FHIR-Based Visual Simulation of Consent-Driven Granular Patient Data Segmentation
Presentation Time: 08:36 AM - 08:54 AM
Abstract Keywords: Data Sharing, Clinical Decision Support, Patient Engagement and Preferences
Primary Track: Applications
Programmatic Theme: Clinical Informatics
SHARES (Substance use HeAlthcare REcord Sharing) is an open source suite for patients to set granular privacy preferences for sensitive health data (e.g., substance use disorder information (SUD)) stored in Fast Healthcare Interoperability Resources (FHIR) medical records. The SHARES framework enables users to specify what data to share, while the Clinical Decision Support System (CDSS) applies confidence-based sensitivity classifications with locale-specific configurations. The SHARES Simulation Tool displays how consent settings impact data segmentation.
Speaker(s):
Preston Lee, PhD, MBA
College of Health Solutions, Arizona State University
Adela Grando, PhD
Arizona State University
Author(s):
Preston Lee, PhD, MBA - College of Health Solutions, Arizona State University; Abhishek Singh Dhadwal, BS - Arizona State University; Adela Grando, PhD - Arizona State University;
Presentation Time: 08:36 AM - 08:54 AM
Abstract Keywords: Data Sharing, Clinical Decision Support, Patient Engagement and Preferences
Primary Track: Applications
Programmatic Theme: Clinical Informatics
SHARES (Substance use HeAlthcare REcord Sharing) is an open source suite for patients to set granular privacy preferences for sensitive health data (e.g., substance use disorder information (SUD)) stored in Fast Healthcare Interoperability Resources (FHIR) medical records. The SHARES framework enables users to specify what data to share, while the Clinical Decision Support System (CDSS) applies confidence-based sensitivity classifications with locale-specific configurations. The SHARES Simulation Tool displays how consent settings impact data segmentation.
Speaker(s):
Preston Lee, PhD, MBA
College of Health Solutions, Arizona State University
Adela Grando, PhD
Arizona State University
Author(s):
Preston Lee, PhD, MBA - College of Health Solutions, Arizona State University; Abhishek Singh Dhadwal, BS - Arizona State University; Adela Grando, PhD - Arizona State University;
FHIR-Based Visual Simulation of Consent-Driven Granular Patient Data Segmentation
Category
Systems Demonstration