TY - JOUR AU - Schreiber, Richard; Garber, Lawrence TI - Data Migration: A Thorny Issue in Electronic Health Record Transitions—Case Studies and Review of the Literature SN - 2566-9346 PY - 2020 JO - ACI open JF - ACI Open LA - EN VL - 04 IS - 01 SP - e48 EP - e58 DA - 2020/05/26 KW - data migration KW - data conversion KW - information KW - electronic health records KW - EHR transition AB - Objective To review the existing literature regarding data migration during electronic health record (EHR)-to-EHR transitions and add two case studies on this topic.Methods Very few publications exist that detail the processes and potential pitfalls of data migration during EHR transitions. One of the authors participated in a panel discussion at the American Medical Informatics Association symposium in 2015; at the time, only five empiric or experiential research articles on any aspect of EHR transitions were available. Of those, only two mentioned their experiences with data migration or conversions. A detailed PubMed and CINAHL (Cumulative Index to Nursing and Allied Health Literature) search in March 2019 yielded only one more article giving details about data migration.Results The two new case studies contrast starkly: one relied on manual abstraction and data entry, whereas the other leveraged several electronic tools. The literature reflects this diversity of approach: no two sites have reported the same approaches. The authors identify nine domains of potential consequences of the currently available techniques and offer mitigating strategies.Discussion Very little empiric information exists in the peer-reviewed literature regarding data migrations during EHR-to-EHR transitions; yet the case studies reflect that much remains suitable for a prospective study.Conclusion This report adds two new case studies to the six already reported in the literature. There is a wide disparity in techniques of data migration, each with its own set of pros and cons, which sites must consider during an EHR-to-EHR transition. Such transitions would benefit from prospective research on evaluation and knowledge discovery. PB - Georg Thieme Verlag KG DO - 10.1055/s-0040-1710007 UR - http://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0040-1710007 ER -