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Measure Twice, Change Once: Using Simulation to Support Change Management in Rural Healthcare Delivery.

Clair Reynolds Kueny¹, Alex Price², Casey Canfield¹

¹a Missouri University of Science & Technology, USA.

Advances in Health Care Management

|January 23, 2024

Summary

Rural healthcare systems face challenges managing change due to resource shortages. Socio-technical simulation models can assess feasibility and guide change management for improved healthcare delivery.

Keywords:

Rural healthcare case study change management radiation oncology simulation modeling systems thinking

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Area of Science:

Healthcare Management
Systems Engineering
Health Services Research

Background:

Rural healthcare systems confront significant barriers, including resource shortages and provider retention issues.
Implementing change initiatives in resource-limited rural settings presents complex management challenges.
Assessing the feasibility and impact of changes is crucial for successful healthcare system adaptation.

Purpose of the Study:

To present a framework integrating systems engineering modeling and simulation into rural healthcare change management.
To demonstrate how simulation can estimate techno-economic and socio-utility feasibility of healthcare innovations.
To guide decision-making and validate change strategies in rural health organizations.

Main Methods:

Utilizing socio-technical simulation models to evaluate the feasibility of healthcare changes.
Integrating modeling and simulation techniques within a structured change management process.
Applying simulation to assess uncertainty, guide scenario planning, and validate real-world processes.

Main Results:

Simulation modeling provides a method to estimate the techno-economic and socio-utility feasibility of proposed changes.
Simulation results inform critical change management recommendations, including readiness and resistance strategies.
A case study on implementing a mobile radiation oncology unit demonstrated the practical application of simulation for feasibility and resistance assessment.

Conclusions:

Modeling and simulation offer a valuable approach for rural healthcare systems to navigate change management challenges.
Integrating simulation into change management can reduce risks and enhance the likelihood of successful implementation.
This framework supports evidence-based decision-making for improving healthcare access and delivery in rural areas.