Agent-based modelling for risk assessment of routine clinical processes

Wayne Wobcke, Adam Dunn

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)


Prospective risk analysis is difficult in complex sociotechnical systems where humans interact with one other and with information systems. Traditional prospective risk analysis methods typically capture one risk at a time and rely on the specification of a chronological sequence of errors occurring in combination. The aim here is to introduce agent-based risk assessment (ABRA), which addresses these issues by simulating multiple concurrent and sequential interactions amongst autonomous agents that act according to their own goals. The methodology underlying the construction, simulation and validation of ABRA models is detailed along with practical considerations associated with implementation, for which the Brahms agent-based simulation framework is used. The challenges of implementing agent-based risk assessment models include the need for well-defined work processes and reliable observational data, and difficulties associated with behavioural validation. As an example illustrating the technique, a simple race condition hazard is implemented using an ABRA model. The work process involves a human operator and a machine interface that interact to sometimes produce the erroneous transfer of information. The correctness of the model is confirmed by comparing the simulated results against the well-defined theoretical baseline.

Original languageEnglish
Title of host publicationPrinciples and Practice of Multi-Agent Systems - 13th International Conference, PRIMA 2010, Revised Selected Papers
EditorsNirmit Desai, Alan Liu, Michael Winikoff
Place of PublicationKolkata, India
PublisherSpringer, Springer Nature
Number of pages12
Volume7057 LNAI
ISBN (Electronic)9783642259203
ISBN (Print)9783642259197
Publication statusPublished - 2012
Externally publishedYes
Event13th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2010 - Kolkata, India
Duration: 12 Nov 201015 Nov 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7057 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349


Other13th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2010


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