A Process Reference Model for Enhanced Medication Management
Bonnie Urquhart, Waqar Haque
2020
Abstract
A comprehensive management approach to improve quality and safety of medication management within a multisite health care organization is explored. The process-oriented approach integrates Business Ontology, Business Architecture and Business Process Management to develop a reference model for medication management. The model includes one hundred and sixty-four individual processes categorized in four process areas and twenty-five process groups. The business artefacts and methodology used in the development of this reference model are also presented. These artefacts were created and validated through workshops and working group meetings. The developed methodology could be used to create a similar process architecture in other organizations and service areas.
DownloadPaper Citation
in Harvard Style
Urquhart B. and Haque W. (2020). A Process Reference Model for Enhanced Medication Management. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF; ISBN 978-989-758-398-8, SciTePress, pages 547-554. DOI: 10.5220/0008992705470554
in Bibtex Style
@conference{healthinf20,
author={Bonnie Urquhart and Waqar Haque},
title={A Process Reference Model for Enhanced Medication Management},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF},
year={2020},
pages={547-554},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008992705470554},
isbn={978-989-758-398-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF
TI - A Process Reference Model for Enhanced Medication Management
SN - 978-989-758-398-8
AU - Urquhart B.
AU - Haque W.
PY - 2020
SP - 547
EP - 554
DO - 10.5220/0008992705470554
PB - SciTePress