Composer: Visual Cohort Analysis of Patient Outcomes

Composer screenshot

Abstract

Visual cohort analysis utilizing electronic health record (EHR) data has become an important tool in clinical assessment of patient outcomes. In this paper, we introduce Composer, a visual analysis tool for orthopaedic 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. With Composer, analysts can dynamically define a patient cohort using demographic information, clinical parameters, and events in patient medical histories and then analyze patient-reported outcome scores for the cohort over time, as well as compare it to other cohorts. We describe a usage scenario for use of the tool in a clinical setting.

Citation

Jen Rogers, Nicholas Spina, Ashley Neese, Rachel Hess, Darrel Brodke, Alexander Lex
Composer: Visual Cohort Analysis of Patient Outcomes
Workshop on Visual Analytics in Healthcare at AMIA (VAHC 2018), 2018.

BibTeX

@inproceedings{2018_vahc_composer,
  title = {Composer: Visual Cohort Analysis of Patient Outcomes},
  author = {Jen Rogers and Nicholas Spina and Ashley Neese and Rachel Hess and Darrel Brodke and Alexander Lex},
  booktitle = {Workshop on Visual Analytics in Healthcare at AMIA (VAHC 2018)},
  year = {2018}
}

Note

This is a workshop paper which was extended to a journal paper. Please refer to and cite the journal paper instead.

Acknowledgements

We thank Sahar Mehrpour for initial data analysis and implementation. This project is funded by the Orthopaedic Research Center and NSF IIS 1751238.