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Division
East Florida
Hospital
HCA Florida Aventura Hospital
Specialty
Hospice & Palliative Care
Document Type
Poster
Publication Date
2025
Keywords
polypharmacy, LLM, AI, artificial intelligence, ChatGPT, DeepSeek, palliative care
Disciplines
Palliative Care
Abstract
Background: Polypharmacy is common in older adults and increases risks of adverse drug events, falls, and hospitalizations. Deprescription can mitigate these harms but is often hindered by time constraints, fragmented guidelines, and complex comorbidities. Artificial intelligence (AI) large language models (LLMs) may provide decision-support for deprescription in geriatric and palliative care.
Objective: To compare ChatGPT and DeepSeek in their deprescription recommendations across standardized polypharmacy vignettes.
Methods: Three validated clinical vignettes, varied by activities of daily living (ADL) status and cardiovascular disease (CVD) history, were presented to ChatGPT (GPT-4/5) and DeepSeek (2024 version). Each vignette was tested in three replicates per model. Outputs were analyzed for (1) binary deprescription decisions, (2) medications targeted, and (3) replicate consistency. Results: In patients without CVD, both models consistently recommended deprescription across all ADL scenarios. In patients with CVD, ChatGPT was more variable (e.g., deprescription rates ranged from 0–67% across replicates), whereas DeepSeek consistently recommended deprescription in 100% of scenarios. Both models most often targeted gastrointestinal and pain medications. ChatGPT demonstrated high replicate stability in the no-CVD scenarios, while DeepSeek showed complete stability across all scenarios.
Conclusion: Both ChatGPT and DeepSeek show promise as adjuncts for deprescription decision-support in geriatrics. DeepSeek demonstrated greater conservatism in CVD cases but higher internal consistency, whereas ChatGPT was more aggressive but variable. LLMs may augment deprescription reviews but require expert oversight and validation against established frameworks.
Original Publisher
HCA Healthcare Graduate Medical Education
Recommended Citation
Demir, Gokhan; Sanchez, Angel; and Kashan, Sanaz, "Comparing ChatGPT and DeepSeek for Deprescription Support in Geriatric and Palliative Care: An Exploratory Study Using Clinical Vignettes" (2025). East Florida Division GME Research Day 2025. 40.
https://scholarlycommons.hcahealthcare.com/eastflorida2025/40