268 results match your criteria: "Norwegian Centre for E-Health Research[Affiliation]"
Stud Health Technol Inform
June 2020
UiT The Arctic University of Norway, Tromsø, Norway.
The rapid improvement in mobile health technologies revolutionized what and how people can self-record and manage data. This massive amount of information accumulated by these technologies has potentially many applications beyond personal need, i.e.
View Article and Find Full Text PDFStud Health Technol Inform
June 2020
Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
Background And Objective: The number of publications on the use of chatbots for health is recently increasing, however to our knowledge, there are no publications summarizing what is known about using chatbots for public health yet. The objective of this work is to provide an overview of the existing scientific literature on the use of chatbots for public health, for which purpose have chatbots been used, and whether health-related outcomes have been reported.
Methods: We carried out a literature review on this topic across 5 databases: Pubmed, EMBASE, PsychINFO, SCOPUS, and IEEE Xplore.
Stud Health Technol Inform
June 2020
Department of Computer Science, University of Tromsø - The Arctic University of Norway, Tromsø, Norway.
Patients with diabetes are often worried about having low blood glucose because of the unpleasant feeling and possible dangerous situations this can lead to. This can make patients consume more carbohydrates than necessary. Ad-hoc carbohydrate estimation and dosing by the patients can be unreliable and may produce unwanted periods of high blood glucose.
View Article and Find Full Text PDFStud Health Technol Inform
June 2020
Norwegian Centre for E-health Research, Tromsø, Norway.
Sensitive data is normally required to develop rule-based or train machine learning-based models for de-identifying electronic health record (EHR) clinical notes; and this presents important problems for patient privacy. In this study, we add non-sensitive public datasets to EHR training data; (i) scientific medical text and (ii) Wikipedia word vectors. The data, all in Swedish, is used to train a deep learning model using recurrent neural networks.
View Article and Find Full Text PDFBMJ Open
June 2020
Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
Objectives: To explore patients' use and experiences with four digital health services implemented in Norway to enable electronic communication between patients and their general practitioner (GP): (1) electronic booking of appointments; (2) electronic prescription renewal; (3) electronic contact with the GP's office for non-clinical inquiries; and (4) e-consultation for clinical inquiries.
Design: An online survey consisting of quantitative data supplemented by qualitative information was conducted to explore: (1) characteristics of the users; (2) use; (3) experiences, perceived benefits and satisfaction; and (4) time spent using the digital health services.
Setting: Primary care.
J Diabetes Sci Technol
July 2020
Department of Computer Science, University of Tromsø - The Arctic University of Norway, Norway.
JMIR Public Health Surveill
May 2020
Department of Computer Science, University of Tromsø, The Arctic University of Norway, Gjøvik, Norway.
Background: The time lag in detecting disease outbreaks remains a threat to global health security. The advancement of technology has made health-related data and other indicator activities easily accessible for syndromic surveillance of various datasets. At the heart of disease surveillance lies the clustering algorithm, which groups data with similar characteristics (spatial, temporal, or both) to uncover significant disease outbreak.
View Article and Find Full Text PDFJMIR Mhealth Uhealth
April 2020
Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
Background: Despite the prevalence of mobile health (mHealth) technologies and observations of their impacts on patients' health, there is still no consensus on how best to evaluate these tools for patient self-management of chronic conditions. Researchers currently do not have guidelines on which qualitative or quantitative factors to measure or how to gather these reliable data.
Objective: This study aimed to document the methods and both qualitative and quantitative measures used to assess mHealth apps and systems intended for use by patients for the self-management of chronic noncommunicable diseases.
AMIA Annu Symp Proc
June 2020
University of Utah, Salt Lake City, UT.
With the advent of interoperability standards such as FHIR, SMART, CDS Hooks, and CQL, interoperable clinical decision support (CDS) holds great promise for improving healthcare. In 2018, the Agency for Healthcare Research and Quality (AHRQ)-sponsored Patient-Centered CDS Learning Network (PCCDS LN) chartered a Technical Framework Working Group (TechFWG) to identify barriers, facilitators, and potential solutions for interoperable CDS, with a specific focus on addressing the opioid epidemic. Through an open, multi-stakeholder process that engaged 54 representatives from healthcare, industry, and academia, the TechFWG identified barriers in 6 categories: regulatory environment, data integration, scalability, business case, effective and useful CDS, and care planning and coordination.
View Article and Find Full Text PDFYearb Med Inform
August 2020
Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, INSERM-CIC-IT 1403/Evalab, Lille, France.
Objective: Human and Organizational Factors (HOF) studies in health technology involve human beings and thus require Institutional Review Board (IRB) approval. Yet HOF studies have specific constraints and methods that may not fit standard regulations and IRB practices. Gaining IRB approval may pose difficulties for HOF researchers.
View Article and Find Full Text PDFAssist Technol
March 2022
Department of Business Technologies and Entrepreneurship, Vilnius Gediminas Technical University, Vilnius, Lithuania.
Given the growth in the numbers of visually impaired (VI) people in low-income countries, the development of affordable electronic travel aid (ETA) systems employing devices, sensors, and apps embedded in ordinary smartphones becomes a potentially cost-effective and reasonable all-in-one solution of utmost importance for the VI. This paper offers an overview of recent ETA research prototypes that employ smartphones for assisted orientation and navigation in indoor and outdoor spaces by providing additional information about the surrounding objects. Scientific achievements in the field were systematically reviewed using PRISMA methodology.
