Exploring potential drug-drug interactions in discharge prescriptions: ChatGPT's effectiveness in assessing those interactions

pDDIs are prevalent in internal medicine discharge prescriptions, with polypharmacy heightening the risk. While ChatGPT 4.0 accurately identifies pDDI occurrence, its limitations in predicting severity, onset, and documentation underscore healthcare professionals' need for careful oversight.

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Publication Details

Journal
Exploratory Research in Clinical and Social Pharmacy
Published
2025-01-16
DOI
https://doi.org/10.1016/j.rcsop.2025.100564
Citations
11
Primary Topic
Pharmaceutical Practices and Patient Outcomes
Type
article
Field-Weighted Citation Impact
13.46
Controls
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article

Exploring potential drug-drug interactions in discharge prescriptions: ChatGPT's effectiveness in assessing those interactions

Subash Karki, Sabin Shrestha, Rahi Bikram Thapa
11 citations
Exploratory Research in Clinical and Social Pharmacy
Pharmaceutical Practices and Patient Outcomes
13.46
article

Exploring potential drug-drug interactions in discharge prescriptions: ChatGPT's effectiveness in assessing those interactions

Subash Karki, Sabin Shrestha, Rahi Bikram Thapa
article en
11 citations

Abstract

pDDIs are prevalent in internal medicine discharge prescriptions, with polypharmacy heightening the risk. While ChatGPT 4.0 accurately identifies pDDI occurrence, its limitations in predicting severity, onset, and documentation underscore healthcare professionals' need for careful oversight.

Exploratory Research in Clinical and Social PharmacyVol. 17
Purbanchal University (NP), Manmohan Memorial Institute of Health Sciences (NP)
Openalex Percentile: Top 1%
Pharmaceutical Practices and Patient Outcomes
13.46
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