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01-12-2016 | Systems-Level Quality Improvement

Clinical Data Visualization: The Current State and Future Needs

Authors: Jonathan P. Wanderer, Sara E. Nelson, Jesse M. Ehrenfeld, Shelby Monahan, Soojin Park

Published in: Journal of Medical Systems | Issue 12/2016

Abstract

The growing volume of clinical data in modern medical practice creates difficulties for clinicians when attempting to come to a full understanding of each patient’s overall health status. Many different approaches to computer-based visualizations have been taken in an attempt to alleviate this burden; however, no single approach has been widely adopted. As a step towards optimization and standardization of data visualization in healthcare, this paper presents a diverse set of approaches to visualization for multiple organ systems. To do so we summarize best practices in design and evaluation while proposing usability testing methodology. We then review and illustrate the goals of various clinical data visualization techniques.

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Jensen, P. B., Jensen, L. J., and Brunak, S., Mining electronic health records: Towards better research applications and clinical care. Nat. Rev. Genet. 13(6):395–405, 2012.CrossRefPubMed

Stead, W., and Lin, H., National research council (US). committee on engaging the computer science research community in health care informatics: Computational technology for effective health care: Immediate steps and strategic directions. National Academies Press, Washington DC, 2009.

Staggers, N., A systematic review on the designs of clinical technology: Findings and recommendations for future research. ANS Adv. Nurs. Sci. 32(3):252, 2009.CrossRefPubMedPubMedCentral

Badgeley, M. A., Shameer, K., Glicksberg, B. S., Tomlinson, M. S., Levin, M. A., McCormick, P. J., Kasarskis, A., Reich, D. L., and Dudley, J. T., EHDViz: Clinical dashboard development using open-source technologies. BMJ Open 6(3):e010579, 2016.CrossRefPubMedPubMedCentral

Starren, J., and Johnson, S. B., An object-oriented taxonomy of medical data presentations. J. Am. Med. Inform. Assoc. 7(1):1–20, 2000.CrossRefPubMedPubMedCentral

Wallace, C. J., Bigelow, S., Xu, X., and Elstein, L., Collaborative practice: Usability of text-based, electronic patient care guidelines. Comput. Inform. Nurs. 25(1):39–44, 2007.CrossRefPubMed

Wachter, S. B., Noah, S., Drews, F., Weinger, M. B., and Westenskow, D., The employment of an iterative design process to develop a pulmonary graphical display. J. Am. Med. Inform. Assoc. 10(4):363–372, 2003.CrossRefPubMedPubMedCentral

Gurses, A. P., Xiao, Y., and Hu, P., User-designed information tools to support communication and care coordination in a trauma hospital. J. Biomed. Inform. 42(4):667–677, 2009.CrossRefPubMed

Payne, P. R., and Starren, J. B., Quantifying visual similarity in clinical iconic graphics. J. Am. Med. Inform. Assoc. 12(3):338–345, 2005.CrossRefPubMedPubMedCentral

10.

Law, A. S., Freer, Y., Hunter, J., Logie, R. H., McIntosh, N., and Quinn, J., A comparison of graphical and textual presentations of time series data to support medical decision making in the neonatal intensive care unit. J. Clin. Monit. Comput. 19(3):183–194, 2005.CrossRefPubMed

11.

Charabati, S., Bracco, D., Mathieu, P., and Hemmerling, T., Comparison of four different display designs of a novel anaesthetic monitoring system, the ‘integrated monitor of anaesthesia (IMA™)’. Br. J. Anaesth. 103(5):670–677, 2009.CrossRefPubMed

12.

Pieczkiewicz, D. S., and Finkelstein, S. M., Evaluating the decision accuracy and speed of clinical data visualizations. J. Am. Med. Inform. Assoc. 17(2):178–181, 2010.CrossRefPubMedPubMedCentral

13.

Blike, G. T., Surgenor, S. D., Whalen, K., and Jensen, J., Specific elements of a new hemodynamics display improves the performance of anesthesiologists. J. Clin. Monit. Comput. 16(7):485–491, 2000.CrossRefPubMed

14.

Blike, G. T., Surgenor, S. D., and Whalen, K., A graphical object display improves anesthesiologists’ performance on a simulated diagnostic task. J. Clin. Monit. Comput. 15(1):37–44, 1999.CrossRefPubMed

15.

Liu, Y., and Osvalder, A.-L., Usability evaluation of a GUI prototype for a ventilator machine. J. Clin. Monit. Comput. 18(5–6):365–372, 2004.CrossRefPubMed

16.

Politser, P., How to make laboratory information more informative. Clin. Chem. 32(8):1510–1516, 1986.PubMed

17.

Roederer, A., Soegaard, J., Lee, I., Wanderer, J., Park, S., Wandering Data: A Scalable, Durable System for Effective Visualization of Patient Health Data. In: 2014 I.E. 27th International Symposium on Computer-Based Medical Systems, IEEE, pp 547–548, 2014.

18.

Willard, K. E., Johnson, J. R., and Connelly, D. P., Radical improvements in the display of clinical microbiology results: A Web-based clinical information system. Am. J. Med. 101(5):541–549, 1996.CrossRefPubMed

19.

Duclos, C., Cartolano, G. L., Ghez, M., and Venot, A., Structured representation of the pharmacodynamics section of the summary of product characteristics for antibiotics: Application for automated extraction and visualization of their antimicrobial activity spectra. J. Am. Med. Inform. Assoc. 11(4):285–293, 2004.CrossRefPubMedPubMedCentral

20.

Daye, K., Lashman, D., Pandiani, J., Medication history display and evaluation. In: Proceedings of the Annual Symposium on Computer Application in Medical Care. American Medical Informatics Association, pp 993, 1994.

21.

Koch, S. H., Weir, C., Westenskow, D., Gondan, M., Agutter, J., Haar, M., Liu, D., Görges, M., and Staggers, N., Evaluation of the effect of information integration in displays for ICU nurses on situation awareness and task completion time: A prospective randomized controlled study. Int. J. Med. Inform. 82(8):665–675, 2013.CrossRefPubMed

22.

Michels, P., Gravenstein, D., and Westenskow, D. R., An integrated graphic data display improves detection and identification of critical events during anesthesia. J. Clin. Monit. 13(4):249–259, 1997.CrossRefPubMed

23.

Mandel, J. C., Kreda, D. A., Mandl, K. D., Kohane, I. S., Ramoni, R. B., SMART on FHIR: a standards-based, interoperable apps platform for electronic health records. J. Am. Med. Inform. Assoc.: ocv189, 2016.

Title: Clinical Data Visualization: The Current State and Future Needs
Authors: Jonathan P. Wanderer
Sara E. Nelson
Jesse M. Ehrenfeld
Shelby Monahan
Soojin Park
Publication date: 01-12-2016
Publisher: Springer US
Published in: Journal of Medical Systems / Issue 12/2016
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-016-0643-x

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Clinical Data Visualization: The Current State and Future Needs

Abstract

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

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