Health informatics seminars_nclg

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