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ChatGPT's Potential in Enhancing Physician Efficiency: A Japanese Case Study

Yudai Kaneda, Morihito Takita, Tamae Hamaki, Akihiko Ozaki, Tetsuya Tanimoto

2023Cureus16 citationsDOIOpen Access PDF

Abstract

Artificial intelligence (AI), particularly ChatGPT, developed by OpenAI (San Francisco, CA, USA), is making significant strides in the medical field. In a simulated case study, a 66-year-old Japanese female patient's dialogue with a physician was transcribed and inputted into ChatGPT to assess its efficacy in drafting medical records, formulating differential diagnoses, and establishing treatment plans. The results showed a high similarity between the medical summaries generated by ChatGPT and those of the attending physician. This suggests that ChatGPT has the potential to assist physicians in clinical reasoning and reduce the administrative burden, allowing them to spend more time with patients. However, there are limitations, such as the system's reliance on linguistic data and occasional inaccuracies. Despite its potential, the ethical implications of using patient data and the risk of AI replacing clinicians emphasize the need for continuous evaluation, rigorous oversight, and the establishment of comprehensive guidelines. As AI continues to integrate into healthcare, it is crucial for physicians to ensure that technology complements, rather than replaces, human expertise, with the primary focus remaining on delivering high-quality patient care.

Topics & Concepts

MedicineMedical diagnosisQuality (philosophy)Patient careSimilarity (geometry)Health careMedical recordPrimary careMedical educationFamily medicineNursingArtificial intelligencePathologyImage (mathematics)EconomicsEpistemologyComputer scienceEconomic growthRadiologyPhilosophyArtificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic SkillsEthics in Clinical Research