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

Digital Health, Telehealth and e-Innovation in Clinical Settings (340) Adoption and Change Management of eHealth Systems (670) mHealth in a Clinical Setting (579) Usability Evaluation Case Studies (182) Medication Reconciliation (9)

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

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

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

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

Authors of this article:

Ju Long1 Author Orcid Image ;   Michael Juntao Yuan2 Author Orcid Image ;   Robina Poonawala3 Author Orcid Image
Article Authors Cited by (13) Tweetations (4) Metrics

Journals

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  2. Rozenblum R, Rodriguez-Monguio R, Volk L, Forsythe K, Myers S, McGurrin M, Williams D, Bates D, 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 View
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  6. DeAntonio J, Leichtle S, Hobgood S, Boomer L, Aboutanos M, Mangino M, Wijesinghe D, Jayaraman S. Medication Reconciliation and Patient Safety in Trauma: Applicability of Existing Strategies. Journal of Surgical Research 2020;246:482 View
  7. Gordo C, Núñez‐Córdoba J, Mateo R. Root causes of adverse drug events in hospitals and artificial intelligence capabilities for prevention. Journal of Advanced Nursing 2021;77(7):3168 View
  8. Zhang Z, Citardi D, Wang D, Genc Y, Shan J, Fan X. Patients’ perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data. Health Informatics Journal 2021;27(2):146045822110112 View
  9. Zhang Z, Genc Y, Wang D, Ahsen M, Fan X. Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems. Journal of Medical Systems 2021;45(6) View
  10. Babel A, Taneja R, Mondello Malvestiti F, Monaco A, Donde S. Artificial Intelligence Solutions to Increase Medication Adherence in Patients With Non-communicable Diseases. Frontiers in Digital Health 2021;3 View
  11. Hermann M, Holt M, Kjome R, Teigen A. Medication reconciliation—is it possible to speed up without compromising quality? A before–after study in the emergency department. European Journal of Hospital Pharmacy 2023;30(6):310 View
  12. Tulk Jesso S, Kelliher A, Sanghavi H, Martin T, Henrickson Parker S. Inclusion of Clinicians in the Development and Evaluation of Clinical Artificial Intelligence Tools: A Systematic Literature Review. Frontiers in Psychology 2022;13 View
  13. Wong A, Wentz E, Palisano N, Dirani M, Elsamadisi P, Qashou F, Celi L, Badawi O, Nazer L. Role of artificial intelligence in pharmacy practice: A narrative review. JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2023;6(11):1237 View