Linking Public Health and Clinical Care Kathleen Blair, City of Milwaukee Health Department Jonathan Temte, UW Department of Family Medicine Lawrence Hanrahan,

Linking Public Healthand Clinical Care

Kathleen Blair, City of Milwaukee Health Department

Jonathan Temte, UW Department of Family Medicine

Lawrence Hanrahan, WI DHFS

Matthew Schwei, WI DHFS

Agenda

eHealth – Linking Public Health & Clinical Care

Review WI eHealth Plan for Public Health, our Vision, and Mission

Notes from the Field (Dr. Temte)Today’s Goal – Next Steps to Improve

Linkage

eHealth: Linking Public Health and Clinical Care

Public Health Surveillance & Response

Health Status &Disease

Management

Population BasedResearch

Population Based Health Care &

Quality Improvement

Health Education Communication

& Marketing

Based on Sources: MN eHealth & AHIC

e

WI eHealth Plan for Public Health

Link eHealth to Prevention & Management Link Public Health (PHIN) and Clinical Care

Information Systems Link Public Health & Clinical Care in ways

that Improve Both Create Chronic Disease Surveillance Systems Establish Biosurveillance for Rapid Outbreak

Detection

Public Health’s eHealth Vision: A Transformed Public Health

System where all Public Health Practices are Supported by eHealth

Public Health’s eHealth Mission: An engaged public health system will

specify the eHealth systems requirements to support the state health plan

It will implement WI State Health Plan System Priority # 1 – Integrated Electronic Data and Information Systems

Progress Towards Public Health & Clinical Care Linkage

WHIE - Public Health Information Network (PHIN) Linkage

UW Family Medicine Electronic Health Record – (PHIN) Linkage

UW Family Medicine

PHIN Analysis, Visualization, and Reporting (AVR) Portal

WI PHIN AVR Portal Secure, Role Based Access Control University of Wisconsin Department of Family Medicine PilotEHR Clinic De-Identified Visit Records (1 YR; N = 309,000)

Data Cube (Structured Data for Efficient Exploration)

Geographic Information System (GIS)Diabetes Visit Count by Zip Code

Stored Analytic ProcessLogistic Regression Modeling Diabetes Risk Predicted by Age and Body Mass Index

Acute respiratory infections, 480-487 - Pneumonia and influenza AND Temperature Category equal to 100 and above AND Service Year equal to 2007

Filter and Graph Data Cube – ARI, Influenza, and Temperature ChartExample

How do we improve the linage between Public Health and Clinical Care?

What are Wisconsin’s next eHealth steps for:

Public Health Surveillance and Response? Health Status and Disease Measurement? Population Based Research? Population Based Health Care Quality Improvement? Health Education, Communication, and Marketing?

Policy Statements?Demonstrations?Funding?

Next Steps1. Share key themes with conference attendees2. Share summary of today’s discussion with website

developers3. Seek stakeholder input through ‘just in time’

workgroups and meetings.

For More Information Please Contact:

Lawrence Hanrahan WI DHFS Lawrence.Hanrahan@dhfs.wisconsin.gov

WI eHealth Care Quality and Patient Safety Boardhttp://ehealthboard.dhfs.wisconsin.gov/