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The study aims to analyze the previous literature on government initiatives to implement health information systems (HISs).

Proknow-C (Knowledge Development Process-Constructivist) was used in the selection of the literature and in the bibliometric and systematic analysis.

The research identified a portfolio composed of 33 articles aligned with the research theme and with scientific recognition, as well as periodicals, authors, papers and keywords that stood out the most. Amongst the government initiatives in the 24 identified countries, England has been the most studied nation, and there is a certain prominence of research arising from developed countries. Electronic health records (EHRs) have been the most explored technology. Efficiency and safety of health care delivery, integration of information and among health organizations, cost reduction and economicity are the most expected benefits from government programs. The difficulties found are related to the broader context in which the system is inserted, to the management of the program, to technology itself and to individuals. The most emphasized difficulties identified in most countries were previous context marked by a lack of standardization/interoperability, acceptance of providers and users and project financing. The findings of the present article provide a theoretical framework for future studies, in addition to yielding a replicable process for future use.

This research may be considered original as it analyzes – through a constructivism-structured process (Proknow-C) – the phenomenon under investigation by gathering bibliometric and systematic review data concomitantly. The countries and technologies reported emerge from the process itself.

Promoting health literacy, i.e. the ability to access, collect, understand and use health-related information, is high on the health policy agenda across the world. The digitization of health-care calls for a reframing of health literacy in the cyber-physical environment. The article systematizes current scientific knowledge about digital health literacy and investigates the role of health-care organizations in delivering health literate health-care services in a digital environment.

A literature review was accomplished. A targeted query to collect relevant scientific contributions was run on PubMed, Scopus and Web of Science. A narrative approach was undertaken to summarize the study findings and to envision avenues for further development in the field of digital health literacy.

Digital health literacy has peculiar attributes as compared with health literacy. Patients may suffer from a lack of human touch when they access health services in the digital environment. This may impair their ability to collect health information and to appropriately use it to co-create value and to co-produce health promotion and risk prevention services. Health-care organizations should strive for increasing the patients’ ability to navigate the digital health-care environment and boosting the latter’s value co-creation capability.

Tailored solutions should be designed to promote digital health literacy at the individual and organizational level. On the one hand, attention should be paid to the patients’ special digital information needs and to avoid flaws in their ability to contribute to health services’ co-production. On the other hand, health-care organizations should be involved in the design of user-friendly e-health solutions, which aim at engaging patients in value co-creation.

This contribution is a first attempt to systematize extant scientific knowledge in the field of digital health literacy specifically focused on the strategies and initiatives that health-care organizations may take to address the limited digital health literacy pandemic.

This research paper aims to delve into the perceptions of health susceptibility among Iranian, Afghan and Tajik individuals hailing from asylum-seeking or refused asylum-seeking backgrounds currently residing in Finland, Norway and Sweden.

Semi-structured interviews were conducted between May and October 2022 involving a sample size of 27 participants. An adapted framework based on the health belief model along with previous studies served as a guide for formulating interview questions.

Notably influenced by cultural background, religious beliefs, psychological states and past traumatic experiences during migration journeys – before arrival in these countries till settling down – subjects’ perception of health concerns emerged significantly shaped. Additionally impacting perspectives were social standing, occupational status, personal/family medical history, lifestyle choices and dietary preferences nurtured over time, leading to varying degrees of influence upon individuals’ interpretation about their own wellness or illness.

Insights garnered throughout the authors’ analysis hold paramount significance when it comes to developing targeted strategies catering culturally sensitive health-care provisions, alongside framing policies better aligned with primary care services tailored explicitly around singular demands posed by these specific communities dwelling within respective territories.

This investigation represents one among few pioneering initiatives assessing perceptions regarding both physical and mental well-being within minority groups under examination across Nordic nations, unveiling complexities arising through intersecting factors like individual attributes mingling intricately with socio-cultural environments, thereby forming unique viewpoints towards health-care belief systems prevalent among such population segments.

Data from a national patient survey (N = 1,155) of the Swedish PAEHR “Journalen” users were analysed, and an extended version of the theory of technological frames was developed to explain the variation in the technological and informational framing of information technologies found in the data.

Patient Accessible Electronic Health Records (PAEHRs) are implemented globally to address challenges with an ageing population. However, firstly, little is known about age-related variation in PAEHR use, and secondly, user perceptions of the PAEHR technology and the health record information and how the technology and information–related perceptions are linked to each other. The purpose of this study is to investigate these two under-studied aspects of PAEHRs and propose a framework based on the theory of technological frames to support studying the second aspect, i.e. the interplay of information and technology–related perceptions.

