SEER*DMS evaluates incoming records against existing patient information using a combination of deterministic, fuzzy, and probabilistic matching techniques. Registry-specific rules and configurable workflows allow organizations to tailor matching processes to their operational needs.
When a match cannot be confidently established, SEER*DMS automatically creates a manual review task for registry staff. If no existing patient is identified, the system creates a new Patient Set to store and consolidate patient information.
SEER*DMS uses a multi-layered approach to:
- Identify potential duplicate patient records
- Link incoming source records to the correct patient
- Merge duplicate Patient Sets while preserving source information
- Reduce unnecessary manual review
- Support ongoing duplicate detection and resolution
IMS integrated the Match*Pro algorithm library into SEER*DMS to enhance duplicate detection and apply the same matching logic used in the NAACCR Deduplication Protocol.