Search results for "Health information management"

showing 10 items of 144 documents

Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability.

2005

A nonlinear prediction method for investigating the dynamic interdependence between short length time series is presented. The method is a generalization to bivariate prediction of the univariate approach based on nearest neighbor local linear approximation. Given the input and output series x and y, the relationship between a pattern of samples of x and a synchronous sample of y was approximated with a linear polynomial whose coefficients were estimated from an equation system including the nearest neighbor patterns in x and the corresponding samples in y. To avoid overfitting and waste of data, the training and testing stages of the prediction were designed through a specific out-of-sampl…

Bivariate time seriePhysics::Medical PhysicsBiomedical EngineeringBlood PressureBivariate analysisOverfittingCross-validationk-nearest neighbors algorithmCardiovascular Physiological PhenomenaHealth Information ManagementHeart RateTilt-Table TestStatisticsApplied mathematicsHumansComputer SimulationPredictabilityHeart rate variabilityMathematicsHealth InformaticBaroreflex controlSystolic arterial pressure variabilityUnivariateModels CardiovascularNonlinear predictionComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science ApplicationsNonlinear systemComputational Theory and MathematicsNonlinear DynamicsLinear approximationMedicalbiological engineeringcomputing
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Evaluation of Record Linkage Methods for Iterative Insertions

2009

Summary Objectives: There have been many developments and applications of mathematical methods in the context of record linkage as one area of interdisciplinary research efforts. However, comparative evaluations of record linkage methods are still underrepresented. In this paper improvements of the Fellegi-Sunter model are compared with other elaborated classification methods in order to direct further research endeavors to the most promising methodologies. Methods: The task of linking records can be viewed as a special form of object identification. We consider several non-stochastic methods and procedures for the record linkage task in addition to the Fellegi-Sunter model and perform an e…

Boosting (machine learning)Medical Records Systems ComputerizedComputer scienceDecision treeHealth Informaticscomputer.software_genreMachine learningFuzzy LogicHealth Information ManagementGermanyExpectation–maximization algorithmHumansRegistriesAdvanced and Specialized NursingElectronic Data ProcessingModels Statisticalbusiness.industryData CollectionDecision TreesSupport vector machineClassification methodsMedical Record LinkageData miningArtificial intelligencebusinesscomputerAlgorithmsSoftwareRecord linkageMethods of Information in Medicine
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Strengths and Weaknesses of Cancer Pain Management in Italy: Findings from a Nationwide SIAARTI Survey

2022

Objectives: Despite guidelines, a large percentage of cancer patients continue to suffer from ineffectively treated pain. The authors undertook this survey to assess the strengths and weaknesses of cancer pain management in Italy. Design: This was a prospectively administered survey. Participants: The participants were anesthesiologists of the Italian Society of Anesthesia, Analgesia, Resuscitation and Intensive Care (SIAARTI). Intervention: A 58-item questionnaire covered the demographics and features of cancer pain management in the Italian context. Results: The authors received responses from 611 pain therapists of 279 centers. Only 22% of physicians are exclusively pain therapists. Seve…

Breakthrough cancer pain; Cancer pain; Chronic pain; Neuropathic pain; Opioid; Pain management; SurveyLeadership and ManagementHealth PolicyBreakthrough cancer painChronic painHealth InformaticsOpioidNeuropathic painPain managementHealth Information ManagementSettore MED/41Cancer painSurveycancer pain; survey; breakthrough cancer pain; pain management; chronic pain; opioid; neuropathic painHealthcare; Volume 10; Issue 3; Pages: 441
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Adolescents with Neuropsychiatric Disorders during the COVID-19 Pandemic: Focus on Emotional Well-Being and Parental Stress

2022

(1) Introduction: The aim of our research was to explore emotional/behavioral changes in adolescents with neuropsychiatric conditions during the COVID-19 pandemic, and parental stress levels through a standardized assessment, comparing the data collected before and during the first months of lockdown. Moreover, an additional goal was to detect a possible relationship between emotional/behavioural symptoms of adolescents and the stress levels of their parents. (2) Methods: We enrolled 178 Italian adolescents aged between 12–18 that were referred to the Child Neuropsychiatry Unit of the University Hospital of Salerno with different neuropsychiatric diagnoses. Two standardized questionnaires w…

CBCLLeadership and ManagementHealth Policyneuropsychiatric disorderCOVID-19Health Informaticsparental stressemotional behavioral symptomsneuropsychiatric disordersemotional behavioral symptomHealth Information ManagementadolescentPSIadolescentsCOVID-19; neuropsychiatric disorders; adolescents; emotional behavioral symptoms; parental stress; CBCL; PSIHealthcare
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Gluten Free Diet for the Management of Non Celiac Diseases: The Two Sides of the Coin

2020

A lifelong adherence to a gluten-free (GF) diet is currently the only treatment for Celiac disease (CD), an autoimmune disorder that arises after gluten ingestion in individuals who are genetically predisposed. The gluten intake exerts toxic effects through several pathways involving gut barrier integrity, intestinal microbiota composition and immune system stimulation. However, despite the great benefit of GF diet for CD patients, its use has been debated. Indeed, individuals who adopt this diet regime may be at risk of nutrient deficiencies. Emerging evidence supports a beneficial effect of a GF diet also for other pathological conditions, including gluten-related disorders (GRD) often as…

Celiac diseasesLeadership and Managementlcsh:MedicineHealth InformaticsReviewDisease03 medical and health sciences0302 clinical medicineImmune systemHealth Information Managementgluten-free dietSettore BIO/10 - BiochimicaDiabetes mellitusMedicineIngestionIrritable bowel syndrome030304 developmental biologychemistry.chemical_classification0303 health sciencesbusiness.industryHealth Policylcsh:Rnutritional and metabolic diseasesnon celiac diseasemedicine.diseaseGlutendigestive system diseaseschemistryglutenImmunology030211 gastroenterology & hepatologyGluten freebusinessHealthcare
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Palliative Care Professionals' Inner Lives: Cross-Cultural Application of the Awareness Model of Self-Care

2021

Compassionate professional qualities traditionally have not received the most attention in either critical or end of life care. Constant exposure to death, time pressure and workload, inadequate coping with personal emotions, grieving, and depression urge the development of an inner curricula of competences to promote professional quality of life and compassionate care. The COVID-19 pandemic highlights the universality of these problems and the need to equip ourselves with rigorously validated measurement and monitoring approaches that allow for unbiased comparisons. The main objective of this study was to offer evidence on the generalizability of the awareness model of self-care across thr…

Coping (psychology)Palliative careLeadership and Managementmedia_common.quotation_subjectApplied psychologycompassion fatiguelcsh:MedicineHealth Informaticscompassionate careArticle03 medical and health sciences0302 clinical medicineQuality of life (healthcare)OptimismHealth Information ManagementHealth careGeneralizability theory030212 general & internal medicinemedia_commonbusiness.industrycross-cultural comparisonHealth Policycompassion satisfactionlcsh:RCompassion fatigue030220 oncology & carcinogenesisPsychologybusinessEnd-of-life care
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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)
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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
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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
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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
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