This document defines the structure for an Observation resource, including systolic and diastolic blood pressure components, based on the FHIR standard. This aims to standardize the handling of vital sign data within healthcare information systems.
IRI offers a solution using DarkShield technology to search for and anonymize sensitive "Dark Data" from various sources, including FHIR documents and EDI files. This capability is crucial for complying with global privacy regulations like HIPAA.
A developer encountered a situation where the FHIR server returned an HTTP status of "HTTP/1.1 200 200" instead of the expected "HTTP/1.1 200 OK" during a GET request. The discussion seeks clarification on the meaning of this specific status code, particularly when dealing with empty bundle search results.
The Africa CDC, in collaboration with the WHO, aims to strengthen digital health governance and improve pandemic preparedness. Through the 'Africa on FHIR' project, it seeks to standardize medical data across the continent and ensure smooth information exchange.
The Africa CDC is collaborating with the WHO to advance digital health governance and pandemic preparedness. Key efforts include enhancing interoperability through 'Africa on FHIR' and implementing a Digital Health Blueprint in partnership with Smart Africa.
FHIRDoc is a specialized service that provides comprehensive documentation for Fast Healthcare Interoperability Resources (FHIR) and the HAPI FHIR platform. Utilizing this service allows for accurate and user-friendly documentation covering FHIR resources, profiles, and implementation guides.
This article provides a detailed technical guide on implementing authentication (AuthN) capabilities for HAPI FHIR. It outlines the procedure for building a secure authorization flow using open-source tools such as OAuth2 Proxy, Nginx, and Keycloak.
Sonata Software Ltd. offers a Proof of Concept (POC) for data interoperability using FHIR standards, leveraging Azure Health Data Services. The solution aims to support system integration and data analytics across the healthcare and life sciences sectors.
This article provides a technical guide on adding authentication (AuthN) support to HAPI FHIR. It details the process of achieving secure access control by utilizing Nginx as a reverse proxy, which routes requests through an OAuth2 Proxy.
This page demonstrates a mechanism for extracting data from FHIR resources (Patient) and displaying it in a structured format using SQL queries. Specifically, multiple attributes such as ID, birthDate, last name, and first name are combined and confirmed as a dataset.
The healthcare industry is undergoing a major transformation, with advancements in data interoperability and AI expected. Specifically, the integration of the FHIR standard is anticipated to become a foundation for real-time patient data sharing beyond electronic health records (EHRs).
An Oracle Health & Life Sciences expert discusses the technical and regulatory hurdles of integrating Real World Data (RWD) into clinical trials. Success requires leveraging standards like FHIR and CDISC to balance patient privacy protection with scientific advancement.
Black Book Research announced the release of its latest resource, "The 2025 Black Book of Physician Practice Management Technology." This report provides a data-driven deep dive into the rapidly evolving physician practice management (PM) technology market, offering critical insights to healthcare providers and tech stakeholders.
This article explains FHIR (Fast Healthcare Interoperability Resources), whose importance was highlighted by the pandemic. It provides multiple benefits, including enhanced security, documentation support, search API functionality, and increased market value, thereby promoting healthcare interoperability in the digital age.
This article discusses how healthcare standards, such as FHIR, affect the integration of chatbots with electronic health records (EHR). It provides information for understanding these technical challenges within the context of utilizing LLMs and AI models.
The implementation guide for 'HL7ยฎ Serious Med' based on FHIR has been released as version 1.0.0. This guide is built upon FHIR 4.0.1 and reflects information current as of November 11, 2024.
A project leader reading FHIR documentation may be confused by the 'TU (Trial Use)' flag attached to resource types. The author suggests that once committed to a specific version, all resource types should be used regardless of their maturity level.
SMART Health Cards released a ValueSet providing codes to identify qualitative results related to infectious diseases. This code set is built using major medical standards like SNOMED CT and LOINC, aiding data exchange in clinical settings.