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Probing the EHR for Standardized Nursing Data
Conference proceeding   Open access

Probing the EHR for Standardized Nursing Data

Baris Karacan, Andrew Boyd, Karen Dunn Lopez, Pamela Martyn-Nemeth, Daniel Fraczkowski, Haleh Vatani, Carolyn Dickens and Barbara Di Eugenio
2023 IEEE/ACM CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES, CHASE, pp.209-210
IEEE International Conference on Connected Health-Applications, Systems and Engineering Technologies
01/01/2023
DOI: 10.1145/3580252.3590001
url
https://doi.org/10.1145/3580252.3590001View
Published (Version of record) Open Access

Abstract

Nursing documentation is essential for the welfare of patients and for productive communication between healthcare professionals. Currently, nursing care is documented by means of standardized and specific non-standardized nursing terminologies that various healthcare companies provide. Because of significant differences between terminologies, nursing professionals devote considerable time to map distinct terminologies by manually searching terminology databases or books. We present an automated approach that finds mappings between terminologies of two widely-used nursing care plans: it is based on UMLS as an intermediate resource, and on similarity computed via language models. According to our nursing team experts, our best-performing model found accurate mappings for approximately 54 percent of terms.
Computer Science Engineering Medical Informatics Technology Computer Science, Cybernetics Computer Science, Interdisciplinary Applications Engineering, Biomedical Life Sciences & Biomedicine Science & Technology

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