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Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review.

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Title: Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review.
Authors: Syrowatka A; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA. Electronic address: asyrowatka@bwh.harvard.edu., Song W; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA., Amato MG; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA; Massachusetts College of Pharmacy and Health Sciences, Boston, MA, USA., Foer D; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Allergy and Clinical Immunology, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA., Edrees H; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA; Massachusetts College of Pharmacy and Health Sciences, Boston, MA, USA., Co Z; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA., Kuznetsova M; Harvard Business School, Boston, MA, USA., Dulgarian S; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA., Seger DL; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA., Simona A; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA., Bain PA; Countway Library of Medicine, Harvard Medical School, Boston, MA, USA., Purcell Jackson G; IBM Watson Health, Cambridge, MA, USA; Department of Pediatric Surgery, Vanderbilt University Medical Center, Nashville, TN, USA., Rhee K; IBM Watson Health, Cambridge, MA, USA; CVS Health, Wellesley Hills, MA, USA., Bates DW; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Harvard T H Chan School of Public Health, Boston, MA, USA.
Source: The Lancet. Digital health [Lancet Digit Health] 2022 Feb; Vol. 4 (2), pp. e137-e148. Date of Electronic Publication: 2021 Nov 23.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Scoping Review
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="JN" term="%22101751302%22">The Lancet. Digital health</searchLink> [Lancet Digit Health] 2022 Feb; Vol. 4 (2), pp. e137-e148. <i>Date of Electronic Publication: </i>2021 Nov 23.
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              Text: 2022 Feb
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