Situation
Situation
You answer for average length of stay, but the KPI arrives consolidated, weeks later, without telling you where to act.
For NIR, Bed Management, Clinical Coordination and ExecutivesIn production at 20+ Brazilian hospitals
Every extra inpatient day costs the hospital, and nobody is measuring it.
Nous tracks each stay in real time: predicted discharge, blockers holding up the discharge and length of stay above expected by specialty, to cut excess days and turn beds.
Your inpatient care at its best.
0%
of days above expected at one audited hospital*
R$ 0.00M
in excess bed days uncovered in a single assessment*
By the minute
gap medical → hospital discharge measured
Real time
blockers holding up the discharge
*Data from an assessment at a large hospital; results vary by institution.
// see it in action
Live operations
// see it in action
Every stay measured by the minute, blockers escalated to unlock discharge.
Real-time simulation of inpatient management: every bed is cross-checked with EMR, predicted discharge and blockers, and the agent escalates whatever prevents the discharge.
AO VIVO·simulação · inpatient management · real time
operações: 0
excess bed days avoided in this simulation
R$ 0
beds released: 0
What changes for you
Choose your perspective
Problem
Problem
Medical discharge granted is not a bed released: between the two lie hours of invisible blockers, and 10+ day stays without a review trigger.
Implication
Implication
Excess bed days accumulate silently, by specialty, by payer, by diagnosis, and the root cause never surfaces.
Need, payoff
Need, payoff
Length of stay per specialty vs. expected, gap medical → hospital discharge measured by the minute, and an active rule: long stay automatically triggers review.
Agents in your routine
Intelligent Agents act, humans in command.
Nous is UpFlux's operational AI. It prioritizes the day, executes the routine with Intelligent Agents and gives back the result in hard currency, with humans deciding where it matters.
Length-of-stay monitor (threshold per diagnosis)Discharge coordinator (escalates discharge blockers)Medical → hospital discharge gap sentinelMedication SLA guardianBenchmark per specialty
See the full agent catalog Nous cockpit · today
58%
of days above expected at one audited hospital*
live
Length-of-stay monitor (threshold per diagnosis)
42 actions
Discharge coordinator (escalates discharge blockers)
28 actions
Medical → hospital discharge gap sentinel
17 actions
Medication SLA guardian
11 actions
Integrations
Native where the process already runs.
Plugs into the ERP in production, reads the real process and writes actions back into the same system. Without replacing what already works.
TASYMVMV SoulSolusSPDATAEMR
Process Intelligence of the full inpatient cycle, from admission to hospital discharge, with root cause of length of stay by specialty, diagnosis, payer and team.
Gartner + Everest PEAK Matrix, the only Latin American vendor listedR$ 780M+ in results generated
// frequently asked questions
Frequently asked questions
Direct answers for teams evaluating operational AI in enterprise settings.
What are excess inpatient days and how do you eliminate them?
Excess inpatient days are the days of hospitalization above what is clinically expected for the diagnosis, specialty and patient profile, money leaving the hospital without additional revenue, often due to operational blockers (report, transport, follow-up exam, clinical review). UpFlux measures each day in real time, escalates whatever is blocking discharge and turns every bed turned into an auditable number in RoAI, at one audited hospital, 58% of the days were above the expected, R$ 2.39M.
How do you reduce hospital length of stay?
UpFlux tracks each stay's length against the expected for specialty and diagnosis: when a stay crosses the threshold (for example, 10 days in orthopedics without a clinical trigger), the agent automatically escalates for review. The gap between medical discharge and hospital discharge is measured by the minute, and the pending items blocking discharge (report, transport, follow-up exam, payer approval) are triggered in parallel, not in series.
How do you increase bed turnover without hurting care?
Bed turnover increases when the hospital discharge happens as soon as the patient has medical discharge, not hours later, when someone notices. UpFlux gives visibility into each bed's journey (expected discharge, open blockers, discharge readiness), triggers the Discharge Coordinator agent on each blocker and measures the result in avoided days. Clinical judgment stays human; what changes is the time between the decision and the execution.
What is discharge management and how do you coordinate discharge blockers?
Discharge management is the structured process of preparing patient and hospital for the discharge, therapeutic plan, follow-up exam, pending report, transport, payer authorization, handover to home care. Each of these lives in a different system and, without coordination, they surface serially, hour by hour. UpFlux's Discharge Coordinator triggers all blockers in parallel as soon as medical discharge is indicated and escalates whatever gets stuck, the result is the gap between medical and hospital discharge measured by the minute.
Which hospital systems does UpFlux integrate with?
UpFlux integrates natively with the main Brazilian hospital systems, TASY, MV, MV Soul, Solus, SPDATA and the EMR. The rollout does not require a system swap: Nous reads the real inpatient process data and writes escalations and alerts back into the workflow the team already operates in.
Your operation is leaving money on the table. Let's measure how much.
In 30 minutes we show how Nous connects your data, acts inside daily operations and proves the return in hard numbers.