Health informatics seminars_nclg
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DUKE/UNC-CH/NCCU/NCSTATE/UNC-C WEEKLY INFORMATICS SEMINARS:
WAYS OF SEEING
Nicci Gafinowitz
MSIS CHIPSpring 2013
Robert Furberg16 Feb 2013
social + technical + data
community + connectivity + content
technology + mobile tools + information +
community + user-generated content +
collaboration + social interaction
Now validated by research:patient wisdom and social media reduce the cost of healthcare !!
Judith Hibbard, J. Greene & V. Overton
(Feb 2013)
Patients With Lower Activation Associated With Higher Costs;
Delivery Systems Should Know Their Patients’ ‘Scores’
Health Aff 32 (2) 716-777
doi: 10.1377/hlthaff.2012.1064
crowdsourcing medical knowledge…
crowdsourcing for physicians …
Patient versus the
ePatient
Passive - Active Information is - Information seeking
imparted Top-down delivery - Partner in their care
of care Paternalistic medicine - Participatory medicine
4.9 million health patients will use
remote health monitoring device by 2016
*** HEALTH DATA ***of which 80% unstructured
I billion smartphones
by end 2013
*** BIG HEALTH DATA ***Bonnie Feldman (2012) Big Data in Digital health http://rockhealth.com/2012/10/rock-report-big-data-healthcare/
Dr. John GrahamDirector Southern Piedmont BEACON Community Health
PartnersCCNC, NC Institute for Public Health, Southern Piedmont Beacon Community, Health Landscapes LLC, Robert Graham Center
www.communitycarenc.org\nc-hip
NC-HIP Indicators (by category)* Community Health Assessment
* Access to Health Services
* Chronic Disease
* Clinical Care
* Health Outcomes
* Infectious Diseases
* Injury and Violence
* Maternal, Infant and Child Health
* Nutrition, Physical Activity and Obesity
* Oral Health
* Physical Environment
* Reproductive and Sexual Health
* Social Determinants
* Substance Abuse
* Tobacco
* Community Characteristics
* Economics
* Education
* Infants and Children
* Population
* Medicare/Medicaid Population Profile
* Cancer
* Demographics
* Heart Disease
* Multi-morbidity
* Other Chronic Conditions
* Health System Performance: Medicare
* Hospital and ED Rates
* Prevention Quality Indicators
* Spending
* Health System Performance: Medicaid
* Medicaid Cost and Utilization Statistics by Client County
* CCNC Key Performance Indicators by Provider County (protected sites)
* CCNC Quality Improvement
* Asthma
* Diabetes
* Cancer Screening
* Cardiovascular
* Dental Care
* Heart Failure
* Pediatric Preventive Services
Geographic Variation in ED Utilization#ED Visits per Medicaid Recipient, by Client County
Prevalence of Diagnosed Depression among Medicaid Recipients
Prevalence of multi-morbidity (3 or more chronic conditions)
correlated with
Average Medicaid costs per recipient
Obesity prevalence correlated with preponderance of fast food restaurants
Dashboard Overview
Next Phase“Community of Practice” forming for application testing
and feedback, sharing of use cases and best practices
Technical architecture re-design to allow for automated data updates
Smaller area data visualization for Medicaid data where appropriate
Population filters (age, race/ethnicity, gender, program category)
Role-based user permissions for access to certain data
? Customized NCHQA deployment, to be defined