Next Article in Journal
An Assessment of Mobile OS-Centric Ecosystems
Previous Article in Journal
Fairness and Access Control for Mobile P2P Auctions over MANETs
 
 
Journal of Theoretical and Applied Electronic Commerce Research is published by MDPI from Volume 16 Issue 3 (2021). Previous articles were published by another publisher in Open Access under a CC-BY 3.0 licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Faculty of Engineering of the Universidad de Talca.
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A process model to support automated measurement and detection of out-of-bounds events in a hospital laboratory process

Department of Information Technology, National University of Ireland Galway Ireland
J. Theor. Appl. Electron. Commer. Res. 2009, 4(2), 31-54; https://doi.org/10.4067/S0718-18762009000200004
Submission received: 15 January 2009 / Accepted: 15 June 2009 / Published: 1 August 2009

Abstract

Business Activity Monitoring (BAM) allows organizations to capture enterprise events from their source systems and utilize these to detect non-compliant business situations. Similar concepts may be leveraged in the healthcare domain to improve the quality of patient care and the efficiency of clinical processes. This paper introduces a generic set of constructs for formally specifying threshold values relevant for cycle time and utilization calculations. It also describes a mechanism to capture information, including thresholds, about important business parameters for Six Sigma measurement. This full set of constructs are the basis for automated measurement and monitoring and are incorporated into the process model during the definition or capture phase thereby linking the definition and monitoring phases through a common underlying process model. Bespoke software is also described which uses the constructs contributed by this research to manage and monitor process models and enterprise events. A process performance module provides automated measurement and monitoring capabilities. At an aggregate level, this is achieved through the provision of process cycle time data for selected time periods on demand and the examination of business processes at frequent intervals with alerts generated for exceptional scenarios. At a more granular level, this solution uses a rules-based approach to evaluate individual events and generate alerts for out-of-bounds business parameters. This paper demonstrates the benefits of these capabilities for health informatics through application to a Laboratory Testing process observed at a local hospital. The paper also suggests recommendations for the extension of current modelling languages with respect to the constructs detailed herein.
Keywords: Business activity monitoring; Process performance measurement; Process modelling and definition languages; Event modelling; Six Sigma Business activity monitoring; Process performance measurement; Process modelling and definition languages; Event modelling; Six Sigma

Share and Cite

MDPI and ACS Style

Costello, C.; Molloy, O. A process model to support automated measurement and detection of out-of-bounds events in a hospital laboratory process. J. Theor. Appl. Electron. Commer. Res. 2009, 4, 31-54. https://doi.org/10.4067/S0718-18762009000200004

AMA Style

Costello C, Molloy O. A process model to support automated measurement and detection of out-of-bounds events in a hospital laboratory process. Journal of Theoretical and Applied Electronic Commerce Research. 2009; 4(2):31-54. https://doi.org/10.4067/S0718-18762009000200004

Chicago/Turabian Style

Costello, Claire, and Owen Molloy. 2009. "A process model to support automated measurement and detection of out-of-bounds events in a hospital laboratory process" Journal of Theoretical and Applied Electronic Commerce Research 4, no. 2: 31-54. https://doi.org/10.4067/S0718-18762009000200004

Article Metrics

Back to TopTop