A Data-Driven Approach to Surviving Value-Based Care
June 26, 2018
The landscape of healthcare payment is shifting from volume to value-based models. New reimbursement policies reward quality improvements, better outcomes and cost control. This all began with the Medicare Access and CHIP Reauthorization Act, and other payers are following Medicare’s lead.
This tectonic shift in payment models means that healthcare organizations need to gather and use data differently. Value-based care (VBC) requires organizations to build outcomes-based financial models and data infrastructure. Failing to do so jeopardizes an organization’s reimbursements which can negatively affect growth and ability to achieve and maintain competitive advantage.
If data is to be used to both support day-to-day operations and also drive the transformation to value, it must be more than just data - it must be actionable information. That requires that data be captured, managed, analyzed and presented in a manner that reveals insights, streamlines processes, and creates efficiencies for team members across the enterprise.
View this webinar to:
Understand how VBC is forcing health care organizations to implement population health management and other third-party analytic solutions to support outcomes-based reimbursement models
Learn how organizations often fail to understand the challenges of provisioning clean data to these solutions in a timely manner – yes, a vendor might offer a 3-to-6-month solution implementation schedule, but if there isn’t already a mature data governance foundation, that timeline means nothing
See examples of how data profiling helps determine an organization’s readiness to implement an analytic solution by proactively identifying data quality issues in source systems, ensuring reasonable expectations are established regarding the implementation timeline
Learn common mistakes healthcare organizations make, ranging from not performing data profiling at all to utilizing complex, error-prone and time-consuming SQL queries performed by IT staff
Receive insight on how data profiling tools allow business and clinical subject matter experts to identify data quality issues with little to no IT support
Understand the critical importance of establishing data governance roles, responsibilities and workflows
John Walton is a CTG Client Solution Architect and consulting professional with more than 35 years of IT experience spanning multiple disciplines and industries. He has more than 20 years of experience leading data warehousing, business intelligence, and data governance engagements. He has extensive experience working with a broad range of healthcare and life sciences organizations including IDNs, national healthcare payers, regional HMOs, a global pharmaceutical company, academic medical centers, community, and pediatric hospitals.
Jeanette Ball, BSN RN, PCMH CCE
Client Solution Executive
Jeanette Ball brings extensive clinical, population health and healthcare administrative background to CTG. As a Client Solution Executive and Registered Nurse, she has more than 30 years of experience in the healthcare industry, including a 10-year history of outpatient medical center executive administration, and more than 10 years as a senior consultant in clinical application design, population health strategies and overall health system preparation for responding to health care reform and value based care. During her tenure at CTG, Jeanette has worked on groundbreaking RHIO development, and has assisted dozens of ambulatory practices with PCMH recognition, and practice workflow efficiencies for improving health outcomes. She is a NCQA PCMH Certified Content Expert, receiving her recognition in May 2013, as one of the first 100 PCMH certified content experts in the nation.