessToCaseReview)
 
-        path_configurations = configuration.path_config if configuration else None
+        # 1) Build the raw case_details (unpruned – contains all leaves)
         case_details = self.get_case_detail(configuration.case_id)
 
-        important_infos = []
-        if path_configurations:
-            for item in path_configurations:
-                if item.get("style"):
-                    attach_style(item, case_details, important_infos)
-
+        # 2) Gather every single path_config entry into a map: parent_key → list of {leaf, style}
+        raw_path_cfg = configuration.path_config or []
+        parent_to_entries: dict[str, list[dict]] = defaultdict(list)
+
+        # Also: detect if the CSV explicitly toggled CRC risk assessments at all
+        has_crc_toggle = False
+
+        for entry in raw_path_cfg:
+            path_str = entry.get("path", "").strip()
+            style_dict = entry.get("style", {}) or {}
+            if not path_str:
+                # skip lines with no path
+                continue
+
+            # If exactly "RISK ASSESSMENT.CRC risk assessments" appears, note it:
+            if path_str == "RISK ASSESSMENT.CRC risk assessments":
+                has_crc_toggle = True
+
+            segments = path_str.split(".")
+            if len(segments) < 2:
+                # malformed, skip
+                continue
+            parent_key = ".".join(segments[:-1])  # e.g. "BACKGROUND.Family History"
+            leaf_text = segments[-1]  # e.g. "Diabetes: Yes"
+            parent_to_entries[parent_key].append({
+                "leaf": leaf_text,
+                "style": style_dict,
+            })
+
+        # 3) Build a list of important_infos for any node that has a “top” style
+        important_infos: list[dict] = []
+
+        # 4) Walk down case_details to prune each parent. We only prune under “BACKGROUND”
+        for top_node in case_details:
+            if top_node.key != "BACKGROUND":
+                continue
+            # top_node.values is a list of TreeNode children:
+            #   [ TreeNode("Patient Demographics"), TreeNode("Family History"), TreeNode("Social History"),
+            #     TreeNode("Medical History"), ... ]
+            for child in top_node.values:
+                # ALWAYS keep "Patient Demographics" as-is (Age/Gender). Skip pruning for it:
+                if child.key == "Patient Demographics":
+                    continue
+
+                parent_key = f"BACKGROUND.{child.key}"
+                if parent_key not in parent_to_entries:
+                    # If CSV asked nothing about this parent, prune _all_ leaves under it.
+                    child.values = []
+                    continue
+
+                # Otherwise, collect all leaf entries under this parent
+                entries = parent_to_entries[parent_key]
+                leaves_to_keep = {e["leaf"] for e in entries}
+
+                # child.values was originally a list of strings (all possible leaves). Prune:
+                child.values = [val for val in child.values if val in leaves_to_keep]
+
+                # Merge all style dicts from entries for this parent into one combined style
+                combined_style: dict = {}
+                for e in entries:
+                    style_dict = e.get("style") or {}
+                    # CSV generator sets collapse=False to indicate “show this leaf” → invert it
+                    if "collapse" in style_dict:
+                        combined_style["collapse"] = not style_dict["collapse"]
+                    if "highlight" in style_dict:
+                        combined_style["highlight"] = style_dict["highlight"]
+                    if "top" in style_dict:
+                        # If multiple “top” values, pick the largest weight
+                        if "top" not in combined_style or style_dict["top"] > combined_style["top"]:
+                            combined_style["top"] = style_dict["top"]
+
+                # Attach the merged style to this parent node
+                child.style = combined_style
+
+                # If there is a “top” key, add to important_infos
+                if "top" in combined_style:
+                    important_infos.append({
+                        "key": child.key,
+                        "values": child.values,
+                        "weight": combined_style["top"],
+                    })
+
+        # 5) Sort important_infos by weight, then convert to TreeNode list
         important_infos.sort(key=itemgetter("weight"))
-        sorted_important_infos = map(
-            lambda e: TreeNode(e["key"], e["values"]), important_infos
-        )
+        sorted_important_infos = list(map(lambda e: TreeNode(e["key"], e["values"]), important_infos))
+
+        # 6) ONLY if the CSV included "RISK ASSESSMENT.CRC risk assessments",
+        #    fetch any “Adjusted CRC Risk: …” observation (concept_id = 45614722),
+        #    rename it to “AI-Predicted CRC Risk Score”, and append as “AI Colorectal Cancer Risk Score”.
+        if has_crc_toggle:
+            crc_obs = self.observation_repository.get_observations_by_concept(
+                configuration.case_id, [45614722]
+            )
+            for obs in crc_obs:
+                if obs.value_as_string and obs.value_as_string.startswith("Adjusted CRC Risk"):
+                    # Rewrite the leaf text: replace "Adjusted CRC Risk" with "AI-Predicted CRC Risk Score"
+                    raw_text = obs.value_as_string  # e.g. "Adjusted CRC Risk: 0.546125"
+                    new_leaf = raw_text.replace(
+                        "Adjusted CRC Risk", "AI-Predicted CRC Risk Score"
+                    )
+                    # Use "AI Colorectal Cancer Risk Score" as the parent key
+                    sorted_important_infos.append(
+                        TreeNode("AI Colorectal Cancer Risk Score", [new_leaf])
+                    )
+                    break
 
