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Metrics and Analytics - Measuring Quality
Using Metrics to Measure Data and Analytics
As evidence-based healthcare moves forward, the importance of metrics to measure data and analytics to decode it will become increasingly important. Spurred by provisions in the Patient Protection and Affordable Care Act, metrics and analytics are also the lifeblood of population health and provide vital pieces of information for consumer-patients as they search for the healthcare providers and services that best fit their clinical and financial needs.
But how many metrics is too many? In this latest report, we examine the world of healthcare analytics and metrics, looking at developing trends and asking what they mean for the future of healthcare.
You’ll learn proven strategies for success and find out answers to key strategic questions, including:
- Which best practices did CO- based Catholic Health Initiatives identify in order to improve reporting, decrease variation, and find a "single source of truth?"
- How is consumerization changing the metrics game, and which measurements do hospitals and health systems need to be aware of?
- Why, in an age of increased metrics, the Indiana University Health System has chosen to cut the number of quality metrics they measure.
Featured content includes:
- Developing Common Data Standards
- Move to Refine Quality Measures Gaining Momentum
- Consumerization Drives New Metrics
- Bringing Factory Thinking to Healthcare
- How Data Analytics Can Help Lead ACOs to Success
- Primary Care Docs Pan Hospital Quality Metrics
- Does Measuring Quality Really Ensure Patient Safety?
- Q & A
- Fewer Quality Metrics, More Infection Preventionists, Less Harm
- CASE STUDY
- Analytics Project Supports ACO Goals of Reduced Costs, Improved Outcomes
- FEATURED REPORT