Patient-led, evidence-informed insights on medical AI

Practical takeaways for clinicians, health leaders, and recruiters.

Read latest insights Subscribe for updates

Dan Noyes | Medical AI Strategies & Patient Design

Sign in Subscribe

Latest

From Strategy to Accountability

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 continuous monitoring

The Governance Deficit: Why Healthcare AI Needs Guardrails Before Scale

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"

"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

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

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

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?

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.

The Patient's AI Bill of Rights: Part 4 - A Hospital AI Implementation Framework

The Patient's AI Bill of Rights: Part 4 - A Hospital AI Implementation Framework

Bringing Beneficence, Respect for Persons, and Justice Together in Practice Why share? With so many voices clamouring for our attention with all things AI, I must first state that my voice is that of a patient who lived through a sentinel event. I have seen how AI could have prevented

My Sentinel Event

My Sentinel Event

Leveraging Artificial Intelligence to Proactively Reduce Medical Sentinel Events Executive Summary This is personal. I had a life-altering sentinel event that haunts me to this day. The neurologist made a mistake. A big mistake. He overprescribed a medication by nearly 200 times the recommended dosage. I am fortunate to be

Justice in a Patient Bill of Rights

Justice in a Patient Bill of Rights

Justice is a critical part of a patient's bill of rights which demands that we actively design systems to close, not widen, existing health disparities.

Confronting Bias, Safety, and Governance in Healthcare AI

Confronting Bias, Safety, and Governance in Healthcare AI

Best practices in confronting data bias, system safety, and data governance in your medical AI solutions.

The Promise and Reality of AI in Global Health

The Promise and Reality of AI in Global Health

AI represents a critical opportunity to address one of the most pressing moral challenges of our time: the fact that 4.5 billion people—nearly half of humanity—lack access to essential healthcare services.

Healthcare AI Validation: The Critical Gap in Post-Market Monitoring

Healthcare AI Validation: The Critical Gap in Post-Market Monitoring

Despite rapid adoption, a significant majority of AI models (81%) experience performance degradation when deployed in external datasets, with nearly a quarter (24%) showing substantial decreases and 12% experiencing complete failure.

The MedGemma Model Courtesy of Google

MedGemma: Comprehensive Analysis

MedGemma is Google DeepMind's groundbreaking collection of AI models specifically optimized for medical text and image comprehension. This is an executive summary covering the basics of this core part of medical AI.

AI Healthcare from a Patient's Perspective - Dan Noyes

Dan Noyes brings over 25 years of digital marketing expertise to the evolving field of artificial intelligence in healthcare. As a patient receiving care for a chronic medical condition, Dan offers unique patient-led insights into how AI can transform medical care, data governance, AI data bias detection while improving patient outcomes, and provide meaningful emotional support through AI agents.

Evidence-Informed AI Healthcare Content

This publication provides practical, research-backed insights for clinicians, healthcare leaders, and medical AI recruiters. Each article combines patient experience with the latest peer-reviewed research on AI applications in healthcare, including diagnostic AI, clinical decision support systems, and AI-powered patient engagement tools.

Topics I Cover

Healthcare Data Governance and Bias Detection Consulting
Chronic Care Management Strategies through healthcare AI
Strategic patient-centered perspectives on AI implementation in clinical settings
Evidence-based approaches to healthcare AI in improved patient care and safety
Real-world applications of healthcare AI technology

Whether you're a healthcare professional exploring AI integration, a recruiter seeking medical AI talent, or a patient advocate interested in the future of care, this resource provides actionable insights grounded in both evidence and lived experience.

Learn more about Dan's journey | Read featured articles |