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From Data to Intelligence for Health Workforce Planning: Insights From Integrated Primary Care Workforce Planning in
Sarah Simkin1,2, Cynthia Damba3, Bahja Farah3
1University of Ottawa, Ottawa, Ontario, Canada.
Healthcare Management Forum
|October 28, 2025
Summary
Health leaders require actionable intelligence for effective decision-making. This study presents a framework for transforming raw data into usable health workforce planning insights, using Toronto
Area of Science:
- Health Services Research
- Health Workforce Planning
- Public Health Informatics
Background:
- Effective health leadership relies on community and health workforce data.
- Translating raw data into actionable intelligence is crucial for decision-making.
- Integrated primary care workforce planning requires robust data analysis.
Purpose of the Study:
- To outline a workforce planning framework for integrated primary care.
- To describe the process of converting raw data into usable workforce intelligence.
- To analyze the impact of a data-driven workforce planning approach.
Main Methods:
- Case study of integrated primary care workforce planning in Toronto.
- Development of a six-step workforce analysis model.
- Focus on data inputs, outputs, and the conversion process from data to intelligence.
Main Results:
- A framework was developed to guide workforce planning.
- A six-step analysis model transforms data into accessible insights.
- The approach enhances the relevance and accessibility of data for planners.
Conclusions:
- Data-driven intelligence is essential for effective health workforce planning.
- Challenges in data standardization, accessibility, and timeliness must be addressed.
- An improved system can better support health workforce decision-making.
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