mlsanityData to 14 Oct 2026

PharmacyGPT: The AI Pharmacist

arXiv 2307.10432 ↗First posted 19 Jul 2023cs.CLcited by 3

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Abstract (arXiv)

In this study, we introduce PharmacyGPT, a novel framework to assess the capabilities of large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical pharmacists. Our methodology encompasses the utilization of LLMs to generate comprehensible patient clusters, formulate medication plans, and forecast patient outcomes. We conduct our investigation using real data acquired from the intensive care unit (ICU) at the University of North Carolina Chapel Hill (UNC) Hospital. Our analysis offers valuable insights into the potential applications and limitations of LLMs in the field of clinical pharmacy, with implications for both patient care and the development of future AI-driven healthcare solutions. By evaluating the performance of PharmacyGPT, we aim to contribute to the ongoing discourse surrounding the integration of artificial intelligence in healthcare settings, ultimately promoting the responsible and efficacious use of such technologies.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 34 of its 78 references that are in the map. First posted on arXiv 19 Jul 2023.

Builds on

34 of 78 references.

References · 34

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22 more
  1. 2022Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanationscited by 159
  2. 2023DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4cited by 130
  3. 2023Review of Large Vision Models and Visual Prompt Engineeringcited by 77
  4. 2023The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challengescited by 59
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  8. 2023Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physicscited by 49
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  15. 2023ChatABL: Abductive Learning via Natural Language Interaction with ChatGPTcited by 26
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  17. 2023Segment Anything Model (SAM) for Radiation Oncologycited by 24
  18. 2022Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Trainingcited by 20
  19. 2023Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Datacited by 13
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  22. 2023Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classificationcited by 5

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Cited by year

Citing papers per year: 2023: 2; 2024: 1.

3 papers.

  1. 2023Holistic Evaluation of GPT-4V for Biomedical Imagingcited by 19
  2. 2024Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarioscited by 10
  3. 2023GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Sciencecited by 5