Healthcare does not need AI that sidelines clinicians. It needs AI governance that protects them.

It starts with a simple principle: AI should support clinical judgment, not replace it.

That is the foundation of this AI Decision Support Charter, a practical governance framework designed to protect what I believe is essential in modern medicine:

- Clinical decisions remain the responsibility of licensed professionals - AI recommendations should never automatically trigger care without human evaluation

- Clinicians must retain the right to override, modify, or reject AI outputs without penalty

- Accountability for AI-influenced decisions must be shared across organizations, developers, and vendors, not pushed onto the clinician alone

Patients deserve transparency when AI meaningfully shapes recommendations about their care. In other words, this charter supports the concept of the sovereign clinician.

A sovereign clinician is not anti-AI.A sovereign clinician is a professional whose expertise, judgment, ethics, and relationship with the patient remain primary, even in an AI-enabled environment.

That distinction matters.

Because if governance is weak, clinicians risk becoming downstream signatories for decisions shaped by systems they did not design, cannot fully inspect, and may be pressured to follow. That is not augmentation. That is erosion.

I am sharing this PDF because I believe healthcare needs stronger language, stronger safeguards, and a clearer defense of clinician autonomy before AI becomes further embedded in clinical workflows.This framework is also part of a larger idea explored in my upcoming book, The Sovereign Clinician, which will be going live on Amazon at the end of this month.

If you care about clinical judgment, patient trust, and the future of accountable AI in medicine, I hope you’ll read the attached PDF and tell me what should be added, challenged, or strengthened.