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Background: In Norway, as in other countries, national eHealth systems, such as the Summary Care Record (SCR), have been implemented to improve the collaboration around patients by sharing patient information between health professionals across healthcare institutions and administrative levels. Although widely implemented across the health and care services in Norway, evaluations of the SCR indicate less use than expected. There is a need for analysis that lays out the visions and expectations of the SCR and contrasts these with detailed observations of use in everyday health professional work. This study adds to the eHealth research field by exploring this reality. Method: This paper has a qualitative design with an ethnographic approach, including participant observation, qualitative interviews, and a document review. Qualitative individual interviews with 22 health professionals and six weeks of participant observation were conducted, and eight documents were reviewed. The field notes and the interview-transcriptions were analyzed following a stepwise-deductive induction analysis. Results: The document review identified the expectations and visions of the SCR, including an underlying assumption of trust in shared patient information. However, this assumption is implicit and not recognized as a crucial element for success in the documents. In our observation and interview data, we found that health professionals do not necessarily trust information in the SCR. In fact, several procedures and routines to assess the trustworthiness of SCR information were identified that complicate and disturb the expected use. In our analysis, two main themes characterize the health professionals' handling of the SCR: adapting to workflow and dealing with uncertainty. Conclusion: Our study illustrates that unconditional trust in shared patient information is an implicit assumption in SCR policy documents, but in their everyday work health professionals do not necessarily unconditionally trust shared patient information. Rather, sharing patient information through technology, such as the SCR, requires of health professionals to critically assess the digital information. The information in the SCR, as all sources of information presented to health professionals, becomes an item for their constant trust-work. Our study is of value to policymakers, health information systems developers, and the field of practice both nationally and internationally. [ABSTRACT FROM AUTHOR]

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. We introduce the overall architecture of the active learning pipeline and present some preliminary results. This work is a critical and complementary component in addition to manually building the ontology, especially during the long-term maintenance stage. [ABSTRACT FROM AUTHOR]

Background: The road to a more sustainable healthcare system includes creating a digital interface to the healthcare system that patients can use to engage in their health problems while outside the consultation room. The aim of the study was to evaluate trends in the use of functions in a patient portal and assess which functions were most likely to contribute to sustainable healthcare. Study design: Open, uncontrolled retrospective analysis of citizens’ use of the patient portal. Methods: Extraction and statistical analysis of log data. Results: Log analysis revealed that patients engaged with the patient portal to make appointments, fill out and submit questionnaires, send messages to their care provider, inspect their laboratory results, and view notes about themselves. The functions that displayed a significantly increasing trend were the number of appointments made, the number of messages sent, and the number of checked test results. Discussion: While portal engagement can reduce patient dependency on healthcare services, external factors also influence this outcome. Further research is needed to investigate which functions support healthcare sustainability and enhance patient empowerment, possibly through other study designs. [ABSTRACT FROM AUTHOR]

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. The scope of the policies from the five countries were largely centred around a) empowering and activating citizens; b) a shift towards prevention and digital first; c) supporting health operations; d) doing the groundwork; e) making health data more available in research and innovation workflows and f) supporting health personnel. Finland comes out as the most ambitious country with the aim to transform their health system by means of digitalisation. Both Finland and Iceland work towards prevention and the digital first ambition due to large populations in rural areas. These two countries also present the most accountable policies, meaning that their policy documents are the most transparent as to how they arrived at the conclusions and how they are to evaluate the achievements. [ABSTRACT FROM AUTHOR]

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. A cross-sectional study design was applied to obtain answers from citizens in Denmark, Finland, Iceland, Norway, and Sweden. The results are based on answers from 5078 citizens across the five countries. Results based on descriptive statistics indicate that the majority of Nordic citizens are willing to share health data that has clinical relevance with healthcare providers and for research purposes. The odds ratio analysis reveals that citizens’ odds of sharing health data decreases with age and increases with the level of education. Conclusively, this study shows that most Nordic citizens are willing to share their health data, influenced by age and level of education. Awareness of and efforts to support citizens who are unable or unwilling to actively use and engage with the digital healthcare system is recommended. [ABSTRACT FROM AUTHOR]

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. We introduce the overall architecture of the active learning pipeline and present some preliminary results. This work is a critical and complementary component in addition to manually building the ontology, especially during the long-term maintenance stage.