Taowei David Wang
Catherine Plaisant
Ben Shneiderman
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,[22] our information visualization system, and user comments, both collected over eight different medical case studies. We generalize our experience into an information-seeking process model for multiple EHRs. Based on our analysis, we make recommendations to future information visualization designers for EHRs on design requirements and future research directions.
- R. Bade, S. Schelchtweg, and S. Miksch. Connecting time-oriented data and information to a coherent interactive visualization. CHI '04: Proc. of the SIGCHI conference on Human factors in computing systems, 105--112, New York, NY, USA, 2004. ACM. Google Scholar
Digital Library
- S. K. Card, J. D. Mackinlay, and B. Shneiderman. Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers, San Francisco, CA, USA, 1999. Google ScholarDigital Library
- Y. Chen. Documenting transitional information in emr. In Proc. of the 28th international conference on Human factors in computing systems, 1787--1796, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- L. Chittaro, C. Combi, and G. Trapasso. Data minding on temporal data: a visual approach and its clinical application to hemodialysis. Journal of visual Languages and Computing, 14: 591--620, 2003.Google Scholar
- DataMontage. http://www.stottlerhenke.com/datamontage/.Google Scholar
- D. L. Hansen, D. Rotman, E. Bonsignore, N. Milić-Frayling, E. M. Rodrigues, M. Smith, and B. Shneiderman. Do you know your way to NSA?: A process model for analyzing and visualizing social media data, Technical Report HCIL-2009-17, Human-Computer Interaction Lab, University of Maryland, 2009.Google Scholar
- K. Hinum, S. Miksch, W. Aigner, S. Ohmann, C. Popow, M. Pohl, and M. Rester. Gravi++: Interactive information visualization to explore highly structured temporal data. Journal of Universal Computer Science (J. UCS) - Special Issue on Visual Data Mining, 11(11): 1792--1805, 2005.Google Scholar
- W. Horn, C. Popow, and L. Unterasinger. Support for fast comprehension of icu data: Visualization using metaphor graphics. Methods of Information in Medecine, 40(5): 421--424, 2001.Google ScholarCross Ref
- I. Janszky and R. Ljung. Shifts to and from daylight saving time and incidence of myocardial infarction. New England Journal of Medicine, 359(18): 1966--1968, 2008.Google ScholarCross Ref
- D. Klimov, Y. Shahar, and M. Taieb-Maimon. Intelligent selection and retrieval of multiple time-oriented records. Journal of Intelligent Information Systems (Published Online), 2009. Google ScholarDigital Library
- Microsoft. http://www.microsoft.com/amalga/.Google Scholar
- S. Murphy, M. Mendis, K. Hackett, R. Kuttan, W. Pan, L. Phillips, V. Gainer, D. Berkowicz, J. Glaser, I. Kohane, and H. Chueh. Architecture of the open-source clinical research chart from informatics for integrating biology and the bedside. In Proc. of the American Medical Informatics Association Annual Symposium (AMIA '07), 548--552, 2007.Google Scholar
- D. S. Pieczkiewicz, S. M. Finkelstein, and M. I. Hertz. Design and evaluation of a web-based interactive visualization system for lung transplant home monitoring data. Proc. of the American Medical Informatics Association Annual Symposium (AMIA '07), 598--602, 2007.Google Scholar
- P. Pirolli and S. K. Card. The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis. In Proc. of the 2005 International Conference on Intelligence Analysis, 6, 2005.Google Scholar
- C. Plaisant, R. Mushlin, A. Snyder, J. Li, D. Heller and B. Shneiderman. Lifelines: Using Visualization to enhance navigation and analysis of patient records. Proc. of AMIA,76--80, 1998.Google Scholar
- A. R. Post and J. H. Harrison. Protempa: A method for specifying and identifying temporal sequences in retrospective data for patient selection. JAMIA, 2007.Google ScholarCross Ref
- S. Powsner and E. Tufte. Graphical summary of patient status. The Lancet, 344: 386--389, 1994.Google ScholarCross Ref
- A. Rind, T. D. Wang, W. Aigner, S. Miksh, K. Wongsuphasawat, C. Plaisant and B. Shneiderman. Interactive information visualization for exploring and querying electronic health records: A systematic review. Technical Report, Human-Computer Interaction Lab, University of Maryland, 2010.Google Scholar
- A. Sarcevic. "who's scribing?": documenting patient encounter during trauma resuscitation. In Proc. of the 28th International Conference on Human factors in computing systems, 1899--1908, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- B. Shneiderman and C. Plaisant. Strategies for evaluating information visualization tools: Multi-dimensional in-depth long-term case studies. Proc. of BELIV '06, 38--43, 2006. Google ScholarDigital Library
- J. J. Thomas and K. A. Cook. Illuminating the Path: The Research and Development Agenda for Visual Analytics. National Visualization and Analytics Center, 2004.Google Scholar
- T. D. Wang, C. Plaisant, A. J. Quinn, R. Stanchak, S. Murphy, and B. Shneiderman. Aligning temporal data by sentinel events: discovering patterns in electronic health records. Proc. of the 26th International Conference on Human Factors in Computing Systems, 457--466, New York, NY, USA, 2008. ACM. Google ScholarDigital Library
- T. D. Wang, C. Plaisant, B. Shneiderman, N. Spring, D. Roseman, G. Marchand, V. Mukherjee, and M. Smith. Temporal summaries: Supporting temporal categorical searching, aggregation, and comparison. IEEE Transaction on Visualization and Computer Graphics, 15(6): 1049--1056, 2009. Google ScholarDigital Library
- L. Wilcox, J. Lu, J. Lai, S. Feiner, and D. Jordan. Physician-driven management of patient progress notes in an intensive care unit. In Proc. of the 28th International Conference on Human factors in computing systems, 1879--1888, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- L. Wilcox, D. Morris, D. Tan, and J. Gatewood. Designing patient-centric information displays for hospitals. In Proc. of the 28th international conference on Human factors in computing systems, 2123--2132, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- K. Wongsuphasawat and B. Shneiderman. Finding comparable temporal categorical records: A similarity measure with an interactive visualization. Proc. of IEEE Symposium on Visual Analytics Science and Technology (VAST '09), 27--34, 2009.Google ScholarCross Ref
- X. Zhou, M. S. Ackerman, and K. Zheng. Doctors and psychosocial information: records and reuse in inpatient care. In Proc. of the 28th international conference on Human factors in computing systems, 1767--1776, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
Index Terms
- Visual information seeking in multiple electronic health records: design recommendations and a process model
Recommendations
Electronic health records: how can IS researchers contribute to transforming healthcare?
Electronic health records (EHR) facilitate integration of patient health history for planning safe and proper treatment. Combined with data analytics, aggregate-level EHR enable examination and development of effective medicines and therapies for ...
Management of Electronic Health Records in Virtual Health Environments: The Case of Rocket Health in Uganda
This article examined the management of electronic health records in virtual health environments using rocket health as a case study. The specific objectives of the study were to determine the healthcare services provided at rocket health; examine the ...
Meaningful Use of Electronic Health Records for Physician Collaboration: A Patient Centered Health Care Perspective
HICSS '14: Proceedings of the 2014 47th Hawaii International Conference on System SciencesEHRs (Electronic Health Records), can contribute greatly to improving care and managing the rising costs of healthcare. The use and the integration of EHRs (Electronic Health Records) in supporting collaboration to increase the efficiency and ...
Comments