BackgroundThe world’s population is aging, and with aging population comes an increase of chronic diseases and multimorbidity. At the same time a shortfall of trained health care professionals is anticipated. This raises questions on how to provide the best possible care. The use of Information and communication technology (ICT) and e-health has the potential to address the challenges that healthcare is facing. ICT applications and e-health, such as videophones, telemedicine and mobile devices, can benefit the healthcare system. Nonetheless, ICT is not used to its full potential. One of the key factors is the low adoption rate by nursing professionals. The nursing profession is characterized by teamwork and interdisciplinary collaboration. Nurses often work in nursing teams and collaboration between different disciplines is necessary for providing health care. Thus, collaboration is necessary when implementing ICT innovations.MethodsA systematic literature review was conducted in online databases PubMEd, CINAHL and IEEE, using key words related to innovation, nursing teams and adoption.ResultsThe result of the systematic review is that little is known about the relation between ICT adoption by nurses and the nature of collaboration by nurses in teams and in interdisciplinary networks. This leads to further research questions and a need for further research in this subject.
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Abstract: This case study examines the use of an eHealth application for improving preoperative rehabilitation (prehabilitation). We have analysed healthcare professionals' motivators and drivers for adopting eHealth for a surgical procedure at academic medical facilities. The research focused on when and why healthcare professionals are inclined to adopt eHealth applications in their way of working? For this qualitative study, we selected 12 professionals involved in all levels of the organisation and stages of the medical process and conducted semi-structured interviews. Kotter’s transformational change model and the Technology Acceptance Model were used as analytical frameworks for the identification of the motivation of eHealth adoption. The findings suggest that contrary to Kotter’s change model, which argues that adoption of change is based on perceptions and feelings, the healthcare drivers are rational when it comes to deciding whether or not to adopt eHealth apps. This study further elaborates the observation made by the Dutch expertise centre on eHealth, Nictiz, that when the value of an eHealth pplication is clear for a stakeholder, the adoption process accelerates. Analysis of the motivations and drivers of the healthcare professionals show a strong relationship with an evidence-based grounding of usefulness and the responsibility these professionals have towards their patients. We found that healthcare professionals respond to the primary goal of improving healthcare. This is true if the eHealth application will innovate their work, but mainly when the application will improve the patient care they are responsible for. When eHealth applications are implemented, rational facts need to be collected in a study before deployment of eHealth applications on how these applications will improve the patient's health or wellbeing throughout their so-called medical journey for their treatment. Furthermore, the preference to learn about new eHealth applications from someone who speaks from authority through expertise on the subject matter, suggests adoption by healthcare professionals may be accelerated through peers. The result of this study may provide healthcare management with a different approach to their eHealth strategy. Future research is needed to validate the findings in different medical organisational settings such as regional healthcare facilities or for-profit centers which do not necessarily have an innovation focus but are driven by other strategic drivers.
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The skillsets of production workers are crucial for the effective adoption of smart technologies which are largely shaped by work design. However, current literature lacks comprehensive insights into the skills and work designs of production workers, hindering the adoption of Industry 5.0. Grounded in work design and skills literature this study explores the required skills of employees and perceived work design characteristics for adoption of AI, AR/VR, and Robotics in Dutch Manufacturing SMEs. This qualitative study involved semi-structured interviews with experts, managers and production workers. Results reveal a need to reassess traditional job profiles, as two distinct production workers roles emerge from AI, AR/VR and robotics adoption. Machine operators face potential deskilling through low feedback from the job, low task variety and low job complexity. Foremanproduction workers require additional skills due to job enlargement and enrichment. However, they seem to be put in this job role due to the lack of various professional and transversal skills to fully utilize smart technologies, and to accommodate a viable return on the technology investment. This highlights the importance of balancing job resources and requirements in work design, training programs for I5.0 skill development, and understanding contextual design elements of manufacturing systems contributing to viable I5.0 adoption in SMEs. Finally, sustainability, self-awareness, and self-reflection skills are not considered by professionals, displaying unawareness of its importance for I5.0 implementation practices.
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In 2015, the Object Management Group published the Decision Model and Notation with the goal to structure and connect business processes, decisions and underlying business logic. Practice shows that several vendors adopted the DMN standard and (started to) integrate the standard with their tooling. However, practice also shows that there are vendors who (consciously) deviate from the DMN standard while still trying to achieve the goal DMN is set out to reach. This research aims to 1) analyze and benchmark available tooling and their accompanied languages according to the DMN-standard and 2) understand the different approaches to modeling decisions and underlying business logic of these vendor specific languages. We achieved the above by analyzing secondary data. In total, 22 decision modelling tools together with their languages were analyzed. The results of this study reveal six propositions with regards to the adoption of DMN with regards to the sample of tools. These results could be utilized to improve the tools as well as the DMN standard itself to improve adoption. Possible future research directions comprise the improvement of the generalizability of the results by including more tools available and utilizing different methods for the data collection and analysis as well as deeper analysis into the generation of DMN directly from tool-native languages.
