Case Study: Large Teaching Hospital achieves 40% more duplicate identification and 38% fewer false alarms with Just Associates' IDOptimize

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Preview of the Large Teaching Hospital Case Study

Large Teaching Hospital Enhances Patient Matching Accuracy with Just Associates' IDOptimize®

Large Teaching Hospital struggled to maintain a clean MPI because Epic Identity’s out-of-the-box algorithm settings produced many false alarms and significant false negatives, and technical limitations prevented ongoing electronic merging of duplicate records. To address this, the hospital engaged Just Associates and its IDOptimize service to improve patient matching performance.

Just Associates optimized the facility’s Epic Identity Duplicate Configuration using a two‑phase analysis and new IDC settings; the changes identified 40% more real duplicates, reduced the false alarm rate by 38%, and missed fewer than 1% of the possible duplicate pairs previously identified by Epic. These gains from Just Associates’ IDOptimize translated into stronger EMPI data integrity, improved patient care and safety, and greater operational efficiency.


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