A Predictive Decision Analysis Tool for Risk Informed, Capital Investment Planning within the Department of Veterans Affairs
DOI:
https://doi.org/10.37266/ISER.2023v11i1-2.pp67-72Keywords:
Department of Veterans Affairs, Risk Assessment, Resource Allocation, Infrastructure ManagementAbstract
The Department of Veterans Affairs (VA) advances healthcare research and contributes to the Federal Response in the state of a national healthcare emergency while providing healthcare to veterans. The VA needs to maintain and improve accessible and safe healthcare infrastructure using risk-informed decision models. The VA relies on the Strategic Capital Investment Planning (SCIP) process to allocate resources but lacks predictive modeling. The Strategic Analysis and Risk Tool (START) creates a user-friendly interface to display environmental and veteran migration risk data, leveraging Power BI and Python. Our research presents a georeferenced risk assessment model that provides insights to regional and facility decision makers about these risks. This risk score helps SCIP decision makers allocate limited resources among VA facilities.
References
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