Reviews addressing the challenges of electronic health record (EHR)-to-EHR transitions and data migration highlight major patient safety concerns, noting that allergy and adverse drug reaction documentation is particularly vulnerable due to free-text entries, inconsistent standards, and semantic interoperability limitations. Across the literature reviewed, allergy data were frequently handled via manual abstraction, partial electronic conversion, or hybrid approaches rather than full automated migration. Reported issues included incomplete transfer, need for clinician re-entry or verification, mapping difficulties during electronic conversion, and reliance on continued access to legacy systems for verification. Case studies demonstrated that active allergies were prioritized for transfer, while inactive or historical data were often left in legacy systems, and that allergy data required careful validation regardless of migration strategy. Overall, both reviews emphasized a need for explicit planning, validation, and post-transition monitoring of allergy data to mitigate patient safety risks. [1], [2]
A 2020 retrospective chart review describes a system-wide transition from a legacy EHR to Epic at Vanderbilt University Medical Center. Investigators reviewed 511 patients evaluated in a dedicated drug allergy clinic between March 5, 2014, and November 1, 2017, to assess the accuracy of revised drug allergy label transfer across EHR systems. A total of over 3 million allergy labels were migrated; approximately 226,000 labels were not codable and required manual reconciliation. Overall, 79/511 patients (15.4%) had discrepancies between EHRs, involving 114 specific drug allergy labels. Of these, 15/114 (13%) were reacquired after having been removed in the legacy EHR, 69/114 (61%) were lost, and 30/114 (26%) had altered or incomplete reaction details. Forty of the 114 discrepant labels (35%) suggested potentially severe reactions, including anaphylaxis, Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN), or drug reaction with eosinophilia and systemic symptoms (DRESS), affecting 28/511 patients (5%); 8/28 (29%) had subsequent encounters in the new EHR in which allergy review occurred but discrepancies persisted (Table 1). Seven patients who had been de-labeled in the 6 weeks prior to the EHR transition reverted to their pre-testing allergy labels post-transition, including penicillin (n= 9), sulfonamide (n= 4), fluoroquinolone (n= 1), and cephalosporin (n= 1) labels, with penicillin accounting for 45% of re-labeled cases. Re-labeling was observed for 19 medications after the EHR transition compared with 14 medications in the pre-transition period. Reacquired labels were attributed to post–go-live data update limitations, extensive reliance on free-text allergy entries in the legacy system, and incomplete reconciliation processes. No adverse clinical events were identified. The authors emphasize the need for standardized documentation, structured data entry, and validation of allergy records to prioritize patient safety. [3], [4]