NiranAI - Intelligent Diagnostic Workstation

Activity #3324

Updated by Thara S Pillai over 1 year ago

check feasibility of the following for role-based feature access and study filtering for radiologists 
 *1. 1. Institution Management* Management 
 Database Setup: Maintain a lookup table with institution details: 
 CREATE TABLE institutions ( 
     id SERIAL PRIMARY KEY, 
     name VARCHAR(255), 
     address TEXT, 
     …….. 
     other_details JSONB 
 ); 
 Keycloak Group Management: 
 • 	 Create Keycloak Groups for each institution using Keycloak APIs. 
 • 	 Map Institution IDs from the database to the corresponding Keycloak Group IDs for backend integration. 
 Create a db record and Keycloak group for NIMHANS, Bangalore and assign user to the group. 
 *2. 2. Role-Based feature Access Control* Control  
 • 	 Roles to be Created in Keycloak: 
 o 	 basic-viewer: Provides basic viewing permissions. (default features and tools of OHIF viewer) 
 o 	 ai-segmentation: Grants access to AI-based segmentation features. 
 o 	 ai-llm-diagnosis: Enables AI-based diagnostic tools. 
 • 	 Role Mapping: 
 o 	 Assign roles to users through Keycloak Admin Console or Keycloak API. 
 o 	 A user interface in application to create/modify users with roles. (future vesions) 
 *3. 3. Front-End Role Management* Management 
 • 	 Decode Authentication on the front-end to extract roles and institutional details from the token payload. 
 • 	 Implement feature gating based on the decoded roles (enable/disable of AI based feature icons based on roles) 
 *4. 4. Patient List Filtering & Study Assignment:* Assignment: 
 • 	 Store Metadata in the Database during image upload or assignment to a radiologist: 
 CREATE TABLE image_metadata ( 
     id SERIAL PRIMARY KEY, 
     user_id INT REFERENCES users(id), -- Assigned radiologist 
     patient_id VARCHAR(255), 
     patient_name VARCHAR(255), 
     study_instance_uid VARCHAR(255), 
     study_date DATE, 
     dicom_study_url TEXT, -- URL to fetch series from PACS 
     modality VARCHAR(50), 
     ….. 
     created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP 
 ); 

 • 	 Patient List Rendering: Fetch patient list from the image_metadata table for the logged-in radiologist 
 • 	 On patient selection, use the dicom_study_url to query the PACS for multiple modality series. (Assuming: All modalities under one study are assigned to one radiologist. Modality/series wise assignment not considered.) 

 *Create detailed sub-level activities for development and assign resources.* 

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