Skip to content

Research at St Andrews

Stochastic workflow modeling in a surgical ward: towards simulating and predicting patient flow

Research output: Chapter in Book/Report/Conference proceedingChapter

Author(s)

Christoffer Olling Back, Areti Manataki, Angelos Papanastasiou, Ewen Harrison

School/Research organisations

Abstract

Intelligent systems play an increasingly central role in healthcare systems worldwide. Nonetheless, operational friction represents an obstacle to full utilization of scarce resources and improvement of service standards. In this paper we address the challenge of developing data-driven models of complex workflow systems - a prerequisite for harnessing intelligent technologies for workflow improvement. We present a proof-of-concept model parametrized using real-world data and constructed based on domain knowledge from the Royal Infirmary of Edinburgh, demonstrating how off-the-shelf process mining, machine learning and stochastic process modeling tools can be combined to build predictive models that capture complex control flow, constraints, policies and guidelines.
Close

Details

Original languageEnglish
Title of host publicationBiomedical Engineering Systems and Technologies
Subtitle of host publication13th International Joint Conference, BIOSTEC 2020, Valletta, Malta, February 24–26, 2020, Revised Selected Papers
EditorsXuesong Ye, Filipe Soares, Elisabetta De Maria, Pedro Gómez Vilda, Federico Cabitza, Ana Fred, Hugo Gamboa
Place of PublicationCham
PublisherSpringer
Pages565-591
ISBN (Electronic)9783030723798
ISBN (Print)9783030723781
DOIs
Publication statusPublished - 2021

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume1400

    Research areas

  • Surgery, Surgical workflow, Bayesian network, Petri Nets, Simulation, Data mining, Patient flow, Process mining

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Mining patient flow patterns in a surgical ward

    Olling Back, C., Manataki, A. & Harrison, E., 18 Mar 2020, Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies. SciTePress, Vol. 5. p. 273-283 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

ID: 272601916

Top