Improve the quality of care through better measurement.
Measuring the quality of care is vital to improving health care. Measures can identify gaps in care and establish targets for success. But defining the best standards for measurement is challenging and requires system-wide consensus on what measures truly matter.
To help improve quality, OptumLabs® engages in projects with multiple partners aimed at developing and/or testing novel quality measures with our data. We believe quality measurement can meaningfully improve patient experiences in the transition to value-based care.
Measures program pillars: Create new measures to fill key gaps, develop
methods to improve measurement and identify high-value measures.
OptumLabs is tackling the development of quality measures for many conditions and types of practices in health care. Areas of current focus include: home-based medical care, glucose-lowering therapy, pain management and safety in anticoagulant use.
Our ability to convene diverse project teams, design and test concepts and apply machine learning and attribution modeling to complex and comprehensive data sets can benefit the system in many ways.
We are also a national CMS Qualified Entity, which gives us access to Medicare Fee for Service (FFS) data. We will report in new ways on existing quality measures using our data and Medicare FFS data, providing broader insights into the quality of care in the U.S.
The result? Measures that matter. Not just to those developing the measures, but to everyone.
Understanding complex health care data is crucial to extracting insights. We know how to ask the right questions and interpret the signals.– Darshak Sanghavi, MD, Chief Medical Officer and SVP Translation, OptumLabs
Quality measure development/testing
- American Academy of Hospice and Palliative Medicine
- Johns Hopkins Bloomberg School of Public Health
- Mayo Clinic
- Pharmacy Quality Alliance
- Physician Consortium for Performance Improvement (PCPI) Foundation
- University of California San Francisco
- University of Maryland, Baltimore
- Yale Center for Observational Research Evaluation