Multi-agent system for recruiting patients for clinical trials

Samhar Mahmoud; Gareth Tyson; Simon Miles; Adel Taweel; Tjeerd Vanstaa; Michael Luck; Brendan Delaney

Multi-agent system for recruiting patients for clinical trials

Samhar Mahmoud, Gareth Tyson, Simon Miles, Adel Taweel, Tjeerd Vanstaa, Michael Luck, Brendan Delaney

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

9 Citations (Scopus)

Abstract

Clinical trials are widely adopted for the purpose of evaluating medical research. In particular, they are used to study various aspects of medical science, as well as being a vital stage in the deployment of new drug treatments. However, a review of the UK Medical Research Council found that only 31 % of trials actually recruited to their planned target, with 30-40% of costs arising during the recruitment phase alone. This is mainly due to the challenges that are involved in designing the clinical trial, and recruiting the required number of patients for this trial within a certain time-frame. Both tasks create significant overhead as they are slow and costly. In response, we propose a multi-agent architecture that helps ease the process of recruiting patients for clinical trials. This paper presents a results from a deployment of the architecture, showing that it succeeds in recruiting a sufficient number of patients for multiple clinical trials. The results also show that recruitment is better for some trials than for others, due to the differing trial requirements and recruitment processes.

Original language	English
Title of host publication	AAMAS '14
Subtitle of host publication	Proceedings of the 2014 International Conference on Autonomous Agents and Multiagent Systems
Publisher	International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages	981-988
Number of pages	8
Volume	2
ISBN (Print)	9781634391313
Publication status	Published - 1 Jan 2014
Event	13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, United Kingdom Duration: 5 May 2014 → 9 May 2014

Conference

Conference	13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Country/Territory	United Kingdom
City	Paris
Period	5/05/2014 → 9/05/2014

Keywords

Evaluation
Healthcare application
Multi-agent

Cite this

@inbook{a75a03bd67534c3687eec8cc2a162509,

title = "Multi-agent system for recruiting patients for clinical trials",

abstract = "Clinical trials are widely adopted for the purpose of evaluating medical research. In particular, they are used to study various aspects of medical science, as well as being a vital stage in the deployment of new drug treatments. However, a review of the UK Medical Research Council found that only 31 % of trials actually recruited to their planned target, with 30-40% of costs arising during the recruitment phase alone. This is mainly due to the challenges that are involved in designing the clinical trial, and recruiting the required number of patients for this trial within a certain time-frame. Both tasks create significant overhead as they are slow and costly. In response, we propose a multi-agent architecture that helps ease the process of recruiting patients for clinical trials. This paper presents a results from a deployment of the architecture, showing that it succeeds in recruiting a sufficient number of patients for multiple clinical trials. The results also show that recruitment is better for some trials than for others, due to the differing trial requirements and recruitment processes.",

keywords = "Evaluation, Healthcare application, Multi-agent",

author = "Samhar Mahmoud and Gareth Tyson and Simon Miles and Adel Taweel and Tjeerd Vanstaa and Michael Luck and Brendan Delaney",

year = "2014",

month = jan,

day = "1",

language = "English",

isbn = "9781634391313",

volume = "2",

pages = "981--988",

booktitle = "AAMAS '14",

publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",

note = "13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 ; Conference date: 05-05-2014 Through 09-05-2014",

}

Mahmoud, S, Tyson, G, Miles, S , Taweel, A, Vanstaa, T, Luck, M & Delaney, B 2014, Multi-agent system for recruiting patients for clinical trials. in AAMAS '14: Proceedings of the 2014 International Conference on Autonomous Agents and Multiagent Systems. vol. 2, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 981-988, 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014, Paris, United Kingdom, 5/05/2014.

Multi-agent system for recruiting patients for clinical trials. / Mahmoud, Samhar; Tyson, Gareth; Miles, Simon et al.
AAMAS '14: Proceedings of the 2014 International Conference on Autonomous Agents and Multiagent Systems. Vol. 2 International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2014. p. 981-988.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

TY - CHAP

T1 - Multi-agent system for recruiting patients for clinical trials

AU - Mahmoud, Samhar

AU - Tyson, Gareth

AU - Miles, Simon

AU - Taweel, Adel

AU - Vanstaa, Tjeerd

AU - Luck, Michael

AU - Delaney, Brendan

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Clinical trials are widely adopted for the purpose of evaluating medical research. In particular, they are used to study various aspects of medical science, as well as being a vital stage in the deployment of new drug treatments. However, a review of the UK Medical Research Council found that only 31 % of trials actually recruited to their planned target, with 30-40% of costs arising during the recruitment phase alone. This is mainly due to the challenges that are involved in designing the clinical trial, and recruiting the required number of patients for this trial within a certain time-frame. Both tasks create significant overhead as they are slow and costly. In response, we propose a multi-agent architecture that helps ease the process of recruiting patients for clinical trials. This paper presents a results from a deployment of the architecture, showing that it succeeds in recruiting a sufficient number of patients for multiple clinical trials. The results also show that recruitment is better for some trials than for others, due to the differing trial requirements and recruitment processes.

AB - Clinical trials are widely adopted for the purpose of evaluating medical research. In particular, they are used to study various aspects of medical science, as well as being a vital stage in the deployment of new drug treatments. However, a review of the UK Medical Research Council found that only 31 % of trials actually recruited to their planned target, with 30-40% of costs arising during the recruitment phase alone. This is mainly due to the challenges that are involved in designing the clinical trial, and recruiting the required number of patients for this trial within a certain time-frame. Both tasks create significant overhead as they are slow and costly. In response, we propose a multi-agent architecture that helps ease the process of recruiting patients for clinical trials. This paper presents a results from a deployment of the architecture, showing that it succeeds in recruiting a sufficient number of patients for multiple clinical trials. The results also show that recruitment is better for some trials than for others, due to the differing trial requirements and recruitment processes.

KW - Evaluation

KW - Healthcare application

KW - Multi-agent

UR - http://www.scopus.com/inward/record.url?scp=84910106770&partnerID=8YFLogxK

M3 - Conference paper

AN - SCOPUS:84910106770

SN - 9781634391313

VL - 2

SP - 981

EP - 988

BT - AAMAS '14

PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

T2 - 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014

Y2 - 5 May 2014 through 9 May 2014

ER -

Multi-agent system for recruiting patients for clinical trials

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this