I’ve been assigned to find a solution for improving name matching in medical records. The current system processes 2-3 records at a time, identifying similar names for the bot to determine if they belong to the same person. If the similarity meets a certain threshold (currently using the Jaro-Winkler algorithm), the bot merges the records.
Challenges:
The matching process needs to handle:
- Hyphenated last names
- Nicknames
- Cases where part of a name is missing
Request:
Is there a UiPath module or a more effective algorithm available that can enhance this name-matching process when Jaro-Winkler similarity score falls below a defined threshold?