Publications
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Barriers and facilitators in using a Clinical Decision Support System for fall risk management for older people : a European survey Ghent University
Design approaches for executable clinical pathways at the point of care in limited resource settings to support the clinical decision process: review of the state of the art Vrije Universiteit Brussel
Decision support clinical pathways are used to improve the performance of the health-care management system. An effective clinical pathway(CP) helps to know the optimal treatment route that patients will follow. The extent of the CP goes from the first contact in the health-center(or hospital) to the completion of the treatment until the patient is dismissed. Up to now, far too little attention has been paid to a systematic review, the research ...
Clinical decision support improves the appropriateness of laboratory test ordering in primary care without increasing diagnostic error : the ELMO cluster randomized trial Ghent University KU Leuven University of Antwerp
Explaining call recommendations in nursing homes: a user-centered design approach for interacting with knowledge-based health decision support systems KU Leuven
Recommender systems are increasingly used in high-risk application domains, including healthcare. It has been shown that explanations are crucial in this context to support decision-making. This paper explores how to explain call recommendations to nursing home staff, providing insights into call priority, notifications, and resident information. We present the design and implementation of a recommender engine and a mobile application designed ...
Mining balance disorders' data for the development of diagnostic decision support systems University of Antwerp Ghent University
In this work we present the methodology for the development of the EMBalance diagnostic Decision Support System (DSS) for balance disorders. Medical data from patients with balance disorders have been analysed using data mining techniques for the development of the diagnostic DSS. The proposed methodology uses various data, ranging from demographic characteristics to clinical examination, auditory and vestibular tests, in order to provide an ...
Developing clinical decision support instruments for the point-of-care in low resource settings Vrije Universiteit Brussel
Clinical decision support systems (CDSSs) have been shown to assist clinical decision making in health-
care while also enabling timely and appropriate integrated care services. The clinical pathway (CP), in
particular, delivers and outlines an optimal logical path and plan of care from assessment to treatment
at the primary and secondary health care level. Clinical pathways are increasingly used in routine pa-
tient ...
care while also enabling timely and appropriate integrated care services. The clinical pathway (CP), in
particular, delivers and outlines an optimal logical path and plan of care from assessment to treatment
at the primary and secondary health care level. Clinical pathways are increasingly used in routine pa-
tient ...
Evaluating a clinical decision support point of care instrument in low resource setting Interuniversity Microelectronics Centre Vrije Universiteit Brussel
BackgroundClinical pathways are one of the main tools to manage the health care's quality and concerned with the standardization of care processes. They have been used to help frontline healthcare workers by presenting summarized evidence and generating clinical workflows involving a series of tasks performed by various people within and between work environments to deliver care. Integrating clinical pathways into Clinical Decision Support ...
A mathematical model for interpretable clinical decision support with applications in gynecology KU Leuven
BACKGROUND: Over time, methods for the development of clinical decision support (CDS) systems have evolved from interpretable and easy-to-use scoring systems to very complex and non-interpretable mathematical models. In order to accomplish effective decision support, CDS systems should provide information on how the model arrives at a certain decision. To address the issue of incompatibility between performance, interpretability and ...
Radiomics Analysis for Clinical Decision Support in Nuclear Medicine KU Leuven
Radiomics - the high-throughput computation of quantitative image features extracted from medical imaging modalities- can be used to aid clinical decision support systems in order to build diagnostic, prognostic, and predictive models, which could ultimately improve personalized management based on individual characteristics. Various tools for radiomic features extraction are available, and the field gained a substantial scientific momentum for ...