Fast Healthcare Interoperability Resources (FHIR) is an interoperability standard for electronic exchange of healthcare information. FHIR was developed by Health Level Seven International (HL7), a not-for-profit organization accredited by the American National Standards Institute that develops and provides frameworks and standards for the sharing, integration and retrieval of clinical health data and other electronic health information.

Interoperability of healthcare data has become increasingly important given the increase in deployment of data driven algorithms in clinical settings. The Fast Healthcare Interoperability Resources (FHIR) standard has emerged as a promising mechanism to share healthcare data across vendors in real-time and batch settings. Real-world datasets available in FHIR would accelerate research and development of data-driven algorithms. Existing datasets in FHIR are primarily synthetic, and cover a limited number of resources. To address this gap, we have reformatted the Medical Information Mart for Intensive Care (MIMIC)-IV Clinical Database Demo into FHIR. The MIMIC clinical databases have received wide adoption and the constituent data are understood by the community. As much as possible, we adhered to the base resources with minimal extensions. Alongside the dataset, we publish openly available code allowing researchers to quickly build upon our work. Translating MIMIC-IV into FHIR provides a benchmark dataset for institutions to experiment with FHIR based tools, and we hope this resource supports adoption and use of FHIR.

API standards which use the Fast Healthcare Interoperability Resources (FHIR) Release 4 standard for health and care data exchange to create a unified approach to interoperability across England, Scotland, Wales and Northern Ireland.

Fast Healthcare Interoperability Resources (FHIR) has emerged as a robust standard for healthcare data exchange. To explore the use of FHIR for the process of data harmonization, we converted the Medical Information Mart for Intensive Care IV (MIMIC-IV) and MIMIC-IV Emergency Department (MIMIC-IV-ED) databases into FHIR. We extended base FHIR to encode information in MIMIC-IV and aimed to retain the data in FHIR with minimal additional processing, aligning to US Core v4.0.0 where possible. A total of 24 profiles were created for MIMIC-IV data, and an additional 6 profiles were created for MIMIC-IV-ED data. All MIMIC terminology was converted into code systems and value sets, as necessary. We hope MIMIC-IV in FHIR provides a useful restructuring of the data to support applications around data harmonization, interoperability, and other areas of research.

Dataset

This dataset contains synthetic input-output pairs The FHIR column consists of FHIR R4 resources as json strings The Note column is the natural language representation of this FHIR.

Search for free slots and book appointments using the Fast Healthcare Interoperability Resources (FHIR) standard for health and care data exchange.

Image of main FHIR resources with core data set (KDS) compliant linking.

Fast Healthcare Interoperability Resources (FHIR) has received vast support globally, with a growing number of use cases implemented throughout various healthcare settings. To assess the use of real-world FHIR applications (apps) implemented in practice, we distributed an electronic survey to FHIR developers and implementers. The data includes characteristics of 112 FHIR apps, including health domain, target audience, terminologies, FHIR specifications, implementation details, and types of organizations developing with FHIR. This repository includes the survey dataset and survey codebook.

Additional file 3. Jupyter Notebook showing a comparable analysis process using a Pathling server.

Send a PDF consultation summary to a registered GP practice using the Fast Healthcare Interoperability Resources (FHIR) standard for health and care data exchange.

API standards using the Fast Healthcare Interoperability Resources (FHIR) standard for health and care data exchange in version STU 3 to create a unified approach to interoperability across England

This dataset contains information on Catalog Entry resource of FHIR (Fast Healthcare Interoperability Resources). Catalog entries are wrappers that contextualize items included in a catalog.

Example of an openEHR Medication order, profiled to fit a FHIR Medication Order.

A set of guides on implementing various processes within hospitals or healthcare systems.

Locate and access patient information shared by other healthcare organisations using the National Record Locator (NRL) Fast Healthcare Interoperability Resources (FHIR) API.

Create and transmit documents containing Transfer of Care information to support an emergency care discharge using the Fast Healthcare Interoperability Resources (FHIR) standard for health and care data exchange.

Analysis of ‘FHIR Patient Record ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mustafasenol95/fhir-patient-record on 30 September 2021.

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Explore Principles of health interoperability : SNOMED CT, HL7 and FHIR through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets

Supplementary tables and figures from the research work of harvesting metadata in a clinical enviroment. The tables include a crosswalk between the 4 different data formats FHIR, OMOP, openEHR and CDISC and a prioritization of the metadata items identified. The figures include the visualization of a priority scoring and an example of the prevented data loss by using the proposed convergence format.