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HEALTHCARE AI GOVERNANCE FRAMEWORK
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HYDROG7N
THE FOUNDATION
AI
GOVERNANCE
The most foundational and important element in Healthcare AI Governance.
Governing AI the right way
From the board room to the bedside.
CREATED BY
Edreco
Amos
CREDENTIALS
DHA
RN
FACHE
— Governing AI the right way, from the board room to the bedside
THE PROBLEM
Why AI
Governance
Matters Now

Healthcare AI is one of the most powerful tools ever introduced to medicine. It is also one of the most ungoverned.

Fast growth
Healthcare AI is expanding rapidly. Most organizations are not ready.
Real harm
Without structure, AI can cause real harm to real patients. This is not theoretical.
Not a brake
Governance is not about slowing AI down. It is about making it safe and sustainable.
The stakes
Getting it wrong means: liability, patient harm, regulatory action, and loss of trust.
THE FRAMEWORK
What Is
Hydrog7n

A practical, end-to-end AI governance framework built specifically for healthcare, not just researchers or regulators. Think of it as your organization's playbook for doing AI the right way.

NIST AI RMF
Risk management foundation
ISO/IEC 42001
Management system structure
OECD AI PRINCIPLES
Ethical baseline
IBM AUTO AI GOV
Operational tooling model
THE MODEL
3 Layers of
Governance
01
AUTHORITY
Who Is Accountable?
Board of Directors C-Suite Leadership AI Governance Committee
02
PROCESS
How Do We Manage AI?
Program Mgmt Office Lifecycle Gate Framework Risk Classification
03
TECHNICAL
How Do We Build & Monitor AI?
AI Engineering Teams Data Science Controls Model-Level Monitoring
Governance flows downward  ·  Accountability flows upward
GOVERNANCE STRUCTURE
The 7
Governance Tiers
T1
Board of Directors Sets the rules and the values
T2
C-Suite Leadership Owns the program
T3
AI Governance Committee The decision-making body
T4
AI Program Management Office Keeps everyone on track
T5
Clinical & Operational Teams Where AI meets the patient
T6
AI Engineering & Data Science Builds and monitors the AI
T7
The AI Model Itself Every model is a governed object
TIERS 1 & 2
Leadership
Accountability
AI governance starts at the top, not in the IT department.
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The Board approves the AI strategy, sets ethical principles, and declares what risks are acceptable.
The C-Suite owns execution. The CMIO, CRO, CCO and CISO each carry specific AI responsibilities.
If something goes wrong with AI at your organization, leadership is accountable, not just the vendor.
TIER 3
The AI Governance
Committee
Think of this as your organization's AI quality committee, the body that makes governance real.
Who sits at the table
Clinical Leaders Legal Compliance Privacy Cybersecurity IT Ethics
Reviews every new AI use case, classifies risk, approves or blocks deployment, and manages vendor relationships.
Meets monthly with a 10-business-day turnaround commitment for all new use case reviews.
Has authority to approve risk exceptions, require additional controls, or block deployment entirely.
RISK CLASSIFICATION
The 4 Risk Levels
The golden rule: the closer AI gets to a patient decision, the more governance it needs.
L1
ROUTINE
No patient data. Email, scheduling, admin tasks. Lowest governance burden.
L2
OPERATIONAL
Aggregated or de-identified data. Bed management, staffing models. Moderate governance.
L3
CLINICAL
Patient data supporting a clinician's decision. Full governance stack required.
L4
HIGH-STAKES
AI acts autonomously or makes primary diagnoses. Board approval required.
LIFECYCLE GATES
How AI Earns the
Right to Be Deployed
No gate, no deployment. Every gate has a documented decision.
G1 INITIATION Is this a good idea? Register it and classify the risk.
G2 DESIGN & DATA Is the data safe and fair? Plan how it will be built.
G3 VALIDATION Does it work for all patients equally? Independent testing required.
G4 PRE-DEPLOYMENT Is everything in place before we go live? Staff trained, override tested, monitoring active.
G5 IN-PRODUCTION Is it still working? Ongoing review every 30–90–180 days.
CORE PRINCIPLE
Human Oversight:
The Non-Negotiable
AI is a tool that supports clinical judgment. It does not replace it.
Every AI system must have a human checkpoint before it can influence patient care.
Clinicians must be able to override, reject, or escalate any AI output at any time.
High-stakes systems must halt when not confident. They cannot guess and cannot deliver a degraded output.
This is called Human-in-the-Loop, built into Tiers 5 and 7 of the Hydrog7n framework.
EQUITY
Fairness: Built In,
Not Bolted On
AI that works well on average but fails for specific groups does not pass.
Fairness tested across
Race Sex Age Payer Type Disability Status
AI trained on incomplete or biased data will perform worse for some patients than others.
Hydrog7n requires fairness testing at Gate 3, before any clinical AI goes live.
This is how we prevent AI from widening health disparities instead of closing them.
Equity is a governance requirement in Hydrog7n. It is not an optional extra.
GETTING STARTED
What Your Organization
Needs to Do First
01 Form your AI Governance Committee, even a small one with the right people.
02 Build your AI use case registry. You cannot govern what you cannot see.
03 Classify every current AI system using the 4-level risk framework.
04 Apply the lifecycle gate framework to any new AI before it goes live.
05 Assign a named owner for every AI system in your organization.
Start small, but start now. Governance built incrementally is better than none at all.
COMMON QUESTIONS
What People Ask
Do we need all 7 tiers?
Most organizations can start with Tiers 3–5 and build from there.
What if we use vendor AI?
Hydrog7n applies to vendor systems too. Vendors must provide model cards and bias audits.
How long does governance take?
A Level 1 system can clear all gates in 2–3 weeks. Level 4 takes months, and it should.
Does this apply to AI in our EHR?
Yes. And to AI embedded in EHR platforms, and to AI in medical devices. All of it.
Is Hydrog7n a regulatory requirement?
Not yet, but it aligns with FDA AI guidance and prepares you for what is coming.
THE HYDROG7N PROMISE
Governing AI
the Right Way
✓ Gives your organization the structure to use AI confidently and responsibly.
✓ Protects patients by keeping humans in control of clinical decisions.
✓ Protects your organization by creating a defensible, documented governance trail.
✓ Positions you as a leader in the most important technology shift in healthcare.
Edreco Amos
DHA, RN, FACHE
Built by a healthcare leader, for healthcare leaders.
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