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Patient-centric exchanges, a major type of Health Information Exchange (HIE), empower patients to aggregate and manage their health information. This exchange model helps patients access, modify and share their medical information with multiple healthcare organizations. Although existing studies examine patient engagement, more research is required to investigate patients' attitudes and willingness to play an active role in patient-centered information exchange. The study's main objective is to develop a model based on the belief-attitude-intention paradigm to empirically examine the effects of patients' attitudes toward engagement in care on their willingness to participate in patient-centric HIE.

The authors conducted an online survey study to identify the antecedents and consequences of patients' attitudes toward engagement in care. To empirically test the research model, the authors collected data from a national sample (n = 357) of individuals in the United States. The data were analyzed using structural equation modeling (SEM).

The proposed model categorizes the antecedents to patients' attitudes toward engagement in patient-related and healthcare system factors. The results show that patient-related factors (perceived health literacy and perceived coping ability) and health system factors (perceived experience with the healthcare organization and perceived patient-provider interaction) significantly shape patient attitude toward care management engagement. The results indicate that patients' attitudes toward engaging in their healthcare significantly contribute to their willingness to participate in medical information sharing through patient-centric HIE initiatives. Moreover, the authors’ findings also demonstrate that the link between patient engagement and willingness to participate in HIE is stronger for individuals who perceive lower levels of privacy and security concerns.

The authors validate the proposed model explaining patients' perceptions about their characteristics and the healthcare system significantly influence their attitude toward engaging in their care. This study also suggests that patients' favorable attitude toward engagement can bring patient-centric HIE efforts onto a path to success. The authors’ research attempts to shed light on the importance of patients' roles in adopting patient-centric HIE initiatives. Theoretical and practical contributions of this study are noticeable since they could result in a deeper understanding of the concept of patient engagement and how it may affect healthcare services in an evolving digital world. The authors’ findings can help healthcare organizations provide public citizen-centric services by introducing user-oriented approaches in healthcare delivery systems.

Recent advancements in Artificial Intelligence (AI) and, at its core, Machine Learning (ML) offer opportunities for organizations to develop new or enhance existing capabilities. Despite the endless possibilities, organizations face operational challenges in harvesting the value of ML-based capabilities (MLbC), and current research has yet to explicate these challenges and theorize their remedies. To bridge the gap, this study explored the current practices to propose a systematic way of orchestrating MLbC development, which is an extension of ongoing digitalization of organizations.

Data were collected from Finland's Artificial Intelligence Accelerator (FAIA) and complemented by follow-up interviews with experts outside FAIA in Europe, China and the United States over four years. Data were analyzed through open coding, thematic analysis and cross-comparison to develop a comprehensive understanding of the MLbC development process.

The analysis identified the main components of MLbC development, its three phases (development, release and operation) and two major MLbC development challenges: Temporal Complexity and Context Sensitivity. The study then introduced Fostering Temporal Congruence and Cultivating Organizational Meta-learning as strategic practices addressing these challenges.

This study offers a better theoretical explanation for the MLbC development process beyond MLOps (Machine Learning Operations) and its hindrances. It also proposes a practical way to align ML-based applications with business needs while accounting for their structural limitations. Beyond the MLbC context, this study offers a strategic framework that can be adapted for different cases of digital transformation that include automation and augmentation of work.

This study aims to analyse student and teaching staff views on how higher education (HE) can contribute to sustainable development, and to provide examples of how a medical university has adopted the sustainable development goals (SDGs) as part of its institutional strategies and practises.

The study is based on participant views from a conference, which aimed to identify actions needed for HE to contribute to the SDGs. More than 500 students, teachers and academic leaders participated at workshops to discuss and reflect on the role of higher education institutions (HEIs) in sustainable development. The discussion key points were recorded on flipcharts, and the analysis builds on all written statements from the nine workshops. Based on the findings from the workshop, steering documents and activities of a medical university were identified as examples of implementation.

