Prescribing Caution: A Critique of OpenEvidence to Answer Medication‐Related Questions
Abstract
OpenEvidence is a newer medical large language model (LLM) that is growing in use among health professionals and students for clinical care and research. This paper provides an overview of existing literature on the accuracy of using OpenEvidence to answer clinical questions. Given the limited research exploring OpenEvidence's answers to clinical or medication-related questions from a pharmacist's perspective, this paper presents two illustrative examples that highlight inaccuracies of OpenEvidence's responses and source summarization errors related to pharmacotherapeutic content. The authors also offer suggestions for the responsible use of this tool, acknowledging that its adoption by pharmacists and health care professionals is likely to expand.
Fields of Study & Subjects
Topic Modeling
Text Readability and Simplification
Meta-analysis and systematic reviews
Publication details
- Journal / source
- JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY
- Publisher
- Wiley
- Volume
- 9
- Issue
- 7
- Pages
- e70237–e70237
- Publication date
- 12 June 2026
- Language
- EN