Search results for "Decision Support Systems"
showing 10 items of 34 documents
Overvåking av vitale parametere i sykehus : En sammenligning av manuelle og elektroniske overvåkingssystemer
2018
Masteroppgave i helse- og sosialinformatikk HSI500 - Universitetet i Agder 2018 Adverse events can be avoided by timely recognition of derangements in vital signs. Sørlandet Hospital HF (SSHF) has implemented an Early Warning Score System named "TILT"; 2Early identification of life-threatening conditions”. In 2017 SSHF started a project that tested wireless sensors for continuous monitoring of vital signs on wards. Patients were monitored by sensors and vital signs were also measured by traditional means during the project period. The aim of this study was to examine compliance with the vital signs monitoring protocol, and to examine the benefits of an electronic system. The following quest…
Advancing beyond the system: telemedicine nurses' clinical reasoning using a computerised decision support system for patients with COPD - an ethnogr…
2017
Abstract Background Telemedicine is changing traditional nursing care, and entails nurses performing advanced and complex care within a new clinical environment, and monitoring patients at a distance. Telemedicine practice requires complex disease management, advocating that the nurses’ reasoning and decision-making processes are supported. Computerised decision support systems are being used increasingly to assist reasoning and decision-making in different situations. However, little research has focused on the clinical reasoning of nurses using a computerised decision support system in a telemedicine setting. Therefore, the objective of the study is to explore the process of telemedicine …
The Shift toward a Sustainable Urban Mobility through Decision Support Systems
2017
This chapter examines Decision support systems (DSS) are instrumental in the sustainable development of urban mobility, as they are useful to each decision maker to better predict, evaluate, and measure the impact of alternative solutions and to take informed and evidence-based decisions. It presents a number of DSSs explaining how sustainable mobility targets could be reached through these systems. The chapter highlights the transition toward a more sustainable mobility model not only comprises innovation at vehicle or infrastructure level, but also requires interdisciplinary and cross-sectorial expertise together with effective decision making support. When a DSS for sustainable urban mob…
[Radiomics and artificial intelligence: new frontiers in medicine.]
2020
Radiomics is a new frontier of medicine based on the extraction of quantitative data from radiological images which can not be seen by radiologist's naked eye and on the use of these data for the creation of clinical decision support systems. The long-term goal of radiomics is to improve the non-invasive diagnosis of focal and diffuse diseases of different organs by understanding links between extracted quantitative imaging data and the underlying molecular and pathological characteristics of lesions. In the last decade, several studies have highlighted the enormous potential of radiomics in both tumoral and non-tumoral diseases of many organs and systems including brain, lung, breast, gast…
Psychiatrists' Attitudes Toward Disruptive New Technologies: Mixed-Methods Study
2018
Background Recent discoveries in the fields of machine learning (ML), Ecological Momentary Assessment (EMA), computerized adaptive testing (CAT), digital phenotype, imaging, and biomarkers have brought about a new paradigm shift in medicine. Objective The aim of this study was to explore psychiatrists’ perspectives on this paradigm through the prism of new clinical decision support systems (CDSSs). Our primary objective was to assess the acceptability of these new technologies. Our secondary objective was to characterize the factors affecting their acceptability. Methods A sample of psychiatrists was recruited through a mailing list. Respondents completed a Web-based survey. A quantitative…
A Decision Support System for Reverse Engineering Gene Regulatory Networks
2009
In this paper we present a knowledge-based system that aims at helping scientists in the reverse engineering process of gene regulatory networks. The main motivation of the proposed approach is to support scientists in the choice of the wide variety of algorithms and methods currently applied in the literature to infer Gene Regulatory Networks starting from gene expression measured using microarray technology. The Decision Support System (DSS) architecture is based on an ontology to model the knowledge base, a logical reasoner that builds the workflow of tasks to be done starting from the user’s request and a set of rules, and, finally, an agenda that runs the algorithms and software schedu…
Effects of a computerized decision support system on care planning for pressure ulcers and malnutrition in nursing homes: an intervention study.
2013
Author's accepted version (post-print). Background: Nursing documentation is essential for facilitating the flow of information to guarantee continuity, quality and safety in care. High-quality nursing documentation is frequently lacking; the implementation of computerized decision support systems is expected to improve clinical practice and nursing documentation. Aim: The present study aimed at investigate the effects of a computerized decision support system and an educational program as intervention strategies for improved nursing documentation practice on pressure ulcers and malnutrition in nursing homes. Design, setting and participants: An intervention study with two intervention grou…
Identification of intermediate-risk patients with acute symptomatic pulmonary embolism
2014
The identification of normotensive patients with acute pulmonary embolism (PE) at high risk of adverse PE-related clinical events (i.e. intermediate-risk group) is a major challenge. We combined individual patient data from six studies involving 2874 normotensive patients with PE. We developed a prognostic model for intermediate-risk PE based on the clinical presentation and the assessment of right ventricular dysfunction and myocardial injury. We used a composite of PE-related death, haemodynamic collapse or recurrent PE within 30 days of follow-up as the main outcome measure. The primary outcome occurred in 198 (6.9%) patients. Predictors of complications included systolic blood pressure …
Modelling Inoculum Availability ofPlurivorosphaerella nawaein Persimmon Leaf Litter with Bayesian Beta Regression
2019
AbstractCircular leaf spot (CLS), caused byPlurivorosphaerella nawae, is a serious disease of persimmon (Diospyros kaki) inducing necrotic lesions on leaves, defoliation and fruit drop. Under Mediter-ranean conditions,P. nawaeforms pseudothecia in the leaf litter during winter and ascospores are released in spring infecting susceptible leaves. Persimmon growers are advised to apply fungicides for CLS control during the period of inoculum availability, which was defined based on ascospore counts under the microscope. A model of inoculum availability ofP. nawaewas developed and evaluated as an alternative to ascospore counts. Leaf litter samples were collected weekly in L’Alcúdia from 2010 to…
Assessing Coastal Sustainability: A Bayesian Approach for Modeling and Estimating a Global Index for Measuring Risk
2013
Integrated Coastal Zone Management is an emerg- ing research area. The aim is to provide a global view of dif- ferent and heterogeneous aspects interacting in a geographical area. Decision Support Systems, integrating Computational Intelligence methods, can be successfully used to estimate use- ful anthropic and environmental indexes. Bayesian Networks have been widely used in the environmental science domain. In this paper a Bayesian model for estimating the Sustainable Coastal Index is presented. The designed Bayesian Network consists of 17 nodes, hierarchically organized in 4 layers. The first layer is initialized with the season and the physiographic region information. In the second la…