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Letting Data Speak! How a Doctor's 'Digital Guardian' Prevents Medical Risks?

讓數據說話!醫師的「數位保鑣」如何幫你攔截醫療風險? - CIO Taiwan

June 1, 2026CIO Taiwan

Summary

Addressing the issues of scattered information and cognitive load in electronic medical records, experts developed a 'Patient Journey Smart Platform.' This system enhances medical safety by integrating all data onto a timeline and providing AI-driven insights and real-time drug interaction warnings.

Details

The challenge faced by physicians in clinics or emergency rooms is not a lack of data, but the high 'cognitive load' caused by patient records being scattered across multiple sources (by department or single document), forcing doctors to manually reconstruct the patient's medical history timeline. To solve this, the 'Patient Journey Smart Platform' was developed. The core concept is integrating all patient data—including vital signs, test reports, images, and medication records—onto a continuous and intuitive timeline. Technically, it utilizes FHIR TW Core, an international standard that establishes a 'common language' allowing safe exchange of medical record data between different hospitals and manufacturers. Furthermore, by adopting SMART on FHIR, it achieves a 'plug-and-play' capability, enabling physicians to access necessary information within their existing workflows without switching screens or logging in again. This platform goes beyond mere data display. It provides 'insight services' using AI, such as automatically overlaying medication usage periods with the patient's blood sugar trend when a drug is prescribed. Crucially, by adopting an event-driven architecture, it acts as a 'proactive safety guardian.' It monitors physician actions and patient data in real time, immediately issuing warnings for severe drug interactions (e.g., Warfarin and Aspirin) or abnormal vital signs, intervening before errors occur. Additionally, the system incorporates AI voice functionality to reduce the effort of entering medical orders in settings like emergency rooms. By understanding spoken language and automatically generating drafts compliant with international standards, it aims to significantly improve clinical efficiency. Ultimately, it seeks to transform fragmented information into a coherent narrative for patient care.

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