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SAHI Framework — Scaling AI in Healthcare in India
A practical blueprint for moving healthcare AI from pilot to scale.
- Type
- Adoption framework
- Stage
- Pilot → Scale
- Audience
- Hospital leadership
Most healthcare AI never makes it out of the pilot. A promising proof-of-concept stalls because the organisation lacks a repeatable path from a single successful deployment to system-wide, governed adoption. The SAHI framework exists to close that gap.
The four pillars
- Strategy — align AI initiatives to measurable clinical and operational goals
- Adoption — design change management and training around real workflows
- Harmonisation — integrate with EMR/HIS, ABDM, and existing data pipelines
- Improvement — monitor, govern, and continuously evaluate real-world impact
How HealthOptima applies it
We use the SAHI lens in every engagement — starting with an AI Readiness Audit, prioritising use cases by impact and feasibility, and building the governance scaffolding that lets a successful pilot become standard practice across departments and sites.
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