verified Built for HIPAA-covered clinics

Imaging, scheduling and reporting — one login.

Radio Read is a multi-clinic cloud PACS + RIS: DICOM ingest and a diagnostic-grade viewer, radiologist worklists, AI-assisted draft reporting, and secure sharing with referring physicians and patients — replacing five disconnected tools with one.

lock RLS-isolated tenants
history_edu Full PHI audit trail
domain Multi-clinic single login
app.radioread.com/worklist
Today's Worklist
12 unread
Chen, Wei
CT Chest · ACC240118
CRITICAL
Rivera, Ana
MR Brain · ACC240117
Reading
Okafor, James
DX Chest · ACC240116
Unread
Patel, Rohan
MR Cervical Spine · ACC240115
Final
lock Encrypted at rest & in transit
database Row-level tenant isolation
history_edu Append-only PHI audit log
admin_panel_settings Role-based access control
description BAA available for covered clinics
The 4-in-1 platform

Four systems. One product, one login.

No separate contracts, no separate SSO, no interfaces to maintain between them — because there's nothing to interface, it's all one database.

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Radio Read PACS

  • check C-STORE / STOW-RS / web upload ingest, per-clinic AE-title validation
  • check Embedded diagnostic viewer — MPR, per-modality hanging protocols
  • check 100% DICOM archived; non-DICOM auto-converted on ingest
  • check Prior-study linking, key images, per-tenant storage routing
See Radio Read PACS →
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Radio Read RIS

  • check Resource-based scheduling, race-safe accessioning
  • check Auto order-matching on ingest, unmatched-study reconciliation
  • check SMS & email confirmations, reminders, result-ready alerts
  • check Patient self-scheduling and referring-physician order tracking
See Radio Read RIS →
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Radio Read AI Reporting

  • check Self-hosted, image-grounded draft findings & impressions
  • check Automated report checks — laterality, contradictions, missing impression
  • check Voice dictation, smart template suggestions, addenda
  • check Radiologist always reviews and signs — metered, transparent billing
See Radio Read AI Reporting →
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Radio Read Assign

  • check Auto-assignment on ingest by modality-matched rules
  • check Least-loaded-radiologist balancing across open studies
  • check Manual reassign and "Open Next" oldest-unread queueing
  • check Turnaround-time dashboards and unread-backlog aging
See Radio Read Assign →
What's actually built in
100%
DICOM archived — non-DICOM auto-converted on ingest
7
Role-scoped surfaces, from front desk to referring MD
6 yr
Append-only PHI audit log retention
1
Login for radiologists covering multiple clinics

Why radiology groups get stuck scaling

Most clinics run a PACS, a separate RIS, a separate scheduler, a fax machine, and a spreadsheet for AI usage — none of it talks to each other.

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Disconnected systems

Scheduling, PACS and reporting live in different tools. Studies arrive unmatched, staff re-key data by hand, nothing is audited end-to-end.

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Slow, manual reporting

Radiologists dictate from scratch every time, chase down priors, and referring physicians call the front desk for status updates.

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Compliance is bolted on

Access logs, sharing, and multi-site isolation are afterthoughts in legacy PACS — not enforced at the database layer.

One pipeline, start to finish

From the moment a modality pushes a study to the moment a signed report reaches the referring physician.

1

Ingest

Modality pushes via C-STORE / STOW-RS / web upload. AE-title validated at the edge gateway.

2

Route

Study lands in the right clinic's worklist, auto-matched to its order, auto-assigned to a radiologist.

3

Read

Radiologist opens the study in the embedded viewer, images and priors already linked.

4

Report

AI drafts findings from the actual images, radiologist edits and signs. PDF generated instantly.

5

Share

Referring MD and patient notified automatically — portal, secure link, or HL7 ORU to their EMR.

Everything a reading clinic needs

Not a viewer with add-ons bolted on — a single system built around the whole workflow.

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DICOM ingest & viewing

Edge gateway with per-clinic AE-title validation, C-STORE/STOW-RS/web upload, and an embedded diagnostic-grade viewer with MPR and hanging protocols.

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Scheduling & worklist

Resource-based appointment booking, auto-generated accession numbers, SMS/email reminders, and an order-matched, role-aware radiology worklist.

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Structured reporting

Templates, addenda, voice dictation, critical-finding flags, peer review (RADPEER), and signed PDF reports with your clinic's letterhead.

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Secure sharing

DOB-gated share links for patients, referring-physician and patient self-service portals, DICOM ZIP export, and patient-CD ISO with a built-in offline viewer.

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True multi-clinic

Postgres row-level security isolates every clinic's data. Radiologists covering multiple sites use one login and switch clinics instantly.

