Search results for "EHealth"

showing 10 items of 95 documents

Telemonitoring of Crohn's Disease and Ulcerative Colitis (TECCU): Cost-Effectiveness Analysis.

2019

Background Although electronic health interventions are considered safe and efficient, evidence regarding the cost-effectiveness of telemonitoring in inflammatory bowel disease is lacking. Objective We aimed to evaluate the cost-effectiveness and cost-utility of the Telemonitorización de la Enfermedad de Crohn y Colitis Ulcerosa (Telemonitoring of Crohn’s Disease and Ulcerative Colitis [TECCU]) Web platform (G_TECCU intervention group) for telemonitoring complex inflammatory bowel disease, compared with standard care (G_control) and nurse-assisted telephone care (G_NT intervention group). Methods We analyzed cost-effectiveness from a societal perspective by comparing the 3 follow-up method…

AdultMalemedicine.medical_specialty020205 medical informaticsCost effectivenessCost-Benefit AnalysisPsychological interventionHealth Informatics02 engineering and technologylcsh:Computer applications to medicine. Medical informaticsInflammatory bowel diseaseinflammatory bowel diseaseslaw.invention03 medical and health sciencesYoung Adult0302 clinical medicineRandomized controlled triallawInternal medicineHealth care0202 electrical engineering electronic engineering information engineeringmedicineHumanscost-effectivenessCrohn's diseaseOriginal Papercolitis ulcerativebusiness.industrylcsh:Public aspects of medicineCrohn diseaselcsh:RA1-1270Cost-effectiveness analysisMiddle Agedmedicine.diseaseUlcerative colitisTelemedicinelcsh:R858-859.7030211 gastroenterology & hepatologyFemaleeHealthbusinessJournal of medical Internet research
researchProduct

Ready for eHealth? Health Professionals' Acceptance and Adoption of eHealth Interventions in Inpatient Routine Care.

2017

eHealth interventions can be effective in treating health problems. However, adoption in inpatient routine care seems limited. The present study therefore aimed to investigate barriers and facilitators to acceptance of eHealth interventions and of online aftercare in particular in health professionals of inpatient treatment. A total of 152 out of 287 health professionals of various professional groups in four inpatient rehabilitation facilities filled out a self-administered web-based questionnaire (response rate: 53%); 128 individuals were eligible for further data analysis. Acceptance and possible predictors were investigated with a complex research model based on the Unified Theory of Ac…

AdultMalemedicine.medical_specialtyTelemedicineHealth (social science)020205 medical informaticsmedia_common.quotation_subjectHealth PersonneleducationPsychological interventionMEDLINE02 engineering and technologyLibrary and Information SciencesUnified theory of acceptance and use of technologyLiteracy03 medical and health sciencesYoung Adult0302 clinical medicineNursing0202 electrical engineering electronic engineering information engineeringeHealthMedicineHumans030212 general & internal medicinehealth care economics and organizationsmedia_commonResponse rate (survey)Expectancy theorybusiness.industryCommunicationPublic Health Environmental and Occupational HealthMiddle AgedTelemedicineHospitalizationCross-Sectional StudiesFamily medicineHealth Care SurveysFemalebusinessJournal of health communication
researchProduct

Five Challenges for Benefits Management in Complex Digitalisation Efforts – and a Research Agenda to Address Current Shortcomings

2019

Over the past decades a number of benefits realisation (BR) frameworks have been developed. The benefits management model (BMM) is considered to be the most widely adopted and is often seen as a reference for good practice in digitalisation efforts in single organisations. However, this literature provides little support for complex, inter‑organisational efforts. This is problematic, considering that digitalisation increasingly involves multiple organisations. To explore this gap, we studied the phenomenon in a Norwegian inter‑organisational eHealth effort. Based on a qualitative study involving 50 interviews, observations and document analyses, we identify five distinct challenges and sugg…

Benefits managementKnowledge managementbusiness.industryRealisation05 social sciences02 engineering and technologyNorwegianlanguage.human_language020204 information systemsPhenomenonPolitical science0502 economics and business0202 electrical engineering electronic engineering information engineeringeHealthlanguagebusinessGood practice050203 business & managementQualitative research
researchProduct

Understanding the Complexity of Benefits Management in an Interorganizational eHealth Effort

2019

Benefits managementProcess managementeHealthBusinessProceedings of the Annual Hawaii International Conference on System Sciences
researchProduct

Telehealth in Urology: A Systematic Review of the Literature. How Much Can Telemedicine Be Useful During and After the COVID-19 Pandemic?

