The Regional Open Digital Health Summit (RODHS) 2025 was held in New Delhi, gathering leaders from South-East Asian nations, governments, and international bodies. The focus was on establishing collaborative governance and interoperable platforms to achieve Universal Health Coverage.
MedCom is advancing healthcare data standardization in Denmark using the international standard HL7 FHIR. The organization has achieved practical use cases, such as sharing diagnosis information and advising on hospital stays, while also contributing to global standardization efforts.
This article explains how to configure 'expansion maps' used to transform hierarchical JSON data into Dataverse's relational model. This allows complex JSON attributes to be mapped to multiple, related Dataverse attributes.
Appian and Ignyte Group announced their win at the global HL7 AI Challenge for their "Bring AI to Work(flow)" solution. This platform aims to transform clinical and operational workflows within public health agencies and healthcare systems by embedding multiple types of AI.
The author attended the eHealth Exchange annual meeting and reported on the latest trends regarding data sharing and interoperability in healthcare. Key insights included discussions on FHIR maturity and participation in the CMS Pledge.
Medicom Technologies announced the extension of its enterprise imaging interoperability platform, integrating a suite of SMART on FHIR applications directly into Electronic Health Records (EHR). This integration streamlines image data management and exchange at the point of care, supporting faster and more accurate clinical decision-making.
The Ministry of Health (MOH) launched the 'Taiwan Smart Healthcare School' to train specialized talent capable of leading hospital digital transformation. The program aims to cultivate Clinical Medical Information Officers (CMIOs), who possess both clinical knowledge and IT expertise.
This research proposes FHIRconnect, a novel Domain-Specific Language (DSL) and open-source transformation engine to address interoperability challenges between openEHR and HL7 FHIR. This enables standardized, bidirectional data exchange across both healthcare standards.
This paper proposes FHIRconnect, a novel domain-specific language (DSL) and transformation engine, to address the interoperability challenges between openEHR and HL7 FHIR caused by fundamental data modeling differences. It enables standardized, bidirectional data exchange, providing a technical foundation for advancing semantic interoperability in healthcare IT systems.
True Electronic Health Record (EHR) integration requires 'semantic interoperability,' not just basic data connectivity. This article explains the characteristics and appropriate use cases of technologies ranging from legacy HL7 v2 to modern FHIR, demonstrating how to effectively utilize medical data.
This paper addresses the interoperability challenges between openEHR and HL7 FHIR due to fundamental differences in their data modeling. It proposes FHIRconnect, a novel domain-specific language (DSL) and open-source transformation engine that enables standardized, bidirectional data exchange. This framework aims to bridge critical interoperability gaps by leveraging international archetypes.
By utilizing the FHIR standard, it becomes possible to bridge information gaps between payers (health plans) and healthcare providers, thereby improving care quality and building trust.
A data structure for collaborative teleconsultation (teleconsult) has been defined based on the HL7 FHIR standard. This 'BundleRelazioneCollaborativaTeleconsultoTransaction' resource profile aims to streamline medical information sharing between electronic health record systems and standardize remote diagnosis and collaboration processes.
This article provides a technical guide on the structure and usage of medical terminologies based on HL7 FHIR. It comprehensively covers fundamental concepts like CodeSystem and ValueSet, as well as advanced data retrieval methods using videos and multiple API endpoints.
Extensive efforts are underway to move electronic product information (ePI) onto FHIR, a transition expected to become mandatory. This shift promises substantial advantages not only for regulators and industry but also, critically, for end users like patients and healthcare providers. However, successful implementation requires careful steps, stakeholder communication, and alignment on phasing.
This article introduces the 'RareLink' framework, designed to solve the problem of interoperability among international rare disease registries. It aims to accelerate research by utilizing standardized data models like FHIR and Phenopackets for large-scale data sharing.
Tenasol offers solutions to convert various healthcare data formats into FHIR, the latest standard. This conversion is possible from a wide range of formats, including unstructured data such as images and PDFs, in addition to structured ones like X12/EDI, HL7v2, and HL7v3.
Health Language, Inc.が提供するFHIR準拠の用語サーバー「Health Language FHIR Terminology Services」は、医療データの管理、維持、マッピングを一元化し、最適化されたパフォーマンスを保証する。これにより、Azureクライアントは高品質で信頼できる相互運用可能な参照データにアクセスでき、ONC Cures Actなどの規制要件に対応できる。