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Due to the changing technological possibilities of services, the demands that society places on the level of service provided by the Dutch Central Government (DCG) are changing rapidly. To accommodate this, the Dutch government is improving its processes in such a way that they become more agile and are continuously improved. However, the DCG struggles with the implementation of improvement tools that can support this. The research described in this paper aims to deliver key factors that influence the adoption of tools that improve the agile way of working and continuous improvement at the DCG. Therefore, a literature review has been conducted, from which 24 factors have been derived. Subsequently, 9 semi structured interviews have been conducted to emphasize the perspective of employees at the DCG. In total, 7 key factors have been derived from the interviews. The interviewees consisted of both employees from departments who already worked with tools to improve agile working and continuous improvement as well as employees from departments who haven’t used such tools yet. An important insight based on this research is that the aims, way of working and scope of the improvement tools must be clear for all the involved co-workers
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This report is intended to collect, present, and evaluate the various solutions applied in individual operational pilots for their (upscaling and transnational transfer) potential, in terms of opportunities and barriers, over the short and long(er)-term. This is done by identifying the main characteristics of the solutions and sites and the relevant influencing factors at different local (dimension) contexts.The analysis provides insights in barriers but also opportunities and conditions for success across four main dimensions that make up the local context landscape. We consider two main roll-out scenarios:1. Upscaling within the boundaries of the country where the operational pilot (OP) took place2. Transnational Transfer relates to the potential for transferring a (V4)ES solution to any of the other three (project) countriesThere are several aspects within the four main dimensions that are cross-cutting for all four countries, either because EU legislation lies at its roots, or because market conditions are fairly similar for certain influencing factors in those dimension.Ultimately, both Smart Charging and V2X market are still in their relevant infancies. The solutions applied in various SEEV4-City pilots are relatively straightforward and simple in ‘smartness’. This helps the potential for adoption but may not always be the optimal solution yet. The Peak shaving or load/demand shifting solutions are viable options to reduce costs for different stakeholders in the (electricity) supply chain. The market is likely to mature and become much smarter in coming 5 – 10 years. This also includes the evolvement (or spin-offs) of the solutions applied in SEEV4-_City as well. At least in the coming (approximately) 5 years Smart Charging appears to have the better financial business case and potential for large scale roll-out with less (impactful) bottlenecks, but looking at longer term V2X holds its potential to play a significant role in the energy transition.A common denominator as primary barriers relates to existing regulation, standards readiness and limited market availability of either hardware or service offerings.
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Baas, M, Admiraal, W and van den Berg, E. 2019. Teachers’ Adoption of Open Educational Resources in Higher Education. Journal of Interactive Media in Education, 2019(1): 9, pp. 1–11. DOI: https://doi.org/10.5334/jime.510Open Educational Resources (OER) have the potential to change the domain of higher education; however, adoption is still limited. As teachers are the pivotal actors to adopt OER, more insights are needed on their practices with OER and need of support. This exploratory study uses the OER Adoption Pyramid as a framework to analyse adoption of OER within a Dutch University of Applied Sciences. A questionnaire (n = 143) and semi-structured interviews with teachers who had some experience with sharing or using OER (n = 11) offered insights into the current state of affairs on adoption and need of support. The results revealed that informal sharing of resources within teachers’ personal networks happens frequently whereas the use of OER is more limited. If teachers use OER, they are mainly used ‘as-is’ or for a source of inspiration. Our findings indicate that the OER Adoption Pyramid does not properly describe the sequence of each layer within the context of this study. Availability must be lower in the pyramid as a prerequisite for teachers to explore their capacity and volition. Hence, the findings underline the need of support on subject-specific overviews of OER and the creation of national or institutional teacher communities. To improve our understanding, future research should focus on qualitative studies focusing on one case in which teachers engage with OER. This could lead to extensive insights on the factors and sequence of the OER Adoption Pyramid within different contexts.
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Clinical decision support systems (CDSSs) have gained prominence in health care, aiding professionals in decision-making and improving patient outcomes. While physicians often use CDSSs for diagnosis and treatment optimization, nurses rely on these systems for tasks such as patient monitoring, prioritization, and care planning. In nursing practice, CDSSs can assist with timely detection of clinical deterioration, support infection control, and streamline care documentation. Despite their potential, the adoption and use of CDSSs by nurses face diverse challenges. Barriers such as alarm fatigue, limited usability, lack of integration with workflows, and insufficient training continue to undermine effective implementation. In contrast to the relatively extensive body of research on CDSS use by physicians, studies focusing on nurses remain limited, leaving a gap in understanding the unique facilitators and barriers they encounter. This study aimed to explore the facilitators and barriers influencing the adoption and use of CDSSs by nurses in hospitals, using an extended Fit Between Individuals, Tasks, and Technology (FITT) framework.
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Introduction: Cancer survivors face physical, lifestyle, psychological, and psychosocial challenges. Despite the availability of aftercare services, survivors still have unmet needs. Digital aftercare programs may offer support, but their use is limited. This study aimed to examine what is needed to improve uptake and adoption of these programs. Additionally, it explored sociodemographic and clinical variables that may influence these needs. Methods: A mixed-methods approach was used, involving qualitative interviews and a questionnaire. The research was guided by the COM-B model of behaviour, which considers capability, opportunity, and motivation crucial for behaviour. Qualitative analysis was performed using the framework method. Statistical analyses involved descriptive statistics and regression analysis. Results: Fourteen cancer survivors were interviewed, and 213 participants completed the questionnaire. Findings indicated that most respondents had a positive or neutral attitude towards digital aftercare programs, believing these could address their cancer-related challenges. Still, only a small percentage had experience with them, and most were unaware of their existence. Many expressed a desire to be informed about them. Some were uncertain about their effectiveness. Others were concerned about a lack of reimbursement. No significant influence of the sociodemographic and clinical variables was found. Conclusion: Cancer survivors are generally positive about digital aftercare programs but are often unaware of their availability. Raising awareness, clarifying their value, and providing support and reimbursement could enhance uptake and adoption. Implications for Cancer Survivors: The current insights can help improve participation in digital aftercare programs, ultimately fostering health, well-being, and quality of life of cancer survivors.
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