Selected as Best Overall Capstone
Harvard Medical School Executive Education, "AI in Healthcare," February 2026
Safety OS™ is built through disciplined, evidence-driven governance maturation. Each milestone demonstrates measurable progress toward the infrastructure required for phased regulatory inheritance.
Collaborating with clinicians across aging, rehabilitation, and chronic care.
Safety OS governance layer established with regulatory-grade foundations.
Ethical, consent-based environment for gathering geriatric and chronic-care insights.
Discussions with health systems, research institutions, and strategic sponsors.
Safety OS behavior-governance engine and supervision controls under development.
Clinical leaders, AI governance experts, and regulatory specialists engaged.
Recognized for responsible AI governance and ethical design principles.
Claims: The system is designed to provide protocol-driven support for post-acute rehabilitation and home monitoring, focusing on patient safety and compliance.
Boundaries: The system is architecturally prohibited from performing diagnosis, prognosis, treatment recommendations, or any form of autonomous clinical decision-making. All actions are constrained by the Physician-as-Pilot framework.
What is Explicitly Not Proven Yet: Long-term impact on hospital readmission rates and cost-effectiveness in diverse patient populations are areas for future study and validation.
Independence. Dignity. Peace of Mind.
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