Malaz Boustani1,2,3, Catherine A Alder2, Craig A Solid4. 1. Center for Health Innovation and Implementation Science, Indiana Clinical Translational Science Institute, Indiana University, Indianapolis, Indiana. 2. Sandra Eskenazi Center for Brain Care Innovation, Eskenazi Health, Indianapolis, Indiana. 3. Center for Aging Research, Regenstrief Institute, Inc., Indiana University, Indianapolis, Indiana. 4. Solid Research Group, LLC, St. Paul, Minnesota.
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.
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.
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