The same drug.
The same supplier.
Nine different prices.
Inside one health system, identical drugs sell at wildly different prices, and no one in the middle is paid to bring them down. RX Parity is the independent advocate that audits every contract across your hospitals, finds the best price one of them already pays, and gets every other account that same price.
contract
Plain ribavirin is a generic that costs pennies. Aerosolized as Virazole, the same molecule nebulized to treat RSV in transplant and cancer patients, it runs about $30,000 a vial. One health system was paying anywhere from $18,920 to $31,470 for the identical vial.
No one is paid to
bring your prices down.
The partners between you and your distributors are paid on the volume that flows through them, not on your savings. So prices drift, contracts lapse, and the gaps go unnoticed. The same drug ends up at a different price in nearly every hospital you run. RX Parity is the part that's missing: an independent set of eyes, paid only when you save.
Where the money leaks
A contract that never got loaded
One hospital negotiates a price. The other accounts were simply never added to the agreement, so they keep paying list.
Different agreements, same drug
Accounts land on different tiers or contracts over time. Identical molecules, identical suppliers, very different unit prices.
A deal that quietly lapsed
A negotiated price runs out and reverts. Nobody on the other side of the table is paid to flag it, so the higher price just sticks.
The right contract, the wrong price
Same agreement, same terms, but the price loaded incorrectly into one account's system. Invisible until something compares the two.
None of it is your team's fault, it's what happens when a system grows by acquisition, runs hundreds of contracts, and renews them across separate systems. We assume the drift is there, find it line by line, and bring it back.
See it in real data →$12.25B of spend on a single data sheet.
$563.8M of it was overpaid.
Recoverable by hospitalannual basis
overpay rateHospital 5 already pays near-parity at 1.2%. If Hospital 9 matched it on their 26,807 shared products, it would save $168.8M.
This isn't a spreadsheet. It's a machine built for this.
Behind every finding is a proprietary machine-learning engine built for this. It ingests millions of messy line items across everything your hospitals buy, recognizes the same product when nothing else lines up, learns each system's negotiated price bands, and flags every overpayment with a reason, a confidence score, and the best path to recover the most. The four-question logic below is simply how it shows its work.
Entity resolution
Recognizes the same drug across every hospital even when NDCs, descriptions, pack sizes, and supplier names don't line up. The hard part a spreadsheet can't do.
Anomaly detection
Statistical models learn each system's negotiated price bands and surface the lines that fall outside them, the overpayments hiding in millions of rows.
Cross-account benchmarking
Establishes the true best price across every account and contract, then scores every other line against it automatically.
Explainable classification
Each flag is labeled with the reason it's recoverable and a confidence score, so the output is defensible line by line, not a black box.
- 1Q1 · CoverageIs this drug priced at two or more hospitals?No → Insufficient Coverage, excludedYes → Continue
- 2Q2 · DiscrepancyDo all hospitals that bought it pay the same price?No → ContinueYes → Aligned, no action
- 3Q3 · Contract presenceAre any hospitals on a contract for this drug?No → No ContractYes → Mixed → Partial Contract · All → continue
- 4Q4 · Contract matchAre all hospitals on the same contract?No → Contract MismatchYes → Same Contract · Different Price
Some hospitals sit on the contract, others were never added. A roster gap, usually the fastest fix and the single largest recovery pool.
Anyone can read a price list.
Almost no one can do this.
A proprietary engine, not a spreadsheet
Proprietary machine-learning models, trained on a deep base of purchasing data and built for one job: finding price parity across everything your hospitals buy, at a scale and accuracy manual review can't reach, then mapping the best path to recover the most. It is the core of what we do, and it is ours.
Independent, and on your side
We don't broker your contracts and we don't take a cut of your spend. We answer to you, and we're paid only from what we save you. No one in your supply chain has that incentive.
Built for the hardest data
Hospital purchasing data is messy, fragmented, and inconsistent across sites. Cleaning and reconciling it is exactly what our engine was built to do, and where everyone else gives up.
