Search results for "Information Management"

showing 10 items of 207 documents

Artificial Intelligence for Hospital Health Care:Application Cases and Answers to Challenges in European Hospitals

2021

The development and implementation of artificial intelligence (AI) applications in health care contexts is a concurrent research and management question. Especially for hospitals, the expectations regarding improved efficiency and effectiveness by the introduction of novel AI applications are huge. However, experiences with real-life AI use cases are still scarce. As a first step towards structuring and comparing such experiences, this paper is presenting a comparative approach from nine European hospitals and eleven different use cases with possible application areas and benefits of hospital AI technologies. This is structured as a current review and opinion article from a diverse range of…

Coronavirus disease 2019 (COVID-19)Leadership and ManagementData managementmedia_common.quotation_subject610 Medicine & healthHealth InformaticsArticle03 medical and health sciences0302 clinical medicineHealth Information ManagementSDG 3 - Good Health and Well-beingPandemicHealth careData Protection Act 1998Use case030212 general & internal medicine610 Medicine & healthmedia_commonbusiness.industryHealth PolicyRCOVID-19benefitsartificial intelligenceEuropean hospitalsuses casesArtificial intelligence; Benefits; COVID-19; European hospitals; Uses casesMedicine/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingArtificial intelligenceApplications of artificial intelligencebusiness030217 neurology & neurosurgeryDiversity (politics)
researchProduct

Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation.

2019

In this paper, we present a novel convolutional neural network architecture to segment images from a series of short-axis cardiac magnetic resonance slices (CMRI). The proposed model is an extension of the U-net that embeds a cardiac shape prior and involves a loss function tailored to the cardiac anatomy. Since the shape prior is computed offline only once, the execution of our model is not limited by its calculation. Our system takes as input raw magnetic resonance images, requires no manual preprocessing or image cropping and is trained to segment the endocardium and epicardium of the left ventricle, the endocardium of the right ventricle, as well as the center of the left ventricle. Wit…

Databases FactualComputer scienceHealth InformaticsImage processingConvolutional neural network030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineHealth Information ManagementSørensen–Dice coefficientImage Processing Computer-AssistedHumansElectrical and Electronic EngineeringArtificial neural networkbusiness.industryMedical image computingCenter (category theory)Pattern recognitionHeartImage segmentationMagnetic Resonance ImagingComputer Science ApplicationsCardiac Imaging TechniquesHausdorff distancecardiovascular systemArtificial intelligenceNeural Networks Computerbusiness030217 neurology & neurosurgeryIEEE journal of biomedical and health informatics
researchProduct

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, …

Decision support systembusiness.industry030503 health policy & servicesmedia_common.quotation_subjectHealth InformaticsUsabilityClinical decision support systemComputer Science Applications03 medical and health sciencesNursing care0302 clinical medicineHealth Information ManagementNursingContent analysisInformation systemMedicineQuality (business)030212 general & internal medicine0305 other medical scienceNursing homesbusinessmedia_commonResearch Article
researchProduct

Correlations between Diabetes Mellitus Self-Care Activities and Glycaemic Control in the Adult Population: A Cross-Sectional Study

2022

Although it is well known that lifestyle changes can affect plasma glucose levels, there is little formal evidence for the sustained effectiveness of exercise and diet in diabetes mellitus (DM) management. Self-care in DM refers to the real-life application of the knowledge that the patient gained during the education programmes. The goals are to bring about changes in the patient’s behaviour, thus improving glycaemic control. We evaluated the influence of DM self-care activities (SCA) on glycaemic control in a total of 159 patients with DM. Plasma glycated haemoglobin (HbA1c) levels were used to monitor glycaemic control, while SCA were assessed using the standardised Diabetes Self-M…

Diabetes mellitus Diabetes self-management questionnaire Glycaemic control Physical activity Prevention Self-care activitiesdiabetes mellitus; diabetes self-management questionnaire; physical activity; self-care activities; glycaemic control; preventionLeadership and ManagementHealth PolicyRphysical activityHealth Informaticsself-care activitiesArticleglycaemic controlpreventionHealth Information Managementdiabetes mellitusMedicinediabetes self-management questionnaire
researchProduct

2020

Background Evidence suggests that mobile health app use is beneficial for the prevention and management of type 2 diabetes (T2D) and its associated complications; however, population-based research on specific determinants of health app use in people with and without T2D is scarce. Objective This cross-sectional study aimed to provide population-based evidence on rates and determinants of health app use among adults with and without T2D, thereby covering a prevention perspective and a diabetes management perspective, respectively. Methods The study population included 2327 adults without a known diabetes diagnosis and 1149 adults with known T2D from a nationwide telephone survey in Germany…

Diabetes risk020205 medical informaticsEndocrinology Diabetes and MetabolismPopulationBiomedical Engineering030209 endocrinology & metabolismHealth Informatics02 engineering and technologyOverweight03 medical and health sciences0302 clinical medicineHealth Information ManagementDiabetes management0202 electrical engineering electronic engineering information engineeringMedicineSocial determinants of healtheducationeducation.field_of_studybusiness.industryOdds ratiomedicine.diseaseObesityComputer Science ApplicationsHealth promotionmedicine.symptombusinessDemographyJMIR Diabetes
researchProduct

