For over 3 years, the platform team has been developing a fresh approach to clinical data collection. Rather than many single-purpose applications, our goal is to develop platforms: modular, extensible, and easy to customize for different use cases.

Starting as a simple database for recording standardized data about patients with a cancer-predisposition syndrome, the project evolved into the Clinical Archive for Data Science platform, or cards for short. It features a questionnaire designer supporting a variety of question types and survey structures, built-in support for standardizing the data at entry using hundreds of medical ontologies available on BioPortal, natural language processing for identifying medical terminology in blocks of text notes, a researcher/clinician-facing portal paired with a patient-friendly interface for capturing health data directly from the source, support for statistics, a granular permissions model, powerful APIs for interoperability, and advanced configurability to match diverse data collection needs.

Thanks to its flexibility, the cards platform serves different purposes in different settings: from oncology to cardiology, from longitudinal research studies to patient-reported outcomes, and more.