Health Informatics

Oskar AndersonDirector, Office of Health Informatics

Division of Public HealthWisconsin Department of Health Services

2

Division of Public HealthOffice of Health Informatics

• Vital Records• Health Analytics • Informatics Architecture • Health Information Technology

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

4

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

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

5

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%)

6

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/

DHS Health Statistics

8

• Minority Health

• Population

• PRAMS

• Vital Stats

• Products and Services

• Poverty, Health Insurance

• HW2020

•WISH

• LHD Survey

• PH Workforce Report

9

• Population/Poverty

• LHD staffing

• Long term care

• Natality

• Morbidity

• Mortality

• Hospitalizations

• Immunizations

10

11

12

http://www.dhs.wisconsin.gov/health/diabetes/burden.htmhttp://www.dhs.wisconsin.gov/eh/asthma/pdf/

boawi04.pdf

Chronic Disease Burden Reports

County Health Rankings

14

• Podcasts

• Videos

• News & Information

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).

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.

17

18

19

20

21

CDC WonderWide-ranging Online Data for Epidemiologic Research

DHS WISHWisconsin Interactive Statistics on Health

23

24

25

26

27

28

29

Analysis, Visualization and Reporting

AVR

Public Health Information Network(PHIN)

30

• Myocardial Infarction

• Poison Center Calls

• Reproductive Outcomes

31

32

Federal Data Sources & Tools

34

Census Annual Data

35

Factfinder – Interactive + Data Downloads

Under Development

Wisconsin data at the census tract level and below

37

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

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 GroupIndex from 1 (Not Hard) to 100 (Very Hard)

39

Economic Hardship Index by Census 2000 Block Groups

WIBGP2000_Pop_WTM91

EHINDEX

1 = Low (0-25)

2 = Medium (26-29)

3 = High (30-69)

40

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

41

Economic Hardship Index

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

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