Decision-Centered Design of Patient Information Visualizations to Support Chronic Pain Care

Christopher A. Harle, Julie Diiulio, Sarah M. Downs, Elizabeth C. Danielson, Shilo Anders, Robert L. Cook, Robert W. Hurley, Burke W. Mamlin, Laura G. Militello

Research output: Contribution to journalArticle

Abstract

Background ?For complex patients with chronic conditions, electronic health records (EHRs) contain large amounts of relevant historical patient data. To use this information effectively, clinicians may benefit from visual information displays that organize and help them make sense of information on past and current treatments, outcomes, and new treatment options. Unfortunately, few clinical decision support tools are designed to support clinical sensemaking. Objective ?The objective of this study was to describe a decision-centered design process, and resultant interactive patient information displays, to support key clinical decision requirements in chronic noncancer pain care. Methods ?To identify key clinical decision requirements, we conducted critical decision method interviews with 10 adult primary care clinicians. Next, to identify key information needs and decision support design seeds, we conducted a half-day multidisciplinary design workshop. Finally, we designed an interactive prototype to support the key clinical decision requirements and information needs uncovered during the previous research activities. Results ?The resulting Chronic Pain Treatment Tracker prototype summarizes the current treatment plan, past treatment history, potential future treatments, and treatment options to be cautious about. Clinicians can access additional details about each treatment, current or past, through modal views. Additional decision support for potential future treatments and treatments to be cautious about is also provided through modal views. Conclusion ?This study designed the Chronic Pain Treatment Tracker, a novel approach to decision support that presents clinicians with the information they need in a structure that promotes quick uptake, understanding, and action.

Original languageEnglish (US)
Pages (from-to)719-728
Number of pages10
JournalApplied Clinical Informatics
Volume1
Issue number4
DOIs
StatePublished - Jan 1 2019

Fingerprint

Chronic Pain
Visualization
Display devices
Clinical Decision Support Systems
Information use
Seed
Data Display
Therapeutics
Health
Electronic Health Records
Primary Health Care
Seeds
History
Interviews
Education
Research

Keywords

  • ambulatory care/primary care
  • clinical decision support
  • cognition
  • data visualization
  • electronic health records and systems

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Health Information Management

Cite this

Harle, C. A., Diiulio, J., Downs, S. M., Danielson, E. C., Anders, S., Cook, R. L., ... Militello, L. G. (2019). Decision-Centered Design of Patient Information Visualizations to Support Chronic Pain Care. Applied Clinical Informatics, 1(4), 719-728. https://doi.org/10.1055/s-0039-1696668

Decision-Centered Design of Patient Information Visualizations to Support Chronic Pain Care. / Harle, Christopher A.; Diiulio, Julie; Downs, Sarah M.; Danielson, Elizabeth C.; Anders, Shilo; Cook, Robert L.; Hurley, Robert W.; Mamlin, Burke W.; Militello, Laura G.

In: Applied Clinical Informatics, Vol. 1, No. 4, 01.01.2019, p. 719-728.

Research output: Contribution to journalArticle

Harle, CA, Diiulio, J, Downs, SM, Danielson, EC, Anders, S, Cook, RL, Hurley, RW, Mamlin, BW & Militello, LG 2019, 'Decision-Centered Design of Patient Information Visualizations to Support Chronic Pain Care', Applied Clinical Informatics, vol. 1, no. 4, pp. 719-728. https://doi.org/10.1055/s-0039-1696668
Harle, Christopher A. ; Diiulio, Julie ; Downs, Sarah M. ; Danielson, Elizabeth C. ; Anders, Shilo ; Cook, Robert L. ; Hurley, Robert W. ; Mamlin, Burke W. ; Militello, Laura G. / Decision-Centered Design of Patient Information Visualizations to Support Chronic Pain Care. In: Applied Clinical Informatics. 2019 ; Vol. 1, No. 4. pp. 719-728.
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