Search results for "clinical decision support system"
showing 10 items of 26 documents
Computational modeling of bicuspid aortopathy: Towards personalized risk strategies.
2019
This paper describes current advances on the application of in-silico for the understanding of bicuspid aortopathy and future perspectives of this technology on routine clinical care. This includes the impact that artificial intelligence can provide to develop computer-based clinical decision support system and that wearable sensors can offer to remotely monitor high-risk bicuspid aortic valve (BAV) patients. First, we discussed the benefit of computational modeling by providing tangible examples of in-silico software products based on computational fluid-dynamic (CFD) and finite-element method (FEM) that are currently transforming the way we diagnose and treat cardiovascular diseases. Then…
Are student nurses ready for new technologies in mental health? Mixed-methods study
2020
Abstract Background Technical innovations such as ecological momentary assessment (EMA), machine learning (ML), computerized adaptive testing (CAT), Digital Phenotyping, Clinical Decision Support Systems (CDSS), Algorithms, and Biomarkers have caused a paradigm shift in psychiatric care. The aim of the present study was to explore how student nurses view this paradigm shift, by assessing the acceptability of smartphone-based EMA, CAT, and biosensor-based Digital Phenotyping. We also investigated the factors affecting this acceptability. Method Student nurses recruited via nursing schools participated in a quantitative study involving the screenplay method, in which they were exposed to two …
The experience of physicians in pharmacogenomic clinical decision support within eight German university hospitals.
2017
Aim: The aim of this study was to assess the physicians’ attitude, their knowledge and their experience in pharmacogenomic clinical decision support in German hospitals. Materials & methods: We conducted an online survey to address physicians of 13 different medical specialties across eight German university hospitals. In total, 564 returned questionnaires were analyzed. Results: The remaining knowledge gap, the uncertainty of test reimbursement and the physicians’ lack of awareness of existing pharmacogenomic clinical decision support systems (CDSS) are the major barriers for implementing pharmacogenomic CDSS into German hospitals. Furthermore, pharmacogenomic CDSS are most effective …
MACVIA-ARIA Sentinel NetworK for allergic rhinitis (MASK-rhinitis): the new generation guideline implementation
2015
Accepted Article
Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine.
2020
The ever-increasing amount of biomedical data is enabling new large-scale studies, even though ad hoc computational solutions are required. The most recent Machine Learning (ML) and Artificial Intelligence (AI) techniques have been achieving outstanding performance and an important impact in clinical research, aiming at precision medicine, as well as improving healthcare workflows. However, the inherent heterogeneity and uncertainty in the healthcare information sources pose new compelling challenges for clinicians in their decision-making tasks. Only the proper combination of AI and human intelligence capabilities, by explicitly taking into account effective and safe interaction paradigms,…
Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective
2018
Big data technologies are nowadays providing health care with powerful instruments to gather and analyze large volumes of heterogeneous data collected for different purposes, including clinical care, administration, and research. This makes possible to design IT infrastructures that favor the implementation of the so-called “Learning Healthcare System Cycle,” where healthcare practice and research are part of a unique and synergic process. In this paper we highlight how “Big Data enabled” integrated data collections may support clinical decision-making together with biomedical research. Two effective implementations are reported, concerning decision support in Diabetes and in Inherited Arrh…
An Evaluation of the Usability of a Computerized Decision Support System for Nursing Homes
2011
SummaryBackground: Computerized decision support systems (CDSSs) have the potential to significantly improve the quality of nursing care of older people by enhancing the decision making of nursing personnel. Despite this potential, health care organizations have been slow to incorporate CDSSs into nursing home practices.Objective: This study describes facilitators and barriers that impact the ability of nursing personnel to effectively use a clinical CDSS for planning and treating pressure ulcers (PUs) and malnutrition and for following the suggested risk assessment guidelines for the care of nursing home residents.Methods: We employed a qualitative descriptive design using varied methods, …
E-health progresses in Romania
2006
The paper is presenting the recent evolution of e-health aspects in Romania. Data presented are based on governmental reports. Surveys organized by the "Lucian Blaga" University of Sibiu and studies carried on by the national Institute for Research and Development in Informatics (I.C.I.) have shown that Romania has important health problems, from cardio vascular diseases (CVD) to cancer and infectious diseases, a high score on mortality and morbidity and a low one on natality. Poor management of the health sector did not help to solve all these problems. In the last 14 years there were several attempts to reform healthcare but none succeeded until now. The health insurance system is operati…
Randomized pilot study and qualitative evaluation of a clinical decision support system for brain tumour diagnosis based on SV 1H MRS: Evaluation as …
2014
The results of a randomized pilot study and qualitative evaluation of the clinical decision support system Curiam BT are reported. We evaluated the system's feasibility and potential value as a radiological information procedure complementary to magnetic resonance (MR) imaging to assist novice radiologists in diagnosing brain tumours using MR spectroscopy (1.5 and 3.0T). Fifty-five cases were analysed at three hospitals according to four non-exclusive diagnostic questions. Our results show that Curiam BT improved the diagnostic accuracy in all the four questions. Additionally, we discuss the findings of the users' feedback about the system, and the further work to optimize it for real envir…
Neural networks as effective techniques in clinical management of patients: some case studies
2004
In this paper, we present four examples of effective implementation of neural systems in the daily clinical practice. There are two main goals in this work; the first one is to show that neural networks are especially well-suited tools for solving different kind of medical/pharmaceutical problems, given the complex input output relationships and the few a priori knowledge about data distribution and variable relations. The second goal is to develop specific software applications, which enclose complex mathematical models, to clinicians; thus, the use of such models as decision support systems is facilitated. Four important pharmaceutical problems are considered in this study: identificatio…