SurgeShift

Idea

SurgeShift turns each independent urgent care clinic's own visit history into a week-ahead staffing plan. It blends a clinic's historical daily volume with regional flu and RSV surveillance data and local school-calendar dates, then tells the clinic manager how many providers and MAs to schedule per shift. It is priced and packaged per clinic for operators running 2 to 15 locations, the segment too small for the enterprise workforce-scheduling tools built for hospital systems.

Market gap

Urgent care demand swings by hour, day of week, season, and local illness activity. Clinics built for 40 patients a day routinely see 20, and the gap converts directly into losses the owner personally finances, while a bad flu week with a static schedule means wait times climb and patients walk out. Predictive, demand-based staffing software already exists (Intrigma, Medecipher's FLO), but both are sold and deployed as enterprise workforce platforms to hospital systems and the largest urgent care chains. Independent and regional operators, who make up roughly 60 percent of the nation's urgent care centers, are left running clinics on a static calendar inside their EHR or a hand-built Excel schedule. Clinical labor already runs 45 to 55 percent of revenue at these clinics, and industry-wide operating costs have been outpacing reimbursement growth, so the timing pressure to fix staffing waste is now, not later.

Total Addressable Market (TAM)

Bottom-up, with assumptions stated:

• Total US urgent care centers: 15,398 as of March 2026 (Urgent Care Association, "Urgent Care - March 2026 by the Numbers").
• Non-hospital-affiliated share: UCA reports 40 percent of centers are hospital-affiliated, implying roughly 60 percent, or about 9,239 centers, are not.
• Assumption: a meaningful slice of those non-hospital-affiliated centers belong to the largest private-equity-backed, multi-state chains tracked in the JUCM Top 100 Urgent Care list. Those chains already buy or can afford enterprise tools like Intrigma (whose own case study customer is CityMD, described as NYC's largest urgent care provider). We estimate, conservatively, that the largest chains account for about 4,000 of the non-hospital-affiliated centers, leaving roughly 5,200 centers run by smaller independent and regional groups (2 to 15 locations) as the addressable segment. This split is an estimate, not a directly published figure.
• Assumed average contract value: $250 per clinic per month, or $3,000 per clinic per year (midpoint of the three pricing tiers below).
• TAM = 5,200 clinics x $3,000/year = approximately $15.6M in annual recurring revenue potential.
• SAM: assume 40 percent of that addressable segment is reachable within 3 years through direct outbound and the UCA's own conference and member channels: 2,080 clinics x $3,000 = approximately $6.2M.
• SOM: a realistic first 18 to 24 month beachhead of 60 clinics (roughly 12 to 15 operating groups) x $3,000 = approximately $180K in initial ARR.

Monetization strategy

Straight SaaS subscription, billed per clinic per month, paid by the urgent care operating group's owner or operations lead. They keep paying because the tool is priced as a fraction of what one overstaffed shift or one lost walkout patient costs them in a month, and because canceling means going back to a static schedule that is already costing them money by their own numbers.

Pricing strategy

• Starter (1 to 3 clinics): $199/clinic/month. CSV import, week-ahead headcount recommendation, forecast-vs-actual dashboard.
• Growth (4 to 10 clinics): $249/clinic/month, the anchor tier most operating groups fall into. Adds the flu/RSV and school-calendar signal blend, and email/SMS staffing digests.
• Scale (11 to 15 clinics): $299/clinic/month. Adds multi-site staffing overview and exportable reporting for lenders or investors.
• Entry point is Starter with no long-term contract and month-to-month cancellation, to get past an owner-operator's natural skepticism of new software.

Lead magnet

A free "Urgent Care Staffing Waste Calculator." The operator enters average daily visits, scheduled provider hours, and wage rates for one clinic, and gets an instant PDF estimating monthly overstaffing and understaffing cost, benchmarked against UCA's published labor-cost-as-percent-of-revenue figures. The report ends with an offer to connect their own historical CSV for a personalized forecast.

Social proof that the problem exists

• m3thods Substack, "Pain Points: Independent Urgent Care Clinics": states clinical labor runs 45 to 55 percent of revenue, that clinics built for 40 patients a day routinely get 20 with the owner absorbing the loss, and that the independent clinic is under-served because software vendors have not focused on their size and needs. https://m3thods.substack.com/p/pain-points-independent-urgent-care
• Urgent Care Association Benchmarking Report (Operations): the industry's own operator-reported data on visit volume variability and staffing ratios that independent operators use to benchmark themselves, showing this is tracked as a persistent operational problem, not a one-off complaint. https://urgentcareassociation.org/wp-content/uploads/2023/04/Benchmarking-Operations-10.12.22.pdf
• Sorso, "Healthcare staffing costs in 2026: the biggest line item keeps growing": documents that staffing is the fastest-growing operating expense for urgent care and broader ambulatory operators heading into 2026. https://www.thesorso.com/blog/staffing-costs-2026
• Intrigma's own published case study is with CityMD, described as NYC's largest urgent care provider, showing predictive staffing tools are already validated as valuable in this exact vertical, just sold only to the largest, best-funded operators. https://www.intrigma.com/success-stories/city-md
• A Snagajob posting for a Healthcare Operations Manager at MEDRITE Urgent Care in Brooklyn shows independent and regional urgent care groups still hire a dedicated human role to own manual staffing and scheduling, the job this product targets for automation. https://www.snagajob.com/jobs/1187973538

Competitors

• Experity: the dominant urgent care EHR and practice management platform, powering more than 6,700 facilities, roughly half of all US urgent care centers. https://www.experityhealth.com/experity-vs-urgent-care-software-competitors/
• Intrigma: enterprise workforce scheduling software used by large systems and chains, with a published CityMD case study.
• Medecipher (FLO), a SnapCare company: predictive, demand-based nurse and provider staffing decision support, used by health systems including Northwestern Medicine and Queens Medical Center. https://medeciphersolutions.com/flo/
• Generic workforce tools (Deputy, When I Work, ScheduleFlex): general staff scheduling with basic historical-pattern estimates, used across many industries, with no urgent-care-specific demand signals.

What competitors offer now

Experity gives clinics a scheduling calendar bundled inside its EHR and billing suite, built for charting and claims first, not for predicting how many people to schedule against expected walk-in demand. Intrigma and Medecipher both do real demand-based predictive staffing, but as enterprise workforce platforms: sold through hospital and large-chain procurement cycles, deployed with dedicated implementation support, and priced for organizations running dozens to hundreds of sites. Generic scheduling tools handle shift assignment and time-off requests well but treat an urgent care shift like a retail shift, with no input for regional flu and RSV activity or school-calendar-driven demand swings that urgent care operators already know matter.

What can be done differently to attract customers

Build the same category of tool, demand-based predictive staffing, but make onboarding a CSV upload instead of a procurement cycle, and price it per clinic per month at roughly a tenth of an enterprise contract with no minimum clinic count. Go direct to the 2 to 15 clinic independent and regional operators that Intrigma and Medecipher's own case studies show they are not selling to, reaching them through the UCA's conference and member channels and the staffing-waste calculator as the top-of-funnel hook.