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The quality and safety of using generative AI to produce patient-centred discharge instructions

Kristian Stanceski, Shiyin Zhong, Xumou Zhang, Sam Khadra, Marguerite Tracy, Linda Koria, Sarita Lo, Vasi Naganathan, Jinman Kim, Adam G. Dunn, Julie Ayre

2024npj Digital Medicine29 citationsDOIOpen Access PDF

Abstract

Patient-centred instructions on discharge can improve adherence and outcomes. Using GPT-3.5 to generate patient-centred discharge instructions, we evaluated responses for safety, accuracy and language simplification. When tested on 100 discharge summaries from MIMIC-IV, potentially harmful safety issues attributable to the AI tool were found in 18%, including 6% with hallucinations and 3% with new medications. AI tools can generate patient-centred discharge instructions, but careful implementation is needed to avoid harms.

Topics & Concepts

Patient safetyComputer scienceQuality (philosophy)MedicineHealth careEpistemologyEconomic growthEconomicsPhilosophyMachine Learning in HealthcareElectronic Health Records SystemsArtificial Intelligence in Healthcare and Education