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Sutrix cleans and reconciles EHR records, clinical notes, wearables, and surveys, then applies your study’s definitions to build the dataset your team needs. Reuse the same rules as new records arrive or the study changes. Cut data preparation time by 80%.
“Sutrix took our injury and follow-up questionnaires from inconsistent records to findings we could act on, in days instead of weeks. Our follow-up treatment plans are 28% more effective.”
Bring together patient records, reconcile inconsistencies, and apply your study’s rules, with the source behind each prepared value.
A research team pulling from an EHR warehouse of hundreds of tables, registries and claims extracts spends 3 to 4 months getting from the pull to an analysable dataset, with race and ethnicity categories that do not match across sources and single pulls that run 12 hours.
A registry of 500 patients built over 20 years in REDCap exports to Excel with coded fields, checkbox columns and blanks; isolating the ten variables a question needs and chasing each blank back to the notes takes 4 to 5 hours per project.
Registry extracts carry their own conventions: 999 and 888 for missing values, free-text categories and columns whose meaning changed over the years, and a comparison run on the raw extract is a comparison run on those conventions.
Sutrix prepares a study’s data as a configured, repeatable workflow with its own record: which sources came in, which study definitions were applied, how conflicting records were reconciled, which cases went to staff for review, and who approved each update.
Protected health information is handled under HIPAA's administrative, physical, and technical safeguards: access controls, encryption in transit and at rest, and audit logging.
Study data is used only for your studies. Sutrix never uses it to train models, and source credentials are stored separately in encrypted form, outside study conversations.
Access to study data is scoped by workspace and study. Requests are checked against the signed-in user's permissions.
Sources linked, each study's definitions applied, conflicting records reconciled and unresolved cases routed to your staff for review, as one configured, repeatable workflow.
Tell us where your study data lives, how the study defines it and how often it has to be refreshed.
We’ll show you how Sutrix turns it into a reviewed, study-ready dataset.
