1,676 FHIR-related articles (latest first)
ITC Infotech India Limited offers an interoperability platform for the healthcare industry utilizing MS Azure FHIR API. This solution enables the collation of patient clinical data from multiple clinical systems and different standards, allowing information retrieval in a simple manner.
AWS HealthLake provides integrated Natural Language Processing (NLP) libraries that parse, identify, and map information from unstructured data stored in FHIR DocumentReference resources. This process identifies entities with traits like SIGN, SYMPTOM, or DIAGNOSIS, creating new Condition and Observation resources linked to the source document.
The author highlights five popular articles written in 2024 concerning FHIR. These topics address common misconceptions, such as the difficulty of converting from HL7 to FHIR (calling it a 'pipe dream'), clarifying that FHIR is not merely a database, and emphasizing the critical importance of CodeableConcepts.
This page provides SVG icon assets for a concept related to FHIR (Fast Healthcare Interoperability Resources), specifically labeled 'Negative Space.' The icons are available for free commercial use by individuals and enterprises, allowing modification and derivation, but prohibiting redistribution for sale.
Google has released the second developer preview of Android 16. This version enhances healthcare record management by enabling the handling of data in FHIR format through Health Connect and new APIs.
Apple has published detailed procedures and verification processes for testing FHIR APIs within its Health Records feature. The guide outlines the technical requirements and registration flow necessary for vendors to provide APIs, making data available in the Health app.
MeldRx held a predictive AI application development challenge, encouraging participants to solve real-world healthcare problems using AI and machine learning. Participants must build systems adhering to the SMART on FHIR standard and HL7 FHIR specifications, aiming to improve healthcare interoperability.
fireup.pro implemented a system integration using FHIR for '9amHealth,' an online service for chronic patients like those with diabetes. This achieved the secure and efficient processing of data from multiple medical sources, ensuring interoperability compliant with international regulations (HIPAA).
This article introduces a rich set of data models, accessible via a Dart API, designed to handle diverse healthcare information such as electronic health records and appointment management. It details specific structures for essential elements like patient demographics, clinical encounters, medications, and medical devices.
This document defines the structure and constraints of FHIR resources used to handle 'Organization' entities in electronic health records. It details data structures and required elements, particularly when conforming to multiple profiles (such as ROROrganization).
The author discusses methods for determining the availability of a FHIR server used by an application. While running resource queries is technically possible, it is deemed poor practice in production environments due to unnecessary data access and logging implications.
Suki, a leader in healthcare AI, announced major enhancements to its flagship product, Suki Assistant, through a partnership with Google Cloud. The integration enables the generation of patient summaries from EHR data and provides conversational answers (Q&A) to medical questions, fundamentally transforming clinical workflows.
FHIR is a standard for fast and secure data exchange among diverse systems like EHRs and medical devices. The article explains the evolution from HL7 v2 to FHIR, detailing the technical aspects of data integration and processing in real-world online healthcare services.
AWS HealthLake allows users to export FHIR data. Users can use native actions to start and manage export jobs, which are processed asynchronously in a FIFO (First In First Out) manner.
The 'Open Digital Health Summit,' held in Nairobi from December 1-3, 2024, focused on accelerating digital health transformation using open standards and the Full-STAC approach. Discussions centered heavily on FHIR (Fast Healthcare Interoperability Resources), highlighting global efforts to achieve national electronic health records.
AWS HealthLake allows the management of various FHIR resources through RESTful APIs compliant with the HL7 FHIR R4 standard. Developers can utilize specific interactions (create, read, update, etc.) to achieve efficient data exchange within the data store.
AWS HealthLake supports the base FHIR R4 specification and validates data using various domain-specific 'FHIR Profiles.' This ensures that data imported into the service adheres to diverse international standards (such as US Core, UK Core, etc.), enabling robust handling of specialized medical information.
A FHIR ValueSet defining 'Suicide Risk Assessment' has been published. This ValueSet links with SNOMED CT, providing a standardized reference for handling the specific medical procedure code (225337009).
The developer-focused FHIR viewer, 'Vanya,' has introduced a feature allowing users to save search queries and execute them against any accessible FHIR server. This significantly improves data access by reducing the need for manual JSON parsing, such as that done in Postman.
UniDoc Health Corp. reported its progress in the eHealth sector through strategic partnerships and AI integration. The company announced global deployment of the H3 Health Cube with HP Inc., alongside FHIR-based interoperability and the launch of 'NEIL Connect,' an AI platform enhancing diagnostic accuracy, demonstrating commitment to solving global healthcare challenges.