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Adoption Factors of the Electronic Health Record: A Systematic Review

BACKGROUND: The Health Information Technology for Economic and Clinical Health (HITECH) was a significant piece of legislation in America that served as a catalyst for the adoption of health information technology. Following implementation of the HITECH Act, Health Information Technology (HIT) exper...

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Autores principales: Kruse, Clemens Scott, Kothman, Krysta, Anerobi, Keshia, Abanaka, Lillian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909978/
https://www.ncbi.nlm.nih.gov/pubmed/27251559
http://dx.doi.org/10.2196/medinform.5525
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author Kruse, Clemens Scott
Kothman, Krysta
Anerobi, Keshia
Abanaka, Lillian
author_facet Kruse, Clemens Scott
Kothman, Krysta
Anerobi, Keshia
Abanaka, Lillian
author_sort Kruse, Clemens Scott
collection PubMed
description BACKGROUND: The Health Information Technology for Economic and Clinical Health (HITECH) was a significant piece of legislation in America that served as a catalyst for the adoption of health information technology. Following implementation of the HITECH Act, Health Information Technology (HIT) experienced broad adoption of Electronic Health Records (EHR), despite skepticism exhibited by many providers for the transition to an electronic system. A thorough review of EHR adoption facilitator and barriers provides ongoing support for the continuation of EHR implementation across various health care structures, possibly leading to a reduction in associated economic expenditures. OBJECTIVE: The purpose of this review is to compile a current and comprehensive list of facilitators and barriers to the adoption of the EHR in the United States. METHODS: Authors searched Cumulative Index of Nursing and Allied Health Literature (CINAHL) and MEDLINE, 01/01/2012–09/01/2015, core clinical/academic journals, MEDLINE full text, and evaluated only articles germane to our research objective. Team members selected a final list of articles through consensus meetings (n=31). Multiple research team members thoroughly read each article to confirm applicability and study conclusions, thereby increasing validity. RESULTS: Group members identified common facilitators and barriers associated with the EHR adoption process. In total, 25 adoption facilitators were identified in the literature occurring 109 times; the majority of which were efficiency, hospital size, quality, access to data, perceived value, and ability to transfer information. A total of 23 barriers to adoption were identified in the literature, appearing 95 times; the majority of which were cost, time consuming, perception of uselessness, transition of data, facility location, and implementation issues. CONCLUSIONS: The 25 facilitators and 23 barriers to the adoption of the EHR continue to reveal a preoccupation on cost, despite incentives in the HITECH Act. Limited financial backing and outdated technology were also common barriers frequently mentioned during data review. Future public policy should include incentives commensurate with those in the HITECH Act to maintain strong adoption rates.
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spelling pubmed-49099782016-06-28 Adoption Factors of the Electronic Health Record: A Systematic Review Kruse, Clemens Scott Kothman, Krysta Anerobi, Keshia Abanaka, Lillian JMIR Med Inform Original Paper BACKGROUND: The Health Information Technology for Economic and Clinical Health (HITECH) was a significant piece of legislation in America that served as a catalyst for the adoption of health information technology. Following implementation of the HITECH Act, Health Information Technology (HIT) experienced broad adoption of Electronic Health Records (EHR), despite skepticism exhibited by many providers for the transition to an electronic system. A thorough review of EHR adoption facilitator and barriers provides ongoing support for the continuation of EHR implementation across various health care structures, possibly leading to a reduction in associated economic expenditures. OBJECTIVE: The purpose of this review is to compile a current and comprehensive list of facilitators and barriers to the adoption of the EHR in the United States. METHODS: Authors searched Cumulative Index of Nursing and Allied Health Literature (CINAHL) and MEDLINE, 01/01/2012–09/01/2015, core clinical/academic journals, MEDLINE full text, and evaluated only articles germane to our research objective. Team members selected a final list of articles through consensus meetings (n=31). Multiple research team members thoroughly read each article to confirm applicability and study conclusions, thereby increasing validity. RESULTS: Group members identified common facilitators and barriers associated with the EHR adoption process. In total, 25 adoption facilitators were identified in the literature occurring 109 times; the majority of which were efficiency, hospital size, quality, access to data, perceived value, and ability to transfer information. A total of 23 barriers to adoption were identified in the literature, appearing 95 times; the majority of which were cost, time consuming, perception of uselessness, transition of data, facility location, and implementation issues. CONCLUSIONS: The 25 facilitators and 23 barriers to the adoption of the EHR continue to reveal a preoccupation on cost, despite incentives in the HITECH Act. Limited financial backing and outdated technology were also common barriers frequently mentioned during data review. Future public policy should include incentives commensurate with those in the HITECH Act to maintain strong adoption rates. JMIR Publications 2016-06-01 /pmc/articles/PMC4909978/ /pubmed/27251559 http://dx.doi.org/10.2196/medinform.5525 Text en ©Clemens Scott Kruse, Krysta Kothman, Keshia Anerobi, Lillian Abanaka. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 01.06.2016. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), 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
Kruse, Clemens Scott
Kothman, Krysta
Anerobi, Keshia
Abanaka, Lillian
Adoption Factors of the Electronic Health Record: A Systematic Review
title Adoption Factors of the Electronic Health Record: A Systematic Review
title_full Adoption Factors of the Electronic Health Record: A Systematic Review
title_fullStr Adoption Factors of the Electronic Health Record: A Systematic Review
title_full_unstemmed Adoption Factors of the Electronic Health Record: A Systematic Review
title_short Adoption Factors of the Electronic Health Record: A Systematic Review
title_sort adoption factors of the electronic health record: a systematic review
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909978/
https://www.ncbi.nlm.nih.gov/pubmed/27251559
http://dx.doi.org/10.2196/medinform.5525
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