193 lines
5.2 KiB
Plaintext
193 lines
5.2 KiB
Plaintext
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alwaysApply: true
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---
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Radiologist App Flow Guide
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1. Onboarding Flow
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There are two ways for a radiologist to join the platform:
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A. Self-Registration (via App)
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Start App Signup → Radiologist enters email address
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Email Check
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If email already exists → Show message "Already Registered" → Redirect to Login
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If new email → Continue to next step
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Set Password → Create secure password
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Enter Personal Info → Complete profile information
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Upload Hospital ID → for verification
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Select Hospital/Institution → Choose affiliated organization → Wait for admin approval
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Note: Radiologist registration requires additional verification of Uploaded hospital-ID. Status remains 'Inactive' until admin approval.
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After Review → Login → Reset Password → Radiologist Dashboard
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B. Admin-Created Radiologist
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Admin creates radiologist account in the system
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Login credentials sent to radiologist's registered email address
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Radiologist logs in using received credentials
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Upload Hospital ID → Upload the ID-Card issued by the hospital
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Reset Password → Access Radiologist Dashboard
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2. Dashboard Overview
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When the radiologist logs in, they access a specialized Dashboard displaying:
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Cases Prediction Review (AI predictions over all review)
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Total Cases Reviewed (lifetime review count like feedback given by radiologist)
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Feedback Statistics (Agreed/Disagreed with AI predictions)
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Priority Cases (High-severity cases requiring immediate attention)
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3. Patient List & Review Queue
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Accessible from the Patient List Tab and Review Queue Tab.
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Patient List View
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Displays patient information in a structured table/card layout with the following details:
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Patient ID & Demographics
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Clinical History (if available)
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Scan Details (date, type, protocol)
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Previous Radiology Reports (if any)
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Modality
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Report Status (available/not available)
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Series Information
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Filtering Options:
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All Cases
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Processed (Data already proceessed by AI)
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Pending (Data need to proceesss)
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4. Case Review Interface
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Clicking a case opens the Case Review Interface with:
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Patient Information Panel:
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Patient ID & Demographics
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Clinical History (if available)
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Scan Details (date, type, protocol)
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Previous Radiology Reports (if any)
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AI Analysis Panel:
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AI Predictions Summary
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Confidence Scores for each finding
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Severity Classifications
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Location Mappings
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Processing Time and Algorithm Version
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DICOM Viewer Panel:
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Full-screen DICOM image viewer with professional tools
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Advanced viewing controls:
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Zoom functionality
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Frame navigation with slide bar control
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Local DICOM Upload - Option to choose and load DICOM files from local system
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Feedback Panel:
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Overall Assessment
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✅ Agree with AI - AI prediction is accurate
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🔶 Partially Agree - Some findings correct, others missed/incorrect
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❌ Disagree with AI - AI prediction is inaccurate
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Detailed Feedback by Finding
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True Positive ✓ (AI correctly identified finding)
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False Positive ✗ (AI incorrectly identified finding)
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False Negative ✗ (AI missed actual finding)
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Additional Findings (Findings not detected by AI)
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5. AI Predictions Analysis & DICOM Viewer
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Series Navigation:
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Each Series contains multiple images
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Thumbnail navigation strip
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Scroll through series (e.g., Image 15 of 120)
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Detailed AI Analysis:
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Hemorrhage Detection
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Epidural
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Subdural
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Subarachnoid
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Intraparenchymal
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Intraventricular
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Stroke Analysis
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Midline shift measurement
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Confidence Scoring:
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Overall Confidence: 85.6%
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Per-finding Confidence:
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Subdural hematoma: 94.2%
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Midline shift: 78.9%
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No acute stroke: 91.5%
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6. Completed Reviews & History
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Review History Tab:
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List of all previously reviewed cases
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Review statistics and performance metrics
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Case Features:
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AI System Performance (Radiologist Perspective):
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Algorithm Accuracy based on radiologist feedback
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Common AI Errors and patterns
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Suggested Improvements submission portal
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8. Profile & Account Management
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Profile Card:
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Display Name
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Role (Radiologist)
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Email Address
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Profile Picture (Optional)
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Account Management Options:
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Edit Profile:
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Update personal details
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Update dispaly name
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Change Password:
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Reset login password
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Navigation Flow Summary
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App Launch
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↓
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Registration/Login
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↓
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Radiologist Dashboard (Main Hub)
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├── Review Queue
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│ └── Case Review Interface
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│ ├── Patient Info
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│ ├── AI Analysis
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│ ├── DICOM Viewer
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│ └── Feedback Panel
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├── Completed Reviews
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│ └── Review History & Analytics
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├── Performance Dashboard
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│ └── Personal & AI Metrics
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├── Profile Management
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│ ├── Edit Profile
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│ └── Change Password
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└── Logout
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Key Features
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Comprehensive Case Review with advanced DICOM viewing capabilities
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Detailed AI Feedback System for continuous algorithm improvement
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Performance Analytics for personal and system-wide metrics
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Professional-grade Tools for accurate radiological assessment
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Streamlined Workflow optimized for radiology practice
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Quality Assurance features for maintaining diagnostic standards
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Educational Components for continuous learning and improvement
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This flow guide ensures radiologists can efficiently review AI predictions, provide meaningful feedback, and maintain the highest standards of diagnostic accuracy while contributing to AI system improvement. |