Type:
Other Educational Events
Session ID:
EHL2
Title:
Informatics-Driven Framework for Evaluating Health Systems of Care
Description:
Establishing robust systems of care are crucial for ensuring care continuity across the spectrum of pre-hospital, in-hospital, and post-hospital settings. Utilizing data from a tertiary healthcare system comprised of a network of 7 certified stroke centers, we present our experience and preliminary findings from a research initiative in which we connect health information from across multiple data modalities. Our overall objective is to leverage mixed computational methods (e.g., sequential pattern mining, process mapping, recurrent neural networks) to develop a decision-support model to identify stroke survivors at increased risk of undergoing unfavorable health trajectories during their recovery and rehabilitation.
Level:
Introductory
Learning Objective #1:
Evaluate the feasibility and utility of a research framework for managing and optimizing health systems of care
Learning Objective #2:
Discuss the challenges and opportunities that arise when connecting health information across multiple data modalities
Learning Objective #3:
Identify robust and innovative methods for leveraging data and informatics-driven approaches to study patterns of care and outcomes among stroke patients
Learning Objective #4:
Develop ideas or proposals to scale the presented framework to other clinical and health domains