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Development and implementation of a clinical decision support system tool for the evaluation of suspected monkeypox infection.
Albin, John S; Lazarus, Jacob E; Hysell, Kristen M; Rubins, David M; Germaine, Lindsay; Dugdale, Caitlin M; Heller, Howard M; Hohmann, Elizabeth L; Baugh, Joshua J; Shenoy, Erica S.
Affiliation
  • Albin JS; Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Lazarus JE; Harvard Medical School, Boston, Massachusetts, USA.
  • Hysell KM; Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Rubins DM; Harvard Medical School, Boston, Massachusetts, USA.
  • Germaine L; Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Dugdale CM; Harvard Medical School, Boston, Massachusetts, USA.
  • Heller HM; Harvard Medical School, Boston, Massachusetts, USA.
  • Hohmann EL; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Baugh JJ; Digital eCare, Mass General Brigham, Boston, Massachusetts, USA.
  • Shenoy ES; Digital eCare, Mass General Brigham, Boston, Massachusetts, USA.
J Am Med Inform Assoc ; 29(12): 2124-2127, 2022 11 14.
Article in En | MEDLINE | ID: mdl-36036367
ABSTRACT
Monkeypox virus was historically rare outside of West and Central Africa until the current 2022 global outbreak, which has required clinicians to be alert to identify individuals with possible monkeypox, institute isolation, and take appropriate next steps in evaluation and management. Clinical decision support systems (CDSS), which have been shown to improve adherence to clinical guidelines, can support frontline clinicians in applying the most current evaluation and management guidance in the setting of an emerging infectious disease outbreak when those guidelines are evolving over time. Here, we describe the rapid development and implementation of a CDSS tool embedded in the electronic health record to guide frontline clinicians in the diagnostic evaluation of monkeypox infection and triage patients with potential monkeypox infection to individualized infectious disease physician review. We also present data on the initial performance of this tool in a large integrated healthcare system.
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Full text: 1 Database: MEDLINE Main subject: Physicians / Decision Support Systems, Clinical / Mpox (monkeypox) Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: J Am Med Inform Assoc Journal subject: INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Physicians / Decision Support Systems, Clinical / Mpox (monkeypox) Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: J Am Med Inform Assoc Journal subject: INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: United States