HealthcareAI Governance

Anonymized engagement summary — Hospital Network AI Governance Framework

Last updated October 21, 2026 by Errin O'Connor, Founder & Chief AI Architect, EPC Group

AI Governance for Clinical and Administrative AI

Regional Hospital Network

4 months

6 consultants

HIPAA

Security Rule controls configured

15+

AI Projects Enabled

Governance phases delivered

FedRAMP High

Azure P-ATO, not EPC

8,000+

Employees Trained

Ethics

AI Ethics Committee established

Outcome figures on this page are EPC Group engagement data for an anonymized client, recorded by the delivery team at project close. They are not independently audited, and no client-issued measurement is published for them. How EPC Group counts · Documented engagements

Client not named at EPC Group's discretion; this record is EPC-reported and is not part of the Evidence Center classes.

Overview

A regional hospital network wanted to leverage AI and machine learning to improve patient outcomes while maintaining strict HIPAA compliance. The organization needed a comprehensive governance framework to enable innovation while ensuring patient data protection, ethical AI use, and regulatory compliance.

The Challenge

The hospital network faced critical governance and compliance requirements:

No existing AI governance framework or policies in place
Strict HIPAA requirements for all patient data used in AI models
Ethical concerns around AI decision-making in clinical settings
Lack of AI expertise among clinical and administrative staff
Need to balance innovation velocity with safety and compliance
Integration of AI with existing Epic EHR and clinical workflows

Our Solution

EPC Group developed a comprehensive AI governance framework tailored for healthcare:

Phase 1: Framework Design

Designed AI governance framework with policies, procedures, and oversight committee structure.

Phase 2: Ethics Committee

Established AI Ethics Committee with clinicians, data scientists, legal counsel, and patient advocates.

Phase 3: Technical Controls

Implemented Azure AI services with Private Link, data encryption, audit logging, and access controls.

Phase 4: Training & Education

Delivered AI literacy training for clinical staff and advanced training for data science team.

Results & Impact

HIPAA

Security Rule controls configured

Private Link, encryption, audit logging and access controls (Phase 3) were configured to the HIPAA Security Rule controls listed in the engagement scope; no compliance percentage is claimed

15+

AI Projects Enabled

Safe AI deployment across clinical areas

Governance phases delivered

Framework design, ethics committee, technical controls, and training (see the Solution phases)

FedRAMP High

Azure P-ATO, not EPC

EPC Group holds no FedRAMP authorization. Azure and Azure Government each hold a FedRAMP High P-ATO issued by the FedRAMP Joint Authorization Board (Microsoft Learn, Federal Risk and Authorization Management Program (FedRAMP), accessed 2026-10-21); this record does not state which Azure cloud the network used

8,000+

Employees Trained

AI literacy program completion

Ethics

AI Ethics Committee established

Clinicians, data scientists, legal counsel, and patient advocates review clinical AI use (Phase 2)

Quick Facts

Client: Regional Hospital Network
Industry: Healthcare
Service: AI Governance
Duration: 4 months
Team Size: 6 consultants

Technologies Used

Azure AI ServicesAzure Machine LearningPower BIMicrosoft 365Azure PolicyPurview

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