The results suggest that younger respondents were more likely to be interested in PAEHR contents for general interest. However, they did not value online access to the information as high as older ones. Older respondents were instead inclined to use medical records information to understand their health condition, prepare for visits, become involved in their own healthcare and think that technology has a much potential. Moreover, the oldest respondents were more likely to consider the information in PAEHRs useful and aimed for them but to experience the technology as inherently difficult to use.

The sample excludes non-users and is not a representative sample of the population of Sweden. However, although the data contain an unknown bias, there are no specific reasons to believe that it would differently affect the survey's age groups.

Age should be taken into account as a key factor that influences perceptions of the usefulness of PAEHRs. It is also crucial to consider separately patients' views of PAEHRs as a technology and of the information contained in the EHR when developing and evaluating existing and future systems and information provision for patients.

This study contributes to bridging the gap between information behaviour and systems design research by showing how the theory of technological frames complemented with parallel informational frames to provide a potentially powerful framework for elucidating distinct conceptualisations of (information) technologies and the information they mediate. The empirical findings show how information and information technology needs relating to PAEHRs vary according to age. In contrast to the assumptions in much of the earlier work, they need to be addressed separately.

Few earlier studies focus on (1) age-related variation in PAEHR use and (2) user perceptions of the PAEHR technology and the health record information and how the technology and information–related perceptions are linked to each other.

Quantifying the performance level of surgeons with digital virtual reality (VR) simulators can help ensure that quality requirements in healthcare are met. In order to better understand integration amongst quality principles, practices and technologies in the adoption and diffusion of VR simulators, the authors applied a technological innovation system (TIS) framework. The purpose of this study is to understand how the adoption and diffusion of VR surgical simulators in a Swedish healthcare context is influenced by various system factors.

In this study, single-case holistic design based on innovation system theory was used to analyse the adoption of digital quality technologies related to surgical performance in Swedish hospitals. The case employs a mixed methods approach triangulating data longitudinally from published documents and expert interviews.

Adoption of digital technologies regarding surgical performance is restricted by system factors relating to inconsistent normative and regulatory requirements for quantified performance criteria to judge surgical expertise. Addressing these systems' weaknesses with evidence-based training programmes can have a significant impact on the further development of the innovation system and can ultimately affect healthcare reliability and quality.

This paper explores quality management (QM) challenges in the context of digital transformation in healthcare. The paper attempts to fill the gap for TIS studies in a healthcare context and highlight the role of innovation function strength along the value chain and in relation to technology cycles to increase the understanding of adoption of digital technologies relating to surgical performance.

Healthcare environments are highly complex and full of variation and inefficiency. However, variation and inefficiency can be measured and improved, providing better quality care at a lower cost. This study aims to report the application of Lean Six Sigma (LSS) in a haematology laboratory in a university hospital in Egypt.

The authors used case study research. Applying the define, measure, analyse, improve and control phases of the DMAIC methodology together with lean tools, the problem was identified, the process mapped, the causes analysed and improvements implemented.

Results show that LSS can be successfully implemented in challenging public sector healthcare settings. Management commitment, generating and implementing ideas from frontline staff, using a variety of quality tools and previous LSS training were all key to success. This is evidence that the LSS methodology is adaptable to any process, people or place.

There are no publications on LSS implementation in health care in Egypt. This study demonstrates the successful use of LSS in a university hospital (public sector) in a developing country, sharing insight into the facilitators and barriers in a real context with others in the healthcare field.

The primary purpose of this paper is to identify the so-called core authors and their publications according to pre-defined criteria and thereby direct the users to the fastest and easiest way to get a picture of the otherwise pervasive field of bankruptcy prediction models. The authors aim to present state-of-the-art bankruptcy prediction models assembled by the field's core authors and critically examine the approaches and methods adopted.

The authors conducted a literature search in November 2022 through scientific databases Scopus, ScienceDirect and the Web of Science, focussing on a publication period from 2010 to 2022. The database search query was formulated as “Bankruptcy Prediction” and “Model or Tool”. However, the authors intentionally did not specify any model or tool to make the search non-discriminatory. The authors reviewed over 7,300 articles.

