Process mining and AI agents reading what Tasy already records: patient claims, prescriptions, beds and encounters. Claims are reviewed before billing, the auditor decides by exception and patient data does not leave the hospital.
See also: UpFlux + MV · Medical Claims Audit · Inpatient & Discharge
The agent reviews 100% of claims before closing, flags the item with a likely denial reason (price table, authorization, prescription, coding) and suggests the correction. The auditor decides; denials stop being discovered only at the appeal stage.
UpFlux rebuilds the inpatient journey from Tasy events: where discharge waits, which bed turns over least, which step holds the patient back. The manager sees turnover by unit and acts the same day.
From intake to discharge, every emergency care step becomes a measured event: time to triage, to the physician, to the exam. Abandonment and lead time stop being estimates.
Denials avoided, claims closed on time and beds released turn into hard currency in RoAI, auditable item by item. Leadership sees what AI returned on top of Tasy.
UpFlux does not ask for Tasy or MV customization. You export the claims and care events, and the first map of the real process arrives ready, with the target in hard currency for what is addressable.
Extraction of the claims, prescription, admission and care events from Tasy or MV, with patient data in the hospital environment.
From the event export, we deliver the map of the real process and the target in hard currency: variants, bottlenecks and addressable return.
The audit agent joins the claims queue before closing, with the auditor deciding by exception and the result measured in RoAI.
Questions from hospitals and payers that run Tasy or MV and are evaluating AI for claims and beds.
In two weeks, we deliver the map of the real process and the target in hard currency, straight from the claims and care events.
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