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Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
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Enabling Large-Scale Quality Improvement- and Accreditation Efforts The strong privacy posture offered by privacy-preserving, distributed analysis compared to direct data sharing makes it easier for healthcareproviders to participate in quality improvement efforts by lowering barriers to scalable quality benchmarking.
Ratings are based on three types of qualitymeasures: Measures of clinical quality from HEDIS and the Health Outcomes Survey (HOS). Measures of patient experience using the Consumer Assessment of HealthcareProviders and Systems (CAHPS ® ).
24:14): But to be able to do that, and this is also turning out to be a fundamental problem or enabler that we need to fix, is we need to be able to capture all of this, this outcome data and these experiences that patients are having, and then we need to measure that data and have some analytics to offer us insights into how we’re doing.
Building consensus among stakeholders on key care coordination metrics to track and addressing technology barriers to collecting this data can support system-wide care coordination qualitymeasurement. These measures are also included within the corresponding sections below. Family Experiences with Care Coordination (FECC).
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