STM Journals Peer-reviewed research from Consortium e-Learning Network

Research and Reviews: A Journal of Pharmacology Original Research

An Evidence Based Analytical Study on Capability of ChatGPT in Advanced AI Based Patient Drug Counseling

  1. Kaipa Sushma Department of pharmacy practice Annamacharya college of pharmacy, Rajampet
  2. Balyam Nagalakshmi Department of pharmacy practice Annamacharya college of pharmacy, Rajampet

Abstract

The application of ChatGPT in providing drug counseling to patients offers the best approach to enhancing policies of healthcare support in decision-making. Aim and Objectives: The present study mainly involves an evaluation of the capability of ChatGPT in the management of drug counseling among patients suffering from various metabolic disorders.

Methodology: The present study was a community-based interventional study conducted for a period of 12 months from October 2023 to October 2024 among 666 patients residing in the Kadapa region, Andhra Pradesh, India. All the prescriptions were analyzed in detail for implementing AI-based tools in the promotion of advanced patient drug counseling services. Statistical Analysis: Microsoft Excel was used for recording and analyzing the data of recruited subjects and calculating mean, standard deviation, etc. Prism Graph Pad software version 10 will be used for descriptive statistics, P value was calculated for the present study for statistical significance.

Conclusion: By leveraging and monitoring natural language processing, ChatGPT provides real-time assistance in the promotion of advanced drug counseling services. Furthermore, it contributes to patient education, improving understanding and medication compliance.

Keywords

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