Predictive Analytics: Reducing Readmissions and Hospitalizations - On-Demand

Quick Overview

Presented on: October 28, 2013
Presented by: Pamela Peele, PhD and Christine Vanzandbergen, MPH, MS PA-C

Clinical decision support experts reveal how they powered predictive analytics to reduce readmissions, improve care, and reduce financial risk.

Availability: In stock

Pubcode: YK102813D
Price: $279

Predictive Analytics: Reducing Readmissions and Hospitalizations

Available ON-DEMAND

The road to accountable care runs through analytics technology. With the right predictive model, providers can effectively slash readmissions and improve patient outcomes by determining which patients are most likely to require hospitalizations, and coordinating care services accordingly.

Join clinical decision support experts from Penn Medicine and University of Pittsburgh Medical Center as they outline how to engineer best-in-class predictive models for population health and financial risk management.

At the conclusion of this program, participants will be able to:

  • Understand the resource requirements to build an integrated clinical analytics  team
  • Learn how to brand your analytics and communicate data so it can be understood by the comprising organization
  • Determine the pros and cons of building a model internally vs. outsourcing to a vendor
  • Cut readmissions and hospitalizations by identifying risk factors


Agenda

  • What can predictive analytics do for you?
    • Reducing readmissions
    • Predicting high utilizations
  • Level setting: Where is everybody today?
  • Where do you start/how do you continue?
    • Internal education and communication
    • Staffing
    • Budget challenges
    • Processes and documentation, including data governance
  • Managing expectations: how quickly this can work?
    • Timelines
    • Decisions in outsourcing


Meet the Speakers

Pamela Peele, PhD

Pamela Peele, PhD, is the chief analytics officer of the UPMC Insurance Services Division. Peele brings 13 years of patient care experience along with 12 years of academic research experience to her position as the leader of health care analytics at the Health Plan. She is responsible for data analytic activities, economic modeling, predictive modeling, and statistical analysis. Her work focuses on the application of economic and statistical models to improve the health and welfare of our members. Peele currently holds faculty appointments in Health Policy & Management and in Psychiatry in the School of Medicine at the University of Pittsburgh. She is core faculty at the Center for Research on Health Care at the University of Pittsburgh Medical Center and an elected fellow of the Centre for Interuniversity Research and Analysis on Organizations in Montreal, Canada.

Christine Vanzandbergen, MPH, MS PA-C

Christine VanZandbergen, MPH, MS, PA-C, is the clinical decision support officer at Penn Medicine, a $4.3 billion health care provider organization consisting of over 2,000 physicians providing services to the Hospital of the University of Pennsylvania, Penn Presbyterian Medical Center, Pennsylvania Hospital and the health system network that serves the city of Philadelphia, the surrounding five county area and parts of southern New Jersey. VanZandbergen joined Penn Medicine in June, 2002 as a Cardiac Surgery Physician Assistant and is currently responsible for oversight of all Clinical Decision Support tools from the ideation process, through pilot, and deployment across the health system in a multi-system EHR. She continues her clinical practice in cardiac surgery at Pennsylvania Hospital.


Who Should Attend?

CIOs, VPs of IT, physician leaders, COOs, CSOs, CBOs