Kansai University and IBM Launch 'Medical AI Common ICT Platform' to Advance DX with Generative AI
生成AIで看護・退院サマリーを5分化 全国展開視野の「医療AI共通ICTプラットフォーム」始動
Summary
Kansai University Hospital and Japan IBM announced the joint development of a 'Medical AI Common ICT Platform' for three affiliated hospitals. They launched an application using generative AI to assist in summary creation, reducing nursing summary preparation time from approximately 30 minutes to 5 minutes.
Details
Kansai University and Japan IBM developed a clinical support AI platform designed for common use across three affiliated hospitals (including Kansai University Hospital). A key feature is that this centralized platform eliminates the need for each hospital to build individual systems, allowing for rapid horizontal deployment of advanced AI applications. The initial application deployed is a 'Generative AI Summary Creation Support Application' for physicians and nurses. It links with Fujitsu electronic medical records (EMR) and supports the creation of 'Nursing Summaries,' 'Discharge Summaries,' and 'Outpatient Summaries.' Notably, tasks that previously took about 30 minutes for nursing summaries can now be completed in approximately 5 minutes. From a technical standpoint, the platform's compliance with the international standard FHIR is crucial. This capability anticipates future connections with different EMR systems, regional healthcare collaboration, and clinical research utilization. Furthermore, it adopts a zero-trust authentication/authorization framework to ensure the security of sensitive medical data. This initiative represents a potential shift in Japanese medical DX from 'individual implementation' toward 'common platform utilization.' If deployed nationwide, it could achieve significant operational efficiency while controlling ICT introduction costs.
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