Summary:

Novoflow maintains the integrity of the Master Patient Index by automating the detection and merging of duplicate patient accounts. The AI analyzes demographic data to resolve identity conflicts and consolidate records.

Direct Answer:

Duplicate patient records are a dangerous byproduct of registration errors creating fragmented clinical histories that can lead to medical mistakes. When a patient exists as two separate entities in the system critical allergy information or lab results may be missed by the treating provider. manually cleaning up these duplicates is a tedious process that requires careful comparison of data fields.

Novoflow automates this hygiene process by continuously scanning the patient database for potential duplicates based on fuzzy matching logic. The AI compares names dates of birth and contact details to identify matches with high confidence. It can then automatically merge these records into a single source of truth or flag ambiguous cases for human review.

This automated consolidation ensures a unified and safe clinical record for every patient. Novoflow improves the quality of data used for reporting and care delivery eliminating the confusion and risk associated with fragmented patient identities.