Two overarching interdependent themes were identified and indicated a need to rethink the role not only of HE per se but also that of HEIs at large, to meet the challenges of sustainable development. The study also provides an example of how such organizational change can be practically implemented at a medical university, through the establishment of overarching institutional strategies, funding opportunities and external collaborations.

The findings reflect a “bottom-up” call from students and educational staff for HEIs to step up and contribute to systems change – both through a change in pedagogies, as well as through an institution-wide approach and a shift in the role of HEIs in society.

The study is unique in providing an exemplar of the implementation of sustainable development in HE at a specific medical university.

The rapid rise of large language models (LLMs) has propelled them to the forefront of applications in natural language processing (NLP). This paper aims to present a comprehensive examination of the research landscape in LLMs, providing an overview of the prevailing themes and topics within this dynamic domain.

Drawing from an extensive corpus of 198 records published between 1996 to 2023 from the relevant academic database encompassing journal articles, books, book chapters, conference papers and selected working papers, this study delves deep into the multifaceted world of LLM research. In this study, the authors employed the BERTopic algorithm, a recent advancement in topic modeling, to conduct a comprehensive analysis of the data after it had been meticulously cleaned and preprocessed. BERTopic leverages the power of transformer-based language models like bidirectional encoder representations from transformers (BERT) to generate more meaningful and coherent topics. This approach facilitates the identification of hidden patterns within the data, enabling authors to uncover valuable insights that might otherwise have remained obscure. The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

This classification offers practical guidance for researchers, developers, educators, and policymakers to focus efforts and resources. The study underscores the importance of addressing challenges in LLMs, including potential biases, transparency, data privacy, and responsible deployment. Policymakers can utilize this information to shape regulations, while developers can tailor technology development based on the diverse applications identified. The findings also emphasize the need for interdisciplinary collaboration and highlight ethical considerations, providing a roadmap for navigating the complex landscape of LLM research and applications.

This study stands out as the first to examine the evolution of LLMs across such a long time frame and across such diversified disciplines. It provides a unique perspective on the key areas of LLM research, highlighting the breadth and depth of LLM’s evolution.

This chapter qualitatively explored the impact of including parent liaisons (i.e., parents with lived experience caring for a child with complex needs, who support other caregivers in navigating child and family needs) in a case conferencing model for children with complex medical/social needs. Case conferences are used to address fragmented care, shared decision-making, and set patient-centered goals. Seventeen semi-structured interviews were conducted with clinicians and parent liaisons to assess the involvement of parent liaisons in case conferencing. Two main themes included benefits of parent liaison involvement (10 subthemes) and challenges to parent liaison involvement (5 subthemes). Clinicians reported that liaison participation and support of patients reduced stress for clinicians as well as family members. Challenges to liaison involvement included clinical team/parent liaison communication delays, which were further exacerbated by the COVID-19 pandemic. Parent liaison involvement in case conferences is perceived to be beneficial to children with complex needs, their families, and the clinical team. Integration of liaisons ensures the familial perspective is included in clinical goal setting.

This paper aims to explore the intersection of cultural processes and immigration in parental understanding of adolescent mental health and mental health seeking behaviors among African immigrants in Western countries. The present study examines the perspectives of Congolese immigrant parents on adolescent mental health in Brussels, Belgium, and Raleigh, North Carolina, USA – two geographic regions with relatively large Congolese migrant populations. This study highlights a needed understanding of cultural and acculturative context in shaping the beliefs of Congolese immigrants and explores potential barriers of seeking health services. Additionally, it recognizes health issues among this underrepresented and underserved population.

Fifteen Congolese immigrant parents, eight in the USA and seven in Belgium, participated in structured qualitative interviews using an adapted version of Kleinman Questions and behavioral scenarios on depression, post-traumatic stress disorder and oppositional defiant disorder. Interviews were audio recorded, and participants were assigned pseudonyms to de-identify responses. English interviews were transcribed verbatim by a trained team of undergraduate research assistants, and French interviews were transcribed verbatim by the first author and a graduate research assistant. Following transcription, the first and second authors used a rapid analytic approach (Hamilton, 2013). The first and second authors conducted a matrix analysis to observe thematic patterns.

