One platform replaces $500K+ in vendor fees per deal. EBITDA analysis, valuation modeling, 2,655 deal comps, 34M referral pairs, physician productivity benchmarking, payer market concentration, compliance screening, financial trending, litigation history, all at from $199/month.
Definitive Healthcare
Market screening, volumes, provider data
PitchBook
Comparable transactions, deal comps
Kaufman Hall / Big-4
Financial due diligence, strategy
VMG Health / ECG
FMV opinions, physician valuations
Law firm (manual)
Compliance checks, exclusion screening
Westlaw / Lexis
Litigation research, court case history
Total per deal
$400K–$890K+Ask in plain English. Follow up to drill deeper. One conversation replaces weeks of data gathering.
Acquisition Scorecard
One query: quality scores, financials, specialty mix, revenue concentration, competitive landscape, litigation history, and CMS deficiencies. The entire CIM data layer in seconds.
You ask
“Run a due diligence scorecard on Cedars-Sinai”
Then follow up
“How does their quality compare to the 5 closest competitors? Are we buying a leader or a laggard?”
“Their litigation is trending up, what are the recent cases about? Pull the full court opinions.”
EBITDA Analysis & Valuation Modeling
Instant EBITDA, operating margins, and payer mix for 6,100+ hospitals. Model valuations with category-specific multiples (for-profit 7–10×, nonprofit 8–12×, teaching 9–13×, critical access 5–7×). Low/mid/high enterprise value range in seconds.
You ask
“What’s the EBITDA and estimated valuation range for this hospital?”
Then follow up
“How does their EBITDA margin compare to peer hospitals in the same state?”
“What’s driving the margin, is it payer mix or cost structure? Show me Medicare vs Medicaid vs commercial split.”
Financial Trending (5–7 years)
Revenue, margin, beds, discharges, FTE trends from CMS cost reports. EBITDA trajectory over time. See if this hospital is growing or dying.
You ask
“Show me revenue, EBITDA margin, and payer mix trends for this hospital since 2018”
Then follow up
“Their EBITDA margin dropped 8 points in 2023. What drove it, revenue decline or cost increase?”
“Compare their financial trajectory to the 3 peer hospitals in the same metro.”
Referral Network Analysis
34M physician-pair referral patterns. See who refers patients to a hospital, who refers out, and where the concentration risk is. If a top referrer leaves, what happens to volume?
You ask
“Map the referral network for this hospital, who are the top 20 referring physicians?”
Then follow up
“What percentage of inbound referrals come from the top 5 physicians? Is that a concentration risk?”
“Are any of the top referrers also on the acquisition target’s payroll? Flag potential self-referral issues.”
Market Share Estimation
What % of knee replacements in Dallas does this hospital do? Medicare utilization data shows competitive positioning by procedure.
You ask
“What’s our target’s market share for cardiac surgery in Texas?”
Then follow up
“Who are the top 5 competitors for this procedure? Are any of them gaining share?”
“If we add spine surgery post-acquisition, what does the competitive landscape look like for that?”
Payer Market Concentration
Insurer market share by state across individual, small group, and large group markets. HHI concentration index shows how much negotiating leverage each payer has. Critical for projecting post-acquisition revenue.
You ask
“What’s the payer market concentration in Texas? Who dominates individual vs group markets?”
Then follow up
“If UnitedHealth has 40% share in this market, what’s our leverage in rate negotiations post-deal?”
“Compare payer concentration in our target’s state vs the states where we already operate.”
Deal Comps
2,655 healthcare M&A transactions from SEC 8-K filings (2019–2025). Filter by sector, state, deal size, and year. Median deal size $62M. See what buyers paid for similar assets.
You ask
“Find comparable healthcare M&A deals in the Southeast, physician practices, last 3 years”
Then follow up
“What’s the median price-to-revenue multiple for physician group acquisitions in 2024?”
“Show me the largest hospital acquisitions in Texas since 2020, who bought what and for how much?”
Physician Productivity Benchmarking
wRVU-based productivity per physician benchmarked against national specialty percentiles. See if each physician is producing at the 25th, 50th, 75th, or 90th percentile for their specialty.
You ask
“Benchmark the productivity of the top 10 billers in this physician group”
Then follow up
“Which physicians are below the 25th percentile? Are they worth retaining post-acquisition?”
“For the high producers, are their wRVUs driven by volume or high-complexity procedures?”
Revenue Concentration Risk
If the top surgeon leaves, what % of revenue walks out? Key-person dependency analysis from Medicare billing data.
You ask
“Show me revenue concentration, how dependent is this practice on its top 3 billers?”
Then follow up
“For the top biller, are they taking pharma payments? What’s their compliance risk profile?”
“Can we enforce a non-compete in this state if they try to leave?”
