Extracting Insights from Electronic Health Records: Case Studies, a Visual Analytics Process Model, and Design Recommendations

Authors:
Taowei David Wang;Krist Wongsuphasawat;Catherine Plaisant;Ben Shneiderman
Affiliations:
Department of Computer Science & Human-Computer Interaction Lab, University of Maryland, College Park, USA 20742 and , Boston, USA 02129;Department of Computer Science & Human-Computer Interaction Lab, University of Maryland, College Park, USA 20742;Department of Computer Science & Human-Computer Interaction Lab, University of Maryland, College Park, USA 20742;Department of Computer Science & Human-Computer Interaction Lab, University of Maryland, College Park, USA 20742
Venue:
Journal of Medical Systems
Year:
2011

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Abstract

Current electronic health record (EHR) systems facilitate the storage, retrieval, persistence, and sharing of patient data. However, the way physicians interact with EHRs has not changed much. More specifically, support for temporal analysis of a large number of EHRs has been lacking. A number of information visualization techniques have been proposed to alleviate this problem. Unfortunately, due to their limited application to a single case study, the results are often difficult to generalize across medical scenarios. We present the usage data of Lifelines2 (Wang et al. 2008), our information visualization system, and user comments, both collected over eight different medical case studies. We generalize our experience into a visual analytics process model for multiple EHRs. Based on our analysis, we make seven design recommendations to information visualization tools to explore EHR systems.