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Appl Clin Inform 2024; 15(02): 265-273
DOI: 10.1055/a-2255-9749
CIC2022

Improving Immunization Health Care Data Quality using Two-Dimensional Barcoding and Barcode Scanning Practices

Faisal Reza
1   Immunization Services Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
3   Centers for Disease Control and Prevention Vaccine 2D Barcodes Team, Atlanta, Georgia, United States
4   Centers for Disease Control and Prevention Novel Coronavirus (COVID-19) Public Health Emergency Response Team, Atlanta, Georgia, United States
,
Caroline Jones
2   Deloitte Consulting LLP, Alexandria, Virginia, United States
3   Centers for Disease Control and Prevention Vaccine 2D Barcodes Team, Atlanta, Georgia, United States
4   Centers for Disease Control and Prevention Novel Coronavirus (COVID-19) Public Health Emergency Response Team, Atlanta, Georgia, United States
,
Jenica H. Reed
2   Deloitte Consulting LLP, Alexandria, Virginia, United States
3   Centers for Disease Control and Prevention Vaccine 2D Barcodes Team, Atlanta, Georgia, United States
4   Centers for Disease Control and Prevention Novel Coronavirus (COVID-19) Public Health Emergency Response Team, Atlanta, Georgia, United States
› Author Affiliations Funding None.
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Abstract

Background Manual data entry is time-consuming, inefficient, and error prone. In contrast, leveraging two-dimensional (2D) barcodes and barcode scanning tools is a rapid and effective practice for automatically entering vaccine data accurately and completely. CDC pilots documented clinical and public health impacts of 2D barcode scanning practices on data quality and completeness, time savings, workflow efficiencies, and staff experience.

Objectives Data entry practices and entered records from routine and mass vaccination settings were analyzed. Data quality improvement opportunities were identified.

Methods A sample of 50 million emergency use authorization (EUA) coronavirus disease 2019 (COVID-19) vaccine records were analyzed for accuracy and completeness across three data fields: lot number, expiration date, and National Drug Code (NDC). The EUA COVID-19 vaccines lacked a 2D barcode containing these data fields, which necessitated manual data entry at administration. A CDC pilot at clinic compared scanned and manually entered data for routine vaccines across these same data fields.

Results Analysis of 50 million manually entered EUA COVID-19 vaccine administration records indicated significant gaps in data accuracy and completeness across three data fields. Over half of the analyzed EUA vaccine NDCs (53%) and one-third of the expiration dates (35%) had missing or inaccurate data recorded. Pilot data also showed many errors when manually entered. However, when the pilot's routine vaccines were scanned (out of 71,969 records), nearly all entries were complete and accurate across all three data fields (ranging from 99.7% to 99.999% accurate).

Conclusion Vaccine 2D barcode scanning practices increased data accuracy and completeness (up to 99.999% accurate) across data fields assessed. When used consistently, vaccine 2D barcode scanning can resolve issues demonstrated in manually entered data. To realize these benefits, the immunization community should widely use scanning practices. To increase use, CDC developed a Vaccine 2D Barcode National Adoption Strategy and implementation resources.

Keywords

public health - vaccines - data quality - immunization - vaccination - health records - population health - registries

Protection of Human and Animal Subjects

Not applicable.




Publication History

Received: 15 July 2023

Accepted: 25 January 2024

Accepted Manuscript online:
29 January 2024

Article published online:
03 April 2024

© 2024. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

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