Interactive prototype · CBAHI accreditation

One platform for hospital quality, hosted inside your walls.

Q-UNIFY runs CBAHI compliance, quality documents, staff files and OVR incidents in one place. The AI reads every document and flags gaps before the surveyor finds them.

50
departments
101
user accounts
0
documents leaving the network
Hospital building

0.0

score

Hospital quality score

Survey-ready in 147 days

+2.4 pts vs last month

The demo

3 interfaces, one application

Choose your role to explore the prototype.

Six modules, one quality picture

Document lifecycle

Upload, validation, version history and expiry tracking for the A to K quality files.

CBAHI standards

Chapters, standards and measurable elements, each with its evidence and a live compliance score.

Employee files

Required licences and certifications per job role, with compliance per person and per department.

OVR incidents

Reporting form, investigation, root cause, corrective actions with owners and due dates.

Executive dashboard

Weighted quality scoring across 50 departments and automated periodic reports.

AI engine

Reads documents, suggests matching standards, detects missing evidence and raises alerts.

On-premises AI

The AI does the reading. Your team keeps the decisions.

  • Local model installed on the hospital's servers
  • Strict isolation between departments, full audit log
  • Arabic (right to left) and English, switchable per user
  • Single sign-on with the hospital directory (Active Directory)
Hospital ward

Extracting text

Fire drill report Block C.pdf · 6 pages

Classifying

Quality file H · Facility & safety

Matching CBAHI

FMS.7.2 · 74% relevance

Alert raised

Block D drill missing for 2026

Ready for your IT department

Packaged with Docker for the hospital's servers. Your IT team owns the code from day one.

Full source code
Database schema (PostgreSQL)
Technical documentation
Testing and deployment plan
Deployment guide
Administrator guide

Questions from quality and IT teams

No. The AI model runs on the hospital's own servers. Documents, scores and incidents stay inside the hospital network.

Always a person. The AI suggests standards with a relevance score, the quality team confirms or rejects every match.

Each department head only sees their own department. Isolation is enforced in the database, and every sensitive action is written to the audit log.

Full source code, database schema, technical documentation, deployment guide and administrator guide, packaged with Docker for the hospital's servers.