Kontakt.io Unveils Next-Generation AI Solutions to Re-ViVE Care Operations and Transform Healthcare Delivery
•February 20, 2026
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Why It Matters
By turning fragmented operational data into actionable intelligence, the platform helps health systems expand capacity and reduce costs amid staffing shortages and rising demand.
Key Takeaways
- •AI agents integrate RTLS and EHR for real-time insights
- •Access Agent lifts exam room use 20%, adds $34k revenue
- •Patient Flow Agent cuts LoS, saves $4M annually
- •Supply Chain Agent slashes equipment search time 89%, rentals 76%
- •Platform scales without new infrastructure, serving 32,000 users
Pulse Analysis
Healthcare operators are increasingly pressured to do more with less—rising patient volumes, staffing gaps, and tighter margins demand smarter orchestration of assets and workflows. Kontakt.io’s AI suite tackles this by fusing RTLS signals with EHR data to generate a live digital twin of a facility. This unified view surfaces hidden bottlenecks, enabling decision‑makers to anticipate demand spikes and allocate resources proactively, a capability that traditional analytics platforms have struggled to deliver in real time.
The four agents each address a critical pain point. Access Agent’s predictive scheduling lifts exam‑room utilization by roughly 20% and can add up to $34,000 per room annually, directly impacting outpatient revenue. Patient Flow Agent forecasts bed availability and discharge obstacles, driving up to a 25% increase in before‑noon discharges and delivering $4 million in yearly savings for a 200‑bed hospital. Meanwhile, Supply Chain Agent reduces equipment search time by 89% and cuts device rentals by 76%, effectively multiplying equipment utilization by 1.8‑times. These outcomes illustrate how AI‑enabled operational clarity translates into tangible financial gains.
The broader market implication is a shift toward AI‑augmented operational platforms as a core component of value‑based care. With over 32,000 end users and 4 million IoT devices already in the field, Kontakt.io is positioned to scale rapidly, offering hospitals a plug‑and‑play solution that sidesteps costly infrastructure overhauls. As payers and regulators tighten reimbursement criteria, hospitals that can demonstrably improve length‑of‑stay, throughput, and resource efficiency will gain a competitive edge, making AI‑driven operational intelligence a strategic imperative for the next decade.
Kontakt.io Unveils Next-Generation AI Solutions to Re-ViVE Care Operations and Transform Healthcare Delivery
Launching at ViVE 2026, AI agents enable hospitals to match supply and demand, increase capacity, optimize throughput, and remove operational bottlenecks
At ViVE 2026 in Los Angeles, Kontakt.io will demo an integrated suite of AI solutions that redefines operational efficiency across outpatient clinics, hospitals, and IDNs. The suite includes unique AI solutions like Patient Journey Analytics, Supply Chain Agent, Access Agent, and Patient Flow Agent.
As health systems grapple with rising demand, staffing pressures, and escalating costs, the Kontakt.io platform is designed to help systems orchestrate care delivery with RTLS and EHR data to reduce waste and improve the patient and caregiver experience without costly infrastructure investments. As hospitals face increasing pressure to improve performance on key metrics like length of stay, ambulatory access, and cost reduction, these agents offer real and impactful solutions.
“Healthcare leaders don’t lack data; they lack real-time operational clarity and the ability to act on it,” said Philipp von Gilsa, CEO and founder of Kontakt.io. “Our AI agents transform fragmented operational signals into coordinated, real-time action across access, patient flow, and logistical support. This enables health systems to unlock existing capacity, reduce delays, and deliver better care without adding staff or space.”
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**The Intelligence Layer for Your Hospital Operations
**As the foundation of Kontakt.io’s agentic AI power, Patient Journey Analytics fuses electronic health record (EHR) data and RTLS signals to create a digital twin of your hospital, a holistic view of how care progressions unfold, and how staff, space, and equipment are deployed. This enables leaders to identify operational friction, discover opportunities for intervention, and prepare for demand in advance.
Increasing Room Usage and Revenue with AI
Access Agent marks a major leap forward in optimizing outpatient clinic operations, boosting exam room utilization by up to 20% and increasing annual revenue per exam room by up to $34,000. Access Agent accomplishes these results by forecasting room availability and aligning it with provider schedules and patient flow; that way, health systems can increase patient access, drive revenue, and support clinic growth without adding more rooms.
Setting a New Standard in Hospital Flow Management
By contextualizing the entire patient journey from admission to discharge, Patient Flow Agent predicts bed availability and potential discharge obstacles, providing frontline caregivers with context rich-insights and automated recommendations to facilitate care progression.
With Patient Flow Agent, a 200-bed hospital can save up to $4 million annually, increase before-noon discharges by up to 25%, and reduce patient LoS by 0.1 days or more.
Predict Equipment Supply and Demand…in Advance
Orchestrating medical equipment is a recurring challenge in healthcare, with nurses spending up to 36 minutes per shift looking for assets.
With Supply Chain Agent, hospitals can forecast equipment demand in advance, reallocate assets to where they are needed most, and ensure that clinicians spend less time searching for devices (and more time delivering care).
A 200-bed hospital can use Supply Chain Agent to decrease equipment search times by up to 89%; reduce device rentals by nearly 76%; and boost equipment utilization by 1.8X.
“Many hospital teams operate completely blind to the current and projected needs of patients,” Kontakt.io Chief Revenue Officer Rom Eizenberg explains. “Supply Chain Agent uses EHR and RTLS data to create demand signals, predicting and staging equipment optimally, and ensuring that the right equipment is in the right place at the right time, every time.”
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