@article{fareedi_digital_2025,

title = {Digital Health Transformation: Leveraging a Knowledge Graph Reasoning Framework and Conversational Agents for Enhanced Knowledge Management},

author = {A. A. Fareedi and M. Ismail and S. Gagnon and A. Ghazanweh and Z. Arooj},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218906224&doi=10.3390%2fsystems13020072&partnerID=40&md5=53b218763023a1bec3d69899d4dd7a86},

doi = {10.3390/systems13020072},

issn = {20798954 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Systems},

volume = {13},

number = {2},

abstract = {The research focuses on the limitations of traditional systems in optimizing information flow in the healthcare domain. It focuses on integrating knowledge graphs (KGs) and utilizing AI-powered applications, specifically conversational agents (CAs), particularly during peak operational hours in emergency departments (EDs). Leveraging the Cross Industry Standard Process for Data Mining (CRISP-DM) framework, the authors tailored a customized methodology, CRISP-knowledge graph (CRISP-KG), designed to harness KGs for constructing an intelligent knowledge base (KB) for CAs. This KG augmentation empowers CAs with advanced reasoning, knowledge management, and context awareness abilities. We utilized a hybrid method integrating a participatory design collaborative methodology (CM) and Methontology to construct a domain-centric robust formal ontological model depicting and mapping information flow during peak hours in EDs. The ultimate objective is to empower CAs with intelligent KBs, enabling seamless interaction with end users and enhancing the quality of care within EDs. The authors leveraged semantic web rule language (SWRL) to enhance inferencing capabilities within the KG framework further, facilitating efficient information management for assisting healthcare practitioners and patients. This innovative assistive solution helps efficiently manage information flow and information provision during peak hours. It also leads to better care outcomes and streamlined workflows within EDs. © 2025 by the authors.},

note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},

keywords = {conversational agent, CRISP-KG, Knowledge graphs, ontologies, SWRL},

pubstate = {published},

tppubtype = {article}

}