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Chronic disease burden accounts for an estimated 75% of all healthcare costs and is often treated through a wide variety of highly specialized care delivered in silos of acute and primary care settings. Addressing this population of high medical needs requires sophisticated approaches for the measurement and monitoring of population health, morbidity burden and care patterns. A coordinated and effective care team can avert or minimize the negative outcomes often associated with chronic disease. Predictive modeling techniques can be used by health plans to appropriately stratify their population and to target the most effective intervention programs based upon a member’s risk profile. Predictive modeling can also be used to deliver targeted services to promote wellness and to help patients more effectively manage their own disease. |
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Attendees will be able to:
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Attendees would include:
Attendees would represent organizations including:
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co-sponsored by: Registration is Complimentary for qualified applicants. Applications will be accepted by the Summit sponsor according to their criteria. Applicants approved for registration will be notified by Summit within approximately seven business days of application or sooner. Click here to register. We look forward to your participation in this event! |
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