How Participatory Health Informatics Catalyzes One Digital Health.

Objective: To identify links between Participatory Health Informatics (PHI) and the One Digital Health framework (ODH) and to show how PHI could be used as a catalyst or contributor to ODH.

Methods: We have analyzed the addressed topics within the ODH framework in previous IMIA Yearbook contributions from our working group during the last 10 years. We have matched main themes with the ODH's framework three perspectives (individual health and wellbeing, population and society, and ecosystem).

Social Media as an Effective Provider of Quality-Assured and Accurate Information to Increase Vaccine Rates: Systematic Review.

Background: Vaccination programs are instrumental in prolonging and improving people's lives by preventing diseases such as measles, diphtheria, tetanus, pertussis, and influenza from escalating into fatal epidemics. Despite the significant impact of these programs, a substantial number of individuals, including 20 million infants annually, lack sufficient access to vaccines. Therefore, it is imperative to raise awareness about vaccination programs.

Users' Experiences With Online Access to Electronic Health Records in Mental and Somatic Health Care: Cross-Sectional Study.

Background: Patient-accessible electronic health records (PAEHRs) hold promise for empowering patients, but their impact may vary between mental and somatic health care. Medical professionals and ethicists have expressed concerns about the potential challenges of PAEHRs for patients, especially those receiving mental health care.

Objective: This study aims to investigate variations in the experiences of online access to electronic health records (EHRs) among persons receiving mental and somatic health care, as well as to understand how these experiences and perceptions vary among those receiving mental health care at different levels of point of care.

Benchmarking usability of patient portals in Estonia, Finland, Norway, and Sweden.

Introduction: Poor usability is a barrier to widespread adoption of electronic health records (EHR). Providing good usability is especially challenging in the health care context, as there is a wide variety of patient users. Usability benchmarking is an approach for improving usability by evaluating and comparing the strength and weaknesses of systems.

Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project.

Background: Candidemia is associated with a heavy burden of morbidity and mortality in hospitalized patients. The availability of blood culture results could require up to 48-72 h after blood draw; thus, early treatment decisions are made in the absence of a definite diagnosis.

Methods: In this retrospective study, we assessed the performance of different supervised machine learning algorithms for the early differential diagnosis of candidemia and bacteremia in adult patients on a large dataset automatically extracted within the AUTO-CAND project.

A Trial-Based Cost-Utility Analysis of a Medication Optimization Intervention Versus Standard Care in Older Adults.

Background: Older adults are at greater risk of medication-related harm than younger adults. The Integrated Medication Management model is an interdisciplinary method aiming to optimize medication therapy and improve patient outcomes.

Objective: We aimed to investigate the cost effectiveness of a medication optimization intervention compared to standard care in acutely hospitalized older adults.

Suitability of issuing sickness certifications in remote consultations during the COVID-19 pandemic. A mixed method study of GPs' experiences.

Objective: To explore Norwegian GPs' experiences with and perceived suitability of issuing sickness certifications in remote consultations during the COVID-19 pandemic.

Design: We used a mixed methods research design. An online survey with 301 respondents was combined with qualitative interviews with ten GPs.

Privacy Concerns Related to Data Sharing for European Diabetes Devices.

Background: Individuals with diabetes rely on medical equipment (eg, continuous glucose monitoring (CGM), hybrid closed-loop systems) and mobile applications to manage their condition, providing valuable data to health care providers. Data sharing from this equipment is regulated via Terms of Service (ToS) and Privacy Policy documents. The introduction of the Medical Devices Regulation (MDR) and In Vitro Diagnostic Medical Devices Regulation (IVDR) in the European Union has established updated rules for medical devices, including software.

The NORDeHEALTH 2022 Patient Survey: Cross-Sectional Study of National Patient Portal Users in Norway, Sweden, Finland, and Estonia.

Background: Although many surveys have been conducted on patients accessing their own health records in recent years, there is a limited amount of nationwide cross-country data available on patients' views and preferences. To address this gap, an international survey of patient users was conducted in the Nordic eHealth project, NORDeHEALTH.

Objective: We aimed to investigate the sociodemographic characteristics and experiences of patients who accessed their electronic health records (EHRs) through national patient portals in Norway, Sweden, Finland, and Estonia.

Integration of migrant and refugee data in health information systems in Europe: advancing evidence, policy and practice.

Unlabelled: Coverage of migrant and refugee data is incomplete and of insufficient quality in European health information systems. This is not because we lack the knowledge or technology. Rather, it is due to various political factors at local, national and European levels, which hinder the implementation of existing knowledge and guidelines.

Errors, Omissions, and Offenses in the Health Record of Mental Health Care Patients: Results from a Nationwide Survey in Sweden.

Background: Previous research reports that patients with mental health conditions experience benefits, for example, increased empowerment and validation, from reading their patient-accessible electronic health records (PAEHRs). In mental health care (MHC), PAEHRs remain controversial, as health care professionals are concerned that patients may feel worried or offended by the content of the notes. Moreover, existing research has focused on specific mental health diagnoses, excluding the larger PAEHR userbase with experience in MHC.

Primary care gatekeeping during the COVID-19 pandemic: a survey of 1234 Norwegian regular GPs.

Background: In the Nordic healthcare systems, GPs regulate access to secondary health services as gatekeepers. Limited knowledge exists about the gatekeeper role of GPs during public health crises seen from the perspective of GPs.

