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

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The Agile Implementation (AI) process effectively integrates evidence-based healthcare solutions. This case study shows AI successfully sustained a dementia care model for over 9 years, reducing symptoms and costs.

Keywords:
agile implementationdementiaevidence-based care

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Area of Science:

  • Healthcare implementation science
  • Evidence-based practice integration
  • Healthcare management

Background:

  • Implementing evidence-based healthcare solutions can be challenging.
  • Sustaining these solutions requires a structured approach.
  • The Agile Implementation (AI) process offers a framework for effective integration.

Purpose of the Study:

  • To outline the core components of the Agile Implementation (AI) process.
  • To demonstrate the utility of the AI process through a case study.
  • To highlight the successful implementation and long-term sustainability of a healthcare solution.

Main Methods:

  • A case demonstration study was conducted.
  • The study involved an interdisciplinary team in an integrated healthcare system.
  • The Agile Implementation (AI) process components were utilized.

Main Results:

  • The Agile Implementation (AI) process facilitated the implementation and sustained a collaborative care model for dementia care for over 9 years.
  • Key AI process elements included proactive surveillance, solution selection, localization, evaluation planning, and manual development/updating.
  • The implementation led to reduced dementia symptoms, caregiver burden, and healthcare expenditures.

Conclusions:

  • The Agile Implementation (AI) process is an effective model for implementing and sustaining evidence-based healthcare solutions.
  • The demonstrated case study highlights the long-term benefits and feasibility of the AI process.
  • This approach can improve patient outcomes and healthcare system efficiency.