+        # 7) Return a Case object containing:
+        #      • person_source_value (e.g. MRN or whatever)
+        #      • case_id  (converted to str)
+        #      • case_details
+        #      • importantInfos  (only includes AI‐CRC node if CSV requested RISK ASSESSMENT toggles)
         return Case(
             self.person.person_source_value,
             str(configuration.case_id),
             case_details,
-            list(sorted_important_infos),
+            sorted_important_infos,
         )
 
-    def __get_current_case_by_user(self, user_email) -> tuple:
+    def __get_current_case_by_user(self, user_email) -> tuple[int, str] | tuple[None, None]:
         case_config_pairs = (
-            self.configuration_repository.get_case_configurations_by_user(
-                user_email=user_email
-            )
-        )
-        completed_case_list = self.diagnose_repository.get_answered_case_list_by_user(
-            user_email=user_email
+            self.configuration_repository.get_case_configurations_by_user(user_email)
         )
+        completed_case_list = self.diagnose_repository.get_answered_case_list_by_user(user_email)
 
         for case_id, config_id in case_config_pairs:
             if config_id not in completed_case_list:
@@ -290,27 +420,27 @@ def __get_current_case_by_user(self, user_email) -> tuple:
         return None, None
 
     def get_cases_by_user(self, user_email) -> list[CaseSummary]:
-        case_id, config_id = self.__get_current_case_by_user(user_email=user_email)
+        """
+        Returns a list of CaseSummary for the _next_ incomplete case for this user.
+        If none remain, returns [].
+        """
+        case_id, config_id = self.__get_current_case_by_user(user_email)
         if not case_id or not config_id:
             return []
 
-        cases_summary_list = []
+        cases_summary_list: list[CaseSummary] = []
         page_config = self.get_page_configuration()
-        chief_complaint_concept_ids = page_config["PATIENT COMPLAINT"][
-            "Chief Complaint"
-        ]
-
-        visit_occurrence = self.visit_occurrence_repository.get_visit_occurrence(
-            case_id
-        )
+        chief_complaint_concept_ids = page_config["PATIENT COMPLAINT"]["Chief Complaint"]
 
