title: An architecture for online comparison and validation of processing methods and computerized guidelines in intensive care units.
abstract: Clinical decision support systems are a combination of software techniques to help the clinicians in their medical decision making process via functionalities ranging from basic signal analysis to therapeutic planning and computerized guidelines. The algorithms providing all these functionalities must be very carefully validated on real patient data and must be confronted to everyday clinical practice. One of the main problems when developing these techniques is the difficulty to obtain high-quality complete patient records, comprising data coming both from the biomedical equipment (high-frequency signals), and from numerous other sources (therapeutics, imagery, clinical actions, etc.). In this paper, we present an infrastructure for developing and testing such software algorithms. It is based on a bedside workstation where testing different algorithms simultaneously on real-time data is possible in the ward. It is completed by a collaborative portal enabling different teams to test their software algorithms on the same patient records, making comparisons and cross-validations more easily.
authors.affiliation: Faculty of Pharmacy and Biology of Lille, Department of Biomathematics, University of Lille 2, 3 rue du Professeur Laguesse, BP 83, 59006 Lille Cedex, France. laurent.allart@univ-lille2.fr
authors.forename: L
authors.initials: L
authors.lastname: Allart
authors.forename: C
authors.initials: C
authors.lastname: Vilhelm
authors.forename: H
authors.initials: H
authors.lastname: Mehdaoui
authors.forename: H
authors.initials: H
authors.lastname: Hubert
authors.forename: B
authors.initials: B
authors.lastname: Sarrazin
authors.forename: D
authors.initials: D
authors.lastname: Zitouni
authors.forename: M
authors.initials: M
authors.lastname: Lemdani
authors.forename: P
authors.initials: P
authors.lastname: Ravaux
mesh_terms: D000465:Algorithms; D001699:Biometry; D020000:Decision Support Systems, Clinical / Q000706:statistics & numerical data*; D006801:Humans; D007362:Intensive Care Units / Q000592:standards / Q000706:statistics & numerical data*; D008991:Monitoring, Physiologic / Q000706:statistics & numerical data; D009862:Online Systems; D019095:Point-of-Care Systems / Q000706:statistics & numerical data; D017410:Practice Guidelines as Topic; D012984:Software