Composer: Visual Cohort Analysis of Patient Outcomes
Jennifer Rogers, Nicholas Spina, Ashley Neese, Rachel Hess, Darrel, Brodke, Alexander Lex (University of Utah)

TL;DR
Composer is a visual analysis tool designed for orthopedic surgeons to compare patient outcomes after spinal procedures, aiding clinical decision-making through cohort analysis of electronic health records.
Contribution
We developed Composer, a novel visual cohort analysis tool tailored for orthopedic research, enabling dynamic patient cohort definition and outcome comparison.
Findings
Prototype successfully analyzes patient-reported outcomes over time.
Tool facilitates comparison of different patient cohorts.
Designed to be adaptable to other healthcare domains.
Abstract
Objective: Visual cohort analysis utilizing electronic health record data has become an important tool in clinical assessment of patient outcomes. In this paper, we introduce Composer, a visual analysis tool for orthopedic surgeons to compare changes in physical functions of a patient cohort following various spinal procedures. The goal of our project is to help researchers analyze outcomes of procedures and facilitate informed decision-making about treatment options between patient and clinician. Methods: In collaboration with Orthopedic surgeons and researchers, we defined domain-specific user requirements to inform the design. We developed the tool in an iterative process with our collaborators to develop and refine functionality. With Composer, analysts can dynamically define a patient cohort using demographic information, clinical parameters, and events in patient medical histories…
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Taxonomy
TopicsData Visualization and Analytics · Human Pose and Action Recognition · Video Analysis and Summarization
