Text Analysis of Electronic Medical Records to Predict Seclusion in Psychiatric Wards: Proof of Concept.

With the introduction of "Electronic Medical Record" (EMR) a wealth of digital data has become available. This provides a unique opportunity for exploring precedents for seclusion. This study explored the feasibility of text mining analysis in the EMR to eventually help reduce the use of seclusion in psychiatry.

Semantic wireless body area networks.

In this paper we introduce the concept of semantic Wireless Body Area Network (sWBAN). First the method for semantic interpretation of body sensor data is developed. This method is then illustrated for the case of ECG monitoring, providing the user with real-time monitoring and interpretation of heart activity.

A formal framework of knowledge to support rational psychoactive drug selection.

Rational psychoactive drug selection is a data and knowledge intensive task which requires true expertise from clinical, pathophysiological and pharmacotherapeutic knowledge. This paper presents a framework of knowledge, which relates concepts from several disciplines required for psychoactive drug selection in a formal way. A framework, when based on formal semantics, avoids ambiguity and gives conceptual clarity and supports precise use of terminology which is required when many domain experts (clinicians, pharmacologists and basic science researchers) are involved.

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

Complex 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.