Aim: To document GPs' gatekeeper role and organisational changes during the initial COVID-19 lockdown in Norway.

Assessing the Potential Risks of Digital Therapeutics (DTX): The DTX Risk Assessment Canvas.

Motivation: Digital therapeutics (DTX), i.e., health interventions that are provided through digital means, are increasingly available for use; in some countries, physicians can even prescribe selected DTX following a reimbursement by health insurances.

Personalized Digital Solutions for Mental Health.

Introduction: Mental health is one of the major global concerns in the field of healthcare. The emergence of digital solutions is proving to be a great aid for individuals suffering from mental health disorders. These solutions are particularly useful and effective when they are personalized.

Use of a Data-Sharing System During Diabetes Consultations.

Patient-gathered self-management data and shared decision-making are touted as the answer to improving an individual's health situation as well as collaboration between patients and their providers leading to more effective treatment plans. However, there is a gap between this ideal and reality - a lack of data-sharing technology. Here, we present the impact that the FullFlow System for sharing patient-gathered data during diabetes consultations, had on the patient-provider relationship and consultation discussion.

Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes.

Patients with type 1 diabetes must continually decide how much insulin to inject before each meal to maintain blood glucose levels within a healthy range. Recent research has worked on a solution for this burden, showing the potential of reinforcement learning as an emerging approach for the task of controlling blood glucose levels. In this paper, we test and evaluate several deep Q-learning algorithms for automated and personalized blood glucose regulation in an in silico type 1 diabetes patient with the goal of estimating and delivering proper insulin doses.

The battle for mental well-being in Ukraine: mental health crisis and economic aspects of mental health services in wartime.

The ongoing war in Ukraine is having profound impacts on both the local and global economy, as well as the infrastructure and overall well-being of the people. The prolonged duration of the conflict, coupled with its many related consequences such as total uncertainty, unfavorable economic conditions, and a distressing media backdrop, have a lasting impact on the mental health of the population. The ongoing war in Ukraine has exposed weaknesses in the national mental health care system and underscored the importance of mental health economics.

Designing personalised mHealth solutions: An overview.

Introduction: Mobile health, or mHealth, is based on mobile information and communication technologies and provides solutions for empowering individuals to participate in healthcare. Personalisation techniques have been used to increase user engagement and adherence to interventions delivered as mHealth solutions. This study aims to explore the current state of personalisation in mHealth, including its current trends and implementation.

Interest in using patient portals among adolescents in mental health care - a cross-sectional study.

Introduction: Adolescents in mental health care may benefit from using patient portals to access personalised information about their health and treatment. While no studies have considered the interest in using patient portals among adolescents in mental health care, factors such as patient activation, self-reported health, depressive symptoms, diagnosis, healthcare utilisation, and eHealth literacy have been found to be associated with interest in and use of patient portals in other patient groups. Therefore, the aim was to explore the associations between interest in using patient portals and patient activation, self-reported health, depressive symptoms, diagnosis, healthcare utilisation and eHealth literacy among adolescents in specialist mental health care.

Patients' Experiences of a National Patient Portal and Its Usability: Cross-Sectional Survey Study.

Background: Patient portals not only provide patients with access to electronic health records (EHRs) and other digital health services, such as prescription renewals, but they can also improve patients' self-management, engagement with health care professionals (HCPs), and care processes. However, these benefits depend on patients' willingness to use patient portals and, ultimately, their experiences with the usefulness and ease of use of the portals.

Objective: This study aimed to investigate the perceived usability of a national patient portal and the relationship of patients' very positive and very negative experiences with perceived usability.

A Review of Requirements for Information Models in Learning Health Systems.

Learning Health System (LHS) and integrated care are challenged due to a fragmented health data landscape. An information model is agnostic to the underlying data structures and can potentially contribute to mitigating some of the gaps. In a research project, Valkyrie, we are exploring how metadata can be organized and used to promote service coordination and interoperability across levels of care.

The Knowledge of Implementation Strategies: Impact of the Installed Base.

This study uses three case studies to investigate how the installed base affects Electronic Health Records (EHR) implementation in European hospitals: i) transition from paper-based records to EHRs; ii) replacement of an existing EHR with a similar system; and iii) replacing existing EHR system with a radically different one. Using a meta-analysis approach, the study employs the theoretical framework of Information Infrastructure (II) to analyze user satisfaction and resistance. Results show that the existing infrastructure and time factor significantly impact EHR outcomes.

Facilitating Interprofessional Collaboration on Electronic Medicines Management.

Medicines are important for well-being. Thus, medication errors can have severe consequences, even death. Transfers between professionals and levels of care are a challenge in terms of medicines management.

Information Models Properties in Learning Health Systems: A Literature Review.

Learning Health Systems (LHS) are challenged by fragmented health data. In Valkyrie, information models (IM) are explored as translators for the underlying, fragmented data structures and can potentially extend to support a future LHS. In this paper, a literature review was performed to search for property requirements for semantic interoperable IMs in the context of an LHS.

Patient safety and sense of security when telemonitoring chronic conditions at home: the views of patients and healthcare professionals - a qualitative study.

Background: Chronic diseases are increasing worldwide, and the complexity of disease management is putting new demands on safe healthcare. Telemonitoring technology has the potential to improve self-care management with the support of healthcare professionals for people with chronic diseases living at home. Patient safety threats related to telemonitoring and how they may affect patients' and healthcare professionals' sense of security need attention.