VNDRIQ — Category Comparison
Scheduling Vendor Comparison
Online appointment booking, scheduling, and calendar management tools.
Typical PHI Exposure
Medium — appointment context may include clinical reason for visit.
Common Risks
Third-party booking platforms handling PHI without BAA.
Recommended Approach
BAA preferred. Evaluate what clinical data is captured during booking.
Zocdoc
Scheduling
63
Score
Zocdoc
Scheduling
53
Score
LocalMed
Scheduling
53
Score
Zocdoc
Scheduling
45
Score
Executive Summary
This category contains 4 vendors in the VNDRIQ registry. Zocdoc has the highest VNDRIQ score (63) in this category. PHI exposure in this category is typically medium — appointment context may include clinical reason for visit.
4
Total Vendors
1
Approved / Restricted
4
BAA Verification Needed
Governance Considerations for Scheduling
BAA preferred. Evaluate what clinical data is captured during booking.
Common risks include: Third-party booking platforms handling PHI without BAA.
All vendors in this category should be reviewed for BAA status before processing PHI.
Establish a regular review cadence for all Scheduling tools.
Questions to Ask Before Approval
Has the vendor executed a Business Associate Agreement (BAA) with your organization?
Does the vendor use customer data to train AI models? Can you opt out?
Where is PHI stored, processed, and transmitted?
What data retention and deletion policies apply to your PHI?
Has the vendor undergone a third-party HIPAA or SOC 2 audit?
What is the vendor's incident response and breach notification process?
Does the vendor offer audit logging for PHI access?
What subprocessors have access to PHI through this vendor?
Recommended For
Healthcare organizations evaluating vendors in this category for PHI workflows
DSOs and dental groups standardizing vendor governance across locations
Compliance teams conducting annual vendor risk reviews
IT directors building HIPAA-aligned vendor registries
PE-backed healthcare operators implementing governance frameworks
Healthcare administrators assessing AI tool adoption risk
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