AIGOVHEALTH AI Governance Implementation Playbook for US Digital Health Provider
64 professional files (6 PDFs + 58 Excel workbooks) | 349+ spreadsheet tabs | 2,730+ rows of structured content | 11 organised folders
AI governance is no longer optional. Regulators, boards, and customers now expect documented controls across the entire model lifecycle, from use case selection through retirement. Most organisations have policies on paper but struggle to operationalise them: unclear ownership, inconsistent risk tiering, thin monitoring, and gaps between data, model, and product teams create exposure that only surfaces during an incident or audit.
WHAT YOU GET: A THREE-PHASE JOURNEY
Phase 1: Diagnose. Seven domain assessments (30 questions each, 210 total) score your maturity across Regulatory Compliance Framework, Ethical AI Principles, Organizational Governance Structure, and related areas. You can complete the Quick Scan diagnostic in under an hour and know exactly where the biggest gaps and opportunities sit.
Phase 2: Set Goals. Five PM template workbooks with roadmaps, RACI matrices, milestone trackers, risk registers, and stakeholder communication plans. These lock in scope, timeline, and accountability before a single line of implementation work starts, which is consistently where programmes succeed or stall.
Phase 3: Implement. Nine operational runbooks and checklists covering deployment, incident response, vendor and third-party handling, and day-to-day operations. Every runbook is built to be followed by a working team, not read and filed. Pro tips, example rows, and common-mistake callouts give you the benefit of hard-won practitioner experience from the first day.
7 DOMAIN ASSESSMENTS (210 QUESTIONS)
• Regulatory Compliance Framework
• Ethical AI Principles
• Organizational Governance Structure
• Risk Management and AI Safety
• Data Governance and Lifecycle Management
• Model Development and Validation
• Clinical Integration and Workflow Design
9 OPERATIONAL RUNBOOKS
• AI Governance Committee Meeting Preparation Checklist
• AI Model Deployment Runbook
• AI Model Revalidation Cycle Tracker
• Chief AI Officer Monthly Operations Checklist
• Clinical AI Incident Response Protocol
• Data Bias Detection and Correction Handoff Protocol
• EHR AI Integration Quality Assurance Checklist
• Patient Informed Consent for AI Use Process Map
• Third Party AI Vendor Onboarding to Exit Checklist
The full kit also includes a practitioner-grade library of PM forms spanning all five PMBOK process groups, KPI dashboards, risk and compliance registers, and reference cards. Every template comes pre-populated with domain-specific example data so your team can start editing, not staring at blank rows. You get a consistent operating system across diagnostic, planning, delivery, and sustainment, which is how mature programmes compound improvement year over year.
WHO THIS IS FOR: Chief AI Officers, AI risk and compliance leads, model governance teams, and consultants running AI assurance engagements.
Aligned with leading industry standards and PMBOK project management practice.
Instant download. Start your first assessment within the hour.
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Source: Best Practices in Artificial Intelligence, Healthcare Excel: AI-GOVHEALTH AI Governance for US Digital Health Playbook Excel (XLSX) Spreadsheet, Gerard Blokdijk
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