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Improvement in the care delivery process begins at the bedside, and for that to happen providers must implement and use more decision-support tools for better diagnosing and outcomes. Providers are interested in these tools, but HIPAA concerns, a lack of readily accessible, robust data and little awareness around how to integrate tools into electronic systems are obstacles to widespread adoption.
Still, some hospitals and doctors are making definitive strides in healthcare analytics. In this handbook, gain an understanding of the intersection of analytics and quality improvement, how privacy rules fit into predictive analytics and how specialists who are integrating their decision-support practices with primary caregivers are creating more effective use of resources. Access >>>
Table of contents
- All together now: Improve quality of care, analyze clinical data
- HIPAA clouds the future for predictive analytics
- Actionable info in EHRs boosts clinical performance
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