FLARE Framework Aims to Improve AI Adoption in Healthcare

The FLARE framework combines fuzzy logic and cost analysis to evaluate the financial and operational implications of AI adoption in healthcare settings.

It emphasizes economic viability alongside model accuracy, addressing a critical gap in healthcare AI evaluation.

The framework uses time-driven activity-based costing and return on investment analysis.

This approach could lead to more sustainable and effective AI integration in healthcare.

Source: https://arxiv.org/abs/2608.23643