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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:
- Learn how patient centered and coordinated care can improve the
patient experience, quality and health outcomes
- Demonstrate how predictive modeling is used to identify and stratify
patients for intervention
- Understand the critical interactions at the individual,
clinic/provider, population and community level, that drive
accountability
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Attendees would include:
- Chief Medical Officers
- Medical Directors
- Chief Information Officers
- Quality Improvement Executives and Staff
- Care Management Executives and Staff
- Marketing Executives
- Medical Informatics and Analytics Executives and Staff
Attendees would represent organizations including:
- Health Plans
- Provider Networks
- Care Management Organizations
- Employers
- Third Party Administrators
- Associations, Institutes and Research Organizations
- Media
- Other Interested Parties
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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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Linda Dunbar, PhD
Vice President of Care Management for Johns Hopkins HealthCare
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Dr. Dunbar serves as Vice –President of Care Management at Johns Hopkins
HealthCare. In her role as Vice President for the past ten years at JHHC,
Dr. Dunbar directs the 220 staff members in the divisions of Population
Health Management, Behavioral Health, and Research and Development.
Since 1997, Dr. Dunbar has led the department to create, deliver and
evaluate innovate population health management strategies in the areas
of single and multiple chronic diseases, behavioral conditions and
substance abuse disease.
Dr. Dunbar holds an adjunct faculty appointment at the JHU School of
Nursing and Bloomberg School of Public Health, and frequently teaches
and lectures on such topics as managed care, population health
strategies, health policy and reform, risk adjustment, and research and
evaluation.
Dr. Dunbar’s dissertation work, entitled “Alternative Methods of
Identifying Children with Special Health Care Needs: Implications for
Medicaid Programs”, explored the use of predictive models and risk
adjustment in populations of children with chronic conditions. Dr.
Dunbar has published in peer-reviewed journals on chronic illness in
infants and children, risk-adjustment methodology, predictive modeling
in high-risk patient identification, health policy for children and
adults, pay-for-performance and quality, primary care and population
health strategies. She has served as a consultant in the Disease
Management industry and for State Medicaid Agencies and health plans.
Dr. Dunbar speaks and consults nationally and internationally about
risk-adjustment and population health strategies.
Dr. Dunbar completed 40 credits in the Master’s of Business
Administration program at Johns Hopkins University in early 1984-1988, a
MS in 2000 and PhD in 2005 from University of Maryland in Nursing and
Health Policy. |
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Improve patient experience, quality & outcomes
with coordinated care