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Fast Healthcare Interoperability Resources
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Fast Healthcare Interoperability Resources
The Fast Healthcare Interoperability Resources (FHIR, /faɪər/, like fire) standard is a set of rules and specifications for the secure exchange of electronic health care data. It is designed to be flexible and adaptable, so that it can be used in a wide range of settings and with different health care information systems. The standard describes data formats and elements (known as "resources") and an application programming interface (API) for exchanging electronic health records (EHR). The standard was created by the Health Level Seven International (HL7) health-care standards organization.
FHIR builds on previous data format standards from HL7, like HL7 version 2.x and HL7 version 3.x. But it is easier to implement because it uses a modern web-based suite of API technology, including a HTTP-based RESTful protocol, and a choice of JSON, XML or RDF for data representation. One of its goals is to facilitate interoperability between legacy health care systems, to make it easier to provide health care information to health care providers and individuals on a wide variety of devices from computers to tablets to cell phones, and to allow third-party application developers to provide medical applications which can be easily integrated into existing systems.
FHIR provides an alternative to document-centric approaches by directly exposing discrete data elements as services. For example, basic elements of healthcare like patients, admissions, diagnostic reports and medications can each be retrieved and manipulated via their own resource URLs.
FHIR is organized by resources (e.g., patient, observation). Such resources can be specified further by defining FHIR profiles (for example, binding to a specific terminology). A collection of profiles can be published as an implementation guide (IG), such as The U.S. Core Data for Interoperability (USCDI). The ONC anticipates finalizing USCDI v4 in July 2023.
Because FHIR is implemented on top of the HTTPS (HTTP Secure) protocol, FHIR resources can be retrieved and parsed by analytics platforms for real-time data gathering. In this concept, healthcare organizations would be able to gather real-time data from specified resource models. FHIR resources can be streamed to a data store where they can be correlated with other informatics data. Potential use cases include epidemic tracking, prescription drug fraud, adverse drug interaction warnings, and the reduction of emergency room wait times.
A number of high-profile players in the health care informatics field are showing interest in and experimenting with FHIR, including CommonWell Health Alliance and SMART (Substitutable Medical Applications, Reusable Technologies).
Open source implementations of FHIR data structures, servers, clients and tools include reference implementations from HL7 in a variety of languages, SMART on FHIR, HAPI-FHIR in Java, and many others (see reference).
A variety of applications were demonstrated at the FHIR Applications Roundtable in July 2016. The Sync for Science (S4S) profile builds on FHIR to help medical research studies ask for (and if approved by the patient, receive) patient-level electronic health record data.
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Fast Healthcare Interoperability Resources
The Fast Healthcare Interoperability Resources (FHIR, /faɪər/, like fire) standard is a set of rules and specifications for the secure exchange of electronic health care data. It is designed to be flexible and adaptable, so that it can be used in a wide range of settings and with different health care information systems. The standard describes data formats and elements (known as "resources") and an application programming interface (API) for exchanging electronic health records (EHR). The standard was created by the Health Level Seven International (HL7) health-care standards organization.
FHIR builds on previous data format standards from HL7, like HL7 version 2.x and HL7 version 3.x. But it is easier to implement because it uses a modern web-based suite of API technology, including a HTTP-based RESTful protocol, and a choice of JSON, XML or RDF for data representation. One of its goals is to facilitate interoperability between legacy health care systems, to make it easier to provide health care information to health care providers and individuals on a wide variety of devices from computers to tablets to cell phones, and to allow third-party application developers to provide medical applications which can be easily integrated into existing systems.
FHIR provides an alternative to document-centric approaches by directly exposing discrete data elements as services. For example, basic elements of healthcare like patients, admissions, diagnostic reports and medications can each be retrieved and manipulated via their own resource URLs.
FHIR is organized by resources (e.g., patient, observation). Such resources can be specified further by defining FHIR profiles (for example, binding to a specific terminology). A collection of profiles can be published as an implementation guide (IG), such as The U.S. Core Data for Interoperability (USCDI). The ONC anticipates finalizing USCDI v4 in July 2023.
Because FHIR is implemented on top of the HTTPS (HTTP Secure) protocol, FHIR resources can be retrieved and parsed by analytics platforms for real-time data gathering. In this concept, healthcare organizations would be able to gather real-time data from specified resource models. FHIR resources can be streamed to a data store where they can be correlated with other informatics data. Potential use cases include epidemic tracking, prescription drug fraud, adverse drug interaction warnings, and the reduction of emergency room wait times.
A number of high-profile players in the health care informatics field are showing interest in and experimenting with FHIR, including CommonWell Health Alliance and SMART (Substitutable Medical Applications, Reusable Technologies).
Open source implementations of FHIR data structures, servers, clients and tools include reference implementations from HL7 in a variety of languages, SMART on FHIR, HAPI-FHIR in Java, and many others (see reference).
A variety of applications were demonstrated at the FHIR Applications Roundtable in July 2016. The Sync for Science (S4S) profile builds on FHIR to help medical research studies ask for (and if approved by the patient, receive) patient-level electronic health record data.