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Authors: Mary Conlon and Owen Molloy

Affiliation: College of Engineering and Informatics, National University of Ireland and Galway

Keyword(s): Business Process Modelling, Health Information Systems, Discrete Event Simulation, Workflow, Patient Complexity, Resource Utilisation, Computed Tomography, Radiology.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Business Intelligence ; Business Process Management ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Software Engineering ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: Introduction: This empirical work examines the information requirements when undertaking a process modelling project in a Healthcare setting such as a CT (Computed Tomography) department. Using qualitative and quantitative methods we map the process, incorporating patient, staff and process related components so as to quantify resource utilisation and the service experienced by the patient. Method: In this study, semi structured interviews are used to identify patient complexity factors/characteristics. Process mapping and involvement of stakeholders are discussed as is the identification and analysis of data. A discrete event simulation (DES) model of the process is designed and performance metrics identified. Results: Yearly demand for Radiology services are increasing significantly. Factors determining patient complexity and variation include patient type, infectiousness, mobility, exam type and patient care needs. A strong correlation between age and infectiousness was observed. Conclusion: DES modelling, though data intensive, provides decision makers with insights into resource utilisation, process capacity, delays and disruptions and in doing so supports operations, management and the adoption of good practices in Healthcare. (More)

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Paper citation in several formats:
Conlon, M. and Molloy, O. (2019). Knowledge Management in Healthcare: Information Requirements When Creating a Decision Support Tool in Radiology. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KMIS; ISBN 978-989-758-382-7; ISSN 2184-3228, SciTePress, pages 317-324. DOI: 10.5220/0008352703170324

@conference{kmis19,
author={Mary Conlon. and Owen Molloy.},
title={Knowledge Management in Healthcare: Information Requirements When Creating a Decision Support Tool in Radiology},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KMIS},
year={2019},
pages={317-324},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008352703170324},
isbn={978-989-758-382-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KMIS
TI - Knowledge Management in Healthcare: Information Requirements When Creating a Decision Support Tool in Radiology
SN - 978-989-758-382-7
IS - 2184-3228
AU - Conlon, M.
AU - Molloy, O.
PY - 2019
SP - 317
EP - 324
DO - 10.5220/0008352703170324
PB - SciTePress