Transform Healthcare Operations with Nurse Assist

Accelerate Workloads and Overcome Data Variability

Nurse Assist reduces manual workloads by over 80%, accelerates clinical decisions to under three minutes, and improves care coordination by combining GenAI, Agentic AI, and advanced Clinical Language Processing (CLP). It uses optical character recognition (OCR) and CLP to extract structured data—such as diagnoses, medications, and demographics—from unstructured formats like handwritten notes, scanned faxes, and electronic health records (EHR) records. The system then triages cases by complexity, standardizes inputs to ensure semantic alignment with medical guidelines and payer rules, which enables automated approvals for routine requests, flagging exceptions for human review.

Use Deep Clinical Intelligence for Confident Decisions

What sets Nurse Assist apart is its deep clinical intelligence. Embedded clinical decisioning algorithms, informed by evidence-based guidelines and payer-specific rules, generate decision recommendations—much more valuable than typical search results—along with transparent rationales and audit trails. A confidence scoring system and color-coded annotations support nurse reviewers in making rapid, confident decisions. Developed in response to market gaps and validated through real-world pilots, Nurse Assist proves that automation can be both accurate and trusted by clinicians.

Leverage Decades of Clinical Learning

Unlike many AI solutions that offer generic automation or standalone analytics, Nurse Assist is purpose-built for healthcare and deeply rooted in the realities of clinical operations. It builds on existing UM and PA practices by embedding AI directly into the clinical workflow—bridging the gap between administrative efficiency and clinical accuracy.

Trained on decades of industry data, the platform’s AI component includes evidence-based guidelines, payer-specific rules, and clinician-focused judgement. But instead of simply digitizing these processes, Nurse Assist innovates by coordinating an Agentic AI architecture that combines advanced document recognition, CLP, and large language model-powered reasoning. 

Nurse Assist uses a continuous learning loop, powered by our subject matter experts’ feedback, to ensure that the platform aligns with evolving payer policies and clinical standards. The solution’s continuous learning abilities instill confidence among users.

Drive Interoperability, Scalability

Given the diversity of payer systems and workflows, we designed Nurse Assist to address interoperability issues by designing flexible, standards-based integration options via APIs, Fast Healthcare Interoperability Resources (FHIR), and browser extensions, allowing rapid, secure deployment without overhauling existing infrastructure.

Accelerate Care Through Innovation

The innovation lies not just in the technology, but in how it transforms labor-intensive, error-prone tasks into streamlined, accurate, and clinically sound processes. Nurse Assist ’s human-in-the-loop oversight and transparent rationales for recommendations not only ensure compliance and safety but also help to increase adoption among clinical reviewers. By complementing—not replacing—clinical expertise, Nurse Assist accelerates care delivery, reduces denials, and cuts administrative waste, setting a new standard for AI in healthcare.