All Comparisons/eSignature

VNDRIQ — Category Comparison

eSignature Vendor Comparison

Compare eSignature vendors on BAA status, PHI exposure, and HIPAA suitability.

PandaDoc

eSignature

53

Score

Conditional / Verify BAAVerify Directly
Privacy38
Governance51
Healthcare44
AI Risk79
HighLow

Adobe Acrobat Sign

eSignature

53

Score

Conditional / Verify BAAVerify Directly
Privacy38
Governance51
Healthcare44
AI Risk79
HighLow

Dropbox Sign

eSignature

53

Score

Conditional / Verify BAAVerify Directly
Privacy38
Governance51
Healthcare44
AI Risk79
HighLow

DocuSign

eSignature

53

Score

Conditional / Verify BAAVerify Directly
Privacy38
Governance51
Healthcare44
AI Risk79
HighLow

Executive Summary

This category contains 4 vendors in the VNDRIQ registry. PandaDoc has the highest VNDRIQ score (53) in this category.

4

Total Vendors

0

Approved / Restricted

4

BAA Verification Needed

Governance Considerations for eSignature

All vendors in this category should be reviewed for BAA status before processing PHI.

Establish a regular review cadence for all eSignature tools.

Questions to Ask Before Approval

01

Has the vendor executed a Business Associate Agreement (BAA) with your organization?

02

Does the vendor use customer data to train AI models? Can you opt out?

03

Where is PHI stored, processed, and transmitted?

04

What data retention and deletion policies apply to your PHI?

05

Has the vendor undergone a third-party HIPAA or SOC 2 audit?

06

What is the vendor's incident response and breach notification process?

07

Does the vendor offer audit logging for PHI access?

08

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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