For MSOs and IPAs

Your network negotiates as one. See it priced as one.

MedReveal benchmarks every member practice in your network against the same negotiated-rate market — so you can see who is underpaid, standardize the outliers, and bring real data to the next payer renewal instead of one clinic's anecdote.

Why networks use MedReveal

Built to see the whole network, not one practice

One view of the whole network

Every member practice, every payer, every code, in one place — instead of chasing down what each clinic thinks it gets paid.

Find who is underpaid

Benchmark each member against the same market distribution. A practice sitting below the network median is a standardization target, not a guess.

A concrete recruitment pitch

Show a prospective practice exactly what the network's negotiated rate gets them for the codes they actually bill, before they sign on.

One negotiation, not fifty

Walk into a payer renewal with the network-wide rate distribution behind you, not one clinic's anecdote about what they think is fair.

What the output looks like

One master rate, priced across the market

An MSO/IPA typically sets one fee schedule for the whole network — here, an illustrative 120% of Medicare, flat across every code. Below is that same rate benchmarked against five real orthopaedic surgery code distributions in TX.

Network master rate · 120% of MedicareOrthopaedic SurgeryTXProfessional rates
Network master rate benchmarking report: Orthopaedic Surgery professional rates in TX, five billing codes, against Medicare
CodeNetwork ratePercentileMinQ1MedianMeanQ3P95Medicare
27447Total knee arthroplasty$1,454.6831st$918.63$1,401.10$1,610.36$1,860.27$2,030.65$3,312.69$1,212.23
27130Total hip arthroplasty$1,458.3231st$919.80$1,410.92$1,610.41$1,868.76$2,075.93$3,540.45$1,215.27
29827Shoulder arthroscopy, rotator cuff repair$1,219.3347th$725.09$1,057.06$1,239.66$1,426.34$1,573.14$2,531.03$1,016.11
29881Knee arthroscopy, meniscectomy$640.1350th$365.95$549.75$641.92$749.53$824.51$1,444.17$533.44
20610Arthrocentesis, major joint$84.4475th$30.97$52.94$64.58$75.51$83.73$142.05$70.37

Source: UHC published negotiated rates, professional billing class, filtered to Orthopaedic Surgery taxonomies, TX. Medicare reference: Medicare, Houston locality, non-facility, CMS Physician Fee Schedule 2025. Network rate is a flat 120% of Medicare per code — illustrative, not a real network's fee schedule.

Peer comparison: five members, one market

This is the view a payer comparison can't give you — every member practice plotted on the same market distribution for CPT 27447, Total knee arthroplasty, so you can read one member directly against another, not just against the market. Member 2 and Member 3 sit either side of the network median; Member 1 is the network's clearest standardization target.

12345$820$1,376$1,932$2,488$3,044$3,600
Q1–Q3MedianMeanMedicare $1,212#Member practice

UHC, Orthopaedic Surgery providers, TX · whiskers are Tukey bounds (1.5×IQR)

Negotiated rate distribution for CPT 27447 from UHC, Orthopaedic Surgery providers, with every member practice's own rate marked against it.
Member practice rates for CPT 27447, against the market distribution and Medicare
MemberRatevs network medianvs Medicare
1Member 1$918.63$-691.7376%
2Member 2$1,401.10$-209.26116%
3Member 3$1,610.36+$0.00133%
4Member 4$2,030.65+$420.29168%
5Member 5$2,874.49+$1,264.13237%
How it works

From member roster to a network-wide ask

01

Map the network's code mix

Pull the codes that actually drive volume across member practices — the services the network bills most, not a generic list.

02

Benchmark every member

For each code and payer, place every member's contracted rate against the full market distribution for that market and specialty.

03

Find the standardization targets

Members below the network median are the clearest, most defensible renegotiation targets — the gap is arithmetic, not opinion.

04

Bring the ask to the next renewal

Whether it's one member's contract or the network's master agreement, the ask is backed by the same data every payer already has.

What networks build with it

Member standardization

Identify which member practices are paid below the network median for high-volume codes, and quantify what closing that gap is worth.

Recruitment and retention

Give a prospective member a real rate comparison, not a sales pitch — and give existing members a reason the network is worth staying in.

Collective payer negotiation

Bring the market distribution across every member to the table when negotiating the network's master fee schedule with a payer.

Value-based contract benchmarking

Compare a proposed capitation or risk arrangement against the fee-for-service market it replaces, code by code.

Questions MSOs and IPAs ask

Can we benchmark every member practice at once?
Yes. Each member's contracted rate can be placed against the same market distribution for its code, payer, and specialty — so the whole network is visible in one pass, not one practice at a time.
Does this work for value-based or capitated contracts?
The underlying data is fee-for-service negotiated rates and Medicare, but that is exactly the reference point most risk arrangements are priced against — so it works as the benchmark either way.
Where does the rate data come from?
Payer machine-readable files published under the CMS Transparency in Coverage rule, plus the CMS Medicare Physician Fee Schedule. It is disclosed data — we organize and index it, we do not survey or estimate it.
Can we use this for a recruitment conversation?
Yes — showing a prospective member what the network's negotiated rate gets them for their own code mix is one of the more direct uses of this data.
How current is the data?
Negotiated-rate files are republished by payers on a monthly cadence and we index each new release. Medicare rates track the current CMS Physician Fee Schedule and its annual conversion factor.

See where your network actually stands

Send us your member roster's code mix and payer set. We'll come back with the market distribution for each and what standardizing the outliers is worth.