Diffusion Of Innovations Theory, Principles, And Practice

Dearing, James W.; Cox, Jeffrey G.

doi:10.1377/hlthaff.2017.1104

Cited by 757Health Policy Implementation ScienceInnovation Diffusion and ForecastingHealthcare Policy and Management

Diffusion Of Innovations Theory, Principles, And Practice

Dearing, James W., Cox, Jeffrey G.·2018·Health Affairs

DOI 10.1377/hlthaff.2017.1104

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Abstract

Aspects of the research and practice paradigm known as the diffusion of innovations are applicable to the complex context of health care, for both explanatory and interventionist purposes. This article answers the question, "What is diffusion?" by identifying the parameters of diffusion processes: what they are, how they operate, and why worthy innovations in health care do not spread more rapidly. We clarify how the diffusion of innovations is related to processes of dissemination and implementation, sustainability, improvement activity, and scale-up, and we suggest the diffusion principles that can be readily used in the design of interventions.

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This rapid adoption across the delivery system is likely driven both by an expectation that generative AI will address burnout among clinicians and increase patient volume and social, institutional, and mimetic processes.
“This rapid adoption across the delivery system is likely driven both by an expectation that generative AI will address burnout among clinicians and increase patient volume and social, institutional, and mimetic processes.33,34”
From Uptake of Generative AI Integrated With Electronic Health Records in US Hospitals (2025) · cites this paper as [33]
From the perspective of innovation diffusion, the use of digital health interventions for NCD management in primary health care of LMICs could be classified as 'late majority' or even 'laggards' in some regions.
“From the perspective of innovation diffusion81, the use of digital health interventions for NCD management in primary health care of LMICs could be classified as “late majority” or even “laggards” in some regions”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [81]

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Authors: Dearing, J. W., & Cox, J. G.
Affiliations: Michigan State University (US)
ORCID: Dearing, James W.
Venue: Health Affairs
Publisher: Health Affairs Publishing, LLC
Published: 2018-02
Volume: 37
Issue: 2
Pages: 183-190
ISSN: 0278-2715 (ISSN-L)
1544-5208
DOI: 10.1377/hlthaff.2017.1104
OpenAlex: W2787575783
Semantic Scholar: c51cca517bacd0aeb780046843be80d73cde6311
Cited by: 757
References: 54
Citations by year: 2026: 95 · 2025: 133 · 2024: 133 · 2023: 125 · 2022: 114 · 2021: 85 · 2020: 40 · 2019: 23 · 2018: 6
FWCI: 58.80
Type: journal article
Language: en
Open access: closed
Locations: Health Affairs (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
Keywords: diffusion of innovations, healthcare innovation, diffusion, dissemination, implementation, sustainability, scale-up, intervention design
MeSH terms: Delivery of Health Care, Diffusion of Innovation, Health Plan Implementation, Humans, Organizational Innovation, Information Dissemination

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