AI in Healthcare: ChatGPT's Significance in Transforming Patient-Physician Communication and Clinical Assistance

Authors

  • Nizamullah FNU Washington University of Science and Technology
  • Shah Zeb Washington University of Science and Technology
  • Nasrullah Abbasi Washington University of Science and Technology
  • Muhammad Umer Qayyum Washington University of Science and Technology
  • Muhammad Fahad Washington University of Science and Technology

DOI:

https://doi.org/10.46799/ajesh.v3i9.434

Keywords:

ChatGPT, Artificial Intelligence, Clinical Support, Patient-Doctor Communication, Remote Consultation, Data Security

Abstract

Artificial intelligence (AI) is bringing revolutionary changes in healthcare, especially in improving communication between patients and doctors and supporting clinical decisions. The background of this study is the increasing complexity of modern healthcare which requires more efficient tools in managing communication and decision-making. The purpose of this study was to evaluate the effectiveness of ChatGPT in improving patient-physician communication, supporting clinical decisions, and increasing patient engagement. The methods used included a combination of qualitative data collection through interviews with healthcare professionals and quantitative data analysis from electronic medical records to evaluate the impact of ChatGPT. The results showed that ChatGPT significantly improved patient-physician communication, provided evidence-based recommendations, and automated repetitive tasks, ultimately improving patient satisfaction and care outcomes. The implications of this study suggest that AI integrations such as ChatGPT can reduce the administrative burden on healthcare workers and enable more efficient and personalized care delivery. Ethical and technical challenges related to data privacy and bias in AI systems remain a concern going forward.        

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Published

2024-09-23

Issue

Vol. 3 No. 9 (2024): Asian Journal of Engineering, Social and Health

Section

Articles

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Copyright (c) 2024 Asian Journal of Engineering, Social and Health

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