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Citing this Article

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Published on 16.05.16 in Vol 5, No 2 (2016): Apr-Jun

This paper is in the following e-collection/theme issue:

Works citing "An Observational Study to Evaluate the Usability and Intent to Adopt an Artificial Intelligence–Powered Medication Reconciliation Tool"

According to Crossref, the following articles are citing this article (DOI 10.2196/ijmr.5462):

(note that this is only a small subset of citations)

  1. Rozenblum R, Rodriguez-Monguio R, Volk LA, Forsythe KJ, Myers S, McGurrin M, Williams DH, Bates DW, Schiff G, Seoane-Vazquez E. Using a Machine Learning System to Identify and Prevent Medication Prescribing Errors: A Clinical and Cost Analysis Evaluation. The Joint Commission Journal on Quality and Patient Safety 2020;46(1):3
  2. DeAntonio JH, Leichtle SW, Hobgood S, Boomer L, Aboutanos M, Mangino MJ, Wijesinghe DS, Jayaraman S. Medication Reconciliation and Patient Safety in Trauma: Applicability of Existing Strategies. Journal of Surgical Research 2020;246:482
  3. Liu Y, Chu L, Su H, Tsai K, Kao P, Chen J, Hsieh H, Lin H, Hsu C, Huang C. Impact of Computer‐Based and Pharmacist‐Assisted Medication Review Initiated in the Emergency Department. Journal of the American Geriatrics Society 2019;67(11):2298
  4. Marien S, Legrand D, Ramdoyal R, Nsenga J, Ospina G, Ramon V, Boland B, Spinewine A. A web application to involve patients in the medication reconciliation process: a user-centered usability and usefulness study. Journal of the American Medical Informatics Association 2018;25(11):1488