July 2024: Preview Period Webinar for Payment Year 2025

(Tue, July 16th 2024, 2:00 pm ET)

CMS Identity Mark and EQRS OCT logo set on a blue background


PY 2025 ESRD QIP

Preview Period Webinar 

July 16, 2024, from 2-3:30PM ET 

 

Featuring: 

  • Summary of the Payment Year 2025 Preview Period
  • What’s New in PY 2025
  • How to Access ESRD QIP Preview Period Reports
  • How to Submit Inquiries during Preview Period
  • Important Date and Deadline Reminders

 


Session CompleteEvent Downloads: Slides Recording Q&A Transcript

    Presenters

  • Alissa Kapke, MS

    Ms. Kapke provides support for the Health Policy and Practice Program area of Arbor Research. Presently she is the Project Director on the End-Stage Renal Disease Quality Programs Support (ESRD QPS) project, which provides validation of final ESRD Quality Incentive Program (QIP) performance scores and payment reductions for over 7,500 Medicare-certified dialysis facilities in the United States, help desk support during the ESRD QIP preview period, and analytic support for the ESRD Prospective Payment System proposed and final rules, published yearly in the Federal Register. The QPS team also provides training materials and webinars for the ESRD QIP and ESRD Quality Reporting System (EQRS). Ms. Kapke received an MS in Biostatistics from the University of Michigan in 1996. Prior to joining Arbor Research in 2010, Ms. Kapke was a biostatistician at Henry Ford Hospital for ten years where she was funded on several National Institutes of Health grants in areas of cancer, stroke, and Parkinson’s disease research. She also was a consulting statistician to physicians and residents at Henry Ford Hospital and served as a statistician on the hospital’s Institutional Review Board from 2007-2009. Ms. Kapke has co-authored several papers accepted for publication in peer-reviewed journals and contributed to many abstracts presented at major scientific meetings. 

  • Steve Hines, PhD

    Dr. Hines is a Senior Research Scientist at Arbor Research with more than 30 years of professional experience in process improvement and health services research, with a special focus on healthcare quality improvement, applied quality measurement, the creation and dissemination of quality improvement resources and tools. He has expertise in applied quality measurement, quantitative and qualitative data analysis, report writing, and the development of large-scale improvement campaigns. Prior to joining Arbor Research, LLC, Dr. Hines served as a Principal Associate at Abt Associates, where he functioned as the learning lead for an AHRQ-funded initiative to expand participation in cardiac rehabilitation programs and led the updating of TeamSTEPPS, an AHRQ-funded communication and teamwork training curriculum. At IMPAQ International, Dr. Hines led a national project to prepare providers in small, underserved, and rural practices for the transition to the new CMS Quality Payment Program. He also led multiple national improvement initiatives funded by AHRQ and CMS while working at the American Hospital Association.

  • Nan Ji, MS

    Ms. Ji is a Senior Research Analyst at Arbor Research Collaborative for Health with over nine years of experience working on data analysis in healthcare area. She holds an MS degree in Statistics from the University of Toledo (UT). She is currently providing analytical support for the End-Stage Renal Disease (ESRD) Quality Incentive Program (QIP) project, which includes performing validation of performance scores and payment reductions for dialysis facilities, answering facilities’ inquiries during the annual preview period, and conducting statistical analyses for the ESRD QIP Final Rules. Previously she also contributed to the production of the Annual Data Report (ADR) of the United States Renal Data System (USRDS), funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) and the National Institutes of Health (NIH), as well as the Home Health Value-Based Purchasing (HHVBP) Program funded by the Centers for Medicare and Medicaid Services (CMS).