What factors drive outcomes of care?
The expansion of the amount and level of detail in health care data offers a new resource for deeper understanding. As providers are asked to capture and publicly report on multiple quality measures, however, tracking and making sense of the data can be daunting. Today, individual health care providers and systems have yet to systematically tap into this vast store of information to uncover meaningful insights.
The Institute studies the relationships in performance data across measures as well as drills down into the most granular level of detail to better understand the information and develop knowledge: How do measures relate to each other? What are the interrelationships of quality metrics and key organizational characteristics, patient characteristics and practices? What relationships in the data bring insight to identify and drive performance on these metrics? Are we measuring the right things?
Our research framework builds on the classic Donabedian typology to consider interrelationships among aspects of structure, process and outcomes.
Our projects focus on analyzing the relationships between: