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ZENODO
Dataset . 2022
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Dataset . 2022
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Clinical, technical, and implementation characteristics of real-world health applications using FHIR

Authors: Griffin, Ashley; He, Lu; Sunjaya, Anthony; King, Andrew; Khan, Zubin; Nwadiugwu, Martin; Douthit, Brian; +5 Authors

Clinical, technical, and implementation characteristics of real-world health applications using FHIR

Abstract

These data were generated from a Research Electronic Data Capture (REDCap®) electronic survey among FHIR app developers and implementers. The survey was distributed globally via email using snowball sampling and to FHIR app developers among our professional contacts. We defined a FHIR app as a software application that uses FHIR as its interface to the data it requires and is designed for a human end user (patient, provider, or other individual) involved in patient care or related services. Inclusion criteria were apps that 1) reported using FHIR, 2) focused on healthcare (clinical, administrative, patients/caregivers, research, or educational applications), 3) had real-world users (including in pilot mode), and 4) had an English-language version available. Apps were excluded if they were in conceptual or planning phases.

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.

Please refer to the ReadMe file.

Keywords

FOS: Computer and information sciences, Fast Healthcare Interoperability Resources, Health Information Interoperability, FHIR, Application Programming Interface, Medical Informatics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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