Data Collection¶

Data collection supports studies and registries with consistent, validated capture workflows. Real-time plausibility checks reduce errors at the point of entry.

For multicentre scenarios, sites, roles, and approvals can be managed flexibly. This helps maintain data quality and comparability across distributed teams.

Data Management Plan¶

Data is entered online by medical professionals and physicians through clearly structured forms. This enables intuitive capture without extensive training.

Values are validated during data entry. In addition, institutions can define further quality controls, for example requiring specific roles and permissions to close a consultation.

Completed consultations can be exported as CSV. For research use, data is transformed into a tabular structure and pseudonymized before release.

Forms and Data Capture¶

Data capture in HealthData.ai is based on dynamic and configurable forms. These can be tailored to specific medical questions and support standardized, high-quality data entry.

Key capabilities include:

freely definable fields and forms
validation rules to ensure data quality
mandatory fields and plausibility checks
versioning of forms and data schemas

This flexibility supports both simple surveys and complex clinical documentation scenarios.