2020

Context Coronavirus disease 2019 (COVID-19) pandemic has caused increased interest in the application of telehealth to provide care without exposing patients and physicians to the risk of contagion. The urological literature on the topic is sparse. Objective To perform a systematic review of the literature and evaluate all the available studies on urological applications of telehealth. Evidence acquisition After registration on PROSPERO, we searched PubMed and Scopus databases to collect any kind of studies evaluating any telehealth interventions in any urological conditions. The National Toxicology Program/Office of Health Assessment and Translation Risk of Bias Rating Tool for Human and A…

Coronavirus; COVID-19; E-health; Severe acute respiratory syndrome coronavirus 2; Telehealth; Telemedicinemedicine.medical_specialtyTelemedicineTelemedicine.UrologyUrinary systemCoronaviru030232 urology & nephrologyPsychological interventionUrinary incontinenceContext (language use)TelehealthArticleCOVID-19; Coronavirus; E-health; Severe acute respiratory syndrome coronavirus 2; Telehealth; Telemedicinelaw.invention03 medical and health sciences0302 clinical medicineRandomized controlled triallawHealth caremedicineSevere acute respiratory syndrome coronavirus 2Intensive care medicineE-healthCOVID-19; Coronavirus; E-health; Severe acute respiratory syndrome coronavirus 2; Telehealth; Telemedicine.business.industryCOVID-19COVID-19 Coronavirus E-health Severe acute respiratory syndrome coronavirus 2 Telehealth Telemedicine.TelemedicineCoronavirusTelehealth030220 oncology & carcinogenesismedicine.symptombusinessCoronavirus COVID-19 E-health Severe acute respiratory syndrome coronavirus 2 Telehealth TelemedicineEuropean Urology
researchProduct

Evaluation of an eHealth intervention aiming to promote healthy food habits from infancy -the Norwegian randomized controlled trial Early Food for Fu…

2019

Background Strategies to optimize early-life nutrition provide an important opportunity for primary prevention of childhood obesity. Interventions that can be efficiently scaled-up to the magnitude needed for sustainable childhood obesity prevention are needed. The objective of this study was to evaluate the effects of an eHealth intervention on parental feeding practices and infant eating behaviors. Methods The Norwegian study Early Food for Future Health is a randomized controlled trial. Parents were recruited via social media and child health clinics during spring 2016 when their child was aged 3 to 5 months. In total 718 parents completed a web-based baseline questionnaire at child age …

CounselingMaleParents0301 basic medicineGerontologyPediatric ObesityPsychological interventionMedicine (miscellaneous)law.inventionInfant nutritionEating0302 clinical medicineRandomized controlled triallawSurveys and QuestionnairesVegetables030212 general & internal medicineChildhood obesitylcsh:RC620-627MealsPublic healthNutrition and DieteticsAnthropometryNorwaylcsh:Public aspects of medicineMaternal feeding practicesTelemedicineChild eating behaviorlcsh:Nutritional diseases. Deficiency diseasesFemaleAdultmedicine.medical_specialtyMothersPhysical Therapy Sports Therapy and RehabilitationHealth PromotionClinical nutritionChildhood obesity03 medical and health sciencesIntervention (counseling)medicineeHealthHumansCookbooks as Topic030109 nutrition & dieteticsbusiness.industryResearchPublic healthInfantlcsh:RA1-1270Feeding BehaviorAnthropometrymedicine.diseaseDietFruitInfant BehavioreHealthbusiness
researchProduct

