1,676 FHIR-related articles (latest first)
FHIR (Fast Healthcare Interoperability Resources), developed by HL7, utilizes RESTful APIs to solve traditional system integration challenges. This enables data interoperability and utilization across diverse fieldsβsuch as patient access, clinical decision support, and public health reportingβfacilitating the realization of a sophisticated healthcare ecosystem.
The article emphasizes that dental clinics must select appropriate CRM systems to cope with tightening regulations (mandatory electronic medical record submission to EGISZ) and increased market competition. Crucially, the system must support HL7/FHIR standards, cloud architecture, and comprehensive analytics.
The `pathling` package in R demonstrates the use of the function `ds_write_ndjson` to write structured data, such as FHIR resources, into a directory of NDJSON files. This provides a technical method for efficiently splitting and saving large datasets.
This article details the technical specification for the 'Permission' resource, which defines access rules for data within electronic health record systems. This resource provides a mechanism to control who can access data and under what context.
HL7 Patient Care WG Steward published a ValueSet for assessing depressive states. This set includes multiple reliable screening tools, such as PHQ-9 and GDS, mapped to LOINC codes. This is expected to improve the standardization and interoperability of mental health data.
This Google Skills Boost page aggregates numerous user reviews regarding the topic, 'Streaming HL7 to FHIR Data with Dataflow and the Healthcare API.' The content primarily consists of general user feedback rather than detailed technical implementation or background information.
FHIRWorks is a free Chrome add-on designed to help healthcare professionals and developers easily understand and verify the capabilities of HL7 FHIR systems. By using this tool, users can efficiently assess the conformance of various FHIR implementations, aiding in improving workflows for healthcare data interoperability.
Healthcare organizations registering for Health Records can preview their organization and FHIR API endpoint before publication. This guide details the specific steps required to view and validate an approved API endpoint within the actual Health app environment.
Querium is a customized IDE built specifically for FHIR and SMART on FHIR. It assists clinicians, data engineers, and healthtech platforms by improving usability and ensuring compliance when handling complex medical data.
Sonata Health and Life Sciences conducted an assessment of data interoperability utilizing FHIR standards.
Edvak Docs provides a standardized API compliant with HL7 FHIR R4 specifications, enabling secure and unified access to patient and population health data. This standardizes data handling in healthcare settings and establishes an easily usable environment for developers.
This document describes the `TSubscriptionFilterBy` class, which is part of FHIR resource subscription functionality. This class provides a structure for filtering notifications to determine which specific topics (SubscriptionTopic) a client wishes to receive updates about.
Achieving effective healthcare requires a 'common language' to prevent data silos. This article outlines the specific steps and approaches necessary for developing and promoting data standards like HL7 and FHIR.
Information regarding the 'i-Tube' system, a FHIR standard compliance testing system for medical information exchange, was published through an equipment sharing service provided by the Kimhae Bio-Industry Promotion Institute. This system verifies the interoperability of various healthcare products, including Personal Health Devices (PHD) and various vital sign measuring devices, supporting the establishment of a linkage foundation with Electronic Medical Records (EMR).
CitiusTech's PERFORM+ Connect is a comprehensive solution designed to help healthcare organizations advance their interoperability strategy and accelerate FHIR implementation and adoption. It specifically addresses compliance with the CMS interoperability rule, which is crucial as payers, providers, and pharma converge.
This article introduces a Rust crate that integrates the UCUM core library with FHIR, enabling unit conversion and equivalence checking between different units. The developer demonstrated how this tool can be used to validate and utilize `Quantity` type values found in FHIR Observation data across various units.
This article technically explains how to configure the data processing pipeline within Firely Server. It utilizes `PipelineOptions` and `SupportedInteractions` to precisely control the API's operational scope and supported FHIR operations (CRUD, etc.).
Healthcare organizations must implement a unified API gateway in complex digital environments, ensuring organized data communication between patient portals and backend systems. This enhances security and scalability while managing diverse data sources.
This page provides numerous test definitions to comprehensively validate basic resource operations (CRUD) compliant with FHIR 4.0.1. Specifically, it confirms basic operations in JSON/XML formats for medical resource types like Substance and Task, including ID management from both client and server sides. This is crucial for ensuring interoperability when exchanging data between electronic health record systems.
This paper proposes an open-source solution utilizing FHIR and SMART on FHIR to record and manage patient-reported outcomes (PROs). It demonstrates that this approach can achieve the goals set by the Health Outcomes Observatory (H2O) project, addressing the growing need for data standardization and patient inclusion in healthcare.