Vaccination Schedules Recommended by the Centers for Disease Control and Prevention: From Human-Readable to Machine-Processable

These CDSS rules can be important contributions to informatics communities, reducing redundant efforts, which is particularly significant in resource-limited settings. Despite the maturity and concise presentation of the CDC recommendations, careful attention and multiple layers of verification and review are necessary to ensure accurate conversion. The publicly shared CDSS rules can also be used for health and biomedical informatics education and training purposes.

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Publication Details

Journal
Vaccines
Published
2025-04-22
DOI
https://doi.org/10.3390/vaccines13050437
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Vaccination Schedules Recommended by the Centers for Disease Control and Prevention: From Human-Readable to Machine-Processable

Adam Wright, Dean F. Sittig, Christian Nøhr, Timothy Law et al.
Vaccines
Biomedical Text Mining and Ontologies
article

Vaccination Schedules Recommended by the Centers for Disease Control and Prevention: From Human-Readable to Machine-Processable

Adam Wright, Dean F. Sittig, Christian Nøhr, Timothy Law, Hua Min, Ronald W. Gimbel, Mytchell A. Ernst, Lior Rennert, David J. Robinson, Aneesa Weaver, Arild Faxvaag, Xia Jing, Paul Biondich, Yang Gong, Richard D. Boyce, Samuil Orlioglu, Kojo Abanyie, Akash Shanmugan Boobalan, Chloe Crozier
article en

Abstract

These CDSS rules can be important contributions to informatics communities, reducing redundant efforts, which is particularly significant in resource-limited settings. Despite the maturity and concise presentation of the CDC recommendations, careful attention and multiple layers of verification and review are necessary to ensure accurate conversion. The publicly shared CDSS rules can also be used for health and biomedical informatics education and training purposes.

VaccinesVol. 13(5)
Regenstrief Institute (US), George Mason University (US), University of Pittsburgh (US), Vanderbilt University (US), Norwegian University of Science and Technology (NO), Ohio University (US), Indiana University – Purdue University Indianapolis (US), Clemson University (US), Aalborg University (DK), University of Cumbria (GB)
Partnerships for the goals
Openalex Percentile: Top 92%
Biomedical Text Mining and Ontologies
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