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For healthcare security, privacy, compliance, and risk leaders managing AI adoption.
AI is already showing up across healthcare workflows: clinical documentation, patient messaging, scheduling, coding, analytics, vendor platforms, meeting notes, and internal productivity tools.
The problem is not whether healthcare organizations will use AI. They already are.
The real problem is whether leaders can answer the questions that matter:
Which AI tools are in use?
Can any of them access PHI?
Who approved each use case?
What vendors are involved?
What risks were reviewed?
What policies and procedures exist?
What evidence can leadership, auditors, regulators, or customers review?
A generic AI policy is not enough. Healthcare AI governance requires inventory, risk assessment, vendor review, PHI boundaries, monitoring, incident response, and evidence.
Free Download
24 questions every healthcare security, privacy, and compliance leader should ask before AI touches PHI.
This free checklist helps healthcare leaders pressure-test whether their organization has the basic governance building blocks in place before AI tools become embedded in clinical, administrative, or vendor-supported workflows.
AI system inventory
PHI and sensitive data boundaries
AI vendor risk
BAA and data handling review
Patient-care decision support
Bias and discrimination risk
Logging, monitoring, and incident response
ISO 42001-aligned governance evidence
Identify sanctioned and unsanctioned AI tools across clinical, administrative, vendor, and internal workflows.
Define what data can and cannot be entered into AI systems, including PHI, patient messages, clinical notes, call transcripts, claims data, and screenshots from healthcare systems.
Evaluate AI vendors for data handling, BAAs, subcontractors, retention, logging, security controls, model use, and incident response.
Use ISO/IEC 42001 as a management-system structure for AI governance, roles, risk assessment, documentation, evidence, and continual improvement.
Address patient-care decision support, bias and discrimination risk, transparency, clinical validation, privacy, and operational accountability.
Build practical documentation, workflows, registers, matrices, checklists, and evidence that leadership and auditors can review.
Free Resource
Is your healthcare organization ready to deploy AI responsibly? Use this practical checklist to assess your governance posture — covering policy readiness, risk review, evidence standards, and compliance gaps — before your next AI initiative goes live.
Evaluate whether your AI policies are documented, approved, and aligned with regulatory expectations.
Identify gaps in your risk assessment process before AI tools touch patient workflows or clinical decisions.
Ensure your AI validation evidence meets clinical and compliance standards before deployment.
Coming Soon
Ironclad GRC is building practical resources for healthcare organizations that need to bring structure to AI governance without getting buried in theory.
Resources are being developed and released as part of Ironclad GRC's growing library of practical AI governance tools.
10 Resources in Development
Healthcare AI Governance Starter Kit
AI System Inventory Workbook
PHI-to-AI Usage Matrix
AI Vendor Intake Questionnaire
AI Acceptable Use Policy for Healthcare
AI Tool Approval SOP
AI Governance Committee Charter
ISO 42001 Alignment Worksheet
AI Risk Register Template
90-Day Healthcare AI Governance Roadmap
About Ironclad GRC
Ironclad GRC is being built by Tyler Boltz, CISSP and U.S. Army veteran, to help healthcare organizations turn AI governance from vague policy language into practical controls, documentation, workflows, and evidence.
Tyler's background includes cybersecurity, enterprise IT operations, technical leadership, and risk-focused process improvement in a Fortune 500 environment.
Ironclad GRC focuses on healthcare AI governance, ISO/IEC 42001 AI management systems, PHI-aware AI risk management, AI vendor review, and governance documentation for regulated organizations.
CISSP
U.S. Army Veteran
Healthcare AI Governance
ISO/IEC 42001
Fortune 500 Experience
Before AI tools touch PHI, patient workflows, vendor platforms, or clinical decision support, healthcare leaders need clear governance questions.