Paper Info
Title
Dynamic Service Detection for Automated Patient Selection for Study Recruitment Purposes
Abstract
ICT-enabled automated processes facilitating subject recruitment in clinical trials is a hot topic in the clinical research domain. However, the successful detection of candidate subjects across patient records of different healthcare providers requires dealing with a variety of issues, including but not limited to different terminologies and structures as well as missing patient data. In this work a novel system for automated patient selection for study recruitment purposes is being presented. The system is based on the dynamic service detection for eligibility criteria evaluation, while the patient data retrieved from each healthcare entity are further processed for clinical research purposes. The presented system is also compared with a different framework that we have already developed in the past that is based on query rewriting and translation for eligibility criteria evaluation purposes. The advantages and limitations of the two aforementioned approaches are being discussed as well as their potential combination for automated patient selection.
Year
DOI
Venue
2018
10.1109/ICDEW.2018.00019
2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW)
Keywords
Field
DocType
automated patient selection,service-oriented architecture,dynamic service detection,semantic web,clinical trials
Health care,Query Rewriting,Data mining,Data modeling,Information retrieval,Terminology,Computer science,Clinical trial,Graphical user interface,Service-oriented architecture
Conference
ISBN
Citations 
PageRank 
978-1-5386-6307-3
0
0.34
References 
Authors
6
4
Name
Order
Citations
PageRank
Efthymios Chondrogiannis1245.60
Vassiliki Andronikou27910.06
Efstathios Karanastasis3225.19
Theodora A. Varvarigou4259.04