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No More Manual DICOM Prep.


Qlro Automates Data Proprocessing for Medical Image

Innovative DATAOPS Solutions

At Qlro, we are dedicated to providing innovative DataOps solutions that cater to your medical imaging needs. Our focus is on delivering exceptional quality and value in the realm of DICOM and radiology to our customers.

Solution

(1) Automated Image Data Pipeline

Ingest, validate, and standardize multimodal DICOM data with a repeatable workflow.

(2) Configurable De-ID & QC

Apply site-specific de-identification and QC checks before packaging datasets.

(3) Manifest & Audit-Ready

Generate manifests and traceable audit logs for every run—from intake to export.

About Qlro

Qlro Does Not Retain Patient Data or Medical Imaging Studies.

NO MEDICAL DATA STORAGE

Qlro keeps raw DICOM in your environment and saves only reusable Pre-processing settings and Audit-ready workflow history.

How it works

Receive

Receive

Receive

Ingest DICOM studies from PACS or a DICOM sender and auto-organize them by Study/Series.

Process

Receive

Receive

Run QC checks, apply rule-based filtering, and optionally de-identify metadata under policy control.

Ship

Receive

Ship

Export AI-ready datasets with a reproducible manifest and an audit-ready history log.

Features

De-Identification

De-Identification

De-Identification

Remove PHI from DICOM metadata with site-specific policies.

Quality Control

De-Identification

De-Identification

Automatically validate studies and flag issues before export.

Pre-Processing

De-Identification

Export Automation

Apply reusable recipes to filter, normalize, and transform DICOM.

Export Automation

Export Automation

Export curated datasets with manifests and audit-ready logs.

Retry/Edit

Re-run pipelines, tweak rules, and compare outputs—traceably.

Standardization

Standardize tags and structure for consistent, AI-ready datasets.

Qlro Teaser Deck

Find Out More About Qlro on Our Teaser Deck.

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