ML Based Capacity Estimation for Advance Care Planning
Poster Number: P149
Presentation Time: 05:00 PM - 06:30 PM
Abstract Keywords: Machine Learning, Clinical Decision Support, Population Health, Chronic Care Management, Critical Care, Workflow
Primary Track: Applications
Programmatic Theme: Public Health Informatics
The study addresses the challenge of identifying patient population for advanced care planning by leveraging Electronic Health Record (EHR) data to predict 1-year mortality risk scores using the Laboratory-Based Risk Stratification (LabRS) model. The study outlines the application of the prediction tool and explores how a risk stratified patient list can guide providers for capacity estimation and workflow planning in healthcare systems. Through a structured workflow, patients are identified, reviewed, and referred to appropriate ACP programs.
Speaker(s):
Biplab S Bhattacharya, PhD
Geisinger Health System
Poster Number: P149
Presentation Time: 05:00 PM - 06:30 PM
Abstract Keywords: Machine Learning, Clinical Decision Support, Population Health, Chronic Care Management, Critical Care, Workflow
Primary Track: Applications
Programmatic Theme: Public Health Informatics
The study addresses the challenge of identifying patient population for advanced care planning by leveraging Electronic Health Record (EHR) data to predict 1-year mortality risk scores using the Laboratory-Based Risk Stratification (LabRS) model. The study outlines the application of the prediction tool and explores how a risk stratified patient list can guide providers for capacity estimation and workflow planning in healthcare systems. Through a structured workflow, patients are identified, reviewed, and referred to appropriate ACP programs.
Speaker(s):
Biplab S Bhattacharya, PhD
Geisinger Health System
ML Based Capacity Estimation for Advance Care Planning
Category
Poster - Regular
Description
Date: Tuesday (11/12)
Time: 05:00 PM to 06:30 PM
Room: Grand Ballroom (Posters)
Time: 05:00 PM to 06:30 PM
Room: Grand Ballroom (Posters)