Under the 'Healthy Taiwan' vision, Taiwan is integrating big data, AI, and cloud technologies to improve healthcare efficiency and quality. By implementing nationwide electronic health records and adopting the international standard FHIR, it is transitioning towards a person-centered, comprehensive care model.
Arvind Telharkar, a software engineer at Amazon Web Services (AWS), developed and launched a healthcare data transformation platform utilizing agentic AI. This solution converts legacy healthcare data formats (such as C-CDA) into the FHIR standard, thereby improving data accessibility and contributing to better patient care outcomes.
Startup Develo has secured $14 million in funding to revolutionize pediatric care using its proprietary, AI-powered operating system (OS). This platform integrates clinical workflows, billing, and parent engagement tools.
Meierhofer and Tiplu announced a strategic partnership at DMEA 2026. This collaboration aims to utilize clinical data and provide advanced decision support to medical staff, thereby improving hospital efficiency and care quality.
The Colombian healthcare system released the FHIR extension specification, 'Extension: GenderIdentity'. This extension is designed to be used on the Patient resource to record an individual's biological sex.
Dadang Medical Care, a subsidiary of the Dadong Group, will lead the standardization and cross-system integration of an international medical database using Fast Healthcare Interoperability Resources (FHIR). This aims to establish a foundational platform for medical data interoperability, leveraging AI technology to enter the at-home smart care market.
Docaposte, a long-established editor, launched 'Docaposte Santé' to become the primary provider of digital solutions in France's healthcare sector. The new platform adopts an open, data-centric architecture and aims for secure, structured circulation of medical data based on standards like FHIR and openEHR.
The author argues that the immense maintenance costs associated with healthcare APIs, coupled with expanding regulatory obligations for data exchange, are pushing vendors toward monetizing Robotic Process Automation (RPA) access built on top of existing user interfaces.
The Colombian Ministry of Health has published a new code system, the 'Resumen Digital de Atención en Salud (RDA),' for standardizing diagnostic classification during medical encounters. This system aims to standardize diagnostic information across various healthcare events, including primary diagnoses, comorbidities, final discharge diagnoses, and causes of death.
Zihui Technology announced that it successfully assisted Tai'an Hospital in transforming its entire core medical data. Tai'an Hospital is now the first institution nationwide to apply complete medical records, converted according to the national standard 'TW Core IG,' into FHIR format and use them in clinical settings.
This article compares FHIR and custom REST APIs regarding their roles in exchanging risk adjustment data within the healthcare sector. It explains that APIs are foundational to system integration, enabling real-time data exchange and moving beyond traditional batch processing or manual workflows.
This guide details the usage of a healthcare interoperability API (Patient resource) compliant with the FHIR standard. Developers can learn the entire workflow, including obtaining, searching, creating, and updating patient information using OAuth2 authentication.
To address population aging and healthcare workforce shortages, Taiwan is advancing a digital health transformation under the 'Healthy Taiwan' vision. By integrating big data, AI, and cloud technologies across its system, it aims to achieve personalized and holistic care.
米国CDCは、NHSN Situational Awareness Framework for Reporting (SAFR) の実装ガイド v1.0.1を公開した。本ガイドはFHIR R4に基づき、特に「Intensive Care Unit Bed 6」のような具体的な病床の場所情報(Location)の取り扱いに関する仕様を提供する。
While US law grants patients the right to access medical records (via HIPAA/21st Century Cures Act), data retrieved through FHIR APIs remains limited. The key challenge is not merely providing data, but ensuring its 'trustworthiness' and 'provenance.'