Clinical decision support system, using expert consensus-derived logic and natural language processing, decreased sedation-type order errors for patients undergoing endoscopy.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Jan 15, 2021

Abstract

OBJECTIVE: Determination of appropriate endoscopy sedation strategy is an important preprocedural consideration. To address manual workflow gaps that lead to sedation-type order errors at our institution, we designed and implemented a clinical decision support system (CDSS) to review orders for patients undergoing outpatient endoscopy.

Authors

  • Lin Shen
    Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
  • Adam Wright
    Harvard Medical School, Boston, MA; Brigham and Women's Hospital, Boston, MA.
  • Linda S Lee
    Division of Gastroenterology, Hepatology, and Endoscopy, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Kunal Jajoo
    Division of Gastroenterology, Hepatology, and Endoscopy, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Jennifer Nayor
    Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA. jnayor@bwh.harvard.edu.
  • Adam Landman
    Harvard Medical School, Boston, Massachusetts, USA.

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