Agile implementation: a blueprint for implementing evidence‐based healthcare solutions
- Autores: Malaz Boustani, Catherine A. Alder, Craig A. Solid
- Localización: Journal of the American Geriatrics Society, ISSN 0002-8614, Vol. 66, Nº. 7, 2018, págs. 1372-1376
- Idioma: inglés
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Resumen
Objectives To describe the essential components of an Agile Implementation (AI) process, which rapidly and effectively implements evidence‐based healthcare solutions, and present a case study demonstrating its utility.
Design Case demonstration study.
Setting Integrated, safety net healthcare delivery system in Indianapolis.
Participants Interdisciplinary team of clinicians and administrators.
Measurements Reduction in dementia symptoms and caregiver burden; inpatient and outpatient care expenditures.
Results Implementation scientists were able to implement a collaborative care model for dementia care and sustain it for more than 9 years. The model was implemented and sustained by using the elements of the AI process: proactive surveillance and confirmation of clinical opportunities, selection of the right evidence‐based healthcare solution, localization (i.e., tailoring to the local environment) of the selected solution, development of an evaluation plan and performance feedback loop, development of a minimally standardized operation manual, and updating such manual annually.
Conclusion The AI process provides an effective model to implement and sustain evidence‐based healthcare solutions.
