Reusable Generic Clinical Decision Support System Module for Immunization Recommendations in Resource-Constraint Settings.

Clinical decision support systems (CDSS) are routinely employed in clinical settings to improve quality of care, ensure patient safety, and deliver consistent medical care. However, rule-based CDSS, currently available, do not feature reusable rules. In this study, we present CDSS with reusable rules.

Towards Accountable E-Health Policies in the Nordic Countries.

The Nordic Countries are seen as forerunners in the field of digital health technologies and national implementation has been guided by sector specific strategies for many years. In the context of new European legislation such as the European Health Data Space (EHDS), a review of the existing strategies is indicated. The objective of this policy analysis is to assess and compare the scope, ambitions and extent of accountability in national-level digital health policies in the Nordic countries.

Nordic Citizens' Willingness to Share Digital Health Data.

The quality of the digital healthcare systems relies on citizens' willingness to share their digital health data. This makes citizens' use, perceptions, and attitudes towards digital healthcare systems pivotal. The study presented here examines Nordic citizens' willingness to share digital health data with healthcare providers and for research purposes.

Active Learning Pipeline to Identify Candidate Terms for a CDSS Ontology.

Ontology is essential for achieving health information and information technology application interoperability in the biomedical fields and beyond. Traditionally, ontology construction is carried out manually by human domain experts (HDE). Here, we explore an active learning approach to automatically identify candidate terms from publications, with manual verification later as a part of a deep learning model training and learning process.

A Model for Context-Sensitive Digital Integrators.

The realization of benefits from health information technology (HIT) implementation takes place in the long tail of implementation that must integrate technology, work practices and contextual factors. While formal health informatics education programs exist, they tend to be focused at the strategic management or specialized implementation level. HIT support at the local level often falls to clinical care staff that have little or no formal training in HIT implementation.

National Trial Overview: Towards Accessible and Patient-Centered Healthcare.

This protocol paper explores the initiative to build and implement a National Trial Overview to make clinical trials more accessible to patients and health professionals in Denmark. The paper address how a user-centered evaluation of the platform will be conducted and how the National Trial Overview can contribute to enhancing diversity, equity, and inclusion of patients and health professionals, and make access to clinical trials more patient-centered.

Citizens' Access to Online Health Information - An International Survey of IMIA Member Countries.

Citizens' access to their online health information is pivotal. Therefore, this study examines citizens' access to their online health information across countries and healthcare settings. The study is based on a survey design targeting the 98 IMIA representatives of the national societies.

Citizens Access to Health Information in National Portals in the Nordic Countries.

National eHealth portals for citizens are available in the five Nordic countries. This study describes and compares the Nordic citizen portals and identifies variations in content access and functionality. The findings suggest that availability of information and services depend on the organisation of the health system, the connection to national health information exchange platforms and incentives for providing data and services.

One Health: Insights from Organizational & Social, Technology Assessment and Human Factors Perspectives.

Objectives: To offer diverse but complementary perspectives on how biomedical and health informatics can be informed by and help to achieve the vision of One Health.

Methods: Overview of key considerations and critical discussion of common themes, barriers and opportunities, based on collaborative review by International Medical Informatics Association (IMIA) working group members active in related fields.

Results: Health and care systems are complex sociotechnical systems that need explicit design and implementation strategies to align with the goals of One Health.

Equity in digital healthcare - the case of Denmark.

As digital healthcare services are expanding in use and purpose in a Danish context so are the functionalities embedded in these, constituting citizens' access to healthcare services and personal health data. In Denmark, the impact of inequalities in digital healthcare remains largely unexplored, making it crucial to pay close attention to this aspect as the digital transformation of the sector progresses. According to the Danish Health Act (2019), the Danish healthcare system is required to ensure easy and equal access to healthcare, high-quality treatment, coherent patient pathways, freedom of choice, easy access to information, transparency, and short waiting times for every citizen.

Decentralized Clinical Trials: Potentials for Equity in Digital Health.

The COVID-19 pandemic has rapidly increased the possibilities for conducting Decentralized Clinical Trials (DCT). This paper addresses the potential for conducting DCT in Denmark and discusses how this potential can improve equity in digital healthcare. From stakeholder interviews, we learned that DCT has the potential to be implemented, as DCT guidelines are in place in Denmark.

Differential Perceptions of What Constitutes a Medical Error Associated with Electronic Medical Records.

Perceptions of errors associated with healthcare information technology (HIT) often depend on the context and position of the viewer. HIT vendors posit very different causes of errors than clinicians, implementation teams, or IT staff. Even within the same hospital, members of departments and services often implicate other departments.

Keyphrase Identification Using Minimal Labeled Data with Hierarchical Contexts and Transfer Learning.