The result is a finding your team can take to a distributor and defend, produced by technology your GPO doesn't have and your team doesn't have to build.
Every discrepancy,
traceable to the line.
When we walk your team through the findings, nothing is a black box. Six connected views, each drillable to the exact drug, account, and contract, so every dollar we flag is something you can verify, defend to your board, and act on.
Overview
Total spend and recoverable across the whole system, on an annual and a pure per-unit basis, the cash impact and the underlying pricing gap, side by side.
Hospital head-to-head
Rank every account by overpay rate, then run any hospital against any other on shared drugs: what would Hospital 9 save at Hospital 5's prices? ($168.8M, on 26,807 shared products.)
Product drill-down
Search any drug and see every hospital's price, volume, contract status, and the spread between best and worst, the line-level evidence behind every dollar.
Contract intelligence
Every contract on file, the spend and recoverable underneath it, and exactly which NDCs to clean up or renegotiate first.
Network map
See spend and recovery laid across every campus in the system, where the opportunity physically sits.
Classification workflow
The full decision tree, transparent and inspectable. Every NDC's classification is defensible, line by line, the reason it's collectible.
Know exactly which supplier to call first.
Recoverable dollars roll up by manufacturer and distributor, so negotiation effort goes where the money actually sits, not where it's loudest.
Recovery, not a projection.
We don't hand you a number and wish you luck. First we identify every leak across your hospitals. Then we go and recover the funds for you: documented credits on what you've overpaid, and corrected prices going forward so the gaps stay closed.
Send us your data
The supplier and contract data you already have, the kind your distributors and GPO send you. No new software, no integration project, no rip-and-replace.
We audit every line
Each drug is matched across every hospital in your system. We surface the price discrepancies, the expired and missing contracts, and the best price one of your own hospitals already pays.
We renegotiate for you
We take the findings to your distributors on your behalf, correcting roster gaps, reloading mispriced contracts, and bringing every outlier account down to your best negotiated price.
You keep the savings
Recovered overpayments come back as documented credits, and your forward prices hold at parity. We're paid from what we recover, never from how much you spend.
You only pay from what we save you.
There's no upfront fee and no software to buy. We find the leaks, recover the funds, and our fee comes out of the savings we actually deliver. If we don't find anything, you owe us nothing.
Two analysis bases ship side by side: an annual view weighted by real volume, and a per-unit view that isolates the pure pricing gap, so no finding ever rests on an assumed quantity.
Reads the purchase + contract feeds you already export. No rip-and-replace.
Every dollar traces to a specific NDC, account, and contract status.
Per-unit basis available so findings never rest on assumed quantities.
We surface identified, documented recoverable, not speculative savings.
If the same drug crosses more than one ship-to account, parity is leaking.
The more accounts, contracts, and acquisitions in your system, the wider the gap, and the larger the recovery. RX Parity scales from a handful of campuses to nationwide networks.
Integrated Delivery Networks
Multi-hospital systems where the same drug crosses dozens of ship-to accounts.
Academic Medical Centers
Complex case mix, specialty products, and high-cost device and supply spend.
Community Hospital Networks
Regional systems consolidating contracts across newly acquired sites.
Rural Health Networks
Smaller accounts most exposed to roster gaps and missing contract coverage.
Bank-grade security,
end to end.
Sharing a data sheet means trusting us with it. We treat that seriously: your information is encrypted with the same technology that protects the financial system, moved over channels you control, and never used for anything but your analysis.
AES-256 encryption
The same standard banks and governments use to protect their most sensitive data. Your files are encrypted in transit and at rest.
Encrypted, private transfer
Your files move over an encrypted, access-controlled channel, never email attachments, under a signed confidentiality agreement before anything changes hands.
HIPAA-aligned handling
We work with pricing and contract data, not patient records, and handle everything to HIPAA-aligned standards regardless.
Yours, and only yours
Your data is never pooled, sold, or shared. You can ask us to purge it the moment our work is done.
Illustrative. No real data is shown.