Modeling of Whole Genomic Sequencing Implementation using System Dynamics and Game Theory

TL;DR

This paper uses System Dynamics and Game Theory models to evaluate the clinical, economic, and organizational aspects of implementing Whole Genome Sequencing in oncology diagnostics.

Contribution

It introduces a combined modeling approach to assess the timing, cost, and accessibility of WGS implementation in healthcare settings.

Findings

WGS implementation timing impacts diagnosis time and costs.

Models help identify optimal strategies for WGS adoption.

Economic and clinical benefits vary with implementation scenarios.

Abstract

Biomarker testing is a laboratory test in oncology that is used in the selection of targeted cancer treatments and helping to avoid ineffective treatments. There exist several types of biomarker tests that can be used to detect the presence of particular mutations or variation in gene expression. Whole Genome Sequencing (WGS) is a biomarker test for analyzing the entire genome. WGS can provide more comprehensive diagnostic information, but it is also more expensive than other tests. In this study, System Dynamics and Game Theoretic models are employed to evaluate scenarios, and facilitate organizational decision making regarding WGS implementation. These models evaluate the clinical and economic value of WGS as well as its affordability and accessibility. The evaluated scenarios have covered the timing of implementing WGS using time to diagnosis and total cost.