Search results for "Clinical decision"
showing 10 items of 96 documents
Automated Flow Cytometric Analysis of Blood Cells in Cerebrospinal Fluid
2004
We compared the performance of an automated method for obtaining RBC and WBC counts and WBC differential counts in cerebrospinal fluid (CSF) samples with the reference manual method. Results from 325 samples from 10 worldwide clinical sites were used to demonstrate the accuracy, precision, and linearity of the method. Accuracy statistics for absolute cell counts showed a high correlation between methods, with correlation coefficients for all reportable absolute counts greater than 0.9. Linearity results demonstrated that the method provides accurate results throughout the reportable ranges, including clinical decision points for WBCs of 0 to 10/μL. Interassay precision and intra-assay preci…
Intraoperative transfusion practices and perioperative outcome in the European elderly: A secondary analysis of the observational ETPOS study
2022
PLOS ONE 17(1), e0262110 (2022). doi:10.1371/journal.pone.0262110
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,…
Nutraceuticals and functional foods for the control of plasma cholesterol levels. An intersociety position paper
2018
Current evidence shows that cholesterol management either reduces the likelihood of cardiovascular disease (CVD) or slows down its progression. Hence, it is important that all health professionals make appropriate use of all the available intervention strategies to control risk factors: from dietary improvement and positive lifestyle changes to the use of functional foods, food supplements, and drugs. This review examines the effect of the most frequently occurring cholesterol-lowering substances in functional foods or in supplements across Europe, namely plant sterols and stanols, monacolin K found in red yeast rice, berberine and beta-glucans. We conclude that currently available suppleme…
The cost-effectiveness of neonatal versus prenatal screening for congenital toxoplasmosis
2019
BackgroundCongenital Toxoplasmosis (CT) can have severe consequences. France, Austria, and Slovenia have prenatal screening programs whereas some other countries are considering universal screening to reduce congenital transmission and severity of infection in children. The efficiency of such programs is debated increasingly as seroprevalence among pregnant women and incidence of congenital toxoplasmosis show a steady decrease. In addition, uncertainty remains regarding the effectiveness of pre- and postnatal treatments.MethodTo identify cost-effective strategies, prenatal and neonatal screenings were compared using a decision-analytic model based on French guidelines and current knowledge …
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, …
Rethinking clinical decision-making to improve clinical reasoning
2022
Improving clinical reasoning techniques is the right way to facilitate decision-making from prognostic, diagnostic, and therapeutic points of view. However, the process to do that is to fill knowledge gaps by studying and growing experience and knowing some cognitive aspects to raise the awareness of thinking mechanisms to avoid cognitive errors through correct educational training. This article examines clinical approaches and educational gaps in training medical students and young doctors. The authors explore the core elements of clinical reasoning, including metacognition, reasoning errors and cognitive biases, reasoning strategies, and ways to improve decision-making. The article addres…
Physical frailty in liver transplantation.
2020
In patients with cirrhosis, frailty represents a status of global physical dysfunction associated with a multiplicity of factors, including muscle wasting, undernutrition and malnutrition, and functional impairment. This condition is particularly prevalent among those with advanced cirrhosis, such as liver transplant (LT) candidates. Studies in this vulnerable population have demonstrated that its presence is independently predictive of adverse outcomes both pre- and post-transplantation, and thus that its incorporation into clinical practice could result in improved clinical decision-making, particularly regarding the identification of candidates for physical and nutritional interventions.…
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…