Cited by 241Electronic Health Records SystemsArtificial Intelligence in Healthcare and EducationTechnology and Human Factors in Education and Health

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Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation

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Marwaha, Jayson S., Landman, Adam B., Brat, Gabriel A., Dunn, Todd, Gordon, William J.·2022·npj Digital Medicine

DOI 10.1038/s41746-022-00557-1PMC PMC8795422

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Abstract

In recent years, the number of digital health tools with the potential to significantly improve delivery of healthcare services has grown tremendously. However, the use of these tools in large, complex health systems remains comparatively limited. The adoption and implementation of digital health tools at an enterprise level is a challenge; few strategies exist to help tools cross the chasm from clinical validation to integration within the workflows of a large health system. Many previously proposed frameworks for digital health implementation are difficult to operationalize in these dynamic organizations. In this piece, we put forth nine dimensions along which clinically validated digital health tools should be examined by health systems prior to adoption, and propose strategies for selecting digital health tools and planning for implementation in this setting. By evaluating prospective tools along these dimensions, health systems can evaluate which existing digital health solutions are worthy of adoption, ensure they have sufficient resources for deployment and long-term use, and devise a strategic plan for implementation.

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Fig. 1 Approaches to digital health tool selection. Various digital health-product-selection approaches, and important considerations for each approach. We recommend investigating the viability of all four possibilities in parallel; the optimal approach will depend on the type of problem being addressed and characteristics of the health system.CC BY · PubMed Central

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Authors: Marwaha, J. S., Landman, A. B., Brat, G. A., Dunn, T., & Gordon, W. J.
Affiliations: Beth Israel Deaconess Medical Center (US)
Brigham and Women's Hospital (US)
Corresponding author: Marwaha, Jayson S.
ORCID: Marwaha, Jayson S.
Landman, Adam B.
Brat, Gabriel A.
Gordon, William J.
Venue: npj Digital Medicine
Publisher: Springer Science and Business Media LLC
Published: 2022-01-27
Volume: 5
Issue: 1
Pages: 13-13
ISSN: 2398-6352 (ISSN-L)
DOI: 10.1038/s41746-022-00557-1
PMC: PMC8795422
OpenAlex: W4210337422
Cited by: 241
References: 27
Citations by year: 2026: 43 · 2025: 63 · 2024: 59 · 2023: 42 · 2022: 34
FWCI: 7.32
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0 (tdm)
creativecommons.org/licenses/by/4.0 (vor)
Locations: npj Digital Medicine (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders: Harvard University (Biomedical Informatics and Data Science Research Training (BIRT) Program)
U.S. Department of Health & Human Services | NIH | U.S. National Library of Medicine (T15LM007092)
Topics: Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
Keywords: digital health tools, implementation planning, enterprise adoption, clinical validation, workflow integration, implementation strategies

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Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation

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