Registry schema
Patient, lesion, visit, image, treatment, and outcome tables designed for longitudinal scar research.
OpenScar turns longitudinal scar care into structured research assets: a six-table registry schema, synthetic mock data, validation scripts, and clinician-reviewable ScarClaw workflow skills.
The v0.1 starter focuses on standardization before modeling. The goal is to make scar data legible, comparable, and safe to review.
Patient, lesion, visit, image, treatment, and outcome tables designed for longitudinal scar research.
Repeatable capture, quality flags, privacy status, and conservative before/after comparison.
Symptoms, treatment exposure, scale scores, and outcome labels kept separate and clinician-reviewable.
Ten workflow skills cover imaging, clinical follow-up, research abstraction, consent, registry entry, and patient education.
The schema is small by design so a real clinic can pilot it before any ambitious model training.
The next practical asset is a 20-50 case registry workflow that can be run inside an approved clinical environment before any model work.
Defines cohort boundaries, source material, de-identification flow, review roles, quality gates, and stop conditions.
Maps one retrospective case into patient, lesion, visit, image, treatment, and outcome tables.
Provides empty schema-compatible CSV files for pilot entry and validation.
A clinic-facing capture layer turns the stable schema into baseline forms, patient-reported symptom fields, photo metadata, and a REDCap-ready data dictionary.
Defines a prospective capture flow for new visits while keeping OpenScar inside research and documentation support.
Captures lesion phenotype, symptoms, treatment exposure, outcome windows, and patient-reported concerns.
Maps every schema field to a prospective source for REDCap, Excel, or internal registry setup.