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

Formative Evaluation of Digital Health Interventions (2415) Artificial Intelligence (1371) Development and Evaluation of Research Methods, Instruments and Tools (482) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1186) Safety and Error Prevention in Health (203) ePrescribing and Innovations in Pharmacies (54) Pharmacovigilance (134)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51921, first published .
Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists

Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists

Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists

Authors of this article:

Yifan Zheng1 Author Orcid Image ;   Brigid Rowell1 Author Orcid Image ;   Qiyuan Chen2 Author Orcid Image ;   Jin Yong Kim2 Author Orcid Image ;   Raed Al Kontar2 Author Orcid Image ;   X Jessie Yang2 Author Orcid Image ;   Corey A Lester1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Zhang T, Yang X, Li B. May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability. International Journal of Human–Computer Interaction 2024:1 View