TUCUXI – an intelligent system for personalized medicine : from individualization of treatments to research databases and back

Dubovistkaya, Alevtina (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Buclin, Thierry (University Hospital, Lausanne, Switzerland) ; Schumacher, Michael (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Aberer, Karl (Swiss Federal Institute of Technology,) ; Lausanne, Switzerland (Lausanne, Switzerland) ; Thoma, Yann (School of Eng. and Management,) ; Yverdon-les-Bains, Switzerland (Yverdon-les-Bains, Switzerland)

Therapeutic 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.

Conference Type:
full paper
Economie et Services
Institut Informatique de gestion
Boston, USA, 20-23 August 2017
Boston, USA
20-23 August 2017
pp. 223-232
Published in:
Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
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 Record created 2017-11-02, last modified 2020-10-27

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