A Predictive and Scalable Capital Investment Risk Model (CIRM) for the Department of Veterans Affairs
DOI:
https://doi.org/10.37266/ISER.2025v12i2.pp95-100Keywords:
Risk Priority Number, ArcGIS, Risk CriteriaAbstract
The Department of Veterans Affairs (VA), Office of Construction and Facilities Management, is working towards providing a data-driven, risk-informed, capital investment information model to aid VA stakeholders in the allocation of funds and resources across the VA medical facility portfolio. The novel research methodology presented uses ArcGIS to provide a layered risk visual of the country using a unique multi-criteria additive risk model and compares the risk score against veteran satisfaction and facility condition assessments to understand the investment trade space. This output is the distinctive Capital Investment Risk Model (CIRM). Three main risk factors behind a county specific risk priority number metric include environmental risk, veteran demand, and resource allocations. The findings include insights into how the VA enterprise, and regional VA leaders might consider the next fiscal investment, understand its sensitivity, and predict future trends in the risk profile of each healthcare provider’s ability to serve its veterans.
References
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ChatGPT. Assistance given to the author, AI. ChatGPT aided in review to make sure it was clear and concise and was not repetitive, making sure it was in a scholarly tone. All content and analysis is original. West Point, NY, 11OCT2024.
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