MD-Staff vs Verifiable
An established standalone platform against a Salesforce native CVO, and organisational fit decides it. MD-Staff is the incumbent system of record: a four decade credentialing, privileging, and peer review platform run by a hospital's own medical staff office, deployed across a reported 2,000 facilities, Best in KLAS five years running, candid that AI does not make decisions, and dependent on no particular CRM. Verifiable runs credentialing natively inside the customer's Salesforce instance, alongside CRM data and in infrastructure the customer already governs, as an NCQA certified CVO offering software, services, or both, which is a strong fit for Salesforce shops and a poor one otherwise. Both keep AI light, graded C. If your failure mode is a proven standalone platform your team operates, start with MD-Staff. If your organisation runs on Salesforce and wants credentialing native to it, start with Verifiable.
- A complete, proven system of record: credentialing, privileging, peer review, and committee tooling run by the customer's own staff, in place across a reported 2,000 facilities over four decades, named Best in KLAS five consecutive years, with no dependency on any particular CRM.
- The clearest AI boundary in the category, graded A on autonomy: MD-Staff states plainly that AI does not make decisions, its Aiva engine handling gathering and checks while the professional reviews flagged discrepancies.
- Range across organisation size, scaled explicitly from small community hospitals to large state health systems, and a specific verification integration list spanning AMA, NPDB, OIG, and SAM.
- A native fit for Salesforce organisations: credentialing runs inside the customer's own Salesforce instance, alongside CRM data and in infrastructure the customer already governs, which is also a meaningful residency answer.
- An NCQA certified CVO with flexible delivery: license the software in house, use the certified verification services, or combine them, with a reported throughput upwards of 225 packets per specialist per month.
- A newer, automation first build for organisations that want credentialing embedded in their existing operational system rather than a standalone platform.
Side-by-Side
| Axis | M MD-Staff |
V Verifiable |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model and Technology Transparency | ||
| Clinical and Operational Evidence | ||
| AI Safety and PHI Stewardship | ||
| HIPAA and BAA Posture | ||
| Security Certifications and Trust Center | ||
| FDA and Regulatory Status | ||
| AI Governance and Bias Disclosure | ||
| EHR and Interoperability Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Setting and Specialty Coverage |
Both grade C on AI centrality and both are platforms rather than pure services, but they suit different organisations. MD-Staff is a standalone system of record with four decades of adoption and no stack dependency, and it is not a CVO. Verifiable is a Salesforce native CVO whose fit is gated almost entirely by whether the organisation runs on Salesforce, a strong fit there and a poor one elsewhere. MD-Staff earns an A on autonomy for candour about AI limits where Verifiable sits at B. Evidence is thin and vendor reported on both, C on each, MD-Staff leaning on adoption and Best in KLAS, Verifiable on a concrete throughput figure. Neither publishes pricing or model accuracy, though both name their integration surfaces. The decision turns on standalone platform versus Salesforce native, and on whether you want a CVO or a system your own team runs.