+        visit_occurrence = self.visit_occurrence_repository.get_visit_occurrence(case_id)
         person = self.person_repository.get_person(visit_occurrence.person_id)
         age = get_age(person, visit_occurrence)
         gender = self.get_concept_name(person.gender_concept_id)
+
         observations = self.observation_repository.get_observations_by_type(
             case_id, chief_complaint_concept_ids
         )
-        patient_chief_complaint = []
+        patient_chief_complaint: list[str] = []
         for obs in observations:
             concept_name = self.get_concept_name(obs.observation_concept_id)
             if concept_name and concept_name not in patient_chief_complaint:
diff --git a/src/load_omop.sh b/src/load_omop.sh
new file mode 100755
index 0000000..9b92bfc
--- /dev/null
+++ b/src/load_omop.sh
@@ -0,0 +1,106 @@
+#!/usr/bin/env bash
+# ------------------------------------------------------------------------------------------------------------
+# load_omop.sh
+#
+# This script force-reloads the OMOP vocabulary and clinical data into a local PostgreSQL database.
+# It assumes the database is running locally and the user has appropriate permissions.
+# Change the DB_URL, VOCAB, and CLINICAL variables as needed.
+# NOTE: Make sure that you have downloaded the OMOP vocabulary from https://athena.ohdsi.org/vocabulary/list
+# and the clinical data is in the expected format in the specified directories before running this script.
+#
+# Usage: ./load_omop.sh
+#
+# ------------------------------------------------------------------------------------------------------------
+
+set -euo pipefail
+
+DB_URL="postgresql://localuser:localpass@localhost:5432/localdb"
+VOCAB="$HOME/vocab"
+CLINICAL="$HOME/data"
+
+echo "=== A) Prep: widen name columns & truncate everything ==="
+psql "$DB_URL" <<'EOF'
+-- 1) Widen all length-constrained name fields to TEXT
+ALTER TABLE concept             ALTER COLUMN concept_name             TYPE TEXT;
+ALTER TABLE vocabulary          ALTER COLUMN vocabulary_name         TYPE TEXT;
+ALTER TABLE domain              ALTER COLUMN domain_name             TYPE TEXT;
+ALTER TABLE concept_class       ALTER COLUMN concept_class_name      TYPE TEXT;
+ALTER TABLE concept_synonym     ALTER COLUMN concept_synonym_name    TYPE TEXT;
+ALTER TABLE relationship        ALTER COLUMN relationship_name        TYPE TEXT;
+ALTER TABLE concept_relationship ALTER COLUMN concept_relationship_name TYPE TEXT;
+ALTER TABLE concept_ancestor    ALTER COLUMN ancestor_desc             TYPE TEXT;
+ALTER TABLE drug_strength       ALTER COLUMN description             TYPE TEXT;
+
+-- 2) Truncate all vocab & clinical tables
+TRUNCATE concept_synonym,
+         concept_ancestor,
+         concept_relationship,
+         relationship,
+         concept_class,
+         domain,
+         vocabulary,
+         drug_strength,
+         concept
+  RESTART IDENTITY CASCADE;
+
+TRUNCATE person,
+         visit_occurrence,
+         observation,
+         measurement,
+         display_config
+  RESTART IDENTITY CASCADE;
+EOF
+
+echo "=== B) Disable triggers (to skip FK checks) ==="
+psql "$DB_URL" <<'EOF'
+-- disable triggers on vocab tables
+ALTER TABLE concept          DISABLE TRIGGER ALL;
+ALTER TABLE vocabulary       DISABLE TRIGGER ALL;
+ALTER TABLE domain           DISABLE TRIGGER ALL;
+ALTER TABLE concept_class    DISABLE TRIGGER ALL;
+ALTER TABLE concept_synonym  DISABLE TRIGGER ALL;
+ALTER TABLE relationship     DISABLE TRIGGER ALL;
+ALTER TABLE concept_relationship DISABLE TRIGGER ALL;
+ALTER TABLE concept_ancestor DISABLE TRIGGER ALL;
+ALTER TABLE drug_strength    DISABLE TRIGGER ALL;
+EOF
+
+echo "=== C) Bulk-load vocab (tabs) ==="
+psql "$DB_URL" <<EOF
+\COPY concept               FROM '$VOCAB/CONCEPT.csv'               WITH DELIMITER E'\t' CSV HEADER;
+\COPY vocabulary            FROM '$VOCAB/VOCABULARY.csv'            WITH DELIMITER E'\t' CSV HEADER;
+\COPY domain                FROM '$VOCAB/DOMAIN.csv'                WITH DELIMITER E'\t' CSV HEADER;
+\COPY concept_class         FROM '$VOCAB/CONCEPT_CLASS.csv'         WITH DELIMITER E'\t' CSV HEADER;
+\COPY concept_synonym       FROM '$VOCAB/CONCEPT_SYNONYM.csv'       WITH DELIMITER E'\t' CSV HEADER;
+\COPY relationship          FROM '$VOCAB/RELATIONSHIP.csv'          WITH DELIMITER E'\t' CSV HEADER;
+\COPY concept_relationship  FROM '$VOCAB/CONCEPT_RELATIONSHIP.csv'  WITH DELIMITER E'\t' CSV HEADER;
+\COPY concept_ancestor      FROM '$VOCAB/CONCEPT_ANCESTOR.csv'      WITH DELIMITER E'\t' CSV HEADER;
+\COPY drug_strength         FROM '$VOCAB/DRUG_STRENGTH.csv'         WITH DELIMITER E'\t' CSV HEADER;
+EOF
+
+echo "=== D) Re-enable triggers (restore FK enforcement) ==="
+psql "$DB_URL" <<'EOF'
+ALTER TABLE concept          ENABLE TRIGGER ALL;
+ALTER TABLE vocabulary       ENABLE TRIGGER ALL;
+ALTER TABLE domain           ENABLE TRIGGER ALL;
+ALTER TABLE concept_class    ENABLE TRIGGER ALL;
+ALTER TABLE concept_synonym  ENABLE TRIGGER ALL;
+ALTER TABLE relationship     ENABLE TRIGGER ALL;
+ALTER TABLE concept_relationship ENABLE TRIGGER ALL;
+ALTER TABLE concept_ancestor ENABLE TRIGGER ALL;
+ALTER TABLE drug_strength    ENABLE TRIGGER ALL;
+EOF
+
+echo "=== E) Load clinical OMOP data (commas) & assign cases ==="
+psql "$DB_URL" <<EOF
+\COPY person           FROM '$CLINICAL/person.csv'           WITH (FORMAT csv, HEADER true);
+\COPY visit_occurrence FROM '$CLINICAL/visit_occurrence.csv' WITH (FORMAT csv, HEADER true);
+\COPY observation      FROM '$CLINICAL/observation.csv'      WITH (FORMAT csv, HEADER true);
+\COPY measurement      FROM '$CLINICAL/measurement.csv'      WITH (FORMAT csv, HEADER true);
+
+INSERT INTO display_config (user_email, case_id, path_config)
+  SELECT 'test@unc.edu', visit_occurrence_id, '{}'::jsonb
+    FROM visit_occurrence;
+EOF
+
+echo "✅ All vocabulary and clinical data have been force-reloaded!"
diff --git a/src/user/utils/csv_parser.py b/src/user/utils/csv_parser.py
index accf7e2..51acc6e 100644
--- a/src/user/utils/csv_parser.py
+++ b/src/user/utils/csv_parser.py
@@ -1,10 +1,12 @@
 import csv
 import os
 from io import StringIO
-from typing import List
+from typing import List, Dict, Tuple
 
