Healthcare Provider — AI-Powered Clinical Documentation & Triage
How Neotheta helped a regional healthcare network reduce documentation burden and improve triage consistency across 12 hospitals.
The Documentation Crisis in Healthcare
Administrative burden is one of the most pressing challenges in modern healthcare. Clinical staff are spending a disproportionate share of their working day on documentation — time that could otherwise be spent on direct patient care.
What the Research Shows
A Regional Healthcare Network Under Pressure
A leading regional healthcare provider operating 12 hospitals with over 3,000 clinical staff was facing a dual challenge: an unsustainable administrative burden on its clinical teams, and inconsistent triage processes across facilities that were contributing to suboptimal patient outcomes.
The organisation needed a scalable, HIPAA-compliant AI solution that could be deployed across its entire network — one that would reduce documentation overhead without disrupting existing clinical workflows.
Documentation Overhead and Triage Inconsistency
Clinical staff were spending an average of 3.5 hours per day on documentation and administrative tasks — time taken directly away from patient-facing care. This was consistent with industry-wide findings that clinicians spend up to 40% of their working hours on EHR tasks.
Average time clinical staff spent on documentation and administrative tasks — leaving insufficient time for direct patient care across the 12-hospital network.
Simultaneously, the triage process was inconsistent across facilities. Without a standardised, data-driven triage protocol, patient prioritisation varied significantly between hospitals, leading to delayed care for high-acuity patients and suboptimal outcomes.
A Two-Component AI Platform
Neotheta designed and deployed a two-component AI solution, built on Azure’s HIPAA-compliant cloud infrastructure and integrated with the client’s existing EHR systems.
Clinical Documentation AI
An LLM-powered ambient assistant that listens to doctor-patient conversations and auto-generates structured, EHR-ready clinical notes in real time — eliminating manual note-taking without disrupting the clinical encounter.
AI Triage Assistant
A machine learning model trained on historical patient data that provides real-time, standardised triage recommendations — ensuring consistent patient prioritisation across all 12 facilities, regardless of individual clinician variability.
Measurable Outcomes Across the Network
Following full deployment across all 12 hospitals, the client reported the following outcomes. All figures are client-reported and reflect results specific to this implementation; individual results may vary.
Built for Enterprise Scale and Compliance
The solution was architected for enterprise-grade reliability, security, and HIPAA compliance — ensuring patient data protection at every layer of the stack.
Ready to Reduce Administrative Burden in Your Organisation?
Explore how Neotheta’s AI solutions can deliver measurable outcomes for your healthcare or enterprise operations.
