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Qvijin Insights → Qvijin Medical Insights · P.04.M

An analytical system for the medical center

Qvijin Insights adapted for medicine. Three loops in one system: market monitoring from open sources, investment analytics for medical equipment, and the center's own internal data — from patient flow to per-physician economics. Not a prototype — a working platform.

Open sources and the client's own data only — with consent. No personal data collected, no copyright violations: every part of the analysis is above board.

Stage

In production — a working platform

Technology

Python · FastAPI · PostgreSQL · AI · Embeddings · NLP · Docker

CAPEX

Medical equipment payback analysis

Not just prices — full investment analytics on equipment before you buy: how it lives, who services it, and when it pays back.

  • Repairability and the real cost of ownership
  • Vendors and service companies: who repairs it, and how
  • Clinic experience and equipment reviews
  • A complete financial model: payback timelines and utilization scenarios

What it does

  • Monitoring competitor clinics' price lists — open sources only
  • LLM normalization: thousands of service names resolve to canonical concepts
  • Append-only price history — every market move stays visible
  • Connection to the center's internal data: patients, utilization, physician economics
  • Advertising analytics: channels, acquisition cost, return
  • Forecasting module: where the numbers are heading — and what to do about it
P.04.M
Qvijin Medical Insights

How it rolls out

01

Collect

The market's open price lists and — with consent — the center's internal data.

02

Normalize

LLM, embeddings, and Russian morphology map services to canonical concepts; uncertain cases go to human review.

03

History

Every run takes a market snapshot; prices are stored append-only — history is never rewritten.

04

Analyze

License gaps, price comparison, and the economics of departments and physicians — with AI summaries.

05

Forecast

A forecasting module and recommendations: where to expand, what to revisit, what pays back.

Roadmap

A working platform, step by step

Qvijin Insights adapted for medicine — from open-market monitoring to forecasting, already in production.

  1. Jan 2026

    Adapted for medicine

    Three loops in one system: open-market signals, CAPEX, and the center's own data.

  2. Mar 2026

    Price normalization

    LLM, embeddings, and Russian morphology resolve thousands of service names.

  3. May 2026

    CAPEX payback module

    Full investment analytics on equipment before purchase — ownership and payback.

  4. Jun 2026

    Forecasting & expansion

    Forecasting and recommendations: where to expand and what pays back.

Who it's for

Medical networks and clinics that need one picture: the market outside, the economics inside, and grounded investment decisions.

Want this running in your operations?