Consented, de-identified clinical data for [medical ASR / clinical documentation / healthcare AI], built with practising clinicians.
We build medical collection with clinicians rather than around them. The method is defined: informed consent, compensation, documentation that follows every record, and review by people who understand the clinical setting.
If you have a specific requirement, this is the useful moment to raise it. Early requirements decide what gets collected first and under which protocol.
How clinical collection runs, from protocol to delivery.
Protocol with clinicians
Collection protocols are written with practitioners in each setting, so capture fits the clinic workflow and does not interrupt care.
Consent patients understand
Plain-language consent, in the language of the setting, covering research and model training explicitly. Participants are compensated and the record is kept.
De-identify and review
De-identification rules are agreed in the spec before the first record is captured. Review is done by people who understand the clinical context.
Deliver with provenance
Records are delivered with their consent reference and processing log, so an audit can start from any single record.
Data is handled in line with [DPDP Act (India) / GDPR / HIPAA].
