More risk, better data

Premier explains how healthcare providers need data and analytics on targeted patient populations in order for risk-based payment models to be successful. 

 Editor's  Note: This article originally appeared on Premier's website. 

Robust and timely information on the performance of targeted patient populations is critical to success in risk-based payment models. Healthcare providers depend on their data and analytics technologies to be able to coordinate and synchronize care across the continuum, identify what’s working well in care delivery and what needs improvement, and design and target interventions to improve outcomes and lower costs. Data and analytics are a foundational capability of effective population health management, and population health management is central to value-based payment.

These needs only intensify as organizations take on more risk, and there’s no question that the industry is headed this way.

The IT roadmap: Key priority areas

For providers that are engaged in any value-based payment agreement, especially a risk-bearing model, following a roadmap will make best use of limited IT resources for the biggest impact on performance.

It should include four key components:

1. Claims analytics and benchmarking to prioritize high-level areas of opportunity
2. Risk-stratify patients and target care to address high risk patients
3. Determine interventions and build them into clinical workflow to close gaps in care
4. Regular monitoring of progress and feedback to providers   

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