11:15 am-12:15 pm
Room: 226 ABC North

Preventing Paralysis by Analysis: Staying Focused on Outcomes that Matter
Presenter: Ishani Ved, MHA CPHQ

This session is intended to inform participants of the history of CMS value based metrics, the star rating, and the well published opposition opinions to oversimplication of these value-based measures in an attempt to rate hospitals based on quality. Additionally, the presentation will share how Saint Peter's has used predictive modeling to forecast financial impact of value-based programs and how we decided to focus on key metrics rather than all available metrics as part of our goal setting and strategic planning for the institution. Participants will be able to apply our predictive modeling strategies to their own institutions as well as better inform their teams about how to set meaningful quality and performance improvement goals by navigating away from the 'noise' that a plethora of measures create.

Learning Objectives:

  • How to forecast readmissions penalties based on CMS data to help forecast financial impact and allocate resources accordingly
  • Learn about the controversy at the national level about CMS having too many measures, and that some measures are proven to not be indicative of true quality. This includes opinions by key players such as the AHA, Harvard scholar Ashish Jha, etc.
  • Decide which measures are important for your system to focus on based on key service lines and strategic goals

I am a highly motivated quality professional and is always looking to expand the knowledge base in my organization about leadership, performance improvement analytics, quality management and prioritization strategy. I am the team leader of our health system's leadership development team, the youngest director in the health system, and will be a part of the New Jersey Hospital Association and Medical Society of NJ's Healthcare Executive Leadership Academy class of 2019. My undergraduate studies in public health, epidemiology, public health preparedness and economics uniquely prepared me for a role such as mine. I continued on to earn my master's in healthcare administration from Seton Hall University, which helped move my career from population health and analytics in to a more traditional quality and performance improvement role. In the last five years, I have moved from being a staff member in the decision support and quality department to leading the quality management efforts for the healthcare system. I have spent time studying ways to predict financial impact of CMS and other value based programs, and set priorities for our health system based on publicly reported metrics and internal scorecards. I look forward to sharing our successes and framework with a larger audience of my peers.

Audience Level: CPHQ/Mid
Topic: Health Data Analytics
Date: September 16