Using Natural Language Processing to Achieve HEDIS...
Using Natural Language Processing to Achieve HEDIS Year-Round Review
In 2018, UPMC Health Plan set a strategic goal to move to prospective, year-round HEDIS review for hybrid measures, across Medicare, Medicaid and SNP business lines. To support this strategic goal, the UPMC Health Plan Quality team worked with technology innovators at UPMC Enterprises to apply Natural Language Processing to HEDIS hybrid abstraction. Working together, UPMC teams developed a unique technology platform that markedly increases abstractor efficiency in closing gaps. The system is currently in production use at UPMC Health Plan across 12 measures and 3 lines of business. This course discusses the use of natural language processing for HEDIS, as well as lessons learned after introducing NLP into real-world HEDIS workflows.
- Understand how natural learning processing can support HEDIS operations.
- Learn how UPMC implemented and supported its year-round review of HEDIS processes using an innovative technology platform.
Click here to access the Quality Innovation Series registration page to register or review the full course content.
Director, Quality Improvement
UPMC Health Plan
In support of improving patient care, the National Committee for Quality Assurance is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), the American Nurses Credentialing Center (ANCC), the American Academy of Physician Assistants (AAPA), the American Psychological Association (APA), and the Association of Social Work Boards (ASWB) to provide Interprofessional Continuing Education for the healthcare team.
This educational activity is approved for a maximum of 1.0 AMA PRA Category 1 Credit™.
This educational activity is approved for 1.0 nursing contact hours.*
This live course grants 1.0 Continuing Education Unit (CEU) points for PCMH Certified Content Experts.
* Please note – You must attend the entire program to be eligible for total number of contact hours.
- 1.00 AMA PRA Category 1 Credit™
- 1.00 ANCC
- 0.00 Participation
- 1.00 PCMH CCE