Context-Based mapping of patient educational materials and standard clinical terminology

Examining the keywords mapped to each SNOMED CT concept in different categories provided valuable insights into how terms are distributed and improved our understanding of the specific terms used in PEM. When educational materials are mapped to standard clinical terminologies and integrated into the Electronic Health Record (EHR), patients receive personalised and relevant health information, potentially improving engagement and health outcomes. This approach may reduce the workload of healthcare personnel, reduce miscommunication, and improve overall healthcare efficiency.

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Publication Details

Journal
Contemporary Nurse
Published
2025-10-22
DOI
https://doi.org/10.1080/10376178.2025.2569688
Citations
1
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.81
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article

Context-Based mapping of patient educational materials and standard clinical terminology

Yu Jin Park, Jisan Lee, Yae Won Tak, Jeong Hyun Han et al.
1 citations
Contemporary Nurse
Biomedical Text Mining and Ontologies
0.81
article

Context-Based mapping of patient educational materials and standard clinical terminology

Yu Jin Park, Jisan Lee, Yae Won Tak, Jeong Hyun Han, Ye-Eun Park, Yura Lee, Da Seul Song
article en
1 citations

Abstract

Examining the keywords mapped to each SNOMED CT concept in different categories provided valuable insights into how terms are distributed and improved our understanding of the specific terms used in PEM. When educational materials are mapped to standard clinical terminologies and integrated into the Electronic Health Record (EHR), patients receive personalised and relevant health information, potentially improving engagement and health outcomes. This approach may reduce the workload of healthcare personnel, reduce miscommunication, and improve overall healthcare efficiency.

Contemporary Nurse
Ulsan College (KR), Gangneung–Wonju National University (KR), Asan Medical Center (KR), University of Ulsan (KR)
Openalex Percentile: Top 22%
Biomedical Text Mining and Ontologies
0.81
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Context-Based mapping of patient educational materials and standard clinical terminology — Yu Jin Park, Jisan Lee, et al. · Contemporary Nurse (2025) | TGRS Research Map | TGRS