Digital Collaborator: AI Agents for Healthcare

Voice‑enabled AI teammates that reduce clinician burden, improve documentation and coding accuracy, and unlock value from clinical data—built for Minnesota health systems and medical groups.

Who we serve

Health systems and hospitals in Minnesota

Independent and multi-specialty clinics
Revenue cycle and coding teams
FQHCs and safety net providers

Digital Collaborator: AI Agents for Healthcare

Healthcare-specific AI Agent Platform

Digital Collaborator is a healthcare‑specific AI agent platform that unifies Voice AI, clinician co‑pilots, GPT‑powered Retrieval‑Augmented Generation (RAG), automated ICD‑10/CPT coding, and clinical notes OCR into a single, orchestrated “digital collaborator” for care teams. Instead of point solutions, it delivers an integrated assistant that listens to the visit, synthesizes the chart, completes documentation, proposes accurate billing codes, and unlocks data from scanned records—while keeping clinicians in control.

At the front line, a Voice AI / ambient scribe agent passively captures the clinician–patient conversation and generates a high‑quality draft note, structured into familiar formats (HPI, ROS, exam, assessment/plan). This feeds a clinician co‑pilot embedded in the EHR, which surfaces concise chart summaries, identifies care gaps, and suggests next best actions in real time, all grounded in internal guidelines and pathways via GPT‑RAG. A clinical notes OCR agent ingests scanned notes, faxes, and PDFs, converting them into searchable, structured data so the co‑pilot and scribe work from the full clinical picture, not just the discrete fields.

Downstream, an automated coding agent analyzes the finalized note and supporting context to recommend ICD‑10 and CPT codes with confidence scores and clear rationales, boosting coding accuracy and speed while reducing denials and rework. All agents operate inside a governed orchestration layer that manages data access, safety rules, audit trails, and human‑in‑the‑loop oversight, ensuring that health systems can configure workflows, enforce clinical and compliance boundaries, and continuously learn from user feedback. The result is a coherent, enterprise‑ready platform that decreases clinician burden, improves documentation quality and revenue integrity, and turns fragmented AI tools into a single, trusted digital collaborator for healthcare.

What our AI agents do

Voice AI in Healthcare

Clinician AI Co-Pilots

GPT-RAG Knowledge Layer

Why many organizations choose us

DASHBOARDS AND ANALYTICS — MONITOR AND IMPROVE THE PERFORMANCE OF YOUR AI AGENTS