000002191 001__ 2191
000002191 005__ 20190611210131.0
000002191 037__ $$aCONFERENCE
000002191 245__ $$bfrom individualization of treatments to research databases and back$$aTUCUXI – an intelligent system for personalized medicine :
000002191 260__ $$c2017$$b20-23 August 2017$$aBoston, USA
000002191 269__ $$a2017-08
000002191 300__ $$app. 223-232
000002191 506__ $$avisible
000002191 520__ $$aTherapeutic Drug Monitoring (TDM) is a key concept in precision medicine. The goal of TDM is to avoid therapeutic failure or toxic effects of a drug due to insufficient or excessive circulating concen-tration exposure related to between-patient variability in the drug’s disposition. We present TUCUXI – an intelligent system for TDM. By making use of embedded mathematical models, the software allows to compute maximum likelihood individual predictions of drug concentrations from population pharmacokinetic data, based on patient’s parameters and previously observed concentrations. TUCUXI was developed to be used in medical practice, to assist clinicians in taking dosage adjustment decisions for optimizing drug concentration levels. This software is currently being tested in a University Hospital. In this paper we focus on the process of software integration in clinical workflow. The modular architec-ture of the software allows us to plug in a module enabling data aggregation for research purposes. This is an important feature in order to develop new mathematical models for drugs, and thus to improve TDM. Finally we discuss ethical issues related to the use of an automated decision support system in clinical practice, in particular if it allows data aggregation for research purposes.$$9eng
000002191 592__ $$aHEG-VS
000002191 592__ $$bInstitut Informatique de gestion
000002191 592__ $$cEconomie et Services
000002191 65017 $$aEconomie/gestion
000002191 6531_ $$aautomated TDM$$9eng
000002191 6531_ $$apersonalized medicine$$9eng
000002191 6531_ $$aclinical information system$$9eng
000002191 6531_ $$adata integration$$9eng
000002191 655_7 $$afull paper
000002191 700__ $$uUniversity of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)$$aDubovistkaya, Alevtina
000002191 700__ $$uUniversity Hospital, Lausanne, Switzerland$$aBuclin, Thierry
000002191 700__ $$uUniversity of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)$$aSchumacher, Michael
000002191 700__ $$uSwiss Federal Institute of Technology,$$aAberer, Karl
000002191 700__ $$uLausanne, Switzerland$$aLausanne, Switzerland
000002191 700__ $$uSchool of Eng. and Management,$$aThoma, Yann
000002191 700__ $$aYverdon-les-Bains, Switzerland$$uYverdon-les-Bains, Switzerland
000002191 711__ $$aThe 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics$$cBoston, USA$$d20/08/2017 / 23/08/2017
000002191 773__ $$tProceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
000002191 85641 $$zOnline version$$uhttps://dl.acm.org/authorize.cfm?key=N34830
000002191 8564_ $$uhttps://hesso.tind.io/record/2191/files/Dubovistkaya_2017_TUCUXI_intelligent_system.pdf$$s7629893
000002191 8564_ $$xpdfa$$uhttps://hesso.tind.io/record/2191/files/Dubovistkaya_2017_TUCUXI_intelligent_system.pdf?subformat=pdfa$$s4885845
000002191 906__ $$aGREEN
000002191 950__ $$aI1
000002191 980__ $$aconference