VNDRIQ — Decision Support
Decision Support Resource Center
Educational guides and checklists to support healthcare AI vendor evaluation, procurement, security review, and AI governance.
How to Compare AI Vendors
A structured approach to side-by-side vendor evaluation across compliance, security, and AI governance.
How to Compare AI Vendors
A structured approach to side-by-side vendor evaluation across compliance, security, and AI governance.
- 1Define your primary use case and required data types before comparing.
- 2Shortlist 2 to 3 vendors from the same category for a fair comparison.
- 3Compare HIPAA status, BAA availability, and PHI exposure risk first.
- 4Evaluate AI training policy, data retention, and human oversight requirements.
- 5Review security certifications (SOC 2, ISO 27001, HITRUST) and integration support.
- 6Use the VNDRIQ comparison center to generate a shareable, printable report.
AI Procurement Checklist
End-to-end procurement steps from vendor discovery through contract execution.
AI Procurement Checklist
End-to-end procurement steps from vendor discovery through contract execution.
- 1Confirm the AI use case and whether PHI will be processed.
- 2Verify BAA availability and scope before any PHI workflow.
- 3Request security documentation (SOC 2, ISO 27001, penetration tests).
- 4Validate EHR or PMS integration requirements and timeline.
- 5Review data retention, subprocessors, and training opt-out terms.
- 6Obtain legal and compliance sign-off before contract execution.
Healthcare AI Evaluation Guide
Clinical and operational evaluation criteria for healthcare AI products.
Healthcare AI Evaluation Guide
Clinical and operational evaluation criteria for healthcare AI products.
- 1Assess clinical influence level: documentation, advisory, decision support, or autonomous.
- 2Confirm human review and clinician attestation workflow.
- 3Review FDA status and clearance for clinical decision support tools.
- 4Evaluate patient-facing output controls and notice requirements.
- 5Test against representative clinical workflows before deployment.
Vendor Demo Questions
Questions to ask during vendor demonstrations to surface risk and fit.
Vendor Demo Questions
Questions to ask during vendor demonstrations to surface risk and fit.
- 1How is PHI segregated from training data, and can training be disabled?
- 2What is the data retention period for prompts, transcripts, and outputs?
- 3Which EHR or PMS integrations are production-validated today?
- 4How are AI outputs reviewed and attested by a clinician?
- 5What incident notification and breach response commitments exist?
Security Review Checklist
Security due diligence checklist for AI vendor onboarding.
Security Review Checklist
Security due diligence checklist for AI vendor onboarding.
- 1Confirm encryption at rest and in transit are enabled by default.
- 2Verify SSO, MFA, RBAC, and audit logging availability.
- 3Review the most recent SOC 2 Type II report and remediation status.
- 4Validate subprocessor disclosure and cross-border data transfer controls.
- 5Confirm vulnerability disclosure program and breach history.
HIPAA Evaluation Guide
How to evaluate HIPAA compatibility and BAA coverage for AI vendors.
HIPAA Evaluation Guide
How to evaluate HIPAA compatibility and BAA coverage for AI vendors.
- 1Determine whether the vendor is a Business Associate for your use case.
- 2Confirm a BAA is executed before any PHI is processed.
- 3Verify which services or tiers are in BAA scope (not all may be covered).
- 4Review AI training opt-out and zero-data-retention options.
- 5Document consent and notice workflows for ambient recording where applicable.
AI Governance Checklist
Governance controls to require before deploying AI vendors.
AI Governance Checklist
Governance controls to require before deploying AI vendors.
- 1Establish an AI inventory entry for each deployed vendor.
- 2Define human oversight and escalation for AI-assisted decisions.
- 3Confirm model lifecycle, version tracking, and rollback support.
- 4Configure policy enforcement and audit logging for AI actions.
- 5Schedule recurring review based on vendor risk tier and review frequency.
AI Purchasing Best Practices
Procurement best practices to reduce risk in AI vendor contracts.
AI Purchasing Best Practices
Procurement best practices to reduce risk in AI vendor contracts.
- 1Negotiate data retention, deletion, and portability terms before signing.
- 2Require subprocessor notification and approval rights.
- 3Include security and compliance attestations as contract exhibits.
- 4Build renewal and exit planning into the original agreement.
- 5Align contract terms with the VNDRIQ review frequency for the vendor.