Patient information organization in the intensive care setting: expert knowledge elicitation with card sorting methods

Author:

Reese Thomas1ORCID,Segall Noa2,Nesbitt Paige3,Del Fiol Guilherme1ORCID,Waller Rosalie1,Macpherson Brekk C4,Tonna Joseph E5,Wright Melanie C3

Affiliation:

1. Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA

2. Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA

3. Trinity Health and Saint Alphonsus Regional Medical Center, Boise, ID, USA

4. School of Nursing, Virginia Commonwealth University, Richmond, VA, USA

5. Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA

Abstract

Abstract Introduction Many electronic health records fail to support information uptake because they impose low-level information organization tasks on users. Clinical concept-oriented views have shown information processing improvements, but the specifics of this organization for critical care are unclear. Objective To determine high-level cognitive processes and patient information organization schema in critical care. Methods We conducted an open card sort of 29 patient data elements and a modified Delphi card sort of 65 patient data elements. Study participants were 39 clinicians with varied critical care training and experience. We analyzed the open sort with a hierarchical cluster analysis (HCA) and factor analysis (FA). The Delphi sort was split into three initiating groups that resulted in three unique solutions. We compared results between open sort analyses (HCA and FA), between card sorting exercises (open and Delphi), and across the Delphi solutions. Results Between the HCA and FA, we observed common constructs including cardiovascular and hemodynamics, infectious disease, medications, neurology, patient overview, respiratory, and vital signs. The more comprehensive Delphi sort solutions also included gastrointestinal, renal, and imaging constructs. Conclusions We identified primarily system-based groupings (e.g., cardiovascular, respiratory). Source-based (e.g., medications, laboratory) groups became apparent when participants were asked to sort a longer list of concepts. These results suggest a hybrid approach to information organization, which may combine systems, source, or problem-based groupings, best supports clinicians’ mental models. These results can contribute to the design of information displays to better support clinicians’ access and interpretation of information for critical care decisions.

Funder

National Library of Medicine

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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