Background: Interoperable clinical decision support system (CDSS) rules provide a pathway to interoperability, a well-recognized challenge in health information technology. Building an ontology facilitates creating interoperable CDSS rules, which can be achieved by identifying the keyphrases (KP) from the existing literature. Ontology construction is traditionally a manual effort by human domain experts, and the newly advanced natural language processing techniques, such as KP identification, can be a critical complementary automatic part of building ontology.

Perceptions of Learning Activities in Electronic Health Record Transition.

Learning activities are at the front-line of first impressions. In this paper, the education and training program for a large electronic health record transition project is presented. Management, and staff were interviewed before, during, and after implementation on their perception, reception, and benefit of various learning activities.

The Inverse Data Law: Market Imperatives, Data, and Quality in AI Supported Care.

Over the last decade, the explosion of "Big Data" and its fusion with AI has led many to believe that the development and integration of AI systems in healthcare will usher in a transformative revolution that democratises access to high quality healthcare and collectively improve patient outcomes. However, the nature of market forces in the evolving data economy, has started to show evidence that the opposite is more likely to be true. This paper argues that there is a poorly understood "Inverse Data Law" that will exacerbate the widening health divide between affluent and marginalised communities because: (1) data used to train AI systems favour individuals that are already engaged with healthcare, who have the lowest burden of disease, but the highest purchasing power; and (2) data used to drive market decisions around investment in AI health technology favours tools that increase the commodification of healthcare through over-testing, over-diagnosis, and the acute and episodic management of disease, over tools that support the patient to prevent disease.

Ontologies Applied in Clinical Decision Support System Rules: Systematic Review.

Background: Clinical decision support systems (CDSSs) are important for the quality and safety of health care delivery. Although CDSS rules guide CDSS behavior, they are not routinely shared and reused.

Objective: Ontologies have the potential to promote the reuse of CDSS rules.

The Last Mile Problem and Beyond in HIT - The Role of Context-Sensitive Digital Integrators.

Issues of non-use of available health information technology (HIT) have been referred to as the 'last mile problem' impeding harnessing the full potential of HIT. We reflect upon which competencies are needed to address the last mile problem by ensuring a context-sensitive implementation. We argue that there is a need for context-sensitive digital integrators, who can navigate the realm where technological systems meet practice.

Hidden in Plain Sight: Overlooked Results and Other Errors in Evaluating Online Laboratory Results.

People are increasingly accessing their own laboratory (lab) results online. However, Canadians may be expected to use different systems to access their results, depending upon where they are tested (e.g.

A Systematic Approach to Configuring MetaMap for Optimal Performance.

Background: MetaMap is a valuable tool for processing biomedical texts to identify concepts. Although MetaMap is highly configurative, configuration decisions are not straightforward.

Objective: To develop a systematic, data-driven methodology for configuring MetaMap for optimal performance.

AI Diagnostic Technologies and the Gap in Colorectal Cancer Screening Participation.

AI augmented clinical diagnostic tools are the latest research focus in colorectal cancer (CRC) detection. While the opportunity presented by AI-enhanced CRC diagnosis is sound, this paper highlights how its effectiveness with respect to reducing CRC-related mortality and enhancing patient outcomes may be limited by the fact that patient participation remains extremely low globally. This paper builds a foundation to consider how human factors tend to contribute to low participation rates and suggests that a more nuanced socio-technical approach to the development, implementation and evaluation of AI systems that is sensitive to the psycho-social and cultural dimension of CRC may lead to tools that increase screening uptake.

The Importance of Contextual Understanding in Solving the Last Mile Problem.

The COVID-19 pandemic has disrupted many global industries and shifted the digital health landscape by stimulating and accelerating the delivery of digital care. It has emphasized the need for a system level informatics implementation that supports the healthcare management of populations at a macro level while also providing the necessary support for front line care delivery at a micro level. From data dashboard to Telemedicine, this crisis has necessitated the need for health informatics transformation that can bridge time and space to provide timely care.

User Perception of Automated Dose Dispensed Medicine in Home Care: A Scoping Review.

(1) Background: Automated dose dispensing (ADD) systems are today used around the world. The ADD robots are placed in patients' homes to increase medication safety as well as medication adherence; however, little is known about how ADD robots affect the patient's day-to-day lives, receiving the daily doses of medicine from a machine rather than from a human healthcare professional. The aim of this study is to review the available literature on users' perceptions of having an ADD robot and collect evidence on how they perceive having less human contact after implementing this technology in their homes.

Advances in E-Health.

E-health offers new ways to access health information, to deliver health and social care and to perform self-management [...

A Simple Assessment of Information Security Awareness in Hospital Staff Across Five Danish Regions.

Information Security Awareness among employees in healthcare has become an essential part in safeguarding health information systems against cyber-attacks and data breaches. We present three simple security awareness questions that can be included in larger surveys gauging other aspects of information systems. The questions have been tested in a national Danish survey to evaluate correlations among medical profession, computer proficiency, experience, and place of employment.