Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/4238
DC FieldValueLanguage
dc.contributor.authorTaweel, Adel-
dc.date.accessioned2017-02-14T06:47:48Z-
dc.date.available2017-02-14T06:47:48Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/20.500.11889/4238-
dc.descriptionSeyi Feyisetan, Gareth Tyson, Maria Vargas-Vera, Tjeerd Van Staa, Brendan Delaneyen_US
dc.description.abstractClinical trials are a key method of evaluating the efficacy of healthcare interventions prior to public release. To allow clinical trials to take place, however, it is necessary to recruit sufficient patients for participation. Unfortunately, such recruitment poses a significant challenge though. In this paper, we discuss a novel agent-based system designed to enable patient recruitment; our system, ePCRN-IDEA, has been implemented and is currently under deployment in the UK healthcare system. Through this deployment, however, we have found a number of challenges relating to scalability; consequently, this paper focuses on an extension called ePCRN-IDEA2 that addresses these problems. Specifically, we place agents on General Practitioners’ (GP) machines to dynamically compute patient eligibility in real-time during consultations, thereby enabling GUI notifications and immediate recruitment. In ePCRN-IDEA, all agents attempted to compute patient eligibility over all trials, resulting in a huge burden for a large-scale deployment (e.g. 100,000 trials). Therefore, in eCPRN-IDEA2, we have embedded the necessary intelligence in agents to dynamically compute eligibility over the trials that are most likely to match the clinic’s and patient’s characteristics. Through simulations, we evaluate the approach to show that our decentralised trial selection algorithm can achieve comparable performance to a global knowledge benchmark with far greater scalabilityen_US
dc.language.isoen_USen_US
dc.subjectClinical trialsen_US
dc.subjectClinical medicine - Researchen_US
dc.titleePCRN-IDEA2: an agent-based system for large-scale clinical trial recruitmenten_US
dc.typeArticleen_US
newfileds.departmentEngineering and TechnologyEngineering and Technologyen_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-prognoneen_US
newfileds.general-subjectnoneen_US
item.grantfulltextopen-
item.languageiso639-1other-
item.fulltextWith Fulltext-
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