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Health Informatics. Oskar Anderson Director, Office of Health Informatics Division of Public Health Wisconsin Department of Health Services. Division of Public Health Office of Health Informatics. Vital Records Health Analytics Informatics Architecture Health Information Technology.

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health informatics

Health Informatics

Oskar Anderson

Director, Office of Health Informatics

Division of Public Health

Wisconsin Department of Health Services

division of public health office of health informatics
Division of Public HealthOffice of Health Informatics
  • Vital Records
  • Health Analytics
  • Informatics Architecture
  • Health Information Technology
ohi systems and projects
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
ehealth federal hitech programs
eHealth -Federal HITECH* Programs

ADOPTION

Improved Individual &

Population Health

Outcomes

Increased

Transparency &

Efficiency

Improved

Ability to Study &

Improve Care Delivery

Regional Extension Centers (WHITEC)

Workforce Training (MATC-MSN/MKE)

MEANINGFUL USE

Medicare and Medicaid

EHR Incentives and Penalties

State Grants for HIE (WISHIN)

Standards & Cert. Framework

EXCHANGE

4

*Health Information Technology for Economic and Clinical Health

different types of data
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%)

selected sources
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/
slide8
Minority Health
  • Population
  • PRAMS
  • Vital Stats
  • Products and Services
  • Poverty, Health Insurance
  • HW2020
  • WISH
  • LHD Survey
  • PH Workforce Report
slide9
Population/Poverty
  • LHD staffing
  • Long term care
  • Natality
  • Morbidity
  • Mortality
  • Hospitalizations
  • Immunizations
slide12
Chronic Disease Burden Reports

http://www.dhs.wisconsin.gov/eh/asthma/pdf/boawi04.pdf

http://www.dhs.wisconsin.gov/health/diabetes/burden.htm

slide14
Podcasts
  • Videos
  • News & Information
slide15
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). 
slide16
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.
cdc wonder
Wide-ranging Online Data for Epidemiologic Research

CDC Wonder

DHS WISH

Wisconsin Interactive Statistics on Health

public health information network phin
Public Health Information Network(PHIN)

Analysis, Visualization and Reporting

AVR

slide30
Myocardial Infarction
  • Poison Center Calls
  • Reproductive Outcomes
under development

Under Development

Wisconsin data at the census tract level and below

economic hardship index
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)

slide40
Economic Hardship Index

Milwaukee County

Grey = Block Group Boundary

Red = Zipcode Boundary

fresh fruit vegetable consumption index milwaukee suburbs census tracts
Fresh Fruit & Vegetable Consumption IndexMilwaukee & Suburbs – Census Tracts

Color Ramp

Grey –Lowest

White-Low

Cream-Medium

Yellow-High

Red-Very High

Source:

ESRI / BLS Consumer Expenditure Survey

slide43

Fresh Fruit & Vegetable Consumption Index – Census TractsIndividual 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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