Rose
Insights.
NPI and organization lookup with practice analytics, referral networks, and payer mix at a glance.
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The Proactive Partnerfor AmbulatorySurgery Centers.
Built by researchers cited at
- Cornell
- UC Berkeley
- Stanford
- UC Davis
- NUS
- HBKU
- Birmingham
- Iowa State
No integrations needed. We bring the data, you bring the goal.
Questions teams ask Rose: How do my United rates for CPT 29881 compare to my market? Which orthopedic surgeons could fill my ORs? Who refers the most cases to my ASC? Should we build in Tampa or buy what is already running? Which ASCs in my territory fit our device?
Healthcare provider intelligence
Rates, surgeons, referrals, and whole markets
Rose is DataLily’s next generation AI for ASCs: ask in plain language, get a charted answer with the source behind it.
01Payer rate benchmarking · negotiated rates
Know what every payeractually pays.
- Benchmark commercial reimbursement rates by CPT
- Rank every payer against the market median
- Walk into your next UnitedHealthcare or Aetna renewal with the evidence
02Surgeon volume data · surgeon partner sourcing
Recruit the surgeons whodrive the cases.
- Procedure volume by physician, payer mix, alignment status
- Case mix matched against your ORs
- Ranked by the volume they could realistically bring
03Physician referral mapping · referral network analysis
Map the referrals behindevery case.
- Every referring physician behind your center
- See which relationships are growing and which drift
- Prioritize the next outreach by volume at stake
04ASC market analysis · site selection · acquisitions
Read a marketbefore you commit.
- ASC site selection: provider density and competition by radius
- Payer mix and procedure volume by specialty
- De novo build weighed against acquisition, for operators and private equity
05Medical device sales intelligence · selling to ASCs
Sell to the centers mostlikely to buy.
- Every ASC in your territory, ranked by fit
- Case volume, specialty mix, and ownership
- Fluent in each center’s economics before you walk in
The new standard for ASC intelligence
One market, five seats at the table: the same intelligence serves every one of them.
The promise
The market read that takes a week elsewhere, delivered in seconds.
Gold standard for market data.
Payer price transparency files, CMS claims, and NPI-level provider data: every answer traces back to the source.
100B+ data points across payer files and CMS claims
100B+10M+ providers mapped with referrals and payer mix
10M+Customer feedback
What early users are saying
The results were impressive andimmediately actionable.
The most appealingnon-traditional use of AIin the space I’ve seen in a while.
The analysis wasaccurate.We believe Rose can provide us value as we grow.
Rose’s physician-affiliation resultsalignedwith what we already knew.
Thousands of providers intoa focused listwe can actually pursue.
These arepretty important toolsfor an ASC developer.
Book a demo
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FAQ
Questions teams ask us
DataLily Insights is AI for ambulatory surgery centers: a healthcare provider intelligence platform combining provider analytics, claims data, and payer rate benchmarking from price transparency data.
What is a payer intelligence platform?
A payer intelligence platform aggregates negotiated rates, claims data, and contract terms across insurance payers so providers can benchmark and negotiate from data instead of guesswork. DataLily Insights layers AI on top: you ask in plain language, Rose answers with traceable numbers.
Payer intelligence, explainedWhat are payor contracts?
Payor (payer) contracts are the agreements between a healthcare provider and an insurance company that set reimbursement rates and terms. Reviewing them against market benchmarks is how ASCs and hospitals find under-market rates.
What’s the difference between payer and payor?How do I benchmark payer contracts in my region?
Pull every payer’s negotiated rate for your top CPT codes from price transparency data, compare your contracted rate against the market median and top quartile for your geography, and prioritize the contracts furthest below market. Rose does this in one question. Try “How do my United rates for CPT 29881 compare to my market?”
Payer contract benchmarking by CPTHow do you negotiate payer contracts?
Successful payer contract negotiations start with data: your volumes, your quality metrics, and what competing facilities are paid for the same CPTs. Walk into the renewal with market rate evidence, model counter-scenarios, and know your walk-away number.
The ASC payer contract negotiation playbookDo we need to integrate anything to use DataLily Insights?
No. Insights runs on data we already hold, so there is nothing to connect to your EHR, scheduling system, or clearinghouse and no IT project to schedule. We bring the data; you bring the goal.
What data does DataLily Insights use?
Public price transparency machine-readable files (hospital and payer MRFs), CMS claims and quality data, and NPI-level provider data: 100B+ data points across 10M+ providers, refreshed continuously.
DataLily Insights · Rose
See your whole market
Traceable data, benchmarked rates, and answers in plain language.
The action layer