Healthcare workforce management software that starts with your rules.

Healthcare workforce management software is the system a clinical-staffing company uses to schedule clinicians, track time and credentials, and pay a mixed W-2 and 1099 roster across dozens of facilities — the scheduling, payroll, and compensation platforms page one will show you. The category assumes your operation fits its data model. A staffing company’s reality does not: call rates that differ from regular rates per facility, locums converting to 1099 mid-engagement, timesheets exported from a legacy scheduler as spreadsheets with comma-separated facility lists and admin-time rows. That gap is why every payroll run starts with flagged rows someone clears by hand. The alternative to replacing the software is encoding the gap — your facility, rate, and roster rules applied to every export by AI agents, with flagged rows routed to a person. The systems stay; the hand-cleaning goes.

Healthcare payroll software holds the run — gross-to-net, tax filing, direct deposit — and sells a migration plus a per-employee subscription. What it does not hold is your rulebook: which facility a comma-separated location really means, which rate applies when a CRNA takes call, what changes when a locum converts to 1099. We encode that rulebook into AI agents that sit ahead of the payroll system you already run. No migration, no new vendor — the platform keeps the run, and the agents hand it a clean file.

Staffing payroll software calculates pay from whatever the file gives it — gross-to-net, tax filing, direct deposit for a mixed W-2 and 1099 roster. It cannot fix the inputs: the rate that was never entered, the facility the location field fails to match, the second payroll ID a mid-year W-2-to-1099 conversion leaves behind. Those breaks surface as the flagged rows that open every run. We fix the inputs upstream — AI agents apply your rate tables, facility mappings, and roster rules to each export before payroll sees it, and anything unmatched queues for a person. The software keeps the run; the run finally calculates on the truth.

Contractor payroll software pays 1099 workers once the inputs are clean. It does not know that this locum converts at 170 an hour with call at 200, or that the conversion takes effect mid-month — those are your terms, living in emails and engagement letters. We encode conversion terms and rate tables so W-2 and 1099 clinicians pay correctly off the same file. Anything that matches no rule lands in a queue for a person.

No. Physician compensation software administers comp plans — wRVU targets, stipends, draws — for employed physicians. A staffing company’s problem sits upstream of that: regular versus call rates per clinician per facility, applied to a timesheet the scheduler exports. That is a rate table, not a comp plan. We encode your rate tables and keep them current as amendments arrive, so the file carries the right rate before payroll ever sees it.

No — the scheduler stays. Anesthesia scheduling software holds the schedule; the problem is the export: comma-separated facilities, triplicated location strings from three shifts in one day, admin-time rows with no site. Agents read the export as it arrives, apply your location and role rules, and repair the file. When the vendor changes the layout, we update the rules — your workflow does not change.

You do, inside your own environment. The agents run against your files in your cloud and your tenancy; clinician pay data never leaves your systems and is never used to train models. Every flagged row — an unmatched clinician, an unencoded rate, a location that resolves two ways — queues for a person on your team before it reaches payroll. The agents clear the routine; your people keep every judgment call, and each repair is logged against the rule that made it.

Yes — that is the working model. Business rules engine software hands developers an if-then workbench; here, the ops lead states the rule in natural language — "if role is blank, location is non-clinical" — and we encode it into your rulebook. New rules still arrive by email and meeting, but now they apply to the next file instead of living in one person’s head.