IEEE Spectrum
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Business Rules Applied: Building Better Systems Using the Business Rules Approach
Business Rules Applied: Building Better Systems Using the Business Rules Approach
Workflow Modeling: Tools for Process Improvement and Application Development
Workflow Modeling: Tools for Process Improvement and Application Development
Extracting Business Rules from Information Systems
BT Technology Journal
How to Design a General Rule Markup Language?
XML Technologien für das Semantic Web - XSW 2002, Proceedings zum Workshop
Beyond data warehousing: what's next in business intelligence?
Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
Design and Implementation of a Service-Oriented Business Rules Broker
CECW '05 Proceedings of the Seventh IEEE International Conference on E-Commerce Technology Workshops
Model-Driven Business Performance Management
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
An Intelligent Event Adaptation Mechanism for Business Performance Monitoring
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
Temporal abstraction in intelligent clinical data analysis: A survey
Artificial Intelligence in Medicine
Authoring Tool for Business Performance Monitoring and Control
SOCA '07 Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications
Real-Time Service-Oriented Architectures to Support Remote Critical Care: Trends and Challenges
COMPSAC '08 Proceedings of the 2008 32nd Annual IEEE International Computer Software and Applications Conference
Hi-index | 0.00 |
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.