The Tokai National Higher Education and Research System, which runs Nagoya University and Gifu University, partnered with Fujitsu Limited. They finished a demo experiment to enhance how clinical trial candidates are chosen. This used generative AI and medical data. This initiative tackles drug waste in Japan. It has shown good results in supporting clinical research.
The experiment used medical records from about 1,800 people at Nagoya University Hospital and Gifu University Hospital. Using generative AI, we turned unstructured medical data, like physician notes, into structured formats. This process achieved about 90% accuracy. We used this structured data to review three past clinical trials and select participants. Out of 42 candidates found using the AI process, 27 were confirmed as eligible participants.
Traditionally, physicians have to review each patient’s record by hand to check if they qualify for clinical trials. This process takes a lot of time because of the large amount of unstructured data. The demo showed that AI integration could cut this time by about a third. This means quicker decisions for medical professionals and better access for patients to suitable clinical trials.
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The Tokai National Higher Education and Research System and Fujitsu plan to expand this initiative. They will include more diseases and facilities. They aim to improve accuracy and promote wider use in real-world clinical trials. They also want to use these results with Paradigm Health, Inc. This company is a top global clinical trial platform. Together, they aim to create a new medical data-driven ecosystem. This ecosystem will unite medical institutions, pharmaceutical companies, and other groups. Together, they will work to cut drug waste and improve the clinical trial process.
