Healthcare pricing transparency, built for whoever you are
Pricing transparency reshaped healthcare, but only for those who can turn billions of raw data points into decisions. Whatever your role in the system, SumHealth gives you the clarity to act on it.
- 9 audiences served
- Nationwide coverage
- One trusted dataset
price variation for the same care, a problem every audience in healthcare now faces.
- Hospitals covered nationwide 5,000+
- Payers normalized into one dataset 200+
One dataset. Every side of healthcare pricing.
Each audience faces a different version of the same problem: prices that were never meant to be seen. Choose your role to see how SumHealth turns that opacity into an advantage.
Know the price before you go
Healthcare is the only thing most people buy without ever seeing the price first, then get a bill weeks later with no way to tell if it's fair.
- No price before treatment
- Wild price swings nearby
- Bills full of overcharges
Get paid fairly for your care
Independent practices and provider groups rarely know whether their payer rates are competitive, and without a data team, the raw transparency files are impossible to use.
- No benchmark to push back
- Paid less for the same care
- No data team to lean on
Negotiate from data, not guesswork
For decades, hospitals have negotiated payer contracts without knowing what their competitors are paid for the very same care.
- Negotiating in the dark
- Silent underpayment
- Unusable raw data
Price networks competitively
Every rate you negotiate is now visible to the providers across the table, and to your competitors.
- Pricing blind to the market
- Providers arrive informed
- Blind spots by geography
Contain plan spend without cutting benefits
When you self-insure, every inflated charge and over-negotiated rate comes straight out of your bottom line, and your employees' paychecks.
- Overcharges hit your plan directly
- Rising costs, fewer levers
- Stop-loss exposure you can't model
Win clients with pricing transparency
Your clients expect you to control their healthcare spend, but without independent pricing data, you're advising on costs you can't actually see.
- No way to verify "fair"
- Commoditized offering
- Slow, manual research
Deliver insight that wins business
Your recommendations are only as credible as the data behind them.
- Raw data isn't analysis-ready
- Credibility rests on the source
- Coverage gaps skew findings
Build on clean pricing data
Building a pricing feature on raw transparency files means standing up a data pipeline that ingests, parses, and normalizes terabytes of inconsistent MRF data, before you ship a single screen.
- Ingestion is a project, not a feature
- Data goes stale fast
- Real-time pricing is hard
Power studies with real pricing data
Healthcare price transparency created an unprecedented research opportunity, and an unprecedented data problem.
- Massive, messy raw files
- Inconsistent structure
- Coverage gaps undermine rigor