7.8 Overall
MD-STAFF

MD-Staff

Recommend Scored Oct 2026

MD-Staff is credentialing, privileging, and provider information software for hospital medical staff offices, with online applications, primary source verification, peer review, and payer enrollment.

mdstaff.com

Strong fit

  • Hospitals and health systems whose medical staff offices credential and privilege practitioners
  • Systems that want credentialing, privileging, peer review, and payer enrollment in one database
  • Organizations moving many facilities onto one credentialing system

Weak fit

  • Health plans that want a credentialing verification organization to do the work for them
  • Small practices that only need payer enrollment
  • Buyers who need a published price list
MD-Staff product interface

Bottom line

MD-Staff, made by Applied Statistics & Management in Temecula, California, is credentialing and privileging software for hospital medical staff offices. It covers online applications, primary source verification, electronic privileging, committee review, ongoing and focused practitioner evaluations, and payer enrollment. It fits health systems that want a long-established, highly rated system to run the medical staff office.

Score breakdown

8.2
Credentialing cycle time
8.1
Medical staff office software
7.5
Moving credentialing onto MD-Staff
6.6
Knowing what you will pay

Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.

Applied Statistics & Management is a family-owned company. Trung Phan founded it in 1982 and led it until he retired in August 2024, and his son, Nick Phan, is now president and CEO.

MD-Staff keeps every practitioner's file in one database, and separate modules handle each step around it. Doctors apply online through MD-App. E-Priv handles requests for clinical privileges and their approval. Virtual Committee lets credentials committee members review files and vote online instead of waiting for a meeting. MD-Stat runs peer review along with the ongoing and focused evaluations of practitioners that hospitals must keep (known as OPPE and FPPE).

Two more pieces cover the rest of the job. Managed care and enrollment modules handle applications to insurers, and since a 2024 partnership with Checksome, MD-Staff can check licenses and other credentials with the original sources in real time.

The track record is long. MD-Staff has more than 3,000 clients, and it has won the Best in KLAS award for credentialing six years in a row, most recently in 2026. Its KLAS grades include an A+ for loyalty and A grades for culture, relationship, and value.

Customers also report real time savings. In the KLAS Credentialing 2022 report, customers said the time to appoint a new practitioner fell from 90 days to under 30 once their workflows were automated. At a larger scale, NYC Health + Hospitals, the largest public health system in the United States, moved more than 12,000 providers onto MD-Staff during the pandemic with help from the consulting firm AlphaRidge.

MD-Staff is software your own staff runs, so other tools may suit buyers who want something different. Medallion and CertifyOS make more sense if you want a vendor to handle much of the credentialing and enrollment work for you, with modern connections to your other systems. Verifiable suits health plans and networks that want automated checks, with the option of an NCQA-certified verification service. Modio Health fits groups and facilities that mainly need a shared place to store credentials. Incredable suits mid-sized teams that want to set up their own credentialing steps.

Competitor landscape

VendorOverallEase of implementation
MD-Staff7.87.5
Medallion7.77.3
CertifyOS7.77.4
Verifiable7.16.9
Modio Health6.86.8
Incredable6.86.6

Pricing

ItemDetail
ModelA license and subscription contract, priced by Applied Statistics & Management for each customer.
What usually drives costHow many facilities and practitioners you have, which modules you license (MD-App, E-Priv, MD-Stat, Virtual Committee, and managed care and enrollment), the work to move your data over, and hosting.
What to ask before you buyHow much each module adds per practitioner or facility, what it costs to move records from your current system, and how much real-time verification through Checksome adds.
Published pricingMD-Staff does not publish a price list.

Prerequisites for purchase

NeedWhy it matters
What you need to get MD-Staff to function
Medical staff office leaderSomeone has to own credentialing policy.
Clean practitioner records for conversionErrors in old records carry over into the new system.
Bylaws and privileging criteriaThey decide how the forms and steps are set up.
Current time to appoint a practitionerLets you measure the improvement later.
Committee members trained on online reviewApprovals move faster.
What will maximize your value
Turn on online applications firstFewer emails and calls with applicants.
Run practitioner evaluations in MD-StatKeeps ongoing and focused evaluations (OPPE and FPPE) up to date.
Add real-time verificationChecks with original sources take less time.
Deal-breakers
You want the vendor to do the credentialing work
You have no staff to run the system
You only need enrollment with insurers

Value creation time frame

#StageTypical range
1Contract and data conversion2-4 months
2Credentialing and privileging live1-3 months
3Peer review, enrollment, and more facilities6-12 months
Methodology
WeightFactorWhat it measures
35%Customer outcomesWhether buyers get measurable operational or clinical-workflow results after go-live
30%ProductCapability depth, reliability, and fit for the job the category buys
20%ImplementationHow hard it is to stand up, integrate, train, and stabilize
15%Pricing clarityWhether a buyer can model total cost without a mystery quote
LabelMeaning
Highly recommendStrong outcomes and product with manageable caveats
RecommendSolid fit for the right buyer; know the tradeoffs
ConditionalOnly with a specific use case or heavy caveats
Not recommendedAvoid for most buyers in this category

Read our full methodology for how we weight scores and assign recommend labels.