
Patrick Kasarski enhanced the CMSgov/qpp-measures-data repository by engineering robust data pipelines and benchmark frameworks to support healthcare performance analytics. Over six months, he delivered features such as historical benchmark datasets in JSON and CSV, YAML-based schema definitions, and performance benchmarking structures for multiple reporting years. Using Python and Java, Patrick focused on data modeling, validation, and formatting to ensure accuracy and consistency across evolving healthcare metrics. His work included integrating new CAHPS metrics, refining measure configurations, and aligning data for reliable reporting. These contributions established scalable foundations for analytics, improved data integrity, and enabled data-driven decision-making for stakeholders.

January 2026 monthly summary for CMSgov/qpp-measures-data: delivered CAHPS metrics and updated 2026 benchmark performance metrics, fixed/validated data pipelines, and improved data accuracy for healthcare quality measures. Highlights include new CAHPS metrics integration, updated measures load with status adjustments, and reruns to validate changes for stable stakeholder reporting.
January 2026 monthly summary for CMSgov/qpp-measures-data: delivered CAHPS metrics and updated 2026 benchmark performance metrics, fixed/validated data pipelines, and improved data accuracy for healthcare quality measures. Highlights include new CAHPS metrics integration, updated measures load with status adjustments, and reruns to validate changes for stable stakeholder reporting.
Month: 2025-12. Repository: CMSgov/qpp-measures-data. This period delivered the historical performance benchmark data for 2026 as a new JSON file, enabling analysts and systems to compare performance measures across submission methods for planning and reporting in 2026. The work aligns with QPPSE-4797 and was committed as a single change set.
Month: 2025-12. Repository: CMSgov/qpp-measures-data. This period delivered the historical performance benchmark data for 2026 as a new JSON file, enabling analysts and systems to compare performance measures across submission methods for planning and reporting in 2026. The work aligns with QPPSE-4797 and was committed as a single change set.
May 2025 monthly summary focusing on performance-oriented delivery for the PY24 cycle. Delivered foundational capability to measure and compare performance for PY24 within the CMSgov/qpp-measures-data repository, establishing a scalable framework and data structures to support ongoing performance optimization. This work enables data-driven decisions and early detection of regressions as PY24 measures evolve.
May 2025 monthly summary focusing on performance-oriented delivery for the PY24 cycle. Delivered foundational capability to measure and compare performance for PY24 within the CMSgov/qpp-measures-data repository, establishing a scalable framework and data structures to support ongoing performance optimization. This work enables data-driven decisions and early detection of regressions as PY24 measures evolve.
March 2025 monthly summary for CMSgov/qpp-measures-data focused on data quality and benchmark integrity. Delivered a targeted bug fix to ensure benchmarks.csv reflects accurate data, reducing skew in performance analytics and supporting reliable decision-making across measures data stewardship. All work aligned with business value, data hygiene, and traceability, with clear documentation of changes and commits to enable future data-quality initiatives.
March 2025 monthly summary for CMSgov/qpp-measures-data focused on data quality and benchmark integrity. Delivered a targeted bug fix to ensure benchmarks.csv reflects accurate data, reducing skew in performance analytics and supporting reliable decision-making across measures data stewardship. All work aligned with business value, data hygiene, and traceability, with clear documentation of changes and commits to enable future data-quality initiatives.
Monthly summary for 2025-01 focusing on CMSgov/qpp-measures-data: delivered PY24 single-rate configuration, cleaned staging benchmark data, and aligned measures sets for PY25 HB; fixed formatting defects to ensure reliable parsing and display; overall improvements in data integrity, reporting accuracy, and maintainability.
Monthly summary for 2025-01 focusing on CMSgov/qpp-measures-data: delivered PY24 single-rate configuration, cleaned staging benchmark data, and aligned measures sets for PY25 HB; fixed formatting defects to ensure reliable parsing and display; overall improvements in data integrity, reporting accuracy, and maintainability.
December 2024: Delivered key Benchmark Data improvements for the CMSgov/qpp-measures-data project, enabling robust 2024/2025 benchmarking and reliable reporting. Introduced a YAML-based benchmark data schema, populated a benchmarks CSV, and added historical benchmark data for 2025 (PY25) including an exclusion reasons schema and 2024/2025 percentiles descriptions with formatting cleanup. Also applied data accuracy improvements and formatting alignment across benchmarks, notably for measure 113. These changes improve data reliability, support 2025 benchmarking, and lay groundwork for scalable analytics and data-informed decision making.
December 2024: Delivered key Benchmark Data improvements for the CMSgov/qpp-measures-data project, enabling robust 2024/2025 benchmarking and reliable reporting. Introduced a YAML-based benchmark data schema, populated a benchmarks CSV, and added historical benchmark data for 2025 (PY25) including an exclusion reasons schema and 2024/2025 percentiles descriptions with formatting cleanup. Also applied data accuracy improvements and formatting alignment across benchmarks, notably for measure 113. These changes improve data reliability, support 2025 benchmarking, and lay groundwork for scalable analytics and data-informed decision making.
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