-from src.common.exception.BusinessException import (BusinessException,
-                                                    BusinessExceptionEnum)
+from src.common.exception.BusinessException import (
+    BusinessException,
+    BusinessExceptionEnum,
+)
 from src.user.model.display_config import DisplayConfig
 
 H_USER = "User"
@@ -19,33 +21,34 @@ def is_empty(value):
     return value is None or value == ""
 
 
-def str_to_bool(value):
-    return True if value.lower() == "true" else False
+def str_to_bool(value: str) -> bool:
+    return value.lower() == "true"
 
 
-def validate_and_extract_user_case(row):
-    user, case = row[H_USER], row[H_CASE]
+def validate_and_extract_user_case(row: Dict[str, str]) -> Tuple[str, int]:
+    user = row.get(H_USER, "").strip()
+    case = row.get(H_CASE, "").strip()
 
     if not user:
         raise BusinessException(BusinessExceptionEnum.InvalidUserEmail)
     if not case:
         raise BusinessException(BusinessExceptionEnum.InvalidCaseId)
 
-    return user, case
-
-
-def validate_and_convert_case_id(case):
+    # CSV might have whitespace—strip and convert to int
     try:
-        return int(case)
+        case_id = int(case)
     except (ValueError, TypeError):
         raise BusinessException(BusinessExceptionEnum.InvalidCaseId)
 
+    return user, case_id
+
 
-def validate_and_convert_top(row):
-    path, top = row[H_PATH], row[H_TOP]
+def validate_and_convert_top(row: Dict[str, str]) -> float or None:
+    path = row.get(H_PATH, "").strip()
+    top = row.get(H_TOP, "").strip()
 
     if not is_empty(top):
-        # The top config can not set on root node.
+        # “Top” can’t be set on a root‐level path
         if len(path.split(".")) < 2:
             raise BusinessException(BusinessExceptionEnum.ConfigFileIncorrect)
         # The top config only allow number as input.
@@ -53,69 +56,103 @@ def validate_and_convert_top(row):
             return float(top)
         except (ValueError, TypeError):
             raise BusinessException(BusinessExceptionEnum.ConfigFileIncorrect)
+    return None
+
+
+def build_style_dict(
+    collapse: str, highlight: str, top_value: float or None
+) -> Dict[str, bool or float]:
+    """
+    Build a style‐dictionary from CSV columns:
+      - Collapse: "TRUE" or "FALSE"
+      - Highlight: "TRUE" or "FALSE"
+      - Top: a float or empty
+
+    If both Collapse and Highlight are empty‐strings and Top is None,
+    returns {}.  Otherwise returns a dict with those keys present.
+    """
+    style: Dict[str, bool or float] = {}
+    collapse_str = collapse.strip()
+    highlight_str = highlight.strip()
+
+    if not is_empty(collapse_str):
+        style["collapse"] = str_to_bool(collapse_str)
+    if not is_empty(highlight_str):
+        style["highlight"] = str_to_bool(highlight_str)
+    if top_value is not None:
+        style["top"] = top_value
 
