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Artificial Intelligence Agents and Knowledge Acquisition in Health Information System
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-6453-3653
2022 (English)In: MCIS 2022 Proceedings, 2022, article id 8Conference paper, Published paper (Refereed)
Abstract [en]

This research work highlights the need for AI-powered applications and their usages for the optimization of information flow processes in the medical sector, from the perspective of how AI-agents can impact human-machine interaction (HCI) for acquiring relevant and necessary information in emergency department (ED). This study investigates how AI-agents can be applied to manage situations of patient related unexpected experiences, such as long waiting times, overcrowding issues, and high number of patients leaving without being diagnosed. For knowledge acquisition, we incorporated modelling workshop techniques for gathering domain information from the domain experts in the context of emergency department in Karolinska Hospital, Solna, Stockholm, Sweden, and for designing the AI-agent utilizing NLP techniques. We discuss how the proposed solution can be used as an assistant to healthcare practitioners and workers to improve medical assistance in various medical procedures to increase flow and to reduce workloads and anxiety levels. The implementation part of this work is based on the natural language processing (NLP) techniques that help to develop the intelligent behavior for information acquisition and its retrieval in a natural way to support patients/relatives’ communication with the healthcare organization efficiently and in a natural way.

Place, publisher, year, edition, pages
2022. article id 8
Keywords [en]
AI agents, Health Information Systems, human-machine interaction, NLP
National Category
Information Systems
Research subject
Health Innovation
Identifiers
URN: urn:nbn:se:hh:diva-50151OAI: oai:DiVA.org:hh-50151DiVA, id: diva2:1745198
Conference
The 14th Mediterranean Conference on Information Systems (MCIS), Catanzaro, Italy, October 14-15, 2022
Available from: 2023-03-22 Created: 2023-03-22 Last updated: 2023-04-19Bibliographically approved

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Ali Fareedi, AbidGhazawneh, AhmadBergquist, Magnus

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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Output format
  • html
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