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Managing Medicaid Patients with Physical and Behavioral Health Dual Diagnoses through Advanced Analytics
 
Overview
Managing Medicaid Patients with Physical and Behavioral Health Dual Diagnoses through Advanced Analytics

Learn about how advances in analytic tools help state Medicaid agencies and Medicaid health plans manage the costs of patients with dual physical-behavioral health diagnoses.

Medicaid patients with complex needs drive the majority of state Medicaid spending: 4% of Medicaid beneficiaries account for 50% of state Medicaid spending and 15% of beneficiaries account for 75% of state Medicaid spending. A large portion of these high-cost Medicaid patients have both physical and behavioral health diagnoses. Examples include patients with chronic medical conditions like diabetes or heart disease who also have a behavioral health condition, such as bipolar disorder or depression.

Dual physical-behavioral diagnoses dramatically increase the need for and the benefits of care management and patient engagement. Unfortunately, most clinicians and other decision makers lack the information needed to manage this complex, high-cost population effectively. They are awash in data but lack timely, actionable information on patient’s conditions and needs. For example, absent the right tools, physicians are often unaware of all of a patient’s co-morbidities or treatment, particularly for behavioral health diagnoses.

Medicaid expansion makes use of advanced analytical tools critically important. Under the Affordable Care Act, Medicaid enrollment will increase by 24 million, according to new estimates by the Centers for Medicare and Medicaid Services (CMS). All these new enrollees are adults under 65, many of whom have untreated physical and behavioral health diagnoses. By 2020, Medicaid enrollment will reach nearly 100 million.

This webinar will provide a high-level briefing on how using a combination of analytical tools can be used to improve clinical and financial outcomes in state Medicaid programs, particularly for high-cost, high-risk Medicaid beneficiaries with dual medical and behavioral diagnoses.
 
Learning Objectives
Participants will be able to:
  1. Learn about the primary capabilities of the analytic tools to maximize the value of claims, pharmacy, and clinical data to support patient engagement and care management for high-cost patients.
  2. Learn how effectively identifying and stratifying dual diagnosis Medicaid patients can support more efficient care and support proactively managing populations – especially Medicaid patients with dual physical and behavioral health diagnoses.
  3. Learn how decision makers – physicians, chief medical officers, case management teams – use the resulting information to improve care and reduce costs of high-cost, dual-diagnosis Medicaid patients.
 
Who Should Attend
Interested attendees would include:
  • Chief Medical Officers
  • Analytics and Informatics Executives and Staff
  • Medicaid Operations Executives & Staff
  • VPs and Directors of Quality
  • Medical Directors
  • Care Management Executives
  • Case Management Executives
  • Regulatory and Policy Executives and Staff
  • Compliance Executives and Staff
  • Strategy and Planning Executives and Staff
  • Other Interested Parties 
  •  

Attendees would represent organizations including:

  • Health Plans
  • Provider Networks
  • Medicaid Accountable Care Organizations
  • Hospitals
  • Medical Groups
  • Care Management Organizations
  • Associations, Institutes and Research Organizations
  • Government
  • Media
  • Other Interested Parties
 
Registration
Managing Medicaid Patients with Physical and Behavioral Health Dual Diagnoses through Advanced Analytics
 
  Registration is Complimentary for qualified applicants. Applications will be accepted by the Summit co-sponsor according to their criteria. Applicants approved for registration will be notified by Summit within approximately seven business days of application or sooner.  
     
 
Register Now   Click here to register (Registration deadline is April 24, 2012)
We look forward to your participation in this event!
 
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