Order, schedule, scan, report, deliver —
in one tracked workflow.
Manages the full imaging journey: from order to scheduled slot, scan acquisition to radiologist report, and final delivery to the ordering doctor and patient — with AI extraction for incoming external imaging reports.
HIS module
Radiology
AI inside
AI Document Extraction
External report capture
AI MediScribe (Reporting)
Radiologist dictation
2–6 hrs
Report TAT · was 24–48 hrs
Imaging is high-revenue, high-cost, and badly tracked in most Indian hospitals.
Doctor orders an X-ray — patient walks to radiology, waits without a slot
Technician runs the scan, prints the film, hands it to the patient
Radiologist's report comes 2 days later — by then, the patient is gone
External MRI / CT reports arrive on a CD or WhatsApp — never make it into the chart
Billing for radiology is fragmented across modalities
Imaging delays don't just slow care — they slow IPD turnover and TPA reimbursement.
Every workflow you'd expect.
Plus the AI parts you don't.
Order entry — from OPD / IPD / ER, by modality
Scheduling — radiology slot allocation by modality and machine
Patient queue — live view of waiting / in-progress / completed
Scan acquisition log — technician, modality, timestamp, machine
Radiologist reporting — voice-driven via AI MediScribe, templated, structured
Report delivery — print, PDF, WhatsApp, email, patient portal
External report capture — AI extraction for incoming imaging reports
DICOM / PACS — image management on supported PACS systems
Radiology analytics — modality utilisation, technician productivity, TAT
Specialist agents,
not generic AI.
AI Document Extraction
External report capture
Reads MRI / CT / USG / X-ray reports from referring centres — extracts findings, impressions, modality, and attaches to the right encounter.
AI MediScribe (Reporting)
Radiologist dictation
Radiologist dictates the report — captured as a structured radiology report with technique, findings and impression.
The full checklist — nothing missing.
Not a silo. A connected workflow.
Before vs. after — measured in real hospitals.
Built for these hospitals in particular.
Hospitals with in-house radiology departments
Multi-modality imaging centres
Hospitals heavily dependent on external referrals for advanced imaging
Diagnostic centres operating standalone
Hospital chains needing centralised radiology visibility
Questions hospital teams actually ask.
More questions? Bring them to the demo — we'll walk through the workflow on a real hospital scenario.
Cut radiology TAT — and stop losing imaging revenue.
Book a demo and see the radiology workflow on a real imaging case.