Hospitals have long blamed bed shortages for overcrowding and delayed discharges. Kontakt.io argues the real issue lies elsewhere—and today it put a name to it. The company introduced Patient Flow Agent, a patient flow orchestration solution designed to reduce length of stay, eliminate discharge delays, and convert operational efficiency into measurable revenue gains.

At its core, Patient Flow Agent tackles a familiar but costly problem: during a patient’s journey from admission to discharge, hundreds of decisions are made with incomplete operational context. Those blind spots add up, often extending hospital stays by days. Kontakt.io’s new agent reframes the process by placing every key moment of care into a single, real-time operational view, enabling frontline teams to act faster and with greater confidence.

Turning Fragmented Data Into Coordinated Action

Patient Flow Agent runs on Kontakt.io’s Care Orchestration platform, which blends real-time location and care signals from RTLS with EHR data. The result is a continuously updated clinical and operational context that predicts next steps in a patient’s journey—rather than reacting after delays occur.

The agent identifies care progression interventions, tracks their outcomes, and automates actions that simplify and accelerate discharge workflows. For clinicians and care teams, that means fewer manual handoffs and less guesswork. For hospitals, it means smoother throughput and better utilization of scarce resources.

“Hospitals don’t have a bed problem; they have a patient flow orchestration problem,” said Philipp von Gilsa, CEO of Kontakt.io. “Patient Flow Agent turns fragmented data into coordinated real-time action using existing EHR interfaces and workflows, and surfaces time-critical interventions.”

Predictive Flow Across the Care Continuum

Unlike traditional throughput tools that focus narrowly on bed management, Patient Flow Agent models the full care continuum. It predicts patient journeys, care resource needs, bed availability, discharge timing, barriers, and post-discharge dispositions. Based on those insights, the system initiates interventions that free up beds sooner and dynamically redistribute staff and resources.

The timing is notable. U.S. hospitals are facing renewed strain from the ongoing influenza epidemic, with patient volumes surging and capacity stretched thin. In that environment, shaving even a fraction of a day off average length of stay can have outsized operational impact.

Kontakt.io claims Patient Flow Agent can reduce length of stay by full days, not hours—an assertion that, if borne out at scale, positions patient flow as one of healthcare’s most underleveraged levers for efficiency.

The Financial Case for Better Flow

The operational gains translate directly into financial performance. A recent study cited by Kontakt.io found that 22% of U.S. inpatient hospital days are not clinically necessary. For a typical 200-bed hospital, eliminating those avoidable days could unlock $4 million in annual cost savings and generate an additional $3 million in yearly revenue through improved capacity and throughput.

For hospital executives grappling with labor shortages, rising costs, and reimbursement pressure, Patient Flow Agent reframes patient flow as both a clinical quality issue and a revenue optimization opportunity.

Why This Matters Now

As healthcare systems increasingly adopt AI-driven decision support, Kontakt.io’s approach stands out for its focus on orchestration rather than alerts. Instead of adding another dashboard, Patient Flow Agent embeds predictive intelligence into existing workflows, aiming to reduce friction rather than add cognitive load.

If successful, the platform could help hospitals move from reactive capacity management to a system of continuous flow—where beds, staff, and patients move with fewer bottlenecks and better outcomes for all involved.

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