The Confession Booth Has No Walls
Glimpse into how patients actually use AI when they openly confess why and how they are increasingly relying on technology to manage their care.
Dan Noyes | Medical AI Strategies & Patient Design
Medical AI strategist combining lived patient experience with governance expertise. Writing on responsible AI implementation, patient safety, and ethical healthcare technology.
Latest posts
Healthcare AI Governance: Moving from Theory to the Bedside
Healthcare AI adoption is currently a performance of speed over safety. This post outlines three critical steps for robust governance.
When Clinical Judgment Collides With AI
Why hospitals need stronger governance before algorithmic authority becomes the default.
Wearables, Data and Privacy: Charting the Next Frontier of Patient‑Centric Care
We are at a watershed moment where patient care is shifting from episodic encounters in hospitals to continuous, real‑time monitoring at home.
Beyond the Dashboard: Implementing the Flourishing Metric in AI Governance
Healthcare organizations are currently flying blind. While 91% of AI deployment studies report technical performance, only 7% report on the patient experience (Liu et al., 2023). We know if the AI is accurate; we don't know if it’s human. The Efficiency-Flourishing Gap AI enables a
Health AI Governance Charters - towards a balanced framework
A framework for clinician-balanced healthcare AI governance frameworks.
The Sovereign Clinician: Decision Rights, Override, and the Future of Medical Judgment
An analysis of how decision rights and override protocols impact medical judgment. The systemic shifts mean for the future of clinical expertise.
Quantifying the Unmeasurable Core of Patient Care
A new, quantifiable composite index designed to rigorously assess the psychological, social, and existential well-being of patients as a direct outcome of their patient care experience.
From Strategy to Accountability
Governance must now evolve from policy to practice, measured not in frameworks adopted but in safety assured. Turning frameworks into patient-centered care requires action. Hospitals and health systems should: Include patients and frontline clinicians in governance committees to ensure real-world concerns and lived experiences shape AI policies. Mandate
The Governance Deficit: Why Healthcare AI Needs Guardrails Before Scale
One of the biggest challenges facing healthcare organizations is not just about implementing AI solutions, but about making sure to invest in data governance and bias detection strategies.
"Only Problem Patients Read These Forms"
How do we handle informed consent when it is viewed as a nuisance? There are strategies we can all handle to make informed consent truly informed.
Adoption vs. Trust: Clinicians Lean In; Patients Stay Cautious
As a Responsible AI in Healthcare Strategist I find that I continually have to juggle the rapid adoption of healthcare AI against the real concerns many patients, like myself, feel with the rapid adoption of AI in the healthcare setting.
How to Talk To Your Patient About AI
Three simple ways to talk to your doctor about AI. Not only will this increase knowledge, but it will help you have a stronger relationship.
Patients AI Bill of Rights - The Foundation
The concepts of creating a patient's bill of rights, including a respect for persons, beneficence, and justice, as outlined in the Belmont Report.
Your Chatbot Therapist Is Listening. But Who Else Is?
In the search for accessible mental health support, millions have turned to AI chatbots. These digital tools promise a confidential, stigma-free space to discuss our deepest anxieties.