Multimethod Approach

A research methodology that combines multiple methods or approaches to address a complex problem, leveraging the strengths of each while mitigating their individual limitations.

Key Characteristics

• Triangulation: Uses different data sources, methods, or theories to validate findings.
• Complementarity: Combines methods to provide a more comprehensive understanding than any single method could.
• Initiation: Uses one method to question or challenge findings from another.
• Expansion: Uses multiple methods to explore different aspects of a phenomenon.

Applications

• Healthcare Research: Often used to evaluate complex interventions or systems.
• AI Governance: Helps assess ethical, technical, and organizational dimensions of AI implementation.

Related Concepts

• ai-oversight
• ethics
• Healthcare Innovation

References

• 2026 04 14 BMJ Review

Notes from BMJ Review (2026-04-14)

• New AI technologies are rapidly adopted in healthcare, but governance often lacks processes for safe and responsible use.
• Existing AI governance frameworks focus on high-level ethical principles, leaving gaps in practical implementation.
• Study aimed to develop and validate a practice-oriented AI governance framework.
• Challenges include translating principles into practice, assessing risk, and embedding AI oversight into existing processes.