Towards a more rational use of psychoactive substances in clinical practice.

Abstract

Item does not contain fulltextComplex knowledge and data intensive nature of the psychoactive drug selection and prescription process often makes for irrational and inconsistent use of psychoactive drugs in clinical practice. After describing the state of the art with respect to psychoactive drug prescription practices and selection processes, our aim is to analyze the advantages of computer support systems in assisting the clinician in his clinical decisions. Finally, we will review the neuropsychiatric expert systems developed for the neuropsychiatric domain. Suboptimal psychoactive drug therapy is common practice, which leads to hospital admissions, extended length of hospital stay, ineffective therapy and increased costs. Furthermore, the psychoactive drug selection process is a complex decision process, using up-to-date integrative knowledge of drugs from basic sciences to the clinical level. Due to the information load, the lack of appropriate up-to-date information at the point of clinical care and the problem of integrating and weighing all information relatively equally, it is questionable whether any clinician can manage such a complex situation with optimal effectiveness. As has been shown in a number of experiments, clinicians can benefit from computer-based systems that provide access to accurate, up-to-date information. We maintain that more rational use of psychoactive drugs in clinical practice is needed, and conclude that rational psychoactive drug prescription is a knowledge and data-intensive task requiring true expertise derived from clinical, pathophysiological and pharmacotherapeutic knowledge. We will be developing a Multidisciplinary Psychoactive Drug Selection advisor system, M-PADS, to support the integration of various types of biomedical information and deliver that integrated information supportive to evidence-based rational drug prescription in the practice of medicine for the drug treatment of individual patients