Agile Implementation: A Blueprint for Implementing Evidence-Based Healthcare Solutions

Malaz Boustani, Catherine A. Alder, Craig A. Solid

Research output: Contribution to journalArticle

9 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1372-1376
Number of pages5
JournalJournal of the American Geriatrics Society
Issue number7
StatePublished - Jul 2018


  • agile implementation
  • dementia
  • evidence-based care

ASJC Scopus subject areas

  • Geriatrics and Gerontology

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