Our Approach
Healthcare AI infrastructure decisions carry regulatory, operational, and patient safety implications that require specialized advisory. The infrastructure required to run clinical AI workloads — patient data processing, imaging analysis, clinical decision support, and operational AI — must meet HIPAA and other regulatory requirements while maintaining the availability and resilience standards that clinical operations demand.
LegacyGrid's role is to provide independent technical advisory that helps healthcare organizations evaluate AI infrastructure options, verify vendor representations, and ensure that infrastructure decisions are aligned with clinical, regulatory, and operational requirements.
Engagement Model
Independent AI infrastructure readiness assessment
Regulatory and compliance requirements analysis
Vendor evaluation and representation verification
Owner-side technical review during procurement
Infrastructure governance and performance monitoring
Key Considerations for Healthcare
HIPAA and regulatory compliance requirements for AI infrastructure
Patient data governance and security architecture
Clinical continuity and availability requirements — infrastructure resilience for patient safety
Vendor evaluation — independent review of AI infrastructure vendor representations and compliance claims
Integration with existing clinical and operational systems
Long-term scalability for growing AI workload requirements
Questions We Help Answer
What regulatory and compliance requirements apply to our AI infrastructure?
What availability and resilience standards are required for clinical AI workloads?
What vendor representations require independent verification before commitment?
How do we ensure patient data governance requirements are met across the infrastructure stack?
What integration requirements apply to our existing clinical and operational systems?