Build a ranked shortlist
When it may fit: Several candidates exist and resources are limited.
Evidence needed: Size, trend, share gap and strategic fit for each.
Trade-off: Ranking can over-weight what is easy to measure.
Hospital Intelligence Brief
Public data is good at pointing to places worth a closer look. It is poor at telling you whether the place is worth entering.
How do you use public data to find opportunities without chasing volume that will not pay?
Market data invites opportunity-hunting: a service where share is low, a market that is growing, a competitor that is slipping. Some of these are real opportunities. Many are not, because volume without margin, capacity or fit is not an opportunity.
This matters because acting on a screen without testing it can mean building services that never earn back their cost.
A disciplined opportunity screen has two stages:
Verified fact Public discharge data supports stage one. Stage two needs the hospital’s own financial and operational data, which public sources do not contain.
In the synthetic market, stage one produces a short list. Illustrative Overall share moved from 27.7% to 26.4%, while outmigration rose from 10.2% to 11.2%. Within categories, our discharges fell in Obstetrics, Orthopedics and Oncology. General Surgery grew 5.4%.
Calculated A raw screen might say “Orthopedics and Oncology are losing share, so invest there.” But that is only a flag. Oncology is a small category (267 discharges in FY26) where a few cases move share a lot. Orthopedics is larger, but whether it pays depends on contribution per case, which this dataset does not contain.
Information gap That is the point of the two-stage screen. Stage one produced questions. Stage two, which needs contribution per case, capacity and physician availability, decides whether any of them is an opportunity. Public data alone cannot clear that bar.
4. Explore the interactive experience
Hospital Market Explorer: a market dashboard comparing a five-hospital market by service category, an outmigration capture scenario, evidence-linked answers from APIS, and a sample brief, all on synthetic data.
The experience below uses a synthetic five-hospital market built to look like public discharge data. It is not New York data, or data for any real market, and every figure is illustrative. The counts are discharges, not dollars.
A screen produces candidates. These options describe how to take candidates forward without over-committing.
Two Pillars can help hospital leadership investigate market, financial, operational, and strategic questions using relevant organizational data, public information, and a structured assessment process. A good first step is a two-stage opportunity screen: public market data first, then your own financial and operational evidence.