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COVID-19 Guidelines Changing Faster than the Virus: Implications of a Clinical Decision Support App.
Saperstein, Yair; Ong, Shawn Y; Al-Bermani, Tarik; Park, Joongheum; Saperstein, Yiela; Olayinka, Jadesola; Jaiman, Anjali; Winer, Andrew; Salifu, Moro O; McFarlane, Samy I.
  • Saperstein Y; Department of Medicine SUNY-Downstate-Health Science University, Brooklyn, New York, United States.
  • Ong SY; Emergency Medicine, Yale University, New Haven, United States.
  • Al-Bermani T; Department of Medicine SUNY-Downstate-Health Science University, Brooklyn, New York, United States.
  • Park J; Beth Israel Deaconess Medical Center, Harvard University, Cambridge, United States.
  • Saperstein Y; Department of Biomedical Engineering, Columbia University, New York, United States.
  • Olayinka J; Department of Medicine SUNY-Downstate-Health Science University, Brooklyn, New York, United States.
  • Jaiman A; Department of Medicine SUNY-Downstate-Health Science University, Brooklyn, New York, United States.
  • Winer A; Kings County Hospital Center, Brooklyn, New York, United States.
  • Salifu MO; Department of Medicine SUNY-Downstate-Health Science University, Brooklyn, New York, United States.
  • McFarlane SI; Department of Medicine SUNY-Downstate-Health Science University, Brooklyn, New York, United States.
Int J Clin Res Trials ; 5(2)2020.
Article in English | MEDLINE | ID: covidwho-729794
ABSTRACT
Novel coronavirus disease (COVID-19) is a pandemic affecting over 10 million people in 160 countries. Its spread, and the medical communities' response, cast light on an important deficiency in the speed and effectiveness for evidence-based recommendations to reach the bedside in academic medical practice. We built a clinical decision support tool on the avoMD platform that systematizes and personalizes the treatment of COVID-19 by bringing point-of-care access to the guidelines specific to individual cases to the clinician's hands. This app has the potential to improve the mortality for COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2020 Document Type: Article Affiliation country: 2456-8007

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2020 Document Type: Article Affiliation country: 2456-8007