@inproceedings{3e09ff66d4bc4d6bafe9f1949aa5d734,
title = "Using Formal Knowledge to Support Episodic Evidence-Based Nursing Care",
abstract = "Applying evidence-based medicine prevents medical errors highlighting the need for applying Clinical Guidelines (CGs) to improve patient care by nurses. However, nurses often face challenges in utilizing CGs due to patient-specific needs. Developing a Clinical Decision Support System (CDSS) can provide real-time context-sensitive CG-based recommendations. Therefore, there is a need to acquire and represent CGs in a machine-applicable manner. Also, there is a need to be able to provide recommendations episodically, only when requested, and not continuously, and to assess previous partial performance of evidence-based actions on a continuous scale. This study evaluated the feasibility of acquiring and representing major nursing CGs, in a machine-applicable manner for episodic use. Using data from an Israeli geriatric center, the results suggest that an episodic CDSS effectively supports the application of formalized nursing knowledge.",
keywords = "CDSS, Clinical Guidelines, Formalization, Nursing Protocols",
author = "Shai Jaffe and {Ben Shahar}, Bruria and Yuval Shahar and Ayelet Goldstein and Erez Shalom and Maya Selivanova and Ephraim Rimon and Odeya Cohen",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors.; 34th Medical Informatics Europe Conference, MIE 2024 ; Conference date: 25-08-2024 Through 29-08-2024",
year = "2024",
month = aug,
day = "22",
doi = "https://doi.org/10.3233/SHTI240591",
language = "American English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "1053--1057",
editor = "John Mantas and Arie Hasman and George Demiris and Kaija Saranto and Michael Marschollek and Arvanitis, {Theodoros N.} and Ivana Ognjanovic and Arriel Benis and Parisis Gallos and Emmanouil Zoulias and Elisavet Andrikopoulou",
booktitle = "Digital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024",
address = "Netherlands",
}