

Representative engagements showing how Nutek products and AI agents are applied — the problem, the technology, the workflow, and the outcome.
Referrals arrived by fax, phone, and portal, then lived in spreadsheets. Staff could not tell which referrals were waiting on the patient, the payer, or the practice — and stalled referrals quietly leaked out of the network.
ReferralTrack was deployed as the single referral worklist: every referral tracked from receipt to closure, prioritized by urgency, with scheduling and pre-authorization steps coordinated in one place.
Referral received → AI patient outreach → patient response → provider matching → assignment → follow-up → referral closed. The Nutek Referral Agent handled outreach and escalated referrals that stopped moving.
Clinical and operational data sat in a legacy system that newer applications could not read. Manual re-entry bridged the gap — slow, error-prone, and impossible to scale.
Ignis Health Bridge was placed between the systems to map, transform, and validate data automatically — turning legacy formats into standards-based HL7 and FHIR R4 exchanges.
EHR / legacy system → HL7 / FHIR → Ignis Health Bridge → mapping → transformation → validation → destination API. Built-in testing and performance management kept interfaces healthy after go-live.
Performance data lived in extracts, emails, and one-off reports. Leaders saw numbers weeks late, and every new question meant another manual report request.
NuBird Analytics consolidated the sources: automated import and cleansing, a governed data model, and smart dashboards distributed to the people who needed them — on a schedule, not on request.
Healthcare data → NuBird → data model → dashboard → AI analysis → insight → executive decision. Ask NuBird answered ad-hoc questions in plain language; the Executive Briefing Agent summarized what changed and why.
A lean operations team spent its day monitoring queues, chasing follow-ups, and assembling status updates — repetitive work that crowded out improvement projects.
Nutek AI agents took over the watching and the routine follow-through: Signal Watcher monitored the data for meaningful changes, and workflow agents handled outreach and routing within existing guardrails.
Data → AI agent → understand → analyze → decide → take action. Each agent's actions were scoped, logged, and reviewable — automation with accountability.
We are happy to walk through the workflows, architecture, and implementation approach in a working session.