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Health Informatics Oskar Anderson Director, Office of Health Informatics Division of Public Health Wisconsin Department of Health Services.

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Presentation on theme: "Health Informatics Oskar Anderson Director, Office of Health Informatics Division of Public Health Wisconsin Department of Health Services."— Presentation transcript:

1 Health Informatics Oskar Anderson Director, Office of Health Informatics Division of Public Health Wisconsin Department of Health Services

2 Division of Public Health Office of Health Informatics Vital Records Health Analytics Informatics Architecture Health Information Technology 2

3 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 3

4 eHealth -Federal HITECH* Programs Medicare and Medicaid EHR Incentives and Penalties Improved Individual & Population Health Outcomes Increased Transparency & Efficiency Improved Ability to Study & Improve Care Delivery Improved Individual & Population Health Outcomes Increased Transparency & Efficiency Improved Ability to Study & Improve Care Delivery ADOPTION EXCHANGE MEANINGFUL USE 4 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 4

5 Different types of data Population-wide (vital records, census) 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) Sample surveys (Behavioral Risk Factor (BRFS), Youth Risk Behavior (YRBS), Family Health Survey (FHS) – What % of adults currently smokes cigarettes? (19) Registries (cancer, immunization) Registries (cancer, immunization) – What is the age-adjusted cancer death rate for 2006? (180.7) Program data (WWWP, WIC, MCH, WEDSS, WIR) 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) Health Care Provider (Hospital inpatient, nursing home) – What % of asthma hospitalizations in the SE region were paid for by private insurance? (29%) 5

6 Selected Sources DHS Health Statistics DHS Health Statistics – County Health Rankings County Health Rankings – Interactive Query Systems: Wonder & Wish – – Analysis, Visualization & Reporting (AVR) – EPHT – https://avr.wisconsin.gov https://avr.wisconsin.gov – Kids Count Data Center -- Wisconsin – USDA Economic Research Service Food Environment Atlas – USDA ERS State Fact Sheets – 6

7 DHS Health Statistics

8 Minority Health Population PRAMS Vital Stats Products and Services Poverty, Health Insurance HW2020 WISH LHD Survey PH Workforce Report 8

9 Population/Poverty LHD staffing Long term care Natality Morbidity Mortality Hospitalizations Immunizations 9

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12 Chronic Disease Burden Reports 12

13 County Health Rankings

14 Podcasts Videos News & Information 14

15 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). 15

16 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. 16

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22 CDC Wonder Wide-ranging Online Data for Epidemiologic Research DHS WISH Wisconsin Interactive Statistics on Health

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29 Analysis, Visualization and Reporting AVR Public Health Information Network (PHIN) 29

30 Myocardial Infarction Poison Center Calls Reproductive Outcomes 30

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33 Federal Data Sources & Tools

34 Census Annual Data 34

35 Factfinder – Interactive + Data Downloads 35

36 Under Development Wisconsin data at the census tract level and below

37 ESRI Business Analyst Premium Data at Census Block Group (~6,000 Variables) ItemDescription DemographicNet Worth, Income, Age, Labor Force etc. 2,000 variables Segmentation DataESRI Tapestry -neighborhood socioeconomic and demographic composition BusinessLocation, total $$, # number of employees, # businesses by SIC & NAICS. Consumer Spending750 variables - what consumers buy. Total & average $$ by household, Spending Potential Index (SPI = local / national) Market Potential2,000 items of goods, services, and attitudes measuring probable demand Retail Market PlaceDirect comparison between retail sales and consumer spending 37

38 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 Group Index from 1 (Not Hard) to 100 (Very Hard) 38

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40 Economic Hardship Index Milwaukee County Grey = Block Group Boundary Red = Zipcode Boundary 40

41 Economic Hardship Index 41

42 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 42

43 Fresh Fruit & Vegetable Consumption Index – Census Tracts Individual Store Location / Sales Volume Milwaukee & Suburbs Color Ramp Grey –Lowest White-Low Cream-Medium Yellow-High Red-Very High Circle size = store sales volume Source: ESRI / BLS Consumer Expenditure Survey


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