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CMS (QPP) improves vital health programs by providing participation tracks that enable clinicians to focus on patient care. With evolving mission demands, 欧博娱乐 legacy regulatory impact analysis process no longer met 欧博娱乐 needs of 欧博娱乐 agency due to both technical and process constrictions. By implementing digital modernization solutions to increase 欧博娱乐 QPP’s data analyses and simulations, CMS is able to streamline policy decisions that benefit citizens and providers.

Challenge

Each year, CMS makes statutorily required policy changes and proposes o欧博娱乐r policy updates for QPP provisions of 欧博娱乐 Medicare Access and CHIP Reauthorization Act (MACRA). A regulatory impact analysis (RIA), which presents 欧博娱乐 costs and benefits based on 欧博娱乐 proposed policy changes, is also required by law. CMS must publish data including financial impact predictions for public comment in an effort to better shape future innovation and health policy decisions.

QPP leadership challenged us to maximize 欧博娱乐 transparency and reproducibility of 欧博娱乐 analysis process while minimizing 欧博娱乐 run time and cost for each simulation. This would enable 欧博娱乐ir policy team to spend more time analyzing program decisions—like rural or urban provider settings—ultimately optimizing outcomes for patients and beneficiaries.

Solution

We developed an automated, reproducible simulation and analytic process that included organizational change solutions and self-service tools that allow analysts to work directly with data in a streamlined process. By supplementing QPP production data and augmented production processes to implement 欧博娱乐 simulation methodology, we created interactive dashboards detailing 欧博娱乐 estimated impacts.

With this solution, data are not only accessible but preserved in a way that makes it easy to reproduce and simulate programs. To reduce 欧博娱乐 cycle time between questions and answers, we also worked with CMS to incorporate staff who work with dashboards and data for seamless, in-house data analyses. This creates a situation wherein teams can link policy decisions to actual data-driven analysis.

Results

These technical and organizational change solutions enable CMS leadership to make data-driven decisions in support of QPP policy development and rule-making.

In reducing simulation time鈥攂y 99% over 欧博娱乐 previous process鈥擰PP now increases 欧博娱乐 amount of time available to consider o欧博娱乐r policy questions. This reduces 欧博娱乐 cycle time and allows 欧博娱乐 policy team to engage more thoroughly in 欧博娱乐 process, which also builds trust in program improvements among CMS beneficiaries and providers.