P260 Adaptation of TECCU App based on patients’ perceptions for telemonitoring inflammatory bowel disease: A qualitative study using focus groups

2020

Abstract Background Despite the continuous adaptation of eHealth systems for patients with inflammatory bowel disease (IBD), a significant disconnection persists between users and developers. Since non-adherence remains high, it is necessary to better understand the patients’ perspectives on telemonitoring for IBD. The aim of this study was to adapt the TECCU app to the preferences and needs of IBD patients. Methods A qualitative study was carried out using successive focus groups of IBD patients. Meetings were audio-recorded and a thematic analysis approach was employed until data saturation was achieved. The first group included patients who had used the TECCU app in a pilot clinical tria…

Crohn's diseasebusiness.industryGastroenterologyGeneral MedicineTelehealthmedicine.diseaseFocus groupInflammatory bowel diseaseUlcerative colitisPatient perceptionsMedicineAdaptation (computer science)businessQualitative researchClinical psychologyJournal of Crohn's and Colitis
researchProduct

Context-related data processing in artificial neural networks for higher reliability of telerehabilitation systems

2015

Classification is a data processing technique of a great significance both for native eHealth systems and web telemedicine solutions. In this sense, artificial neural networks have been widely applied in telerehabilitation as powerful tools to process information and acquire a new medical knowledge. But effective analysis of multidimensional heterogeneous medical data, still poses considerable difficulties. It was shown that processing too many data features simultaneously is costly and has some adverse effects on the resulting models classification properties. Therefore, there is a strong need to develop new techniques for selecting features from the very large data sets that include many …

Data processingArtificial neural networkComputer sciencebusiness.industryReliability (computer networking)Feature selectionContext (language use)computer.software_genreMachine learningData acquisitionTelerehabilitationeHealthData miningArtificial intelligencebusinesscomputer2015 17th International Conference on E-health Networking, Application & Services (HealthCom)
researchProduct

Reference Design for Smart Collaborative Telehealth and Telecare Services Based on IoT Technologies

2015

The demographic development shows aging societies through-out the globe, leading to higher demands on the health and care systems due to age-related disabilities, chronic diseases, etc. Telehealth and telecare services for more efficient support of health and care providers are needed, which can be significantly improved by the continuous technological developments in areas such as sensor devices, Internet of Things (IoT), cloud services, and data analysis. This paper addresses the potential of selected emerging technologies to make eHealth systems smarter, more collaborative and more efficient. As a result of the analysis of the most promising technological trends, characteristics of futur…

Decision support systemProcess managementMultimediaComputer scienceEmerging technologiesbusiness.industryTelecareReference designCloud computingTelehealthcomputer.software_genreHealth informaticseHealthbusinesscomputer2015 International Conference on Computational Science and Computational Intelligence (CSCI)
researchProduct

A Decision-support Algorithm for Self-management of Anticoagulation Therapy Used in a Smartphone Application

2019

Warfarin for anticoagulation therapy is used by patients with specific cardiovascular diseases to control the ability of blood clotting. Traditional ways for self-management of the therapy are based on paper forms and procedures. This paper presents an algorithm developed for the smartphone application “Warfarin Guide”, which is a computer-assisted decision-support system used to help patients with self-management of their anticoagulation therapy related to International Normalized Ratio (INR) values. The algorithm was based on clinical guidelines for Warfarin therapy and it was adapted for the software application to address challenges with regular INR checks and adjustments for temporary …

Decision support systemSelf-managementTherapy related020205 medical informaticsBlood clottingComputer sciencebusiness.industryWarfarinWarfarin therapy02 engineering and technologySmartphone applicationVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Health informatics03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringmedicineeHealthheterocyclic compoundscardiovascular diseases030212 general & internal medicinebusinessAlgorithmmedicine.drug2019 IEEE Symposium on Computers and Communications (ISCC)
researchProduct