TUCUXI – An Intelligent System for Personalized Medicine: from Individualization of Treatments to Research Databases and Back
| Type of publication: | Proceedings |
| Citation: | |
| Journal: | Proceedings of the 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics |
| Year: | 2017 |
| Publisher: | ACM Digital Library |
| DOI: | 10.1145/3107411.3107439 |
| Abstract: | 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 insu cient or excessive circulating concentration 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 optimising 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 work ow. The modular architecture 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. |
| Keywords: | Automated TDM, clinical information system, Data Integration, personalized medicine |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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