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Cross Sector Data Sharing: Necessity, Challenge, and Hope.

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  • 1Cason Schmit, J.D., is an assistant professor in the Texas A&M University School of Public Health Department of Health Policy and Management (College Station). Schmit received his J.D. from the Sandra Day O'Connor College of Law at Arizona State University (Tempe, AZ), and B.A. from Willamette University (Salem, OR). Kathleen Kelly, M.P.A., is a Management Assistant to the County Manager in Coconino County Arizona, and Co-founder of Lifting Up Peoria, LLC. Previously, Kelly worked as a Management Analyst with the Peoria Police Department. Kelly received her MPA focused in Community Development from Rutgers University - Camden (Camden, NJ) and BA from Saint Louis University (Saint Louis, MO). Jennifer Bernstein, J.D., M.P.H., is the Deputy Director at the Network for Public Health Law's Mid-States Region and helps lead the Data for Population Health initiative. Bernstein received a J.D./M.P.H. dual degree from the University of Iowa (Iowa City, IA), and B.S. in Women's Studies s from the University of Wisconsin-Madison (Madison, WI).

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Public health data sharing is hindered by complex laws. A Peoria, IL initiative successfully created a cross-sectoral data system for mental health, law enforcement, and healthcare coordination.

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Area of Science:

  • Public Health
  • Health Informatics
  • Data Science

Background:

  • Vast public health data exists but is often siloed.
  • Data protection regulations create significant barriers to data sharing.
  • Effective public health initiatives require integrated data systems.

Purpose of the Study:

  • To describe the development of a cross-sectoral data system in Peoria, IL.
  • To highlight strategies for overcoming data sharing challenges in public health.
  • To demonstrate the coordination of mental health, law enforcement, and healthcare services through data integration.

Main Methods:

  • A data-sharing initiative was established in Peoria, IL.
  • Cross-sectoral collaboration was fostered among key stakeholders.
  • A data system was developed to integrate disparate data sources.
  • Legal and technical challenges to data sharing were addressed.

Main Results:

  • A functional cross-sectoral data system was successfully implemented.
  • The system facilitates the coordination of mental health, law enforcement, and healthcare services.
  • Overcoming data protection law challenges was key to the initiative's success.

Conclusions:

  • Cross-sectoral data systems are feasible and beneficial for public health.
  • Innovative approaches can overcome legal barriers to data sharing.
  • Integrated data improves coordination across public services.