268 results match your criteria: "Norwegian Centre for E-health Research[Affiliation]"

Multi-label classification according to the International Classification of Diseases (ICD) is an Extreme Multi-label Classification task aiming to categorise health records according to a set of relevant ICD codes. We implemented PlaBERT, a new multi-label text classification head with per-label attention, on top of a BERT model. The model assessment is conducted on Electronic Health Records, conveying Discharge Summaries in three languages - English, Spanish, and Swedish.

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Background: On May 8, 2021, Elon Musk, a well-recognized entrepreneur and business magnate, revealed on a popular television show that he has Asperger syndrome. Research has shown that people's perceptions of a condition are modified when influential individuals in society publicly disclose their diagnoses. It was anticipated that Musk's disclosure would contribute to discussions on the internet about the syndrome, and also to a potential change in the perception of this condition.

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Background: Cardiovascular diseases, cancers, chronic respiratory diseases, and diabetes are the 4 main noncommunicable diseases. These noncommunicable diseases share 4 modifiable risk factors (tobacco use, harmful use of alcohol, physical inactivity, and unhealthy diet). Short smartphone surveys have the potential to identify modifiable risk factors for individuals to monitor trends.

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Background: Congenital nail matrix nevi (NMN) are difficult to diagnose because they feature clinical characteristics suggestive of adult subungual melanoma. Nail matrix biopsy is difficult to perform, especially in children.

Objective: To describe the initial clinical and dermatoscopic features of NMN appearing at birth (congenital) or after birth but before the age of 5 years (congenital-type).

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Publicly shared repositories play an important role in advancing performance benchmarks for some of the most important tasks in natural language processing (NLP) and healthcare in general. This study reviews most recent benchmarks based on the 2014 n2c2 de-identification dataset. Pre-processing challenges were uncovered, and attention brought to the discrepancies in reported number of Protected Health Information (PHI) entities among the studies.

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Background: Increased use of pharmaceuticals challenges both capacity and safety related to medication management for patients and changes in how general practitioners (GPs) and other health personnel interact with and follow up with patients. E-prescribing of multidose drug dispensing (eMDD) is 1 of the national measures being tested in Norway.

Objective: The objective of this study is to explore GPs' experiences with the challenges and benefits of implementing eMDD in Norway.

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Experiences from using patient accessible electronic health records - a qualitative study within Sámi mental health patients in Norway.

Int J Circumpolar Health

December 2022

Sámi Norwegian National Advisory Unit on Mental Health and Substance Abuse, Karasjok, Norway.

Patient accessible electronic health records (PAEHR) has been implemented in the Norwegian public health care system since 2015. In Norway the indigenous minority is the Sámi people. Studies show that lingual and cultural competence of the health professionals can affect Sámi patients' user satisfaction with the health care system.

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Background: Flexible Assertive Community Treatment (FACT) is a model for treatment of long-term severe mental disorders. This method has become more widespread in Norway.

Objective: The objective of our study was to examine how the implementation of FACT teams in Norway has been affected by eHealth policy, infrastructure, and regulations.

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Designing Depression Screening Chatbots.

Stud Health Technol Inform

December 2021

Yale New Haven Health, New Haven, Connecticut, USA.

Advances in voice recognition, natural language processing, and artificial intelligence have led to the increasing availability and use of conversational agents (chatbots) in different settings. Chatbots are systems that mimic human dialogue interaction through text or voice. This paper describes a series of design considerations for integrating chatbots interfaces with health services.

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Background: Access to medicines information is important when treating patients, yet discrepancies in medication records are common. Many countries are developing shared medication lists across health care providers. These systems can improve information sharing, but little is known about how they affect the need for medication reconciliation.

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Social Media Chatbot for Increasing Physical Activity: Usability Study.

Stud Health Technol Inform

October 2021

Institute for Medical Informatics, Bern University of Applied Sciences, Bern, Switzerland.

Fully automated self-help interventions integrated with social media chatbots could serve as highly cost-effective physical activity promotion tools for a large population. We have developed MYA, a Telegram-based chatbot for increasing physical activity. The objective of this study was to assess the usability of MYA.

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Aims: To investigate medication dose calculation errors and other numeracy mishaps in hospitals and examine mechanisms and enablers which lead to such errors.

Design: A retrospective study using descriptive statistics and thematic analysis of the nature and enablers of reported incidents.

