Cargando…

Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and Analysis

BACKGROUND: Third-party electronic health record (EHR) apps allow health care organizations to extend the capabilities and features of their EHR system. Given the widespread utilization of EHRs and the emergence of third-party apps in EHR marketplaces, it has become necessary to conduct a systematic...

Descripción completa

Detalles Bibliográficos
Autores principales: Ritchie, Jordon, Welch, Brandon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293052/
https://www.ncbi.nlm.nih.gov/pubmed/32469324
http://dx.doi.org/10.2196/16980
_version_ 1783546223059271680
author Ritchie, Jordon
Welch, Brandon
author_facet Ritchie, Jordon
Welch, Brandon
author_sort Ritchie, Jordon
collection PubMed
description BACKGROUND: Third-party electronic health record (EHR) apps allow health care organizations to extend the capabilities and features of their EHR system. Given the widespread utilization of EHRs and the emergence of third-party apps in EHR marketplaces, it has become necessary to conduct a systematic review and analysis of apps in EHR app marketplaces. OBJECTIVE: The goal of this review is to organize, categorize, and characterize the availability of third-party apps in EHR marketplaces. METHODS: Two informaticists (authors JR and BW) used grounded theory principles to review and categorize EHR apps listed in top EHR vendors’ public-facing marketplaces. RESULTS: We categorized a total of 471 EHR apps into a taxonomy consisting of 3 primary categories, 15 secondary categories, and 55 tertiary categories. The three primary categories were administrative (n=203, 43.1%), provider support (n=159, 33.8%), and patient care (n=109, 23.1%). Within administrative apps, we split the apps into four secondary categories: front office (n=77, 37.9%), financial (n=53, 26.1%), office administration (n=49, 24.1%), and office device integration (n=17, 8.4%). Within the provider support primary classification, we split the apps into eight secondary categories: documentation (n=34, 21.3%), records management (n=27, 17.0%), care coordination (n=23, 14.4%), population health (n=18, 11.3%), EHR efficiency (n=16, 10.1%), ordering and prescribing (n=15, 9.4%), medical device integration (n=13, 8.2%), and specialty EHR (n=12, 7.5%). Within the patient care primary classification, we split the apps into three secondary categories: patient engagement (n=50, 45.9%), clinical decision support (n=40, 36.7%), and remote care (n=18, 16.5%). Total app counts varied substantially across EHR vendors. Overall, the distribution of apps across primary categories were relatively similar, with a few exceptions. CONCLUSIONS: We characterized and organized a diverse and rich set of third-party EHR apps. This work provides an important reference for developers, researchers, and EHR customers to more easily search, review, and compare apps in EHR app marketplaces.
format Online
Article
Text
id pubmed-7293052
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-72930522020-06-19 Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and Analysis Ritchie, Jordon Welch, Brandon JMIR Med Inform Original Paper BACKGROUND: Third-party electronic health record (EHR) apps allow health care organizations to extend the capabilities and features of their EHR system. Given the widespread utilization of EHRs and the emergence of third-party apps in EHR marketplaces, it has become necessary to conduct a systematic review and analysis of apps in EHR app marketplaces. OBJECTIVE: The goal of this review is to organize, categorize, and characterize the availability of third-party apps in EHR marketplaces. METHODS: Two informaticists (authors JR and BW) used grounded theory principles to review and categorize EHR apps listed in top EHR vendors’ public-facing marketplaces. RESULTS: We categorized a total of 471 EHR apps into a taxonomy consisting of 3 primary categories, 15 secondary categories, and 55 tertiary categories. The three primary categories were administrative (n=203, 43.1%), provider support (n=159, 33.8%), and patient care (n=109, 23.1%). Within administrative apps, we split the apps into four secondary categories: front office (n=77, 37.9%), financial (n=53, 26.1%), office administration (n=49, 24.1%), and office device integration (n=17, 8.4%). Within the provider support primary classification, we split the apps into eight secondary categories: documentation (n=34, 21.3%), records management (n=27, 17.0%), care coordination (n=23, 14.4%), population health (n=18, 11.3%), EHR efficiency (n=16, 10.1%), ordering and prescribing (n=15, 9.4%), medical device integration (n=13, 8.2%), and specialty EHR (n=12, 7.5%). Within the patient care primary classification, we split the apps into three secondary categories: patient engagement (n=50, 45.9%), clinical decision support (n=40, 36.7%), and remote care (n=18, 16.5%). Total app counts varied substantially across EHR vendors. Overall, the distribution of apps across primary categories were relatively similar, with a few exceptions. CONCLUSIONS: We characterized and organized a diverse and rich set of third-party EHR apps. This work provides an important reference for developers, researchers, and EHR customers to more easily search, review, and compare apps in EHR app marketplaces. JMIR Publications 2020-05-29 /pmc/articles/PMC7293052/ /pubmed/32469324 http://dx.doi.org/10.2196/16980 Text en ©Jordon Ritchie, Brandon Welch. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 29.05.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Ritchie, Jordon
Welch, Brandon
Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and Analysis
title Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and Analysis
title_full Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and Analysis
title_fullStr Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and Analysis
title_full_unstemmed Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and Analysis
title_short Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and Analysis
title_sort categorization of third-party apps in electronic health record app marketplaces: systematic search and analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293052/
https://www.ncbi.nlm.nih.gov/pubmed/32469324
http://dx.doi.org/10.2196/16980
work_keys_str_mv AT ritchiejordon categorizationofthirdpartyappsinelectronichealthrecordappmarketplacessystematicsearchandanalysis
AT welchbrandon categorizationofthirdpartyappsinelectronichealthrecordappmarketplacessystematicsearchandanalysis