Search results for "Clinical decision"
showing 10 items of 96 documents
A Knowledge Management System using Bayesian Network
2009
In today's world, decision support and knowledge management processes are strategic and interdependent activities in many organizations. The companies' interest on a correct knowledge management is grown, more than interest on the mere knowledge itself. This paper proposes a Knowledge Management System based on Bayesian networks. The system has been tested collecting and using data coming from projects and processes typical of ICT companies, and provides a Document Management System and a Decision Support system to share documents and to plan how to best use firms' knowledge.
Predictors of early scaffold thrombosis: results from the multicenter prospective German-Austrian ABSORB RegIstRy.
2018
BACKGROUND In randomized clinical trials, the risk of thrombotic events with the absorb bioresorbable vascular scaffold (BVS) was significantly higher than with metallic drug-eluting stents. We evaluated predictors of scaffold thrombosis in the large-scale, multicenter German-Austrian ABSORB RegIstRy. METHODS AND RESULTS 3178 patients with treatment of 4252 lesions using 5020 scaffolds were included. Follow-up rate at 6 months was 97.4%. Forty-five (1.42%) patients experienced definite/probable scaffold thrombosis during follow-up. Multiple regression analysis showed implantation of absorb BVS in bifurcation lesions [odds ratio (OR): 4.43; 95% confidence interval (CI): 1.69-11.59; P=0.0024]…
eHealth Initiatives for The Promotion of Healthy Lifestyle and Allied Implementation Difficulties
2019
Research in eHealth has opened a new dimension to improve personal healthcare with the help of information and communication technologies (ICT). eHealth is an ‘umbrella term’ for the use of ICT for health. Remote care-giving technologies (mHealth, Telehealth, Telemedicine) are an extended branch of eHealth initiatives. The concept of health e- Coaching is another promising initiative of eHealth research for real-time personalized lifestyle support. The focus of eHealth initiatives is to deliver high quality, evidence-based, secure, cost- effective, timely care to support people for sustaining a healthy lifestyle. However, the practical implementation of different eHealth initiatives has oft…
HCI for biomedical decision-making: From diagnosis to therapy.
2020
Abstract Human-Computer Interaction (HCI) plays a fundamental role in the design of software oriented towards clinical decision-making tasks. Currently, physicians have to deal with an ensemble of systems and software tools in the clinical environment, such as clinical Decision Support Systems (CDSSs), Electronic Health Records (EHRs), Picture Archiving and Communication Systems (PACSs). Moreover, additional platforms aim at collaborative work particularly in telemedicine, where rehabilitation technologies and conversational agents can support the healthcare professionals.
Thyroid surgery and radioiodine ablation—the surgeon's role
2012
Total thyroidectomy and subsequent radioiodine ablation improve the outcome of patients with thyroid tumours measuring >1 cm. Best practice guidelines should serve as a basis for clinical decision making in stage I thyroid cancer; however, Haymart et al. report that soft factors, unrelated to clinical presentation, affect the rate of radioiodine ablation.
Demonstration of Semantic Web-based Medical Ontologies and Clinical Decision Support Systems
2016
Master's thesis in Information- and communication technology IKT590 - University of Agder 2016 Konfidensiell til / confidential until 01.01.2022
Ontology-based clinical decision support system applied on diabetes
2017
Master's thesis Information- and communication technology IKT590 - University of Agder 2017 Medical diagnosis is a multi-step process which is complex as it requires the consideration of many factors. Additionally, the accuracy of diagnosis varies depending on the skill and knowledge a physician has in the medical field. Using ICT solution, the physicians can be assisted so that they can make an accurate decision. Many applications have been developed to enhance physician performance and improve the patient outcome, however, the quality of these applications varies depending on knowledge representation methodology and reasoning approach adopted. Nowadays, ontology is being used in many clin…
An ontology-based decision support system for interventions based on monitoring medical conditions on patients in hospital wards
2014
Masteroppgave i Informasjons- og kommunikasjonsteknologi IKT590 Universitetet i Agder 2014 In this project we present our research and implementation of an ontology-based clinical decision support system, which is supported by Sørlandet Sykehus Kristiansand. We discuss the generic technology of designing decision support systems as well as the practical implementation in our project. Firstly, we design the system structure using UML in Eclipse, based on which, the system is built in Protégé using ontology techniques. And then patients’ information and clinical rules are added in the system as the form of individuals. Finally, SPARQL query is used to query for the decisions based on the calc…
Third molar surgical difficulty scales: systematic review and preoperative assessment form
2021
Background The main objective of this systematic review was to collect the pre-existing scales for assessing the difficulty of third molar extraction. The secondary objective was to design a proposal for a preoperative evaluation protocol for the difficulty of third molar extraction. Material and Methods Two independent researchers conducted an electronic search in Pubmed (MEDLINE), Cochrane, and Scopus databases during March 2021. Included studies evaluated the prediction of the difficulty of surgical removal of impacted upper or lower third molars using new indices/scales or pre-existing scales with or without modifications. Articles referring to coronectomies or assessing pre-surgical di…
Incidence of potential drug interactions in a transplant centre setting and relevance of electronic alerts for clinical practice support
2013
Background Adverse drug events may occur as a result of drug–drug interactions (DDIs). Information technology (IT) systems can be an important decision-making tool for healthcare workers to identify DDIs.Objective The aim of the study is to analyse drug prescriptions in our main hospital units, in order to measure the incidence and severity of potential DDIs. The utility of clinical decision-support systems (CDSSs) and computerised physician order entry (CPOE) in term of alerts adherence was also assessed. DDIs were assessed using a Micromedex healthcare series database.Methods The system, adopted by the hospital, generates alerts for prescriptions with negative interactions and thanks to a…