CareView: analyzing nursing narratives for temporal trends

  • Authors:
  • Lena Mamykina;Stuart Goose;David Hedqvist;David V. Beard

  • Affiliations:
  • Siemens Corporate Research, Inc., Princeton, NJ;Siemens Corporate Research, Inc., Princeton, NJ;Siemens Corporate Research, Inc., Princeton, NJ;Idaho State University, Pocatello, ID

  • Venue:
  • CHI '04 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2004

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Abstract

In a study of home-healthcare practitioners, we found that temporal trends contained in patients' clinical records form one of the most critical pieces of information when selecting and administering appropriate treatment. However, these records are comprised of quantitative and qualitative data, and recorded as a narrative. This format makes the extraction of historical trends difficult and time-consuming. To address this limitation, we introduce CareView, a system that utilizes a set of visualization techniques to increase the visibility of temporal trends in clinical narratives. Specifically, our system focuses on integrated temporal visualizations of numeric and qualitative records; a visualization to facilitate rapid comparison of a patient's condition against previously established care goals; and the ability to immediately visualize data as it is entered. Two experiments comparing the market-leading tabular interface with CareView revealed a significant reduction in the time required to identify trends in patients' conditions. However, interviews with nurses highlighted the importance of preserving the integrity of the holistic narrative and suggested extending the design space.