Walk-in visits, acuity, wait times, and payer mix
Industry
Urgent care and walk-in clinic operations
Company size
16 walk-in centers across four metros
Visit scale
Roughly 750K walk-in visits
Throughput
About 65 visits per center per day, from roughly 35 at an express site to 100 at the largest center
Revenue scale
Synthetic gross charges in the low hundreds of millions
Dataset scope
9 Standard-tier tables
Quillane Urgent Care is a fictional regional walk-in clinic group created for synthetic BI demos and training. The business story is intentionally realistic but does not represent a real urgent-care brand, center network, patient population, clinician roster, or billing system. The kit presents a believable multi-site operation where BI builders move from monthly visit volume, wait times, and center revenue into triage acuity, complaint mix, payer mix, service-line detail, daily throughput, and center P&L. It is built for urgent-care operations, access, revenue-cycle, and finance teams rather than as a clinical record or claims system.
These are the operating questions this kit is optimized to answer first.
Connect visit volume, wait time, gross charges, net collected revenue, and center margin month by month.
Compare metro, format, and center performance on throughput, wait time, and margin.
Follow walk-in visits from arrival through triage acuity, wait, length of stay, and disposition.
Connect monthly center P&L down to daily throughput, visit detail, and service lines.
Trace service lines to visit charges and visit charges to monthly center revenue and payer-weighted collections.
Denial risk, prior authorization, and days to cash all bite, giving centers a 9.5-point realized collection spread.