This paper has addressed the research questions: (1) What are the most important publications of the core authors in terms of the target country, size of the sample, sector of the economy and specialization in SME? (2) What are the most used methods for deriving or adjusting models appearing in the articles of the core authors? (3) To what extent do the core authors include accounting-based variables, non-financial or macroeconomic indicators, in their prediction models? Despite the advantages of new-age methods, based on the information in the articles analyzed, it can be deduced that conventional methods will continue to be beneficial, mainly due to the higher degree of ease of use and the transferability of the derived model.

The authors identify several gaps in the literature which this research does not address but could be the focus of future research.

The authors provide practitioners and academics with an extract from a wide range of studies, available in scientific databases, on bankruptcy prediction models or tools, resulting in a large number of records being reviewed. This research will interest shareholders, corporations, and financial institutions interested in models of financial distress prediction or bankruptcy prediction to help identify troubled firms in the early stages of distress.

Bankruptcy is a major concern for society in general, especially in today's economic environment. Therefore, being able to predict possible business failure at an early stage will give an organization time to address the issue and maybe avoid bankruptcy.

To the authors' knowledge, this is the first paper to identify the core authors in the bankruptcy prediction model and methods field. The primary value of the study is the current overview and analysis of the theoretical and practical development of knowledge in this field in the form of the construction of new models using classical or new-age methods. Also, the paper adds value by critically examining existing models and their modifications, including a discussion of the benefits of non-accounting variables usage.

Information and communication technologies can transform how services can be and are delivered as has already happened in other arenas, such as civil aviation, financial services and retailing. Most modern health care is heavily dependent on e-health, including record keeping, targeted information sharing and digital diagnostic and imaging techniques. However, there remains little scientific knowledge base for optimal system content and function in primary health care, particularly for children. Models of Child Health Appraised (MOCHA) aimed to establish the current e-health situation in children’s primary care services. Electronic health records (EHRs) are in regular use in much of northern and western Europe and in some newer European Union Member States, but other countries lag behind. MOCHA investigated the use of unique identifiers, the use of case-based public health EHRs and the capability of record linkage, linkage of information with school health data and monitoring of social media influences, such as health websites and health apps. A widespread lack of standards underlined a lack of research enquiry into this issue in terms of children’s health data and health knowledge. Health websites and apps are a growing area of healthcare delivery, but there is a worrying lack of safeguards in place. The challenge for policy-makers and practitioners is to be aware and to lead on the innovative harnessing of new technologies, while protecting child users against new harms.

The purpose of this study is to describe primary health-care managers’ perceptions of management competencies at different management levels in digital health services using the management competency assessment program as a framework.

A secondary analysis study involving 21 semi-structured individual interviews was conducted among Finnish primary health-care managers at different management levels (frontline, middle and senior). The deductive framework method was used to analyze the data.

Similarities and differences were found in management competencies between different levels of management. Competencies related to the use of digitalization were highlighted by managers at all management levels. Managers at all management levels were involved in developing digital solutions and supporting employees in using digital solutions in their work. Frontline and middle managers emphasized more issues related to day-to-day management and communication with employees, whereas senior managers highlighted the management of large entities.

In the secondary analysis, data were used for purposes other than originally intended. Therefore, the data are subject to limitations of the methodology applied and should be transferred to other contexts with caution.

Identifying the management competencies needed to manage digital health services is important to target managers’ training according to needs in the future.

The results could be used to develop the management of digital health services, as well as improve digital health services and their deployment.

Previous literature mostly examined managers’ informatics competencies and paid little attention to other management competencies. This study discusses more broadly the management competencies that digital health services require from managers at different levels of management.

The purpose of this paper is to develop a new method to extract medical temporal information from online health communities.

The authors trained a conditional random-filed model for the extraction of temporal expressions. The temporal relation identification is considered as a classification task and several support vector machine classifiers are built in the proposed method. For the model training, the authors extracted some high-level semantic features including co-reference relationship of medical concepts and the semantic similarity among words.

For the extraction of TIMEX, the authors find that well-formatted expressions are easy to recognize, and the main challenge is the relative TIMEX such as “three days after onset”. It also shows the same difficulty for normalization of absolute date or well-formatted duration, whereas frequency is easier to be normalized. For the identification of DocTimeRel, the result is fairly well, and the relation is difficult to identify when it involves a relative TIMEX or a hypothetical concept.

The authors proposed a new method to extract temporal information from the online clinical data and evaluated the usefulness of different level of syntactic features in this task.