CC BY 4.0 · ACI Open 2020; 04(01): e48-e58
DOI: 10.1055/s-0040-1710007
Original Article
Georg Thieme Verlag KG Stuttgart · New York

Data Migration: A Thorny Issue in Electronic Health Record Transitions—Case Studies and Review of the Literature

Richard Schreiber
1  Division of Informatics, Department of Medicine, Geisinger Commonwealth School of Medicine, Camp Hill, Pennsylvania, United States
,
Lawrence Garber
2  Division of Informatics, Reliant Medical Group, Worcester, Massachusetts, United States
› Author Affiliations
Funding None.
Further Information

Publication History

02 December 2019

12 March 2020

Publication Date:
26 May 2020 (online)

  

Abstract

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.

Protection of Human and Animal Subjects

This study does not contain any patient information and was not research, and thus it did not require Institutional Review Board review.