7 ways to use MIPS data and scores to change your 2018 success strategy

Why This Topic Matters

MIPS scores affect future payment adjustments and performance opportunities, so understanding feedback data can help practices identify areas to strengthen before the next attestation cycle. The article is relevant for organizations trying to improve reporting outcomes, align clinical workflows, and better manage quality and cost performance.

Article Sections

1. MIPS preliminary performance feedback and 2018 planning

   Introduces the availability of performance feedback data and explains how practices are using it to reassess their MIPS approach for the next cycle. It also places the discussion in the broader Quality Payment Program context.

2. Optimize your use of data these 7 ways

   Presents the article’s main guidance theme: using available performance information to identify opportunities for improvement across reporting, workflow, and practice management.

3. Work the benchmarks

   Discusses the role of benchmarked quality measures and national performance distribution in identifying potential score improvement opportunities.

4. Don’t report everybody

   Explains how reporting populations and measure-level selection can affect MIPS submissions, including the importance of choosing which patient data are included across measures.

5. Explore QCDR measures

   Describes the role of qualified clinical data registries in offering specialty-specific measures and developing additional reporting options for practices.

6. Get proactive

   Focuses on workflow and patient-adherence issues that can influence measure performance and the value of planning interventions ahead of future reporting periods.

7. Get the team on board

   Highlights the importance of involving clinical and financial staff in improvement efforts and communicating performance results across the practice.

8. Think about cost

   Covers cost-performance considerations within MIPS and encourages practices to examine spending patterns and care patterns that may affect total cost measures.