The waveform is clean.
The report header has never been.
Cardiology data flows from ECG machines, echo labs, and cath labs into AI analysis platforms every day - carrying patient identity in report headers, device fields, and HL7 wrappers that most de-identification pipelines never touch. CardioIQ changes that.
AI vendors want your ECG data.
Your patients' names are in the header.
Cardiology AI platforms consume 12-lead ECGs, echo reports, and Holter readings to train and run their models. Most receive files exported directly from GE Muse, Philips Cardiostation, or DICOM-wrapped SCP-ECG - all of which carry patient identity in report headers, device fields, and HL7 message wrappers.
The CardioIQ pipeline.
Clinical measurement data is preserved in full. Only identity fields are removed.
What CardioIQ covers.
Signal-preserving de-identification
CardioIQ separates identity from clinical signal at the format level. Waveform data, measurements, interval calculations, and rhythm interpretations are preserved in their original precision. Only patient-identifying fields are modified.
Multi-modality coverage
12-lead ECG, Holter monitor, echocardiography reports, and cath lab data all handled natively.
Echo report text scrub
Echocardiography PDF and structured reports parsed for PHI. Clinical findings fully preserved.
Device field handling
Device serial numbers, station IDs, and location fields processed - not just patient demographics.
Audit trail per study
Every de-identification decision signed and logged. Exportable for HREC and TGA review.
Built for cardiology lab workflows.
CardioIQ integrates with your existing cardiology information system and AI vendor pipeline - transparent to clinical staff, automatic for compliance teams.