Leveraging Transformers-based models and linked data for deep phenotyping in radiology.

Background And Objective: Despite significant investments in the normalization and the standardization of Electronic Health Records (EHRs), free text is still the rule rather than the exception in clinical notes. The use of free text has implications in data reuse methods used for supporting clinical research since the query mechanisms used in cohort definition and patient matching are mainly based on structured data and clinical terminologies. This study aims to develop a method for the secondary use of clinical text by: (a) using Natural Language Processing (NLP) for tagging clinical notes with biomedical terminology; and (b) designing an ontology that maps and classifies all the identified tags to various terminologies and allows for running phenotyping queries.

Patients' Use of e-Consultations as an Alternative to Other General Practitioner Services: Cross-Sectional Survey Study.

Background: e-Consultations, defined as asynchronous text-based messaging, have transformed how patients interact with their general practitioner (GP). While e-consultations can improve patient access to GP care, concerns about increased workload for GPs are raised.

Objective: This study aimed to address three research questions: (1) For what purpose and with what expectations do patients initiate e-consultations? (2) If e-consultations had not been available, what alternative actions would the patient have taken? and (3) How are the alternative actions associated with patient and e-consultation characteristics?

Methods: A cross-sectional study was conducted through a web-based survey on Helsenorge.

Patients' suggestions for improvements to text-based e-consultations. An online survey of users of the national health portal in Norway.

Background: In recent years, text-based e-consultations have been widely implemented in general practice and are appreciated by patients for their convenience and efficiency. Policymakers aim to enhance patient access to clinical services with the general practitioner (GP) through text-based e-consultations. However, concerns are raised about their efficiency and security.

Investigating the Norwegian eHealth Governance Model: Document Study.

Background: Governments and policy makers struggle to achieve a balance between hierarchical steering and horizontal governance in systems characterized by fragmented decision authority and multiple interests. To realize its One Citizen-One Journal eHealth policy vision, the Norwegian government established a special eHealth board of stakeholders to create an inclusive governance model that aligned stakeholders' interests with the government's ambitions through coordination and consensus. Little empirical knowledge exists on how countries realize inclusive governance models.

The ethical aspects of integrating sentiment and emotion analysis in chatbots for depression intervention.

Introduction: Digital health interventions specifically those realized as chatbots are increasingly available for mental health. They include technologies based on artificial intelligence that assess user's sentiment and emotions for the purpose of responding in an empathetic way, or for treatment purposes, e.g.

The Implementation Process Assessment Tool: translation, contextualization, and psychometric evaluation of a Swedish version in a municipal elderly care context.

Background: The number of older adults with complex healthcare needs is growing alongside limited resources available in health services. To meet this challenge, it is urgent that healthcare staff are motivated and able to continuously translate new knowledge and working methods into daily practice. To facilitate such implementation, supportive measures responding to the healthcare personnel's needs seem essential.

Healthcare professionals' cross-organizational access to electronic health records: A scoping review.

Background: Cross-organizational access to shared electronic health records can enhance integrated, people-centered health services. However, a gap remains between these potential benefits and the limited support currently offered by electronic health records. The Valkyrie research project aims to bridge this gap by developing a technical prototype of an architecture to promote healthcare service coordination.

A Combined Telemedicine and Ambulatory Wound Care Team Intervention for Improving Cross-Sector Outpatient Chronic Wound Management: Protocol for the Mixed Methods TELE-AMBUS Research Project.

Background: There is a growing prevalence of nonhealing wounds and chronic diseases in society, and there is an associated need for wound management solutions that include the use of telemedicine. A broad spectrum of factors influences the planning and execution of interventions within telemedicine in chronic wound management, spanning organizations, technologies, and individuals, including professionals and patients. The Telemedicine and Ambulatory Wound Care Team (TELE-AMBUS) project applies a whole-system research approach to account for this spectrum of factors.

Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability.

Background: Cutaneous melanoma is the most aggressive form of skin cancer, responsible for most skin cancer-related deaths. Recent advances in artificial intelligence, jointly with the availability of public dermoscopy image datasets, have allowed to assist dermatologists in melanoma identification. While image feature extraction holds potential for melanoma detection, it often leads to high-dimensional data.

Affordance trajectories and the usefulness of online records access among older adults in Sweden.

Objective: The current understanding of the breadth of individual differences in how eHealth technologies are perceived as useful for different purposes is incomprehensive. The aim/purpose of the study is to improve the understanding of diverse perceptions of the usefulness of technologies by exploring older adults' use of their patient-accessible electronic health records (PAEHRs).

Methods: The study applies and extends Affordance Theory based on an empirical analysis of data from the NORDeHEALTH 2022 Patient Survey on attitudes toward PAEHR in Norway, Sweden, Finland, and Estonia.

Identifying and presenting key country-specific indicators related to medication adherence: a comprehensive study across European countries.

This study tackles the critical challenge of medication non-adherence in healthcare by pinpointing indicators related to medication adherence (IRMAs) across 39 European countries and Israel. Utilizing a structured expert survey methodology within the European Network to Advance Best Practices and Technology on Medication Adherence (ENABLE; COST Action CA19132), our research identified key country-specific IRMAs and collected data on these indicators to understand the multifaceted nature of medication adherence. The research was conducted in two phases: firstly, defining key IRMAs through a two-round expert survey, and secondly, gathering country-specific data on these IRMAs through literature reviews and additional expert surveys.

A systematic review and proposed framework for sustainable learning healthcare systems.

