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

Abstract:

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.

journal_name

J Am Geriatr Soc

authors

Boustani M,Alder CA,Solid CA

doi

10.1111/jgs.15283

subject

Has Abstract

pub_date

2018-07-01 00:00:00

pages

1372-1376

issue

7

eissn

0002-8614

issn

1532-5415

journal_volume

66

pub_type

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