Data, team and integrations
Your data out cleanly, and your team in the loop
Export a study de-identified by default, archive it complete with casebooks, read it from R or Python, and keep the team talking beside the work.
Exports with a data dictionary
Export the study as CSV files with a data dictionary, codes and units, de-identified by default with dates shifted per patient. Identified exports are for a site’s own staff, with a reason.
- A complete study archive: data, casebooks, documents, imaging and the audit trail in one file
- A casebook PDF for any patient
- Patients and study data imported from spreadsheets
A read API for your own analysis
Statisticians read de-identified study data from R, Python or a laboratory system, with a key for each study. Pages and rate limits keep it predictable.
- An OpenAPI description to build against
- Keys that can be revoked at any time
Chat beside the study
Groups for a study or an organization, direct messages to anyone you share a study with, @mentions and #tags. Whoever missed messages gets one morning email with counts and names, never the messages themselves.
Long clinical records, summarizedBeta
Hachiko, ANI-ML’s summarizer, reads a clinical PDF on a patient’s record and writes the summary you ask for: your own prompt or a saved template, in five types from a paragraph to a table.
- Only for organizations that opt in; records sent for a summary are processed by ANI-ML in the United States
Connections to your clinic’s recordsComing
Connections to Instinct and Shepherd are built and waiting on each vendor’s sign-off. Once they open, a site searches its own records system from the patient’s page, and names go only to that clinic’s own system.
Pictures show fictional studies.
Next: Studies and patientsRun your next study in ARC
Start with a free pilot study, or let your team try a sandbox of fictional data first. We set up your organization with you.