System Dynamics Modeling Can be Leveraged to Predict Critical Care Pathways and Costs for End Stage Renal Disease: US Population to 2020
Uses systems dynamics modeling to simulate total expenses of ESRD treatments over time, providing clinicians and administrators with a greater understanding of combined costs across critical care pathways for a Medicare-intensive population.
This publication published in Journal of Health Economics and Outcomes Research represents peer-reviewed research in Renal Disease directly relevant to Aimwell’s evidence intelligence infrastructure. It contributes to the FHIN network’s knowledge base on Renal Disease and supports data-driven clinical decision making for Aimwell member organizations.
Source attribution: PubMed / NCBI · CrossRef
Retrieved: May 21, 2026
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