Session ID: 
55

Closing Population Healthcare Gaps Through Analytics

1:30pm - 2:30pm Tuesday, March 10
Orlando - Orange County Convention Center
W414A

Description

Lack of real-time, actionable data leaves many organizations struggling to measure the effectiveness of population health improvements. For example, data available to the University of Texas Medical Branch (UTMB Health), a safety net organization with 125,000 Medicaid patients, was often typically delayed, at least six weeks, slowing the improvement process. The data also did not convey the scope of potential opportunities, hindering chances for improvement on Delivery System Reform Incentive Payment (DSRIP), a value-based care payment reimbursement model program for Medicaid and low-income uninsured patients. With the help of data analytics, UTMB Health was able to focus on improvement efforts for these populations and boost reimbursement based on DSRIP performance. UTMB Health also earned $2.1 million in pay-for-performance dollars, achieved after the analytics application was implemented and demonstrated improvement on 23 of 32 performance measures—nearly 72 percent.

Learning Objectives

  • Recognize the challenges in improving clinical outcomes and lowering care costs among a population of Medicaid beneficiaries and uninsured patients
  • Explain how access to real-time, actionable data enables providers to design and implement effective clinical interventions
  • Describe the provider workflow changes that need to occur to ensure complete data is captured and analyzed to deliver accurate insight

Speaker(s)

Associate Vice President, Community and Population Health ,
University of Texas Medical Branch

Continuing Education Credits

ABPM
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience

CMIO/CMO
Management Engineer and Process Improvement Prof.
Population Health Management Professional

Level

Intermediate