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Clinical decision-making frameworks for pandemic preparedness and response: A scoping review
Farhad Sattar Mohammed1, Kaveh Bahmanpour2, Sina Valiee3
1Department of Health Care Management, School of Medical Sciences and Technologies, S R.C., Islamic Azad University, Tehran, Iran.
Health Promotion Perspectives
|May 11, 2026
Summary
Combining clinical decision-making frameworks with AI enhances pandemic response. Integrating these tools improves speed, effectiveness, and equity in public health emergencies, leading to better preparedness.
Area of Science:
- Public Health
- Health Informatics
- Decision Science
Background:
- Pandemic management requires integrated strategies for disease control, resource allocation, and public health interventions.
- Clinical decision-making frameworks (CDMFs) are crucial for improving adaptive strategies during public health emergencies.
- This study aims to create a synergistic approach to enhance the speed, effectiveness, and equity of pandemic responses.
Purpose of the Study:
- To evaluate the contributions and limitations of CDMFs in pandemic preparedness and response.
- To explore how combining CDMFs can improve decision-making during public health emergencies.
- To identify strategies for enhancing the speed, effectiveness, and equity of pandemic responses.
Main Methods:
- Literature review of studies published up to January 2025.
- Evaluation of framework contributions to adaptability, risk identification, and strategic planning.
- Analysis of challenges related to equity and data quality in pandemic response frameworks.
Main Results:
- The SOAR framework promotes adaptability; risk assessment aids threat identification.
- AI-driven decision support systems (DSS) offer predictive analytics for strategic planning.
- The DECIDE framework balances strategic planning with crisis urgency; AI integration requires oversight for equity and transparency.
Conclusions:
- Integrating AI into CDMFs presents significant opportunities for improving future pandemic responses.
- Evolving frameworks and incorporating AI-DSS, with attention to ethics and data quality, will yield more equitable global health solutions.
- Enhanced CDMFs and AI-DSS integration bolster pandemic preparedness and resilience.
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