Potential impact of data source and interoperability messaging on health information technology (HIT) users: a study series from the United States Department of Veterans Affairs.


Journal

BMJ health & care informatics
ISSN: 2632-1009
Titre abrégé: BMJ Health Care Inform
Pays: England
ID NLM: 101745500

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 30 10 2018
revised: 06 01 2019
accepted: 06 01 2019
entrez: 1 5 2019
pubmed: 1 5 2019
medline: 21 8 2019
Statut: ppublish

Résumé

The promise of Health Information Exchange (HIE) systems rests in their potential to provide clinicians and administrative staff rapid access to relevant patient data to support judgement and decision-making. However, HIE systems can have usability and technical issues, as well as fail to support user workflow. Share the findings from a series of studies that address HIE system deficiencies for an Electronic Health Record (EHR) viewer which accesses multiple data sources. A variety of methods were used, in a series of studies, to gain a better understanding of issues and their mitigation through use of promising EHR viewer features. The study series results are presented by the themes that underscore the importance for users to distinguish between data that are available but missing due to connection or system errors, data that are omitted entirely because they are not available and data that are excluded due to filtered search criteria. The principal findings from this study series led to improvement recommendations for the EHR viewer, as well as citing areas that are ripe for further investigation and analysis.

Sections du résumé

BACKGROUND BACKGROUND
The promise of Health Information Exchange (HIE) systems rests in their potential to provide clinicians and administrative staff rapid access to relevant patient data to support judgement and decision-making. However, HIE systems can have usability and technical issues, as well as fail to support user workflow.
OBJECTIVE OBJECTIVE
Share the findings from a series of studies that address HIE system deficiencies for an Electronic Health Record (EHR) viewer which accesses multiple data sources.
METHODS METHODS
A variety of methods were used, in a series of studies, to gain a better understanding of issues and their mitigation through use of promising EHR viewer features.
RESULTS RESULTS
The study series results are presented by the themes that underscore the importance for users to distinguish between data that are available but missing due to connection or system errors, data that are omitted entirely because they are not available and data that are excluded due to filtered search criteria.
CONCLUSIONS CONCLUSIONS
The principal findings from this study series led to improvement recommendations for the EHR viewer, as well as citing areas that are ripe for further investigation and analysis.

Identifiants

pubmed: 31039119
pii: bmjhci-2019-000014
doi: 10.1136/bmjhci-2019-000014
pmc: PMC7062314
doi:

Types de publication

Journal Article

Langues

eng

Pagination

0

Informations de copyright

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Références

J Am Med Inform Assoc. 2009 May-Jun;16(3):271-3
pubmed: 19407078
BMJ. 2010 Sep 01;341:c4564
pubmed: 20813822
J Am Med Inform Assoc. 2004 Mar-Apr;11(2):104-12
pubmed: 14633936
J Am Med Inform Assoc. 2016 Sep;23(5):899-908
pubmed: 26911829
Stud Health Technol Inform. 2005;116:427-32
pubmed: 16160295
J Biomed Inform. 2003 Feb-Apr;36(1-2):23-30
pubmed: 14552844
J Am Med Inform Assoc. 2006 Mar-Apr;13(2):138-47
pubmed: 16357358

Auteurs

Jennifer Herout (J)

Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs, Washington, District of Columbia, USA jennifer.herout@va.gov.

Donna Baggetta (D)

Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs, Washington, District of Columbia, USA.

Amanda Cournoyer (A)

Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs, Washington, District of Columbia, USA.

Aaron S Dietz (AS)

Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs, Washington, District of Columbia, USA.

Jane Robbins (J)

Experience Practice, ICF Next, Fairfax, VA, USA.

Kyle Maddox (K)

Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs, Washington, District of Columbia, USA.

Jolie Dobre (J)

1 Source Consulting, Inc, Washington, District of Columbia, USA.

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Classifications MeSH