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Problem management module: an innovative system to improve problem list workflow.
Hodge, Chad M; Kuttler, Kathryn G; Bowes, Watson A; Narus, Scott P.
Afiliación
  • Hodge CM; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT ; Intermountain Healthcare, Salt Lake City, UT.
  • Kuttler KG; Intermountain Healthcare, Salt Lake City, UT.
  • Bowes WA; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT ; Intermountain Healthcare, Salt Lake City, UT.
  • Narus SP; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT ; Intermountain Healthcare, Salt Lake City, UT.
AMIA Annu Symp Proc ; 2014: 661-70, 2014.
Article en En | MEDLINE | ID: mdl-25954372
ABSTRACT
Electronic problem lists are essential to modern health record systems, with a primary goal to serve as the repository of a patient's current health issues. Additionally, coded problems can be used to drive downstream activities such as decision support, evidence-based medicine, billing, and cohort generation for research. Meaningful Use also requires use of a coded problem list. Over the course of three years, Intermountain Healthcare developed a problem management module (PMM) that provided innovative functionality to improve clinical workflow and boost problem list adoption, e.g. smart search, user customizable views, problem evolution, and problem timelines. In 23 months of clinical use, clinicians entered over 70,000 health issues, the percentage of free-text items dropped to 1.2%, completeness of problem list items increased by 14%, and more collaborative habits were initiated.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Registros Médicos Orientados a Problemas / Interfaz Usuario-Computador / Flujo de Trabajo Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Año: 2014 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Registros Médicos Orientados a Problemas / Interfaz Usuario-Computador / Flujo de Trabajo Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Año: 2014 Tipo del documento: Article