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Fujitsu Limited and Tokai National Higher Education and Research System (THERS) have announced the successful completion of field trials using generative AI to process clinical data for use in the selection of clinical trial participants. The effort aims to address the issue ‘drug loss’ in Japan, i.e., a lack of availability of drugs used overseas due to stringent local approval requirements.
In a clinical setting patient data can be broadly seperated into structured data, i.e., organized and quantifiable data such as vital signs and lab results, and unstructured data, i.e., data that lacks a predefined format such as doctors’ notes. Structuring unstructured clinical data has traditionally been a time-consuming manual process. These field trials used data from approximately 1,800 patient records of breast surgery procedures obtained from Nagoya University and Gifu University. Unstructured data was successfully structured at approximately 90% accuracy.
Fujitsu and THERS will further link the results of these field trials with Paradigm Health, Inc.’s state-of-the-art clinical trial platform to accelerate the use of real-world data (RWD). This will enable collaboration with medical institutions and pharmaceutical companies to enhance the planning and overall execution of clinical trials, and help mitigate drug loss in Japan.
THERS aims to actively attract international joint clinical trials to the Japanese Tokai region and improve patients medical care by increasing operational efficiency and utilizing a clinical research environment for handling high-quality clinical data.
On May 30, based on the results of these field trials, Fujitsu will expand its Healthy Living Platform and launch a function to promote the structuring and utilization of medical data using its AI service Fujitsu Kozuchi. This function will also be linked with the enterprise large language model (LLM) Takane in the future to support the advancement of data analysis in clinical research and the efficiency of patient selection.
