A model of academic‐practice collaboration for facilitating informatics capacity and building a learning health system framework in public health

Author:

Rajamani Sripriya12ORCID,Solarz Sarah3,Muscoplat Miriam Halstead3,Schmit Aasa Dahlberg4,Gonderinger Ann3,Brueske Chris3,Fritz Jennifer3,Emerson Emily3,Melton Genevieve B.256

Affiliation:

1. Informatics Program, School of Nursing University of Minnesota Minneapolis Minnesota USA

2. Institute for Health Informatics University of Minnesota Minneapolis Minnesota USA

3. Minnesota Department of Health Saint Paul Minnesota USA

4. HLN Consulting LLC Mission Viejo California USA

5. Department of Surgery, School of Medicine University of Minnesota Minneapolis Minnesota USA

6. Center for Learning Health System Sciences University of Minnesota Minneapolis Minnesota USA

Abstract

AbstractBackground and ObjectiveThe data modernization initiative (DMI) is a multi‐year, multi‐billion‐dollar endeavor toward a robust public health information infrastructure. The various DMI projects (interoperability, analytics, workforce, governance) present an opportunity for a learning health system (LHS) framework in public health. The objective is to share an academic‐practice partnership model between the University of Minnesota (UMN) and the Minnesota Department of Health (MDH) in advancing public health informatics (PHI) and its relationship to an LHS model.MethodsThe UMN‐MDH partnership was conceptualized in 2018 as a 1‐year pilot with annual renewals through a time/cost‐sharing faculty position with PHI expertise. The partnership focus was decided based on MDH's needs and mutual interests, with the core collaborating faculty (SR) being an embedded researcher at MDH. Responsibilities included supporting electronic case reporting (eCR), interoperability projects, and assisting MDH staff with PHI presentations/publications. The partnership has expanded to PHI workforce development through a national grant and now includes an interest in applying the LHS framework to MDH‐DMI work.ResultsThe MDH‐DMI team has embarked upon 13 projects for assessment through an LHS approach: systems interoperability projects between MDH and healthcare/local public health (n = 6); systems modernization for MDH programs (n = 5); informatics workforce development (n = 1); and program governance (n = 1). Each project has been evaluated and/or has current/future assessment plans to synthesize learnings and create a feedback loop for iterative improvement. The partnership has been mutually beneficial as it met agreed upon metrics across both institutions. The program's productivity is showcased with shared authorship in 10 peer‐reviewed proceedings/publications, 22 presentations and 16 posters across local/national conferences.ConclusionThe current case report of the UMN‐MDH partnership is a relatively recent exemplar to support tangible LHS demonstration in public health. Building LHS momentum at MDH and other public health entities will require LHS champion(s) and continued academic collaboration.

Funder

Office of the National Coordinator for Health Information Technology

Agency for Healthcare Research and Quality

Patient-Centered Outcomes Research Institute

Centers for Disease Control and Prevention

Publisher

Wiley

Reference31 articles.

1. Council of State and Territorial Epidemiologists (CSTE).Driving Public Health in the Fast Lane: The Urgent Need for a 21st Century Data Superhighway.2019. Accessed March 23 2024.https://resources.cste.org/data-superhighway/mobile/index.html

2. Enhancing the nation’s public health information infrastructure: a report from the ACMI symposium

3. Strengths, weaknesses, opportunities, and threats for the nation’s public health information systems infrastructure: synthesis of discussions from the 2022 ACMI Symposium

4. Modernizing our Nation's public health information system: toward an integrated approach;Singletary V;J Public Health Manag Pract,2021

5. Robert Wood Johnson Foundation (RWJF).Charting a Course for an Equity‐Centered Data System.2021. Accessed April 6 2024.https://www.rwjf.org/en/insights/our-research/2021/10/charting-a-course-for-an-equity-centered-data-system.html

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