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VA Innovation Center - achieving the impossible to enable VA to do more, better

Enhancing VA’s ability to serve Veterans and taxpayers

VA Innovation Center (VIC) is establishing programs to ensure the success of
innovation initiatives authorized by VA MISSION Act, Section 152. 1703E.

Care and Payment Innovation

Mission Act Section 152 1703E

Developing innovative approaches to testing payment and service delivery models in order to reduce expenditures while preserving or enhancing the quality of care furnished by the department.

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The VA Innovation Center (VIC) focuses on developing and piloting care and payment innovation initiatives authorized by MISSION Act, Sec. 152. The Care and Payment Innovation (CPI) initiatives will be designed to test payment and service delivery models in order to reduce expenditures while preserving or enhancing the quality of care furnished by the Department.

To support CPI, VIC will facilitate root cause analysis engagements with leaders across VA enterprise to evaluate and prioritize issues that could be resolved by sustaining or disruptive innovation. Also, VIC will convene subject matter experts and multi-disciplinary teams to use collective problem-solving capabilities to develop solutions for VA and Veterans’ challenges. Additional methods will pursue public-private partnerships and open innovation through Crowdsourcing and challenge-style competitions for solution development.

Finally, VIC fosters and supports innovation by contributing to and aligning to other VA initiatives. All CPI models and VA initiatives will be assessed on their effect on improving access to, and quality, timeliness, and patient satisfaction of care and services while creating cost savings for the Department. All initiatives will utilize internal measurement and evaluation services to analyze the quality, access to care furnished, and the changes in spending attributable to the model. These methods will use randomized controlled trial when feasible and utilizes reliable data sources and metrics to identify causal inferences in the models tested.

Page last updated on October 16, 2020