Solutions

AI Agent Solutions for Minne Healthcare

Digital Collaborator is a healthcare‑specific AI agent platform that reduces clinician burden, improves documentation and coding accuracy, and unlocks value from unstructured clinical data. It solves the problem of fragmented, point‑solution AI tools that sit outside daily workflows and do not meaningfully reduce burnout, administrative waste, or revenue leakage.

The core problem: clinicians spend excessive time documenting, searching charts, and fixing billing issues; health systems lose revenue to incomplete documentation, coding errors, and denials; and huge volumes of data are locked in PDFs, faxes, and free‑text notes. This leads to burnout, access bottlenecks, and financial pressure that disproportionately affect safety‑net and under‑resourced providers.

Our solution is a “Digital Collaborator” layer composed of coordinated AI agents:

A Voice AI/ambient scribe that listens to the visit and generates structured draft notes.
A clinician co‑pilot embedded in the EHR that summarizes charts, surfaces care gaps, and suggests next steps.
An OCR agent that converts scanned notes and faxes into searchable, structured data.
A GPT‑RAG agent that grounds recommendations in local guidelines, pathways, and payer rules.
An automated coding agent that suggests accurate ICD‑10 and CPT codes with rationales and confidence scores.

These agents are orchestrated through one governed platform that plugs into existing EHR and revenue‑cycle systems. Clinicians stay in control, reviewing and approving suggestions, while the system continuously learns from feedback.

Ambient to Billing Voice AI Agent

Our ambient‑to‑billing agent captures the clinical encounter, drafts the note, and routes structured data into your EHR and coding workflows. It is designed to return up to 50% of documentation time to clinicians while improving coding accuracy and revenue integrity.

Best for:

Primary care, specialty clinics, and high‑volume ambulatory settings.

Clinician Co-Pilot Agent

The clinician co‑pilot agent lives where your clinicians work—inside the EHR. It helps draft assessments and plans, answers chart questions, and proposes orders based on your protocols. Using retrieval‑augmented generation, it grounds responses in your clinical guidelines, pathways, and formulary.

Best for:

Clinicians overwhelmed by documentation, inbox, refills, and chart review.

Coding & Revenue Integrity Agent

Our coding and revenue integrity agent automatically suggests ICD‑10 and CPT codes from clinical documentation and flags potential missed revenue opportunities and common denial risks. It supports coding teams in improving accuracy while reducing rework and denials.

Best for:

Revenue‑cycle leaders aiming to improve accuracy, reduce denials, and protect margins.

Our value proposition

For clinicians: 30–50% less time on documentation and coding‑related admin, fewer after‑hours “pajama time” clicks, and better decision support at the point of care.
For health systems and clinics: higher documentation completeness, improved coding accuracy and first‑pass claim acceptance, and the ability to scale access without adding proportional staff.
For patients and communities: more face‑to‑face time with clinicians, faster access, and more consistent, guideline‑aligned care.

What makes the product innovative and unique is the combination of three elements:

An agent‑orchestration approach (not a single feature) that coordinates voice, OCR, RAG, and coding in one workflow.
Deep focus on safety, governance, and configuration for each organization (clinical guardrails, audit trails, explainability).
A builder mindset: health systems can configure and evolve their own AI agents and workflows rather than being locked into rigid, one‑off tools.