ArticleApplied clinical informatics2014
Using a scripted data entry process to transfer legacy immunization data while transitioning between electronic medical record systems.
Article in Applied clinical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transitioning from One Electronic Health Record to Another: A Systematic Review.Journal of general internal medicine · 2023Pooled it
- Terminology binding with SNOMED CT to bridge differences in information structures: a feasibility study.Journal of biomedical semantics · 2026Article
- Lessons learned in migrating from one commercial genetics clinical decision-making tool to another: Assessment of data integrity and utilization.Genetics in medicine open · 2025Article
- Defining Data Migration Across Multidisciplinary Ambulatory Clinics Using Participatory Design.Applied clinical informatics · 2021Review
- A rational approach to legacy data validation when transitioning between electronic health record systems.Journal of the American Medical Informatics Association : JAMIA · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundTransitioning between Electronic Medical Records (EMR) can result in patient data being stranded in legacy systems with subsequent failure to provide appropriate patient care. Manual chart abstraction is labor intensive, error-prone, and difficult to institute for immunizations on a systems level in a timely fashion.
objectivesWe sought to transfer immunization data from two of our health system's soon to be replaced EMRs to the future EMR using a single process instead of separate interfaces for each facility.
methodsWe used scripted data entry, a process where a computer automates manual data entry, to insert data into the future EMR. Using the Center for Disease Control's CVX immunization codes we developed a bridge between immunization identifiers within our system's EMRs. We performed a two-step process evaluation of the data transfer using automated data comparison and manual chart review.
resultsWe completed the data migration from two facilities in 16.8 hours with no data loss or corruption. We successfully populated the future EMR with 99.16% of our legacy immunization data - 500,906 records - just prior to our EMR transition date. A subset of immunizations, first recognized during clinical care, had not originally been extracted from the legacy systems. Once identified, this data - 1,695 records - was migrated using the same process with minimal additional effort.
conclusionsScripted data entry for immunizations is more accurate than published estimates for manual data entry and we completed our data transfer in 1.2% of the total time we predicted for manual data entry. Performing this process before EMR conversion helped identify obstacles to data migration. Drawing upon this work, we will reuse this process for other healthcare facilities in our health system as they transition to the future EMR.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.