Case Study
Large Teaching Hospital
Challenges Maintaining a clean MPI was hampered by technical limitations that prevented ongoing electronic merging of duplicates between its clinical systems. Epic Identity’s out-of-the-box algorithm settings resulted in sub-optimal identification of duplicate patient records: • A high number of false alarms required manual evaluation. False alarms are records that are identified by the system as being a possible duplicate when, upon further validation, they are proven to not belong to the same patient. • A significant number of false- negatives resulted in undetected duplicate records in the MPI. A False negative is a duplicate pair that was missed by the patient matching algorithm. Solutions IDOptimize ® from Just Associates, is a unique service that optimizes a f