日本語 
Fujitsu Japan and JMDC announced that they officially began a collaboration on January 5, 2026. The purpose is to improve how healthcare is delivered in Japan and to help build a medical system that can keep working over the long term, even as pressure on hospitals continues to grow.
The partnership brings together two different strengths. JMDC has long experience working with large scale anonymized medical data. Fujitsu Japan holds a strong position in the domestic electronic medical record market. By combining these, the two companies want to make medical data more useful in real hospital operations. A key goal is to support data driven management and decision making inside medical institutions, not just research or reporting.
As part of the collaboration, Fujitsu Japan will provide its Dashboard 360 solution at no cost to medical institutions that agree to share anonymized Diagnosis Procedure Combination data. Dashboard 360 is a visualization and analytics tool that covers both management data and clinical data. It sits within Fujitsu’s Healthcare Management Platform, which is part of Fujitsu Limited’s Uvance business focused on solving social issues. The idea is to help hospitals run more smoothly, especially in acute care, by improving patient flow and making management issues easier to see.
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Dashboard 360 links directly with electronic medical records. Hospitals can analyze what is happening beneath the surface. Things like changes in bed occupancy, waiting times for admission or surgery, and how outpatient care connects to inpatient treatment. Along with JMDC’s data, the system also includes benchmarking features based on data shared through this collaboration. This helps hospital managers make decisions based on current and comparable information.
On the data side, JMDC will handle anonymization of DPC data in a secure environment. The anonymized data will then be provided to pharmaceutical companies, government bodies, universities, and research organizations. JMDC will combine this with insurer data covering around 20 million people that it has built up over time. This makes it possible to see the full patient journey. From early abnormal test results before symptoms appear. Through hospitalization and treatment. And then outcomes after discharge. This supports earlier detection through screening, prevention of disease progression by identifying risk factors, and more accurate evaluation of long term treatment effects and drug safety in real world settings.
The background to this collaboration is well known. Japan’s healthcare system is under strain. The population is aging. Medical costs are rising. There are shortages of healthcare workers. Many medical institutions are under financial pressure. Using medical data more effectively is increasingly seen as one of the few realistic ways to respond. Better diagnostics. More efficient operations. Support for new treatments. Stronger coordination across regions.
Looking ahead, Fujitsu Japan and JMDC plan to widen the scope of data use. By combining Fujitsu Japan’s healthcare knowledge and technologies like AI with JMDC’s predictive models based on insurer data and its experience running Pep Up, Japan’s largest personal health record service used by more than 7.7 million people, the partnership aims to go beyond DPC data. The goal is to include a wider range of electronic medical record data, while still handling data appropriately and responsibly. This expansion is expected to further support hospital management improvements and advance research across pharmaceuticals, government, and academia.
Fujitsu Japan says it will continue pushing digital transformation in medical institutions through its Healthcare Management Platform. This includes patient flow optimization, bed management, decision support using generative AI, and improvements to everyday clinical operations. JMDC, for its part, plans to accelerate the creation of an open ecosystem for medical data use through partnerships. Its stated aim is to help build a sustainable healthcare system by applying data and ICT to real social challenges and by moving data driven healthcare from theory into practice.
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