Background: The healthcare sector is a complex domain that faces challenges in effectively learning from practices and outcome data. The Learning Health System (LHS) has emerged as a potential framework to improve healthcare by promoting continuous learning. However, its adoption remains limited, often involving only a single clinical department or a part of the LHS cycle.

Flipping healthcare by including the patient perspective in integrated care pathway design: A scoping review.

Background: Despite the recognized benefits of integrating patient perspectives into healthcare design and clinical decision support, theoretical approaches and standardized methods are lacking. Various strategies, such as developing pathways, have evolved to address these challenges. Previous research emphasized the need for a framework for care pathways that includes theoretical principles, extensive user involvement, and data from electronic health records to bridge the gap between different fields and disciplines.

Telerehabilitation Compared to Center-based Pulmonary Rehabilitation for People with Chronic Respiratory Disease: Economic Analysis of a Randomized, Controlled Clinical Trial.

Rationale: New pulmonary rehabilitation models can improve access to this effective but underutilised treatment for people with chronic respiratory disease, however cost effectiveness has not been determined.

Objective: To compare the cost effectiveness of telerehabilitation, including videoconferencing and synchronous supervision, to standard center-based pulmonary rehabilitation.

Methods: Prospective economic analyses were undertaken from a societal perspective alongside a randomised controlled equivalence trial in which adults with stable chronic respiratory disease undertook an 8-week outpatient center-based program or telerehabilitation.

Exploring Pain Reduction through Physical Activity: A Case Study of Seven Fibromyalgia Patients.

Fibromyalgia is a chronic disease that affects a considerable fraction of the global population, primarily women. Physical activity is often recommended as a tool to manage the symptoms. In this study, we tried to replicate a positive result of pain reduction through physical activity.

Sociotechnical Cross-Country Analysis of Contextual Factors That Impact Patients' Access to Electronic Health Records in 4 European Countries: Framework Evaluation Study.

Background: The NORDeHEALTH project studies patient-accessible electronic health records (PAEHRs) in Estonia, Finland, Norway, and Sweden. Such country comparisons require an analysis of the sociotechnical context of these services. Although sociotechnical analyses of PAEHR services have been carried out in the past, a framework specifically tailored to in-depth cross-country analysis has not been developed.

Security and Privacy in Physical Activity Chatbots on Social Media: A Scoping Review.

Background And Objective: Social media physical activity chatbots use both chatbots and social media platforms for physical activity promotion and, thus, could face privacy and security challenges inherent in both technologies. This study aims to provide an overview of physical activity chatbot interventions delivered via social media platforms, specifically focusing on security and privacy measures.

Methods: We conducted a scoping review on this topic across 4 databases: PubMed, PsycINFO, ACM Digital Library, and IEEE Xplore.

Understanding Emotional Dynamics in Autism Social Media Communities.

Unlabelled: Searches for autism on social media have soared, making it a top topic. Social media posts convey not only plain text, but also sentiments and emotions that provide insight into the experiences of the autism community. While sentiment analysis categorizes overall sentiment, emotion analysis provides nuanced insights into specific emotional states.

TikTok and YouTube Shorts by Autistic Individuals for Increasing Autism Awareness.

Introduction: Autistic individuals, parents, organizations, and healthcare systems worldwide are actively sharing content aimed at increasing awareness about autism. This study aims at analyzing the type of contents presented in TikTok and YouTube Shorts videos under the hashtag #actuallyautistic and their potential to increase autism awareness.

Methods: A sample of 60 videos were downloaded and analyzed (n=30 from TikTok and n=30 from YouTube Shorts).

Enabling AI in Radiology: Evaluation of an AI Deployment Process.

Artificial intelligence (AI) is expected to transform healthcare systems and make them more sustainable. Despite the increased availability of AI tools for disease detection, evidence of their impact on healthcare organisations and patient care remains limited. Drawing on previous research underscoring the need for comprehensive evaluations of real-world AI deployments, this paper explores the challenges and opportunities encountered while procuring and implementing AI solutions for radiology.

Using One App Only - Collecting a Comprehensive Set of Health-Related Data for Prevention of Chronic Conditions.

This paper presents the design, implementation and early tests of an app that collects a comprehensive set of health-related data, as part of the EU-project WARIFA. To achieve the main aim of the project - using AI to prevent chronic conditions - a wide range of data needs to be collected and stored at a backend server for processing. The methods and elements for creating this system are presented, as well as results from the co-creation process and early user-tests.

The Tromsø Study: Lessons Learnt About Searching for Information About Health and Illness.

Introduction: Norway has a high use of e-health.

Methods: This paper summarizes and discusses the published data from the Tromsø 7 Study, conducted between 2015 and 2016, focusing on e-health utilization in the Norwegian population aged 40 and above.

Results: More than half of the participants reported using the Internet for health purposes.

Federated Electronic Health Records Using a Blockchain.

The Valkyrie project aims to develop a demonstration Federated Electronic Health Record for the use of mental health practitioners in Norway. Information for the record is drawn from existing records in Source Systems operating across primary and secondary care. Recording of information in any such system, in response to a healthcare event, triggers the generation of an Encrypted Token, containing summary metadata about the event, clinical coding indicating its clinical context and a locator that can be used to retrieve the full record of the event from the original Source System.

Patient Input into the Electronic Health Record: Co-Designing Solutions with Patients and Healthcare Professionals.

Patient-generated health data (PGHD) is the person's health-related data collected outside the clinical environment. Integrating this data into the electronic health record (EHR) supports better patient-provider communication and shared decision-making, empowering patients to actively manage their health conditions. In this study, we investigated the essential features needed for patients and healthcare providers to effectively integrate PGHD functionality into the EHR system.