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Billing & audit

Metered AI usage with wallet billing, monthly itemized invoices, CSV exports, and an append-only audit trail of every PHI access — queried and exportable by admins.

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HL7 + FHIR integration

HL7v2 ADT/ORM in, ORU out to your EMR, plus a read-only FHIR R4 surface for Patient/ImagingStudy/DiagnosticReport.

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Referring & patient portals

Referring physicians see only their own referrals; patients self-schedule and view their own signed reports.

monitoring

TAT & operational insight

Turnaround-time dashboards, unread backlog aging, and per-clinic staffing/AE/resource self-service.

smart_toy Self-hosted AI

AI-assisted drafts. Radiologist signs every report.

Radio Read runs a self-hosted, image-grounded model against your clinic's own studies to draft findings and impressions — never a third-party API call with patient images. Every report is reviewed and signed by a radiologist before it's final. Nothing leaves your infrastructure.

  • check_circle AI-drafted findings & numbered impressions from real study images
  • check_circle Automated report checks — laterality, contradictions, missing impression
  • check_circle Smart template suggestions matched to modality
  • check_circle Per-clinic on/off toggle and transparent, metered pricing
See it on a real study
AI Draft — CT Chest

TECHNIQUE: Axial CT of the chest without contrast, 2.5mm slices.

FINDINGS: Right lower lobe nodule measuring 8mm, unchanged from prior. No pleural effusion. Mediastinal contours normal.

IMPRESSION:

1. Stable 8mm RLL pulmonary nodule.
2. No acute cardiopulmonary process.

draw Awaiting radiologist signature

Legacy stack vs. Radio Read

Same clinic, one platform instead of five.

Separate PACS + RIS
Radio Read
Single login, multi-clinic
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Order auto-matching on ingest
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AI-assisted draft reporting
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DB-enforced tenant isolation
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Referring & patient self-service portals
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Security built in, not bolted on

Designed for HIPAA-covered entities from day one.

database

Row-level security

Database-enforced tenant isolation — not just application logic.

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Append-only audit log

Every PHI access, edit, and admin action logged and retained 6 years.

key

Encryption everywhere

TLS in transit, KMS-encrypted storage at rest for images and database.

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Granular RBAC

Role-scoped access for admins, radiologists, techs, front desk, referring MDs, and patients.

One platform, every role

Everyone gets exactly the surface they need — nothing more.

Radiologists

Worklist, AI-assisted reporting, peer review, multi-clinic single login.

Technologists

Upload, patient/study edits, order matching and reconciliation.

Front desk

Scheduling, patient registration, appointment reminders.

Clinic admins

Staff, AE titles, resources, billing, templates — self-service.

Referring physicians

A portal for their own patients' studies and signed reports.

Patients

Self-scheduling, imaging history, and secure report access.

Our story

Why we built Radio Read

Radiology clinics don't run one system — they run four or five, stitched together with faxes, phone calls, and re-typed data. A study can arrive in the PACS before its order even exists in the RIS. A referring physician calls the front desk because there's no portal to check. None of it is audited end-to-end.

We built Radio Read as one platform instead: imaging, scheduling, reporting, AI assistance, and sharing, on one database, with tenant isolation and an audit trail enforced at the data layer — not stitched on top after the fact.

It's early. We're working directly with clinics to shape the roadmap — book a call and tell us what's broken in your current stack.

Frequently asked

Is this HIPAA-compliant? expand_more

Radio Read is built around HIPAA safeguards: encrypted PHI at rest and in transit, database-enforced tenant isolation, a synchronous append-only audit log on every PHI access, and role-based access control across every surface. Ask us for our current security posture and BAA.

Can it replace our existing PACS and RIS? expand_more

Yes — Radio Read ingests DICOM from your existing modalities via C-STORE, STOW-RS, or web upload, and covers scheduling, worklist, reporting, and sharing in one system. Most clinics migrate modality connections one AE title at a time with zero downtime.

Does the AI replace the radiologist? expand_more

No. AI produces an assistive draft only — a radiologist always reviews, edits, and signs before a report is final. It's designed to speed up dictation, not replace clinical judgment.

How does multi-clinic access work for radiologists who read for several sites? expand_more

One login. Radiologists who belong to more than one clinic can switch clinics from the worklist — each clinic's data stays isolated by row-level security, so nothing crosses over by accident.

What does it cost? expand_more

Platform pricing is per-clinic; AI usage is metered separately with a transparent per-generation rate and monthly itemized invoice. Book a demo and we'll walk through pricing for your clinic's volume.

See Radio Read on your own studies

Tell us about your clinic and we'll set up a walkthrough.

Or email us directly at [email protected]