SafeAI

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Idea in Health Care

(15.390)

Introduction

Patient Safety AI is developing a platform to safeguard patients when AI is deployed in healthcare. Our three-part solution — audits, SaaS monitoring, and certification — identifies risks such as bias, hallucinations, and workflow safety gaps, while providing transparent safety scores. By making AI safety visible and standardized, we give clinicians confidence, regulators accountability, and patients protection.


Problem

Artificial intelligence promises to revolutionize healthcare, but bias creeps in at every step of development and deployment. These systematic failures don't just compromise accuracy — they perpetuate inequities and put vulnerable populations at risk.

Without proper safeguards, AI systems designed to improve healthcare outcomes are instead deepening inequities and eroding the trust that forms the foundation of medical care.


Opportunity

We are developing a three pronged solution to ensure AI safety within healthcare. We seek provide audit services for independent pre-deployment evaluations for bias, safety, and equity. Second, we are developing a SaaS monitoring platform for continuous tracking once AI systems are deployed. This platform will provide real-time detection of AI bias and hallucinations, amongst other things. And finally we aim to provide an ISO-like accrediation for safe AI deployments.