Potential of Artificial Intelligence in Addressing Japan’s Clinical Research Disconnection

TL;DR

This paper explores how AI can help bridge the gap between clinical work and research in Japanese hospitals by reducing administrative burdens.

Contribution

The novelty lies in proposing AI tools like ChatGPT to address Japan's clinical research disconnection and the need for ethical AI guidelines in healthcare.

Findings

Half of assistant professors in Japanese university hospitals spend five hours or less per week on research.

15% of assistant professors do not engage in research at all.

AI integration could streamline administrative tasks and improve research productivity.

Abstract

In February 2023, a report from the Japanese Ministry of Education, Culture, Sports, Science and Technology highlighted that half of the assistant professors at university hospitals spend five hours or less per week on research, with 15% not engaging in research at all. This disconnect between clinical practice and research may be exacerbated by work-style reforms predicting difficulties in allocating time for student guidance and dedicated research at Japanese university hospitals. This study proposes the integration of artificial intelligence (AI) tools, such as ChatGPT, to streamline administrative duties and enhance research productivity, suggesting a need for immediate development of ethical guidelines for AI use in healthcare to improve efficiency and patient care quality.