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.
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Acknowledgements
We appreciate the support from NIH-National Cancer Institute grant RC1CA147489-02: Interactive Exploration of Temporal Patterns in Electronic Health Records. We would like to thank MedStar Health for their continued support of our work. We would like to thank Dr. Mark Smith, Dr. Phuong Ho, Mr. David Roseman, Dr. Greg Marchand, and Dr. Vikramjit Mukherjee for their close collaboration.
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Wang, T.D., Wongsuphasawat, K., Plaisant, C. et al. Extracting Insights from Electronic Health Records: Case Studies, a Visual Analytics Process Model, and Design Recommendations. J Med Syst 35, 1135–1152 (2011). https://doi.org/10.1007/s10916-011-9718-x
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DOI: https://doi.org/10.1007/s10916-011-9718-x