Med-Core Pipeline Active

Your Medical Secretary
is now
Code.

We automate the cognitive grunt work of medical practice. Stop paying an hourly wage for manual transcription. Our infrastructure synthesizes audio and patient history into perfect clinical reports instantly.

The Problem

The "Hourly Wage" Bottleneck

In the traditional clinic, data entry is a tax on revenue. You dictate, an employee listens. You read a PDF, you type a summary. This linear workflow is bound by human typing speed (40 WPM) and fatigue.

Manual Inefficiency

  • Secretary listens, pauses, rewinds, types.
  • Manually reading 50+ page CNESST histories.
  • 48-hour turnaround time.
The Mission

Autonomous Synthesis

LumaWeb removes the human loop. Our system ingests raw data—dictations and PDF history—and cognitively processes it into your template.

The LumaWeb Way

  • Instant Context Analysis (Gemini Pro).
  • Automated .docx generation.
  • Time: ~10 minutes per massive file.
Core Workflows

Medical Automation Services

Two distinct pipelines designed for CNESST reclamations and independent medical examinations.

PIPELINE A

Independent Medical Exam

The "hands-off" transcription replacement. You simply record your findings during or after the exam, upload the audio file alongside any referral documents, and the system synthesizes a complete, structured report.

1
Input: Audio Dictation (.m4a) + PDF Docs
2
AI Action: Cross-reference audio with docs
Output: Formatted .DOCX (Ready to sign)
PIPELINE B

Medical Record Review

For complex CNESST claims involving massive documentation. The AI ingests hundreds of pages of medical history, extracting chronological antecedents, identifying inconsistencies, and summarizing causality without fatigue.

1
Input: Massive History (50+ pg PDF)
2
Action: Chronological Extraction
Output: Formatted .DOCX Report
Under the Hood

Built for
Medical Data

Our Python-based backend handles the complexity of medical lexicon. We combine massive context windows for reading deep history with high-fidelity audio transcription.

Context-Aware

The AI understands the difference between a past antecedent and a current complaint.

Template Enforcement

We don't return raw text. We inject data directly into your clinic's letterhead and formatting standards.

server.js — 80x24

system@luma:~$ initiate_workflow --type=revision

Loading CNESST_File_004.pdf (142 pages)... [OK]

>> Analyzing chronological history...

>> Extracting antecedents (2018-2024)...

>> Generating summary...

>> SUCCESS. Revision report generated in 642s.

Quebec & Canada Compliant

We understand the sensitivity of medical data. Our infrastructure is built with "Privacy by Design" principles, ensuring full compliance with provincial and federal regulations.

Strict Compliance

Fully compliant with **Quebec Law 25** and **PIPEDA** (Canada). We implement strict data governance policies, retention schedules, and access logs.

Secure & Sovereign

All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Processing and storage occur exclusively on servers located within **Canada**, satisfying data sovereignty requirements.

Build With Us

Are you a clinic manager or a developer looking to integrate our medical AI pipeline into your existing software? We offer custom API endpoints.

Get in Touch