View Article and Find Full Text PDFJMIR Res Protoc
March 2020
Center for Shared Decision-Making and Collaborative Care Research, Oslo University Hospital, Oslo, Norway.
Background: There are large disparities between immigrants and native Norwegians in domains such as health, education, and employment. Reducing such disparities is essential for individual and societal well-being. Social capital is associated with positive effects on these domains, and mentoring programs have the potential to boost social capital.
View Article and Find Full Text PDFJ Med Internet Res
March 2020
Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
Background: Electronic health (eHealth) has been described as a silver bullet for addressing how challenges of the current health care system may be solved by technological solutions in future strategies and visions for modern health care. However, the evidence of its effects on service quality and cost effectiveness remains unclear. In addition, patients' psychological and emotional reactions to using eHealth tools are rarely addressed by the scientific literature.
View Article and Find Full Text PDFJMIR Med Inform
March 2020
Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
Background: Electronic health (eHealth) services may help people obtain information and manage their health, and they are gaining attention as technology improves, and as traditional health services are placed under increasing strain. We present findings from the first representative, large-scale, population-based study of eHealth use in Norway.
Objective: The objectives of this study were to examine the use of eHealth in a population above 40 years of age, the predictors of eHealth use, and the predictors of taking action following the use of these eHealth services.
J Med Internet Res
March 2020
Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
Background: Patients who suffer from different diseases may use different electronic health (eHealth) resources. Thus, those who plan eHealth interventions should take into account which eHealth resources are used most frequently by patients that suffer from different diseases.
Objective: The aim of this study was to understand the associations between different groups of chronic diseases and the use of different eHealth resources.
J Med Internet Res
March 2020
Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
Background: The internet is being widely used for seeking health information. However, there is no consensus on the association between health information seeking on the internet and the use of health care services.
Objective: We examined the association between health information seeking via the internet and physician visits.
J Med Internet Res
February 2020
Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
Background: The electronic health record (EHR) has been fully established in all Norwegian hospitals. Patient-accessible electronic health records (PAEHRs) are available to citizens aged 16 years and older through the national health portal Helsenorge.
Objective: This study aimed at understanding how patients use PAEHRs.
JMIR Form Res
February 2020
Center for Shared Decision-Making and Collaborative Care Research, Oslo University Hospital, Oslo, Norway.
Background: Mentoring programs (ie, programs that connect youths with adult volunteers) have been shown to improve outcomes across the behavioral, social, and academic domains of youth development. As in other European countries, mentoring programs have few traditions in Norway, where interventions for multicultural youths are usually profession driven and publicly funded. Faced with the risk of disparities in education and health, there is a need to better understand this group's experiences and requirements relative to mentoring.
View Article and Find Full Text PDFSensors (Basel)
January 2020
Department of Business Technologies and Entrepreneurship, Vilnius Gediminas Technical University, 10223, Vilnius, Lithuania.
Currently, several outdoor navigation and orientation electronic traveling aid (ETA) solutions for visually impaired (VI) people are commercially available or in active development. This paper's survey of blind experts has shown that after outdoor navigation, the second most important ETA feature for VI persons is indoor navigation and orientation (in public institutions, supermarkets, office buildings, homes, etc.).
View Article and Find Full Text PDFData Brief
February 2020
Norwegian Centre for E-health Research, Tromsø, Norway.
We performed a search to identify available wearable sensors systems that can collect patient health data and have data sharing capabilities. Findings available in "Wearable sensors with possibilities for data exchange: Analyzing status and needs of different actors in mobile health monitoring systems" [1]. We performed an initial search of the Vandrico wearable database, and supplemented the resulting device list with an internet search.
View Article and Find Full Text PDFBMC Health Serv Res
December 2019
The Norwegian Directorate for e-health, P.O. Box 221 Skøyen, 0213, Oslo, Norway.
Background: The electronic health record is expected to improve the quality and efficiency of health care. Many novel functionalities have been introduced in order to improve medical decision making and communication between health care personnel. There is however limited evidence on whether these new functionalities are useful.
View Article and Find Full Text PDFInt J Med Inform
January 2020
Norwegian Centre for E-Health Research, University Hospital of North Norway, Tromsø, Norway.
Background: Wearable devices with an ability to collect various type of physiological data are increasingly becoming seamlessly integrated into everyday life of people. In the area of electronic health (eHealth), many of these devices provide remote transfer of health data, as a result of the increasing need for ambulatory monitoring of patients. This has a potential to reduce the cost of care due to prevention and early detection.
View Article and Find Full Text PDFBrain Inj
July 2021
Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
JMIR Mhealth Uhealth
September 2019
Department of Health and Caring Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
Background: There is a need to deliver smoking cessation support at a population level, both in developed and developing countries. Studies on internet-based and mobile phone-based smoking cessation interventions have shown that these methods can be as effective as other methods of support, and they can have a wider reach at a lower cost.
Objective: This randomized controlled trial (RCT) aimed to compare, on a population level, the efficacy of an identical, tailored smoking cessation intervention delivered by mobile text messaging versus email.
BMC Health Serv Res
September 2019
Department of Nursing and Health Promotion, Faculty of Health Sciences, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Background: The use of mobile health apps is now common in diabetes self-management and acceptability of such tools could help predict further use. There is limited research on the acceptability of such apps: use over time, the factors and features that influence self-management, how to overcome barriers, and how to use an app in relation to health-care personnel. In this study, we aimed to obtain an in-depth understanding of users' acceptability of a mobile app for diabetes self-management, and to explore their communication with health-care personnel concerning the app.
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