This page provides technical reference information for a specific ValueSet (2.16.840.1.113762.1.4.1029.207). This ValueSet defines multiple ICD-10 codes related to postprocedural hemorrhage, which are utilized for standardizing medical information.
This article introduces advanced methods for executing complex search queries using FHIR (Fast Healthcare Interoperability Resources). It presents five tasks, ranging from beginner to advanced levels, demonstrating practical data extraction skills such as utilizing `_include` and `_revinclude` parameters, composite searching, and reverse chaining.
NCQA PHEMUR has published a FHIR ValueSet defining specific gastrointestinal procedures (CT Colonography). This ValueSet incorporates multiple LOINC codes, providing a standardized dataset that supports various clinical scenarios, such as bowel contrast and screening.
This page presents the definition of a ValueSet called 'No Immunization Reason,' provided by HL7 Terminology. This ValueSet includes various code groups, such as IMMUNE (immunity), MEDPREC (medical precaution), and codes representing patient/philosophical/religious objections, detailing reasons for not receiving vaccinations.
IHE has provided a structured resource definition for the practitioner's role (PractitionerRole). This specification allows detailed information, such as the individual, associated organization, available services, and working hours, to be described using FHIR elements.
Today's healthcare sector is at a digital transformation crossroads, with significant shifts occurring in how drug information is handled. This movement centers on efforts to achieve global standardization through electronic labelling (e-Labelling) utilizing FHIR.
This guide provides a comprehensive developer resource on implementing FHIR for patient data exchange. It outlines methodologies, such as system assessment and data mapping, necessary to enhance interoperability and reduce errors.
Smart EHR assistants powered by AI are emerging to reduce administrative burdens on clinicians, allowing them to focus more on patient care. The key enabler for this transformation is FHIR, a standardized data exchange standard that enables real-time, intelligent interaction.
This article emphasizes the critical importance of selecting a FHIR server provider early in a project. It advises that instead of merely comparing technical features, one must build a long-term checklist covering business and technical requirements such as pricing models, multi-tenancy, and future scalability.
This course offers practical training to master FHIR (Fast Healthcare Interoperability Resources), the latest healthcare data exchange standard. Participants gain technical skills and strategic understanding necessary for modern healthcare IT, such as EHR integration and analytics using APIs.
This article introduces various data tools designed to support the implementation of FHIR (Fast Healthcare Interoperability Resources), a healthcare interoperability standard. By utilizing open-source tools like Tenasol and Inferno, it enables data visualization, validation against standards, and server construction, contributing to Japan's digital health realization.
This article compares two powerful tools—'Forge' and 'FHIR Shorthand (FSH)'—available when modeling FHIR profiles, providing guidance on how to use each. It offers strategic considerations for choosing the appropriate method in FHIR modeling.
This article provides a step-by-step guide on building a complete FHIR development environment using tools like VS Code, Git, and Docker. By following these structured steps, readers can establish a practical foundation for performing API queries and writing scripts.
Developed by HL7, FHIR is a modern standard that uses web-based APIs to bridge healthcare data gaps. It enables true interoperability across various fields, such as sharing information between EHRs and giving patients real-time access to their records, thereby driving the digital transformation of healthcare systems.
InterSystems provides comparative information on two major healthcare data standards: FHIR (Fast Healthcare Interoperability Resources) and OMOP (Observational Medical Outcomes Partnership). The content aims to explain the characteristics and use cases of each standard, assisting in ensuring interoperability of medical data.
Google released Android 16 Beta 4, expanding its testing scope beyond Pixel devices to include many other manufacturers. This version introduces several key improvements, including the ability to share medical and health data using FHIR format on the Health Connect platform, and LE Audio support for hearing aids.
The author explains the specific methods for importing standard terminologies like LOINC and SNOMED CT into Snowstorm and HAPI FHIR. The focus is on the necessary command-line operations and adjustments of configuration files (such as loincupload.properties) required for each tool.
Firely and Global Alliant are hosting a webinar on mapping from V2 to FHIR, covering practical use cases. The session will guide healthcare IT leaders on low-tech strategies (like spreadsheets) to bridge the gap, focusing on areas such as SDOH and opioid monitoring.
This article explains how to create and upload StructureDefinition resources using the FHIR API on an Aidbox FHIR server. This capability allows users to define profiles for standard resources, create custom extensions, and design unique user-defined resources.