Our goal is to develop “guidelines and guardrails” to drive high-quality health care by promoting the adoption of credible, fair and transparent health AI systems.
The Health AI Coalition will build a consensus-driven framework to:
- Define core principles and criteria for health AI developers, end-users, and health care organizations to evaluate, monitor and report health AI systems throughout their lifecycle.
- Generate and promote a standard labeling schema for providing transparency to health AI end-users / consumers aiming to increase credibility of health AI systems.
Identify areas of interest and representative use cases.
Develop clear delineation of:
- Use cases and specific audiences / users of health AI systems.
- Core principles that will guide evaluation criteria and standards of development.
Perform an environmental scan and provide a common definition and catalog of evaluation criteria.
Produce a stakeholder-driven implementation guide to drive the credible and transparent use of health AI technologies, reducing variation in current evaluation, monitoring and reporting methods.