Reimbursement Rate Comparison
Are this hospital’s rates above or below market? 6B+ negotiated rates from 6,100+ hospitals show exactly where contracts stand.
You ask
“Compare this hospital’s knee replacement rates to the state median by payer”
Then follow up
“Which payers are they getting the best deal from? Which ones are underpaying vs market?”
“If we renegotiate the bottom 3 payer contracts to market median, what’s the revenue upside?”
Ownership Chain Analysis
Find every hospital a parent company owns. Combined quality, beds, revenue across the entire system.
You ask
“Show me all HCA hospitals, quality scores, beds, and revenue for each”
Then follow up
“Which facilities in the chain are high-risk? Any on CMS watch lists or with declining quality?”
“What’s the combined revenue and margin across the entire system?”
Provider Retention Risk
Flag providers with deactivated NPIs or recent address changes. Know who’s leaving before the deal closes.
You ask
“Are any of this practice’s providers showing signs of leaving?”
Then follow up
“For the ones who changed addresses recently, where did they go? Are they at a competitor now?”
Compliance Screening (130+ sources)
Screen every provider at the target against 130+ federal and state enforcement databases. Replaces weeks of law firm research.
You ask
“Screen all 253 providers at this hospital, who has flags?”
Then follow up
“For the flagged providers, what’s the severity? Which are hard stops vs which need review?”
“Are any of the flagged ones also top billers? What’s the revenue at risk if we have to terminate them?”
Litigation History & Court Cases
10M+ US court cases with full opinion text. See total lawsuits, trends by year, which courts, and read the actual opinions. Reverse citation lookup shows how influential a case is. Replaces Westlaw/Lexis for due diligence litigation research.
You ask
“How many lawsuits has this hospital been involved in? Show me the trend by year.”
Then follow up
“Which courts hear the most cases? Are they concentrated in state or federal court?”
“Pull the full opinion for the 2019 malpractice case, what happened and what was the outcome?”
“What cases cite that opinion? Is it still being relied on as precedent?”
Malpractice Exposure
1.9M malpractice and adverse action reports from NPDB plus 530K payment records with state, year, and allegation-type analytics. See avg, median, and max payouts by specialty and geography. Benchmark the target’s exposure against industry norms before pricing the deal.
You ask
“What’s the malpractice payment history for providers at this hospital?”
Then follow up
“What’s the average payout trending at? Is severity going up even if frequency is down?”
“Which specialties have the highest exposure? Compare to state averages for those specialties.”
Clinical Trial Portfolio
Active trials at the target facility. Ownership changes can disrupt federally funded research, that’s regulatory risk.
You ask
“Are there active clinical trials that would be disrupted by this acquisition?”
Then follow up
“Who are the PIs on these trials? Are they employed by the target or independent?”
Not clean, SaaS-y queries. These are the messy, multi-domain questions a deal team actually asks on Monday morning, each one normally means calling three vendors and a Big 4 team.
“We’re looking at a 45-physician orthopedic group in Dallas. Screen all their docs for compliance, show billing volumes and quality, and tell me if any of them are a flight risk.”
“Map the referral network, what % of admissions come from the top 5 physicians? Of those, how many are employed vs. independent, and which ones have compliance flags?”
“Pull the full opinions from their two most recent malpractice cases. What were the allegations, and are the named physicians still at the target?”
“What’s the EBITDA, valuation range, and 5-year margin trend? If there’s a bankruptcy year in there, normalize it out.”
“Does Texas require a Certificate of Need to add a cath lab? And can we enforce non-competes on the physicians we’re acquiring in that state?”
“Find every hospital this parent company owns. Combined quality, any facilities on CMS watch lists, and flag any with litigation trending up.”
Medistill vs Definitive Healthcare
Market intelligence at $100K–$200K+/yr. We cover the same data plus EBITDA/valuation modeling, deal comps, referral networks, compliance, and rates.
See full comparison →Medistill vs PitchBook
Broad deal comps at $30K–$50K+/yr. We have 2,655 healthcare-specific transactions plus EBITDA modeling, referral networks, compliance, and litigation.
See full comparison →Medistill vs Kaufman Hall
Advisory engagements at $200K–$500K/deal. We provide instant EBITDA, valuation modeling, and financial trending for 6,100+ hospitals at from $199/mo.
See full comparison →Medistill vs VMG Health
Formal FMV opinions at $50K–$100K/deal. We provide the data layer, wRVU benchmarking, compensation percentiles, EBITDA modeling, before you engage an appraiser.
See full comparison →Pricing
Pro $199 / 500 credits · Business $499 / 1,500 credits · Unlimited $999 ($9,990/yr) · Team from $599/seat
Full access to all 2,000+ datasets. No per-query fees. 1 credit per entity processed.
No credit card required. Expires in 15 days.