hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Value Added Conversational AI and Digital Health: An Ontology-Driven Approach
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology. Kristiania University College, Oslo, Norway.
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-6453-3653
2024 (English)In: Proceedings of the 57th Hawaii International Conference on System Sciences: Hilton Hawaiian Village Waikiki Beach Resort: January 3-6, 2024 / [ed] Tung X. Bui, Honolulu: University of Hawai'i at Manoa , 2024, p. 4010-4019Conference paper, Published paper (Refereed)
Abstract [en]

AI-based assistants, such as conversational agents (CAs) and social robots, are becoming increasingly important in healthcare organizations. CAs provide a scalable and cost-effective platform for organizations supporting their employees by retrieving, structuring, and analyzing information to assist work processes. This study targets how knowledge graphs as ontological models manage CA that help improve the patient flow processes and reduce patients’ waiting time in the emergency departments (EDs). We tailored the design thinking (DT) method with modelling workshops employing conceptual modelling (CM) techniques to address these issues. We incorporated a hybrid formal approach of Methontology and Tove methodologies to build design artifacts, develop a goal-oriented interactive conversational system between humans and machines, and support information systems (IS). As a result, this ontology-driven approach contribution helps developers build value-added CAs to facilitate healthcare practitioners and patients. It is helpful for quality care delivery experience and improves bottlenecks in information flow within Eds.

Place, publisher, year, edition, pages
Honolulu: University of Hawai'i at Manoa , 2024. p. 4010-4019
Series
Proceedings of the ... Annual Hawaii International Conference on System Sciences, E-ISSN 2572-6862
Keywords [en]
Conversational Agent, IS, Ontologies, KG
National Category
Information Systems
Research subject
Health Innovation
Identifiers
URN: urn:nbn:se:hh:diva-53190ISBN: 978-0-9981331-7-1 (print)OAI: oai:DiVA.org:hh-53190DiVA, id: diva2:1851348
Conference
57th Hawaii International Conference on System Sciences (HICSS 2024), Waikiki Beach, Hawaii, USA, Jan 3-6, 2024
Available from: 2024-04-13 Created: 2024-04-13 Last updated: 2024-06-20Bibliographically approved

Open Access in DiVA

fulltext(1504 kB)47 downloads
File information
File name FULLTEXT01.pdfFile size 1504 kBChecksum SHA-512
f5ee7f2bbada304206469d3290870a02b41027ead734c846be90cd37f5a73c2c15dae8c927877f131ce622182189fc87b32c1fb6646dfa5e3726b78ee6ee90fa
Type fulltextMimetype application/pdf

Authority records

Ali Fareedi, AbidGhazawneh, AhmadBergquist, Magnus

Search in DiVA

By author/editor
Ali Fareedi, AbidGhazawneh, AhmadBergquist, Magnus
By organisation
School of Information Technology
Information Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 47 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 1173 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf