Healthcare organizations are becoming increasingly sensitive about the problems involved in matching multiple patient identities within the healthcare system, and most solutions rely on record linkage. However, there’s another way to look at it: what we ultimately need are tools that intelligently adapt and learn variations in ID record fields, and can take advantage of all the available information to properly identify someone.
Consider what we learned in the final report on the Patient Identification and Matching Initiative sponsored by the Office of the National Coordinator for Health Information Technology (ONC).
