Kontakt.io launches AI agents at ViVE 2026 to re-ViVE care operations
Kontakt.io is rolling out an integrated suite of AI agents at ViVE 2026 in Los Angeles, purpose-built to help health systems match supply with demand, increase capacity, optimize throughput, and clear operational bottlenecks. The platform blends EHR and RTLS signals to give operations teams real-time clarity and coordinated action without heavy new infrastructure.
Put simply: less time guessing, more time moving patients, staff, and equipment where they need to be. As one executive put it, hospitals don't lack data-they lack the real-time signal to act on it.
What this means for operations leaders
- Turn fragmented operational signals into decisions at the point of care.
- Unlock existing capacity without adding staff or space.
- Improve core metrics: LOS, before-noon discharges, room utilization, and cost per case.
- Use current EHR and RTLS investments to drive measurable outcomes.
The intelligence layer: Patient Journey Analytics
Patient Journey Analytics fuses EHR data and RTLS to create a digital twin of your hospital. Leaders get a live view of care progressions, resource deployment, and where friction stalls throughput.
This makes it easier to spot choke points, intervene earlier, and prepare for demand in advance. For context on standards and data flow, see EHR interoperability.
Access Agent: Increase room usage and revenue
Outpatient clinics can boost exam room utilization by up to 20% and add up to $34,000 in annual revenue per room. Access Agent forecasts room availability, aligns it with provider schedules and expected patient flow, and fills the gaps you can't see on a calendar.
Result: fewer idle rooms, more patient access, and growth without building more space.
Patient Flow Agent: Set a new bar for discharge and bed management
By contextualizing each stay from admission to discharge, Patient Flow Agent predicts bed availability and flags likely discharge obstacles. Frontline caregivers get context-rich insights and automated recommendations to keep care moving.
Impact for a 200-bed hospital: up to $4M annual savings, up to 25% more before-noon discharges, and a 0.1+ day reduction in LOS.
Supply Chain Agent: Forecast equipment needs before the scramble
Nurses lose up to 36 minutes per shift searching for devices. Supply Chain Agent predicts equipment demand, stages assets where they'll be needed, and cuts retrieval time so clinicians can focus on care.
For a 200-bed hospital: up to 89% reduction in search time, ~76% fewer rentals, and 1.8x utilization. It's about having the right device in the right place at the right time-every time.
How to pilot this-without slowing your day job
- Pick one service line or a single outpatient clinic with clear volume and delays.
- Integrate EHR and RTLS feeds; align definitions for rooms, beds, units, and assets.
- Lock in success metrics: LOS, before-noon discharges, room utilization, rental spend, staff time saved.
- Create simple playbooks for alerts and recommendations (who gets notified, what action, what escalation).
- Stand up a weekly ops huddle to review signal quality, outcomes, and workflow tweaks.
Questions to ask during your demo
- Data: Which EHR objects and RTLS signals are used? What's the average data latency?
- Accuracy: How are predictions validated for bed readiness, discharges, and equipment demand?
- Workflow: Where do recommendations surface (EHR inbox, mobile, command center)? Who owns the action?
- Change: What frontline training is required? How are false positives managed?
- Security: How is PHI handled? What audit and access controls are available?
- ROI: Typical time-to-value and reference benchmarks for a 200-bed hospital or a 20-room clinic.
Where to see it
Kontakt.io will demo the suite at ViVE 2026 in Los Angeles. Stop by booth #2213 or book a demo to see Patient Journey Analytics, Access Agent, Patient Flow Agent, and Supply Chain Agent in action.
About Kontakt.io
Kontakt.io's intelligent care operations platform combines AI with RTLS, managed IoT infrastructure, and analytics to improve how people, space, and equipment are deployed. Health systems use it to improve asset utilization, staff safety, LOS, patient experience, and financial performance.
Since 2013, the company has deployed millions of devices and supports tens of thousands of users across healthcare environments.
Next steps and resources
- AI for Operations - frameworks and playbooks for leaders focused on throughput and capacity.
- AI for Supply Chain Managers - strategies for forecasting, utilization, and rental reduction.
Media contacts: PR@supremecomms.ai | r.cohen@kontakt.io
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