Provincial Health Network
Provincial Health Network was evaluating AI technologies across clinical operations, administrative services, and patient support functions. Leadership wanted to ensure innovation remained aligned with patient trust, privacy expectations, and governance requirements. Clariantix conducted an Enterprise AI Trust Assessment™.
Challenge
Healthcare leaders needed visibility into AI deployment, data governance, privacy controls, vendor relationships, and accountability structures.
Assessment Findings
The assessment identified several areas for improvement.
- Multiple AI Initiatives: several AI projects were underway simultaneously.
- Documentation Gaps: not all systems were consistently documented.
- Governance Inconsistencies: approval processes varied by department.
- Vendor Oversight Opportunities: additional governance controls were recommended.
Deliverables Provided
The assessment produced a comprehensive set of executive-ready deliverables.
- AI Trust Score™ — Overall Score: 64 / 100; Governance Maturity: Developing
- Executive Briefing™ — summarized risks, opportunities, and governance priorities
- Board Summary™ — provided executive oversight visibility
- Risk Register™ — catalogued governance, privacy, and operational risks
- Compliance Gap Analysis™ — identified governance controls requiring enhancement
- Remediation Roadmap™ — phased path toward stronger governance maturity
Outcome
Following implementation, AI inventory creation began, governance responsibilities were clarified, vendor oversight improved, and executive reporting increased.
Key Lesson
In healthcare, trust is as important as innovation.
Strong governance helps organizations pursue both.
"In healthcare, trust is as important as innovation. Strong governance helps organizations pursue both."
- Healthcare AI evaluation must balance innovation with patient trust, privacy, and governance.
- Common findings include multiple simultaneous initiatives, documentation gaps, inconsistent governance, and vendor oversight opportunities.
- The AI Trust Assessment™ provides score, executive briefing, board summary, risk register, gap analysis, and roadmap.
- Improvement areas include AI inventory, clarified responsibilities, vendor oversight, and executive reporting.
- In healthcare, trust is as important as innovation — strong governance enables both.