Building a People-Centric RWD Platform using Microsoft Fabric and Taiwan's Regional Data Center

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Taisengke (Taiwan Biomedical Big Data Technology Co., Ltd.) held a forum with Microsoft Taiwan and Asus Computer, collaborating with institutions such as the National Research Institute of Health. They announced the development of a 'people-centric' RWD platform, centered on the Microsoft Fabric cloud analytics platform. This initiative combines Microsoft’s local data center for compliance in Taiwan with the international healthcare interoperability standard FHIR (Fast Healthcare Interoperability Resources). The goal is to integrate fragmented clinical and medical records across all of Taiwan, accelerating clinical research innovation and precision health development. The platform aims to establish standardized RWD processes through a Public-Private Partnership (PPP) model, connecting with global ecosystems. Microsoft Fabric provides a complete workflow from data collection and processing to visualization, speeding up the integration of AI, predictive AI, and generative AI into clinical decision systems. By adopting the FHIR standard, hospitals can standardize and unify disparate data, aligning with Taiwan's Ministry of Health and Welfare SMART on FHIR policy. Crucially, all patient data is stored within Taiwan (local compliance), ensuring adherence to local regulations. Azure’s zero-trust security model guarantees a highly compliant and sovereign cloud environment. This RWD platform supports key policies like the NHI's push for 'tiered care' and 'person-based payment,' addressing issues such as redundant examinations due to cross-hospital system failures. The collaboration represents a significant milestone in Taiwan's digital healthcare transformation, establishing a foundation for precision health through public-private-academic research cooperation.