-
-def build_style_dict(collapse, highlight, top) -> dict:
-    style = {}
-    if not is_empty(collapse):
-        style["collapse"] = str_to_bool(collapse)
-    if not is_empty(highlight):
-        style["highlight"] = str_to_bool(highlight)
-    if not is_empty(top):
-        style["top"] = top
     return style
 
 
 class CsvConfigurationParser:
+    """
+    Parses a CSV of the form:
+       User,Case No.,Path,Collapse,Highlight,Top
+       alice@example.com,12,BACKGROUND.Family History.Diabetes: Yes,TRUE,FALSE,
+       alice@example.com,12,BACKGROUND.Medical History.Asthma: No,FALSE,TRUE,
+       ...
+
+    Our goal: For each distinct (user, case_id), collect *all* rows that share that pair,
+    and produce exactly one DisplayConfig(user_email, case_id, path_config=[…]) object,
+    where path_config is a list of {"path": PATH, "style": {...}} dictionaries.
+    """
     def __init__(self, csv_stream: StringIO):
-        csv_reader = csv.DictReader(csv_stream, delimiter=",")
-        self.csv_data = []
-        for row in csv_reader:
-            self.csv_data.append(row)
-        self.current_config = None
+        reader = csv.DictReader(csv_stream, delimiter=",")
+        self.rows: List[Dict[str, str]] = []
+        for row in reader:
+            self.rows.append(row)
 
     def parse(self) -> List[DisplayConfig]:
-        configurations = []
-
-        for row in self.csv_data:
-            user, case = validate_and_extract_user_case(row)
-            case_id = validate_and_convert_case_id(case)
-            top = validate_and_convert_top(row)
-
-            if self._should_create_new_config(user, case_id):
-                self.current_config = DisplayConfig(
-                    user_email=user, case_id=case_id, path_config=[]
-                )
-                configurations.append(self.current_config)
-
-            self._process_path_config(row, top)
-
-        return configurations
+        # Step 1: bucket all rows by (user, case_id)
+        # Map[(user, case_id)] → List[ (path_string, style_dict) ]
+        buckets: Dict[Tuple[str, int], List[Dict[str, object]]] = {}
+
+        for row in self.rows:
+            # 1a) Extract user & case_id (or throw on invalid)
+            user, case_id = validate_and_extract_user_case(row)
+
+            # 1b) Determine “top” if any
+            top_value = validate_and_convert_top(row)
+
+            # 1c) Build style dictionary from Collapse/Highlight/Top
+            collapse_str = row.get(H_COLLAPSE, "").strip()
+            highlight_str = row.get(H_HIGHLIGHT, "").strip()
+            style = build_style_dict(collapse_str, highlight_str, top_value)
+
+            # 1d) The “Path” column must always exist (or we skip if empty)
+            path = row.get(H_PATH, "").strip()
+            if is_empty(path):
+                # No path means nothing to do
+                continue
+
+            # Prepare a single entry: { "path": path, "style": style }.
+            # If style is empty‐dict, we still include path—but style:{} is fine.
+            entry: Dict[str, object] = {"path": path}
+            if style:
+                entry["style"] = style
 
-    def _should_create_new_config(self, user, case_id):
-        return (
-            self.current_config is None
-            or self.current_config.user_email != user
-            or self.current_config.case_id != case_id
-        )
+            key = (user, case_id)
+            if key not in buckets:
+                buckets[key] = []
+            buckets[key].append(entry)
 
-    def _process_path_config(self, row, top):
-        path, collapse, highlight = row[H_PATH], row[H_COLLAPSE], row[H_HIGHLIGHT]
+        # Step 2: For each bucket, create a DisplayConfig
+        result: List[DisplayConfig] = []
+        for (user, case_id), entries in buckets.items():
+            dc = DisplayConfig(user_email=user, case_id=case_id, path_config=[])
+            dc.path_config = entries[:]  # copy list of {path, style} dicts
+            result.append(dc)
 
-        if not is_empty(path):
-            style = build_style_dict(collapse, highlight, top)
-            if style:
-                self.current_config.path_config.append({"path": path, "style": style})
+        return result
 
 
 def parse_csv_stream_to_configurations(csv_stream: StringIO) -> List[DisplayConfig]:
-    parser = CsvConfigurationParser(csv_stream)
-    return parser.parse()
+    return CsvConfigurationParser(csv_stream).parse()
 
 
-def is_csv_file(filename: str | None):
+def is_csv_file(filename: str or None) -> bool:
     if filename is None:
         return False
-
-    _, extension = os.path.splitext(filename)
-    return extension == ".csv"
+    _, ext = os.path.splitext(filename)
+    return ext.lower() == ".csv"