Mainzelliste offers an integrated suite of tools designed to ensure compliance with ethical and legal data protection standards.
Mainzelliste facilitates the generation of user-friendly pseudonyms and the storage of external identifiers. It also allows the generation of multiple identifiers of the same type linked to a single person. Especially used for pseudonymizing e.g. biological samples or medical data collected during a clinical visit.
Fault-tolerant record linkage ensures the reliable matching of identifying data (IDAT) across different sources despite inconsistencies such as spelling errors or missing fields. Using configurable similarity thresholds, the system accurately links records belonging to the same individual.
The patient list offers an intuitive interface for managing identifying data, allowing users to modify identifying fields or delete patient records. It includes a searchable patient list that supports queries based on IDs or specific field values, making it easy to locate individual records
Supports processing and withdrawal of modular informed consents, accommodating digital and scanned paper-based formats. It also provides a FHIR-compliant API to create, search, and delete consents programmatically, enabling easy integration with external systems.
The Multitenancy software architecture with granular permission allows to support multiple studies or projects — "tenants" — within a single software instance. This approach reduces maintenance overhead and operational costs. Each tenant has access only to its own patients data and benefits from highly configurable access control.
Clients can generate tokens to authorize specific actions or delegate authentication, allowing trusted users or systems to securely perform tasks on behalf of others. Mainzelliste also supports redirects and callbacks, enabling real-time notifications upon the completion of specific operations.
Contact us via e-mail or subscribe to our newsletter.