Parents interpreted adolescent behavior to be more problematic when the scenarios were overtly outside of their cultural realm of values and beliefs. Parents preferred methods of intervention through religious practices and/or family and community efforts rather than seeking mental health services in their host countries as a secondary option. The authors’ findings provide an understanding of the values and beliefs of this underrepresented demographic, which may be useful to guide health professionals on how to support this community in a culturally responsive way.

Limitations to the current study include the structured nature of the interview guide that did not allow for in-depth qualitative exploration. Interviewed participants had lived in their host countries for more than 10+ years. Thus, the authors’ findings are not reflective of new immigrants’ experiences. Parents’ perspectives were likely shaped by exposure to Western beliefs related to support for mental health (e.g. knowledge of psychologists). Future studies should focus on recent refugees due to exposure to traumatic events and experiences reflective of the Democratic Republic of Congo’s (DRC’s) current socio-political situation, and how these are understood in the context of adolescent mental health. Further, due to the hypothetical nature of the scenarios, the authors cannot be sure that participants would engage in the identified approaches with their children. Additionally, hearing from the youth’s perspective would provide a clearer insight on how mental health and seeking professional help is viewed in a parent–child relationship. Finally, the data for this study were collected in 2019, prior to the COVID-19 pandemic. Although the authors cannot speak directly to Congolese refugee and immigrant experiences during this significant historical period, given the rise in mental health concerns in refugee populations more broadly (Logie et al., 2022), the authors’ findings speak to how parents may have responded to increased mental health symptoms and point to additional barriers that these populations may have faced in accessing support. The authors’ study emphasizes the need for dedicating resources and attention to this population, especially the development of culturally tailored messaging that invites community members to support the mental health needs of their community.

The authors’ findings provide important implications for mental health professionals. This study provides a clearer understanding of how Congolese immigrant parents view mental health and help-seeking within their cultural frame. Although parents may seek professional help, a distrust of mental health services was expressed across both cohorts. This suggests that mental health professionals should acknowledge potential distrust among this population and clarify their role in supporting the mental health of adolescent immigrants. Clinicians should inquire about familial cultural beliefs that are parent- and child-centered and modify their interventions to fit these belief structures.

This paper addresses the gap in knowledge about mental health perspectives of Sub-Saharan African immigrant populations, specifically those from the DRC.

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.

The COVID-19 pandemic has had a disruptive effect on the health system. Health facility leaders were at the forefront of maintaining service delivery and were exposed to varied stressors in the early phase of the pandemic. This study aims to explore the leadership experiences of health facility leaders during the early phase of the COVID-19 pandemic in Nigeria’s epicentre.

This study conducted an exploratory descriptive qualitative study. To achieve this, 33 health facility leaders of different cadres across primary, secondary, and tertiary levels of the public health care system in Lagos, Nigeria, were remotely interviewed. The key informant interviews were transcribed verbatim and were analysed by using thematic analysis.

The health facility leaders experienced heightened levels of fear, anxiety and stressors during the early phase of the pandemic. They also had genuine concerns about exposing their family members to the virus and had to manage some health-care workers who were afraid for their lives and reluctant. Coping mechanisms included psychological and social support, innovative hygiene measures at health facility and at home, training and staff welfare in more ways than usual. They were motivated to continue rendering services during the crisis because of their passion, their calling, the Hippocratic oath and support from the State government.

The experiences of health facility leaders from different parts of the world have been documented. However, to the best of the authors’ knowledge, this is one of the first studies that specifically report multi-layer leadership experiences of health facility leaders during the early phase of the COVID-19 pandemic in sub-Saharan Africa.