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Patient information organization in the intensive care setting: expert knowledge elicitation with card sorting methods.
Reese, Thomas; Segall, Noa; Nesbitt, Paige; Del Fiol, Guilherme; Waller, Rosalie; Macpherson, Brekk C; Tonna, Joseph E; Wright, Melanie C.
Afiliación
  • Reese T; Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
  • Segall N; Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA.
  • Nesbitt P; Trinity Health and Saint Alphonsus Regional Medical Center, Boise, ID, USA.
  • Del Fiol G; Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
  • Waller R; Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
  • Macpherson BC; School of Nursing, Virginia Commonwealth University, Richmond, VA, USA.
  • Tonna JE; Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA.
  • Wright MC; Trinity Health and Saint Alphonsus Regional Medical Center, Boise, ID, USA.
J Am Med Inform Assoc ; 25(8): 1026-1035, 2018 08 01.
Article en En | MEDLINE | ID: mdl-30060091
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Presentación de Datos / Cuidados Críticos / Registros Electrónicos de Salud / Pruebas Neuropsicológicas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Presentación de Datos / Cuidados Críticos / Registros Electrónicos de Salud / Pruebas Neuropsicológicas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos