health informatics oskar anderson director, office of health informatics division of public health...
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Health Informatics
Oskar AndersonDirector, Office of Health Informatics
Division of Public HealthWisconsin Department of Health Services
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Division of Public HealthOffice of Health Informatics
• Vital Records• Health Analytics • Informatics Architecture • Health Information Technology
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OHI Systems and Projects• BRFS, FHS, PRAMS surveys• Wisconsin Cancer Reporting System • WEDSS - Wisconsin Electronic Disease Surveillance System• PHIN - Public Health Information Network systems• EC-LDS – Early Childhood Longitudinal Data System• SVRIS – State Vital Records Information System• HIE – Health Information Exchange• WHIO – WI Health Information Organization data mart• IDAP – Integrated Data Analysis Project• WISH - Wisconsin Interactive Statistics on Health
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eHealth -Federal HITECH* Programs
Medicare and Medicaid EHR Incentives and Penalties
Improved Individual & Population Health
Outcomes
IncreasedTransparency &
Efficiency
ImprovedAbility to Study &
Improve Care Delivery
ADOPTIONADOPTION
EXCHANGEEXCHANGE
MEANINGFUL USEMEANINGFUL USE
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Regional Extension Centers (WHITEC)
Workforce Training (MATC-MSN/MKE)
State Grants for HIE (WISHIN)
Standards & Cert. Framework
*Health Information Technology for Economic and Clinical Health
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Different types of data • Population-wide (vital records, census)
– How many babies were born to teens in 2009? (5,855)
• Sample surveys (Behavioral Risk Factor (BRFS), Youth Risk Behavior (YRBS),
Family Health Survey (FHS)– What % of adults currently smokes cigarettes? (19)
• Registries (cancer, immunization)– What is the age-adjusted cancer death rate for 2006? (180.7)
• Program data (WWWP, WIC, MCH, WEDSS, WIR)– How many cases of Chlamydia trachomatis did WI have in 2010 (23,471)
• Health Care Provider (Hospital inpatient, nursing home)– What % of asthma hospitalizations in the SE region were paid for by private insurance?
(29%)
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Selected Sources• DHS Health Statistics
– http://www.dhs.wisconsin.gov/stats/
• County Health Rankings– http://www.countyhealthrankings.org/
• Interactive Query Systems: Wonder & Wish– http://wonder.cdc.gov/– http://www.dhs.wisconsin.gov/wish/
• Analysis, Visualization & Reporting (AVR) – EPHT– https://avr.wisconsin.gov– http://www.dhs.wisconsin.gov/epht/
• Kids Count Data Center -- Wisconsin– http://datacenter.kidscount.org/wi
• USDA Economic Research Service Food Environment Atlas– http://www.ers.usda.gov/FoodAtlas/http://www.ers.usda.gov/FoodAtlas/
• USDA ERS State Fact Sheets– http://www.ers.usda.gov/StateFacts/
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DHS Health Statistics
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• Minority Health
• Population
• PRAMS
• Vital Stats
• Products and Services
• Poverty, Health Insurance
• HW2020
•WISH
• LHD Survey
• PH Workforce Report
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• Population/Poverty
• LHD staffing
• Long term care
• Natality
• Morbidity
• Mortality
• Hospitalizations
• Immunizations
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http://www.dhs.wisconsin.gov/health/diabetes/burden.htmhttp://www.dhs.wisconsin.gov/eh/asthma/pdf/
boawi04.pdf
Chronic Disease Burden Reports
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County Health Rankings
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• Podcasts
• Videos
• News & Information
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Health outcomes in the County Health Rankings represent how healthy a county is. We measure two types of health outcomes: how long people live (mortality) and how healthy people feel while alive (morbidity).
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Health factors in the County Health Rankings represent what influences the health of a county. We measure four types of health factors:
• health behaviors,
• clinical care,
• social and economic, and
• physical environment.
In turn, each of these factors is based on several measures.
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CDC WonderWide-ranging Online Data for Epidemiologic Research
DHS WISHWisconsin Interactive Statistics on Health
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Analysis, Visualization and Reporting
AVR
Public Health Information Network(PHIN)
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• Myocardial Infarction
• Poison Center Calls
• Reproductive Outcomes
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Federal Data Sources & Tools
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Census Annual Data
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Factfinder – Interactive + Data Downloads
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Under Development
Wisconsin data at the census tract level and below
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ESRI Business Analyst PremiumData at Census Block Group (~6,000 Variables)
Item Description
Demographic Net Worth, Income, Age, Labor Force etc. 2,000 variables
Segmentation Data ESRI Tapestry -neighborhood socioeconomic and demographic composition
Business Location, total $$, # number of employees, # businesses by SIC & NAICS.
Consumer Spending 750 variables - what consumers buy. Total & average $$ by household, Spending Potential Index (SPI = local / national)
Market Potential 2,000 items of goods, services, and attitudes measuring probable demand
Retail Market Place Direct comparison between retail sales and consumer spending
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Economic Hardship Index
• 1) crowded housing• 2) federal poverty level• 3) unemployment• 4) Less than high school • 5) dependency (% under 18 or over 64);• 6) median income per capita.
Census data available to the Census Block GroupIndex from 1 (Not Hard) to 100 (Very Hard)
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Economic Hardship Index by Census 2000 Block Groups
WIBGP2000_Pop_WTM91
EHINDEX
1 = Low (0-25)
2 = Medium (26-29)
3 = High (30-69)
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Economic Hardship Index by Census 2000 Block Groups
WIBGP2000_Pop_WTM91
EHINDEX
1 = Low (0-25)
2 = Medium (26-29)
3 = High (30-69)
Economic Hardship Index Milwaukee County
Grey = Block Group BoundaryRed = Zipcode Boundary
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Economic Hardship Index
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Fresh Fruit & Vegetable Consumption Index
Milwaukee & Suburbs – Census Tracts
Color Ramp
Grey –Lowest
White-Low
Cream-Medium
Yellow-High
Red-Very High
Source:
ESRI / BLS Consumer Expenditure Survey
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Fresh Fruit & Vegetable Consumption Index – Census TractsIndividual Store Location / Sales Volume Milwaukee & Suburbs
Color Ramp Grey –LowestWhite-LowCream-Medium Yellow-HighRed-Very High
Circle size = store sales volume
Source: ESRI / BLS Consumer Expenditure Survey