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

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Presentation transcript:

Linking Public Health and 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 Based Research 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 Pilot EHR 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 Process Logistic Regression Modeling Diabetes Risk Predicted by Age and Body Mass Index

Acute respiratory infections, 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 Chart Example

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 Steps 1. Share key themes with conference attendees 2. Share summary of today’s discussion with website developers 3. Seek stakeholder input through ‘just in time’ workgroups and meetings.

For More Information Please Contact: Lawrence Hanrahan WI DHFS WI eHealth Care Quality and Patient Safety Board