Healthcare AI Governance & Algorithmic Compliance Consulting
Last updated: April 2026
59% of healthcare organizations have no formal AI pre-implementation approval process. IHS builds the documented governance programs that satisfy FDA, ONC HTI-1, CMS, and state law — and that hold up when regulators ask questions.
The Compliance Gap Is Already Costing Healthcare Organizations
AI deployment in healthcare has outpaced governance. The consequence is not theoretical: OCR, CMS, and state attorneys general are beginning to scrutinize algorithmic decision-making in coverage, prior authorization, and clinical settings. The organizations that cannot produce documented governance evidence — AI inventories, bias audits, transparency logs — are exposed.
The regulatory landscape is converging simultaneously. ONC HTI-1 transparency requirements became enforceable in early 2026. Colorado's AI Act takes full effect in June 2026. The EU AI Act mandates compliance for high-risk medical AI by August 2, 2026. Texas SB 1188 already requires licensed practitioner review of AI-generated clinical content. Organizations that have not begun governance program development are behind.
What IHS Delivers
IHS builds operational AI governance programs — not strategy memos. Every deliverable maps to a specific regulatory requirement and is structured to withstand audit by FDA, ONC, CMS, or state enforcement bodies.
AI Governance Charter & Committee Structure
Formal governance charter establishing committee composition, decision rights, approval workflows, and escalation protocols. Structured to satisfy CMS RADV audit documentation requirements and Colorado AI Act algorithmic impact assessment mandates. Includes role-level RACI and meeting cadence.
AI Inventory & Shadow AI Detection
Comprehensive inventory of all AI tools deployed across clinical, administrative, and vendor workflows. Shadow AI detection protocol to identify unapproved tools entering through vendor channels or departmental procurement. Structured against the HAIGS inventory standard. Over 90% of healthcare organizations currently rely on ad hoc discovery or vendor release notes — both of which are insufficient for regulatory purposes.
ONC HTI-1 Source Attribute Documentation
Transparency documentation for predictive Decision Support Interventions deployed in certified EHR systems: training data demographics, exclusion criteria, known model limitations, and intended use parameters — formatted for clinical end-user accessibility as required by ONC HTI-1 Section (b)(11). Includes enforcement discretion timeline mapping for February 2026 USCDI v3 requirements.
Intervention Risk Management (IRM) Records
Risk analysis documentation for each predictive algorithm covering validity, fairness, safety, and security (FAVES criteria). IRM records serve as the core evidence package for both internal governance approvals and external regulatory review — including FDA pre-submission meetings and CMS audit response packages.
Algorithmic Bias & Health Equity Audits
Statistical audits demonstrating algorithm performance across demographic subgroups — race, ethnicity, age, gender, socioeconomic status, and disability status. Structured to satisfy CMS and OCR health equity scrutiny, Colorado's algorithmic impact assessment requirement, and California AB 316 liability standards. IHS URAC health plan accreditation experience provides direct crossover expertise.
FDA SaMD Compliance Documentation
Pre-submission strategy, 510(k) or De Novo pathway selection, and Predetermined Change Control Plan (PCCP) design for AI/ML-enabled medical devices. FDA cleared approximately 1,200 AI/ML devices cumulatively through 2025, with 97% using the 510(k) pathway. Average review time is 150 days — documentation quality directly affects timeline. IHS supports both initial submission and post-clearance PCCP maintenance.
AI Vendor BAA Review & Remediation
Review and remediation of Business Associate Agreements with AI vendors to address PHI handling, model training data use restrictions, breach notification protocols, and subprocessor management. Addresses OCR Minimum Necessary Standard requirements for PHI used in continuous model training.
State AI Law Compliance Mapping
Jurisdiction-specific compliance analysis covering Colorado SB24-205, California AB 489 and AB 316, Texas SB 1188, Utah SB 149/SB 226, and Illinois AI laws — with ongoing monitoring as legislative activity accelerates. For organizations with European operations: EU AI Act high-risk AI classification analysis and August 2026 mandatory compliance roadmap.
How an Engagement Works
A full AI governance program build takes 6–12 months across five phases. Most clients complete the gap assessment in 2–6 weeks — enough to understand exposure and prioritize remediation before the next regulatory deadline.
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01
Planning, Scoping & Gap Assessment 2–6 weeks
Shadow AI scan across vendor contracts and departmental procurement. Regulatory mapping against FDA, ONC, CMS, and applicable state laws. Gap analysis against NIST AI RMF, HAIGS, and HITRUST CSF AI scope. Deliverable: prioritized remediation roadmap with regulatory deadlines and estimated resource requirements.
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02
Remediation & Policy Development 4–12 weeks
The most labor-intensive phase. Produces: AI Governance Charter, IRM records for each algorithm, ONC HTI-1 source attribute documentation, algorithmic bias impact assessments, BAA rewrites, security controls for data poisoning and adversarial attack vectors, SBOM for clinical AI systems.
