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  • Clinical analytics automation still requires the human touch

    Providers are stacking third-party clinical analytics providers' services on top of EHR systems to get more insight into patient population data.

  • 2014 ONC certification standards put pressure on EHR rollouts

    Many healthcare provider CIOs are struggling with two new EHR upgrades for 2014 ONC certification standards. With a deadline fast approaching for ICD-10, though, health IT professionals must integrate them best they can and move on to the second major upgrade of the year. Now, they're scrambling to ensure that their EHR rollouts aren't threatened. Adding to their concerns is the initiative for ICD-10 support -- a new diagnosis coding language that will be implemented nationwide Oct. 1, 2014.

    In the face of potentially huge disruptions to EHR rollouts, this issue of Pulse offers expert tips and strategy suggestions so healthcare IT pros can set the stage for success. Organizations ahead of the curve share insight and acumen gained firsthand in their journey to compliance. Readers will also get news and insight from healthcare IT professionals at the HIMSS 2014 conference and exposition in Orlando, Fla.

  • More effective data mining is best marketing for radiology departments

    Radiology departments trying to separate themselves from competitors should start by making better use of their data.

  • Clinical decision-making hinges on reliable analytics backups

    Many healthcare analytics professionals take backups for granted, not realizing their value until a backup failure cripples clinical decision-making.

  • EHR integration, quality improvement driving clinical decision support

    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.

  • Challenges remain for mining healthcare big data to patient benefits

    Healthcare big data could address many of the industry's problems -- if we could only agree on its definition.

  • Benefits, challenges of healthcare embedded analytics

    Organizations use decision support in many ways, but when providers have embedded analytics at the bedside, robust information helps deliver care.

  • A healthcare data analyst faces more sophisticated information needs

    Healthcare data is becoming more sophisticated and data analysts have to be aware of important principles before they are ready to use analytics.

  • Kaiser Permanente VP prescribes bigger role for healthcare data analytics

    Terhilda Garrido is at the head of a heightened effort by health system Kaiser Permanente to use analytics to improve its patient care delivery.

  • Quiz: The continued development of big data and healthcare analytics

    Are you using healthcare analytics to its full potential? Take this quiz to find out.

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