AI adoption is moving faster than most healthcare compliance programs can review. VNDRIQ gives healthcare operators a structured way to evaluate AI vendors, cloud platforms, practice systems, marketing tools, and automation software before protected health information or sensitive business data is exposed.
The Problem
Healthcare organizations are now surrounded by AI tools, automation platforms, cloud software, call tracking systems, chatbots, scribes, analytics scripts, and vendor integrations. Many of these tools can touch patient information, employee data, practice data, call recordings, web forms, or clinical workflows.
The risk is not just whether a vendor says it is "secure." The real question is whether the vendor can be approved for the specific use case, data type, contract structure, support access model, and healthcare workflow involved.
Data Points
HIPAA Compatibility
Whether the vendor meets or supports HIPAA technical and administrative safeguard requirements.
BAA Availability
Whether a Business Associate Agreement is available, required, or conditional.
AI Training Policy
How the vendor handles customer or patient data in relation to model training and fine-tuning.
Data Retention
How long vendor systems retain customer, user, or patient-generated data.
Support Access Risk
Whether vendor support teams have access to production data, PHI, or sensitive records.
Hosting Model
Whether the vendor is cloud-hosted, self-hosted, hybrid, or on-premise.
Healthcare Focus
Whether the vendor is purpose-built for healthcare or a general-purpose platform.
Approved Use Cases
Specific workflow contexts where the vendor may be used under the current review status.
Restricted Use Cases
Contexts where use is limited, prohibited, or requires additional controls.
Approval Status
Current operational status — Approved, Approved With Conditions, Review Required, or Not Recommended.
AI Trust Score
A composite score reflecting AI governance readiness, data handling, and healthcare suitability.
Vendor Risk Level
Overall risk classification from Low Risk through High Risk based on PHI exposure and governance gaps.
Governance
Vendors that may be suitable for defined healthcare use cases after required configuration and contract controls.
Vendors that may be usable only with specific restrictions, BAA confirmation, configuration controls, or PHI limitations.
Vendors that need additional legal, compliance, security, or implementation review before use.
Vendors that should not be used for PHI, regulated workflows, or sensitive healthcare operations without major risk mitigation.
DSOs & Dental Groups
DSOs and growing dental groups face a unique vendor risk problem. One team may approve a marketing tool, another may test an AI scribe, another may add call tracking, and another may connect a new cloud platform. Without a central review process, vendor risk becomes fragmented across offices.
VNDRIQ helps leadership create a single source of truth for vendor approval, restricted use cases, BAA tracking, and AI risk visibility across locations.
Fragmented vendor approvals across offices
BAA tracking gaps in fast-growing groups
AI tools adopted without compliance review
Marketing platforms capturing patient data
Unapproved scribes in clinical workflows
Use Cases
The registry is designed to support compliance teams, operations leaders, IT, and security reviewers in evaluating software before it reaches clinical or administrative environments.
Registry Preview
OpenAI API Healthcare
AI Infrastructure
Approved With ConditionsAnthropic Claude Enterprise
AI Infrastructure
Approved With ConditionsGoogle Vertex AI
AI Infrastructure
Approved With ConditionsAWS
Cloud Infrastructure
Approved With ConditionsMicrosoft Azure
Cloud Infrastructure
Approved With ConditionsGoogle Cloud
Cloud Infrastructure
Approved With ConditionsArchy
Dental Practice Management
Review RequiredPearl AI
Imaging AI
Review RequiredVideaHealth
Imaging AI
Review RequiredAbridge
Ambient AI
Review RequiredDeepScribe
AI Scribes
Review RequiredCallRail
Marketing
Review RequiredGet Started
Most healthcare AI risk does not begin with a formal enterprise rollout. It starts when employees test tools, connect software, upload files, use AI assistants, install browser extensions, activate chat widgets, or record calls without a centralized review process. The VNDRIQ Healthcare AI Vendor Registry helps leadership move from scattered software adoption to controlled vendor governance.
FAQ