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03
Mock Survey / Pre-Assessment 3–6 weeks
Internal audit against HAIGS or HITRUST r2 with AI scope. Identifies remaining gaps before formal assessment. Corrective action plan with remediation assignments and deadlines.
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04
Validated Assessment 1–4 weeks
Formal audit by ONC-ATL certified laboratory (for health IT certification) or HITRUST Assessor (for HITRUST r2). IHS supports document preparation, assessor Q&A, and corrective action response.
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05
Certification & Ongoing Maintenance
Certification decision followed by continuous maintenance: annual ONC real-world testing, HAIGS three-year audit cycle, HITRUST r2 two-year renewal, ongoing PCCP documentation for FDA-cleared devices. IHS offers standing maintenance advisory services.
Why Healthcare Organizations Choose IHS Over General AI Consultants
General AI Governance Consultants
- Strategy frameworks, not operational documentation
- Cross-industry methodology not calibrated to healthcare regulatory specifics
- No URAC/ACHC/NCQA accreditation context — cannot position AI governance as part of existing compliance posture
- Big 4 pricing: multi-year retainers exceeding $2,000,000+
- No practitioner-facing ONC HTI-1 implementation experience
Integral Healthcare Solutions
IHS is the only URAC-certified accreditation consulting firm in the United States.
- Operational documentation that satisfies FDA, ONC, CMS, and state law audit requirements — not strategy memos
- Healthcare-exclusive practice: URAC, ACHC, NABP, NCQA accreditation experience provides direct regulatory crossover
- AI governance positioned as add-on to existing accreditation engagements — one consulting relationship covers multiple compliance vectors
- Mid-market pricing without Big 4 overhead
- Health equity and algorithmic bias expertise drawn directly from URAC health plan accreditation work
- State AI law compliance mapped to existing state-level health plan regulatory posture
The market gap is at the operational execution layer. IHS delivers documented workflows, not strategy presentations — and our healthcare accreditation background means every AI governance deliverable is calibrated to the regulatory environment our clients already operate in.
Thomas G. Goddard, JD, PhD — Founder, Integral Healthcare Solutions
Who We Serve
Medicare Advantage & Managed Care Health Plans
CMS RADV audit exposure from AI-assisted coding. Prior authorization AI scrutiny from CMS and state regulators. Colorado HB 1139 prohibition on AI-only coverage denials. URAC health plan accreditation crossover.
Health Systems & Acute Care Hospitals
FDA SaMD compliance for clinical AI tools. ONC HTI-1 transparency requirements for EHR-integrated decision support. Algorithmic bias audits across high-risk clinical algorithms. AI governance committee design and charter development.
Health IT Vendors & EHR Developers
ONC HTI-1 certification for predictive DSI transparency. USCDI v3 baseline compliance. FDA 510(k) documentation for AI-enabled software features. Vendor BAA remediation for PHI used in model training.
Specialty Pharmacies
AI-assisted clinical decision support governance in dispensing workflows. URAC/NABP accreditation integration. AI vendor risk management for pharmacy management systems.
Behavioral Health & Mental Health Providers
State AI disclosure and prohibition law compliance (California AB 489 effective January 2026). AI chatbot and virtual care governance. Patient-facing AI transparency documentation.
Medical Device Manufacturers
FDA 510(k)/PMA pathway strategy for AI/ML-enabled devices. PCCP design and documentation. Post-market drift monitoring program development. Average FDA review time: 150 days — documentation quality matters.
Common Questions
- Which healthcare organizations need an AI governance program?
- Any organization deploying AI in clinical, coverage, or administrative decisions. This includes health plans using AI in prior authorization, hospitals with clinical decision support tools, EHR vendors subject to ONC HTI-1, and medical device manufacturers. 59% of healthcare organizations currently lack a formal AI pre-implementation approval process — a gap that creates both regulatory exposure and board-level liability. See all FAQs →
- What does IHS deliver — and what does it cost?
- IHS delivers operational AI governance documentation: AI Governance Charter, IRM records, ONC HTI-1 source attribute documentation, algorithmic bias impact assessments, Predetermined Change Control Plans, AI vendor BAA remediation, and incident response playbooks. Project-based engagements range from $75,000 to $250,000+ depending on scope and organization size. This compares to Big 4 enterprise retainers exceeding $2,000,000+.
- How does healthcare AI governance connect to our existing URAC or ACHC accreditation?
- Directly. IHS positions AI governance as an extension of the health plan and pharmacy accreditation work we already do. Your URAC health plan accreditation already requires health equity and quality management infrastructure — algorithmic bias auditing builds on that foundation rather than creating a separate compliance program from scratch.
Start With a Gap Assessment
Most healthcare organizations are further behind on AI governance than they realize — and regulatory deadlines are already passing. A gap assessment establishes exactly where your organization stands against FDA, ONC, CMS, and state requirements, and what it will take to close the gaps before your next audit or accreditation cycle.
Request Your AI Governance Gap Assessment