Conference proceeding
Probing the EHR for Standardized Nursing Data
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
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.
Details
- Title: Subtitle
- Probing the EHR for Standardized Nursing Data
- Creators
- Baris Karacan - Univ Illinois, Chicago, IL 60607 USAAndrew Boyd - Univ Illinois, Chicago, IL 60607 USAKaren Dunn Lopez - University of IowaPamela Martyn-Nemeth - University of Illinois Urbana-ChampaignDaniel Fraczkowski - Univ Illinois, Chicago, IL 60607 USAHaleh Vatani - Univ Illinois, Chicago, IL 60607 USACarolyn Dickens - University of Illinois Urbana-ChampaignBarbara Di Eugenio - University of Illinois Urbana-Champaign
- Resource Type
- Conference proceeding
- Publication Details
- 2023 IEEE/ACM CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES, CHASE, pp.209-210
- Series
- IEEE International Conference on Connected Health-Applications, Systems and Engineering Technologies
- DOI
- 10.1145/3580252.3590001
- ISSN
- 2832-2967
- Publisher
- Assoc Computing Machinery
- Number of pages
- 2
- Grant note
- DOI: 10.13039/100000054, name: National Cancer Institute, award: R01CA225446
- Language
- English
- Date published
- 01/01/2023
- Academic Unit
- Nursing
- Record Identifier
- 9984456076302771
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