Records & labs
History, with context.
Clinical records become more useful when you can trace each observation back to its source and forward to a follow-up.
Discuss this dataCustom collection concept. Availability and review depend on the study.
What the collection
can include.
Sources and capture methods are selected with your team before recruitment.
Lab reports
Analytes, values, units, reference intervals and collection dates, with the source report retained in the permitted delivery scope.
Clinical documents
Participant-authorized visit summaries, medication lists and imaging reports. Document type and encounter dates remain explicit.
Linked follow-ups
Repeat measurements and participant updates linked with a study-specific identifier and a documented time window.
Made for your task.
Document extraction, record summarization and reasoning across a longitudinal history.
Cohort
Record types, inclusion criteria, recency and required repeat observations.
Preparation
Extraction, terminology mapping and unit normalization, while preserving original values and source references.
Review
Field-level source checks, duplicate detection and documented extraction uncertainty.
Delivery
Structured observations, document references, a data dictionary and a transformation log.
Scope matters.
Participant uploads do not imply direct EHR access. Imaging reports are distinct from image files; DICOM access and specialist annotation require separate feasibility review.
Inspect the delivery.
Data & metadata
Agree on source files, structured observations, identifiers, timestamps and permitted linkage.
Labels & quality
Document label definitions, reviewer roles, uncertainty and acceptance rules. Separate collected data from derived interpretation.
Rights & access
Define permitted use, recipients, transfer method, retention and withdrawal handling before collection.
