OVER 1 BILLION DATA POINTS. ONE MISSION.
For over 19 years, we’ve collected data from hospitals and health systems that can support your efforts to improve quality, decrease costs and ensure patient safety.
Applied Research and Analytics
Access administrative, healthcare utilization and financial data from over one billion individual inpatient and outpatient encounters over the last 20 years.
Provider and Patient Engagement
Engage directly with influential stakeholders to gather insights, foster peer-to-peer knowledge sharing and address business challenges.
Promote the adoption and integration of evidence-based practices, interventions and policies into routine healthcare and public health settings to help improve outcomes and the quality and effectiveness of care.
Prospective Research and Clinical Trials
Accelerate care alignment with evidence-based guidelines and best practices while working with our partners to enhance clinical performance, identify effective interventions and help improve patient outcomes.
Benefit from continuous, diverse educational offerings, including meetings, webinars, workshops, newsletters and customized education.
QUANTUM AF is addressing one of the most alarming gaps of care in U.S. healthcare. It is a first-of-its kind, multi-site Quality Improvement Collaborative, supported by a rigorous research methodology, engaging hospitals to improve care of AF patients at risk of stroke. The project approach could serve as a model for future quality improvement efforts.
Chris Granger, MD
QUANTUM AF Steering Committee Co-Chair, Duke University
Our team of Experts
Our seasoned team includes epidemiologists, health economists, health service researchers, clinicians, statisticians and other experts who all share one goal – helping you answer tomorrow’s healthcare questions.
Meet our experts and put our best-in-class, HIPAA-compliant database to work for you.
As your leading research and analytics partner, PINC AI™ Applied Sciences can help your organization improve the overall quality, safety and cost-effectiveness of care.