Differences in Perceived Occupational Stress by Demographic Characteristics, of European Emergency Medical Services Personnel during the COVID-19 Vir…

2021

Objectives: The outbreak of the COVID-19 pandemic has brought commercial, social, and economic consequences in every country that has experienced substantial SARS-CoV-2 infection rates. The complete change in the environment that took place due to the outbreak of the pandemic can lead to stressful situations, especially among healthcare personnel. Material and methods: The research were conducted during the COVID-19 pandemic between the 27 March 2020 and the 20 April 2020. The research included 1984 employees of emergency medical systems in seven European countries. An internet-based questionnaire format was adopted for the study (ΩMc-Donald &gt

Emergency proceduresmedicine.medical_specialtyCoronavirus disease 2019 (COVID-19)Medical professionalsLeadership and ManagementCOVID-19 pandemicHealth InformaticsNorwegianpredictors of stressArticleStress levelHealth Information ManagementHealth carePandemicEmergency medical servicesMedicinemedical professionalsStress predictorsEmergency medical servicesbusiness.industryHealth PolicyRCOVID-19Outbreakemergency medical servicesOccupational stressemergency procedureslanguage.human_languageFamily medicinelanguageMedicineOccupational stressbusinessoccupational stressHealthcare
researchProduct

Risk Accelerators in Disasters

2014

Published version of a chapter in the book: Advanced Information Systems Engineering. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-319-07881-6_2 Modern societies are increasingly threatened by disasters that require rapid response through ad-hoc collaboration among a variety of actors and organizations. The complexity within and across today's societal, economic and environmental systems defies accurate predictions and assessments of damages, humanitarian needs, and the impact of aid. Yet, decision-makers need to plan, manage and execute aid response under conditions of high uncertainty while being prepared for further disruptions and failures. This paper argues tha…

EngineeringKnowledge managementbusiness.industryhumanitarian information managementsensemakingSensemakingrobust decision supportrisk managementOutcome (game theory)preparednessVariety (cybernetics)disaster responseRisk analysis (engineering)VDP::Social science: 200::Library and information science: 320::Information politics: 322Paradigm shiftPreparednessField researchDamagesbusinessRisk management
researchProduct

Influence of Sports Participation on the Behaviors of Customers of Sports Services: Linear and Qualitative Comparative Analysis Models

2023

Sports services have become an important enclave for our society. Due to its complete sports offer, customers can perform physical activity that helps them to improve their health and well-being. In fitness centers, managers try to know what their customers are looking for in order to create more personalized experiences, as well as to improve their health. This study seeks to understand the influence that sports frequency has on the future behavior of users of a sports center, using two complementary methodologies. A sample of 383 users of a private sports center was used. The two complementary methodologies used were linear models and comparative qualitative analysis, based on the combina…

Esportssports frequency; fitness center; sport management; behaviors; healthy life; satisfactionVidaHealth Information ManagementLeadership and ManagementHealth PolicyConducta (Psicologia)SalutHealth InformaticsEntrenament (Esport)Healthcare; Volume 11; Issue 9; Pages: 1320
researchProduct

Research Mapping of Trauma Experiences in Autism Spectrum Disorders: A Bibliometric Analysis

2023

The number of research related to traumatic experiences in people with autism spectrum disorder (ASD) has grown exponentially, yet there are no bibliometric studies in this field. This article aimed to analyze the literature related to trauma and ASD published in Web of Science (WoS). Papers on trauma and ASD were retrieved from the WoS. Analysis and visualization of selected documents were performed using MS Excel (v16.0), VOS viewer (version 1.6.15), and R package (Biblioshiny, version 2.0). A total of 147 articles were included in this study. The results showed that production has been increasing over the last few years. Among the countries identified, the USA published the largest numbe…

EstrèsHealth Information ManagementBibliometriaLeadership and ManagementHealth PolicyHealth InformaticsAutismeXoc traumàtic
researchProduct

Factors Affecting Attitudes towards Older People in Undergraduate Nursing Students

2021

Background: The population of older people is increasing worldwide. The social and healthcare systems need many nurses to care for the elderly. Positive attitudes increase the preference to work with older people and improve the quality of care. This study describes attitudes towards the elderly in a sample of nursing students, and analyzes the potential factors influencing these attitudes. Methods: A cross-sectional study was carried out in nursing students during the academic course 2017–2018. Kogan’s Attitude Toward Old People Scale was used to assess student attitudes towards older people. Results: The study included 377 undergraduate nursing students, of which 75.9% were women. The mea…

Gerontologymedicine.medical_specialtyLeadership and ManagementUndergraduate nursingPopulationHealth InformaticsArticleNursing careHealth Information Managementageismmedicineeducationnursing studentsGeriatricseducation.field_of_studyHealth PolicyfactorsRPreferenceagedScale (social sciences)attitudeMedicineNursing homesPsychologyOlder peopleHealthcare
researchProduct