Methods: Medication dose calculation errors and other numeracy mishaps were identified from medication-related incidents reported to the Norwegian Incident Reporting System in 2016 and 2017.

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Objectives: The aim of the study was to explore the experiences of participants in non-pharmacological group-based treatments delivered as part of a randomised controlled trial at Norwegian tertiary care pain centres.

Methods: Individual semi-structured interviews with 15 persons were conducted. The data were analysed with a descriptive thematic cross-case analysis based on the method of systematic text condensation.

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.

COPD

October 2021

Allergy, Clinical Immunology, and Respiratory Medicine, Monash University, Melbourne, Australia.

Little is known regarding community participation in individuals with chronic obstructive pulmonary disease (COPD). The aim of this study was to explore community participation in individuals with COPD and to determine whether there is an association between community participation and activity-related outcome variables commonly collected during pulmonary rehabilitation assessment. We also sought to investigate which of these variables might influence community participation in people with COPD.

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Background: For people with Type 2 diabetes (T2D), lifestyle changes may be the most effective intervention. Online groups for people with diabetes holds a great potential to support such changes. However, little is known about the association between participation in online groups and lifestyle changes based on internet information in people with T2D.

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Objective: To review misinformation related to coronavirus disease 2019 (COVID-19) on social media during the first phase of the pandemic and to discuss ways of countering misinformation.

Methods: We searched PubMed®, Scopus, Embase®, PsycInfo and Google Scholar databases on 5 May 2020 and 1 June 2020 for publications related to COVID-19 and social media which dealt with misinformation and which were primary empirical studies. We followed the preferred reporting items for systematic reviews and meta-analyses and the guidelines for using a measurement tool to assess systematic reviews.

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The purpose of this study was to examine Internet trends data and sentiment in tweets mentioning autism, Asperger syndrome, and Greta Thunberg during 2019. We used mixed methods in analyzing sentiment and attitudes in viral tweets and collected 1074 viral tweets on autism that were published in 2019 (tweets that got more than 100 likes). The sample from Twitter was compared with search patterns on Google.

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The role of e-health is increasing worldwide. We surveyed the use of e-health in a large-scale population-based study, involving a representative sample of the Norwegian population aged above 40 years. Two-thirds of the health professionals had used search engines, apps, social media or video services for health purposes - while this was the case for approximately half of the non-health professionals.

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Care for patients with multimorbidity and long-term complex needs is costly and with demographic changes this group is growing. The research project Dignity Care addresses how to improve the care for this patient group by studying how a conceptual shared digital care plan for complex clinical pathways can guide and support cross-organisational care teams. This paper presents the user-centred design process for the digital care plan development.

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The health and well-being of informal caregivers often take a backseat to those that they care for. While systems, technologies, and services that provide care and support for those with chronic illnesses are established and continuously improved, those that support informal caregivers are less explored. An international survey about motivations to use mHealth technologies was posted to online platforms related to chronic illnesses.

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Intervention research is often highly controlled and does not reflect real-world situations. More pragmatic approaches, albeit less controllable and more challenging, offer the opportunity of identifying unexpected factors and connections. As the introduction of mHealth into formal diabetes care settings is relatively new and less often explored from the perspectives of patients and providers together, such an opportunity for exploration should be embraced.

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Introduction: Multiple sclerosis (MS) is one of the world's most common neurologic disorders. Social media have been proposed as a way to maintain and even increase social interaction for people with MS. The objective of this work is to identify and compare the topics on Twitter during the first wave of COVID-19 pandemic.

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How Artificial Intelligence for Healthcare Look Like in the Future?

Stud Health Technol Inform

May 2021

Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.

Research on artificial intelligence (AI) for healthcare gained interest in recent years. However, the use of AI in daily clinical practice is still rare. We created and distributed an online survey among professionals working within the health informatics field to explore their views.

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Diabetes self-management, an integral part of diabetes care, can be improved with the help of digital self-management tools such as apps, sensors, websites, and social media. The study objective was to reach a consensus on the criteria required to assess and recommend digital diabetes self-management tools targeting those with diabetes in Norway. Healthcare professionals working with diabetes care from all health regions in Norway were recruited to participate in a three-round Delphi study.

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Health-dedicated groups on social media provide different contents and social support to their peers. Our objective is to analyze users' engagement with health education and physical activity promotion posts according to the expressed social support and social media. All health education and physical activity promotion posts on Facebook, Twitter, and Instagram during 2017-2019 by a diabetes association were extracted.

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