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Related Experiment Video

Updated: Sep 30, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Closing the loop: From system-based data to evidence-influenced policy and practice.

Alan Katz1, Marni Brownell1, Jennifer E Enns1

  • 1Manitoba Centre for Health Policy, University of Manitoba, 408-727 McDermot Ave, Winnipeg, MB R3E 3P5, Canada.

International Journal of Population Data Science
|March 16, 2022
PubMed
Summary

The Manitoba Centre for Health Policy provides evidence to policymakers, influencing policy and programs. Their research, using the Manitoba Population Research Data Repository, ensures public benefit through informed decision-making.

Keywords:
data analysisdata curationhealthcare policypolicy makerpopulation healthroutinely collected health data

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Area of Science:

  • Health Policy Research
  • Evidence-Informed Decision Making
  • Population Health Data Analysis

Background:

  • The Manitoba Centre for Health Policy (MCHP) has over 30 years of experience.
  • MCHP collaborates with policymakers at all government levels.
  • Focus on translating research into actionable insights for public benefit.

Purpose of the Study:

  • To demonstrate how research evidence influences policy in Manitoba.
  • To identify key lessons for effective researcher-policymaker relationships.
  • To highlight the value of the Manitoba Population Research Data Repository.

Main Methods:

  • Utilizing the whole-population Manitoba Population Research Data Repository (approx. 100 datasets).
  • Employing sophisticated research methods and data science technologies.
  • Translating complex research findings into meaningful recommendations.

Main Results:

  • Research evidence has demonstrably influenced policy and program development in Manitoba.
  • Strong relationships between researchers and policymakers are crucial for impact.
  • Policymaker support for the Repository is linked to the delivery of relevant research findings.

Conclusions:

  • Closing the loop by sharing valuable, policy-relevant research is key to successful collaboration.
  • Evidence-informed policy and program development benefits individuals and society.
  • Continued use of scientific evidence enhances public policy and service delivery.