Developing Pathology Measures for the Quality Payment Program-Part II: Overcoming Challenges With Data Capture to Maximize Reimbursement.

Journal Article (Journal Article)

CONTEXT.—: Quality measures are a cornerstone in measuring physicians' performance within the Centers for Medicare & Medicaid Services' Quality Payment Program (QPP). Clinicians' performance on quality measures and other categories within the QPP determines Medicare part B payment adjustments. Driven by evidence-based clinical practice guidelines, quality measures should focus on high-priority facets of health care, support a desired patient outcome, and address an area with evidence of a gap or variation in provider performance. OBJECTIVE.—: To meet the goals of the QPP, a broad array of quality measures must be developed that allows pathologists the flexibility to choose activities and measures most meaningful to their practice and patient population while also trying to mitigate the challenges of implementation and data collection. DESIGN.—: In this second manuscript of the series, we present the development of additional College of American Pathologists-developed quality payment measures for use in the QPP. We also discuss the relationship of quality measure reporting with reimbursement and the challenges with capturing data for quality reporting. RESULTS.—: The College of American Pathologists identified 23 new measures for quality performance reporting that reflect rigorous clinical evidence and address areas in need of performance improvement. CONCLUSIONS.—: Development of quality measures is a necessary and ongoing effort within the College of American Pathologists. Increased awareness about pathology-specific issues in measure development and reporting is essential to ensuring pathology's ability to demonstrate value and meaningfully participate in the QPP.

Full Text

Duke Authors

Cited Authors

  • Kelley, J; Patil, P; Kennedy, A; Singh, L; Peditto, S; Cardona, DM

Published Date

  • June 2020

Published In

Volume / Issue

  • 144 / 6

Start / End Page

  • 697 - 705

PubMed ID

  • 32459532

Electronic International Standard Serial Number (EISSN)

  • 1543-2165

Digital Object Identifier (DOI)

  • 10.5858/arpa.2019-0378-OA

Language

  • eng

Conference Location

  • United States