Three Med-Surg RNs trending below the unit fairness line for four straight weeks — a pattern that predicts attrition before it shows up in exit interviews. The DON notified with the rebalance that fixes it.
Forecast and plan for the demand you can see; absorb the shocks you can't — every gap filled from your own people first, by fairness, acuity, and specialty, before agency.
Remedi is a teammate, not a replacement — a hard hat and a brain. It does the operational work and the judgment behind it, alongside your people and under their oversight, grounded in science and accountable for every action.
The workforce is the hardest part of healthcare to get right — chronic shortages, burnout, and the expensive scramble to keep every shift covered. Remedi brings science, empathy, and AI to it: forecasting demand before it overwhelms a unit, building schedules around fairness so staff stay, and filling every gap from your own people before agency. The result is better outcomes on both sides, clinical and financial: better care for patients, and less spent to deliver it.
Forecast to filled.
Care-hours forecast by competency, not headcount — every signal that shapes demand, in. A roster solved against acuity, fairness, continuity, regulation, and cost together — with the math shown. Coverage that flows from your bench through the markets you trust, atomically — first fill wins, the rest cancel. Agency the last call, not the first. The fairness ledger every clinician sees; the labor-productivity number your finance team already trusts.
Intake to bedside continuity.
Bed placement aligned to staff availability — qualified beds that hold productivity across units, not spread across floors that multiply labor. An eligibility check that catches payer drift before they walk in. A longitudinal record pulled across the network. A readiness pass that surfaces care gaps before the encounter starts.
Audit built in, not bolted on.
A capture that hears every minute and every modality. A scrub that catches every payer-rule miss before billing does. A coder that hands billing a clean claim. F-tag, PDPM, MDS timing, Section GG — answered by the record, not reconstructed after the fact.
Coverage check to collected.
A claim out, clean against every payer rule. An ERA reconciled, every denial traced to the documentation that caused it. A balance collected to zero, on the same record.
Not just census. Callouts, retention risk, acuity drift, and the cascade effects of every change.
Roster solved on acuity, fairness, and continuity.
Longitudinal record pulled across the network.
Internal bench first, then market on contracts you set.
Eligibility verified, payer drift caught.
Care gaps surfaced. Risk scored. Packet ready.
Every minute, every modality.
Payer rules, denial history, compliance lines — fix surfaced.
ICD, CPT, time-based — generated and ready.
Clean claim out. Every payer, every payer-specific rule respected.
ERA back. Every denial traced to the documentation gap.
Patient balance to zero. ACH and card, on the same record.
When the day breaks — a sick call, a surge, a denial — the work comes back through. Every move cited.
Weather. School calendars. Transit. Local outbreak alerts. The forecast that runs your schedule reads them all — and shifts your coverage before the first call-out comes in.
A storm three days out. Remedi already shifted your morning coverage — protected the long commutes, surfaced the gap, lined up the fill before the first call-out.
Burnout is a scheduling problem before it's a retention problem. Remedi reads the patterns that predict attrition — back-to-back nights, missed weekends, no-recovery weeks — and routes around them automatically.
Every clinician's preferences, fairness position, and history travel with them across cycles. The schedule respects them every time. Governance is over the work, never over the person.
Every catch cited to a rule. Every critical decision still yours.
Three Med-Surg RNs trending below the unit fairness line for four straight weeks — a pattern that predicts attrition before it shows up in exit interviews. The DON notified with the rebalance that fixes it.
Storm system tracking in by Wednesday morning. Remedi already shifted the morning crew — protected the long commutes, surfaced the gap, lined up the fill before the first call-out came in.
Longitudinal record pulled before admission. Two medication conflicts and a recent imaging study summarized in plain language for the admitting clinician — first hour with the patient, not the chart.
A 2am call-out left the unit short. Same-skill, fairness-balanced clinician proposed — the one who already knows the patient. Shift lead approved in 90 seconds.
Patient walks in Monday. Plan switched 72 hours ago. Eligibility re-verified at intake instead of three weeks later in a denied claim.
Clinician signs the note. Eight seconds later: this denies under CO-50 — add the missing detail. Fixed before billing pulled it.
Continuous audit against the patterns that hit your last survey. The DON notified Tuesday — fixed before the surveyor walked the wing.
A resident's therapy minutes trending below the case-mix threshold for three days. The MDS coordinator notified Tuesday — minutes recovered before Section O locked.
Specialist requests imaging for a patient with a complex history. Justification packet pulled from the longitudinal record, attached to the 278, submitted in seconds.
CO-97 came back Tuesday. Reconciled to a missing element in last week’s documentation, routed to the lead who can fix it. Owner notified, root cause closed.
The forecast that shapes the schedule. The schedule that drives the chart. The chart that produces the claim. Coverage verified before the patient walks in. Denials traced back to the shift, the line, the documentation gap that caused them. The patient balance, on the same record the claim was filed on.
Not a slice. Cause and effect cross the lines other systems can’t see across.
Every action logged. Every decision overridable. Every recommendation citable to a rule and a model version. Your team controls what Remedi does. We control how Remedi explains itself.
Healthcare doesn’t reward speed. It rewards the system that survives the audit, the survey, the lawsuit, and the budget review.
Four layers, in order of authority.
The rules that fired. Citable to a reg, repeatable on demand.
Probabilities, not prescriptions. Versioned, evaluated, replaceable.
Explains. Drafts. Cites every step. Never decides on its own.
Yes. No. Not now. The last word, always.
The reasoning model is replaceable. The rules, the math, and your team's judgment are not.
What an hour looks like.
Every EHR, payer, scheduler, scribe, and workforce system your operators already run.
See every connectorRemedi wasn't designed by people who read about healthcare.
Twenty-two years of operations research inside a Fortune 100 hospital system. Decades architecting enterprise data and AI systems across healthcare, insurance, logistics, and financial services. The workforce engine is calibrated on the published organizational-justice research that identifies fairness — not pay — as the actual driver of nurse attrition. Citable, peer-presented. The math inherits from the literature, not from a marketing brief.
Every action logged with the rule it cited. Every workflow overridable. PHI stays under your tenant boundary. The marketplace is the last call, not the first — every escalation logged with the internal cost differential that explains it. The cognitive load shifts to us; the last word stays with your team, at every decision that matters.
The rules that catch a denial are deterministic, and citable. The probabilities that forecast a callout are versioned and evaluated. The reasoning that explains it never decides on its own — your team always does. The reasoning model is replaceable. The rules, the math, and your judgment are not.
“We would rather build the right thing slowly than the wrong thing fast.”
Remedi is being proven in live operations with a small number of founding partners — health systems and academic researchers who help shape the work and hold it to the numbers, in the units where staffing decisions are actually made. The method comes from published research; the outcomes get measured honestly, not asserted. We would rather earn the evidence than claim it.
If you run a floor and want a hand in how this gets built — a partnership, not a demo — that’s the conversation we’re looking for.
Tell us where the work breaks down. If it’s a fit, we’ll prove it together — on your floor, with your numbers.