Aims. The aim of this study is to gain insight into the level of emotional intelligence of mental health nurses in the Netherlands. Background. The focus in research on emotional intelligence to date has been on a variety of professionals. However, little is known about emotional intelligence in mental health nurses. Method. The emotional intelligence of 98 Dutch nurses caring for psychiatric patients is reported. Data were collected with the Bar-On Emotional Quotient Inventory within a cross-sectional research design. Results. The mean level of emotional intelligence of this sample of professionals is statistically significant higher than the emotional intelligence of the general population. Female nurses score significantly higher than men on the subscales Empathy, Social Responsibility, Interpersonal Relationship, Emotional Self-awareness, Self-Actualisation and Assertiveness. No correlations are found between years of experience and age on the one hand and emotional intelligence on the other hand. Conclusions. The results of this study show that nurses in psychiatric care indeed score above average in the emotional intelligence required to cope with the amount of emotional labour involved in daily mental health practice. Relevance to clinical practice. The ascertained large range in emotional intelligence scores among the mental health nurses challenges us to investigate possible implications which higher or lower emotional intelligence levels may have on the quality of care. For instance, a possible relation between the level of emotional intelligence and the quality of the therapeutic nurse–patient relationship or the relation between the level of emotional intelligence and the manner of coping with situations characterised by a great amount of emotional labour (such as caring for patients who self-harm or are suicidal).
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In het boek komen 40 experts aan het woord, die in duidelijke taal uitleggen wat AI is, en welke vragen, uitdagingen en kansen de technologie met zich meebrengt.
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By analysing intelligence-gathering reform legislation this article discusses access to justice for communications interception by the intelligence and security services. In the aftermath of the Snowden revelations, sophisticated oversight systems for bulk communications surveillance are being established across the globe. In the Netherlands prior judicial consent and a binding complaint procedure have been established. However, although checks and balances for targeted communications interference have been created, accountability mechanisms are less equipped to effectively remedy indiscriminate interference. Therefore, within the context of mass communications surveillance programs, access to justice for complainants remains a contentious issue.
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With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured way of specifying design solutions of collaboration for hybrid intelligence (HI) systems and there is a lack of best practices shared across application domains. We address this gap by investigating the generalization of specific design solutions into design patterns that can be shared and applied in different contexts. We present a human-centered bottom-up approach for the specification of design solutions and their abstraction into team design patterns. We apply the proposed approach for 4 concrete HI use cases and show the successful extraction of team design patterns that are generalizable, providing re-usable design components across various domains. This work advances previous research on team design patterns and designing applications of HI systems.
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Editorial on the Research Topic "Leveraging artificial intelligence and open science for toxicological risk assessment"
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In May 2018, the new Dutch Intelligence and Security Services Act 2017 (Wet op de Inlichtingen- en veiligheidsdiensten, Wiv) will enter into force. It replaces the previous 2002 Act and incorporates many reforms to the information gathering powers of the two intelligence and security services as well as to the accountability and oversight mechanisms. Due to the technologyneutral approach, both the civil and the military intelligence services are now authorized to, for example, intercept communications in bulk, hack third parties, decrypt files, store DNA or use any other future innovative technology. Also, the national security legislation extends the possibilities for the indiscriminate collection of data, and for the processing, storage and analysis thereof. The process leading to the law includes substantial criticism from the various stakeholders involved. Upon publication of this report, an official consultative referendum is being organized on the new act. The aim of this policy brief is to provide an international audience with a comprehensive overview of the most relevant aspects of the act and its context. In addition, there is considerable focus on the checks and balances as well as the bottlenecks of the Dutch intelligence gathering reform. The selection of topics is based on the core issues addressed during the parliamentary debate and on the authors’ insights.
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In the book, 40 experts speak, who explain in clear language what AI is, and what questions, challenges and opportunities the technology brings.
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Abstract Aims: Medical case vignettes play a crucial role in medical education, yet they often fail to authentically represent diverse patients. Moreover, these vignettes tend to oversimplify the complex relationship between patient characteristics and medical conditions, leading to biased and potentially harmful perspectives among students. Displaying aspects of patient diversity, such as ethnicity, in written cases proves challenging. Additionally, creating these cases places a significant burden on teachers in terms of labour and time. Our objective is to explore the potential of artificial intelligence (AI)-assisted computer-generated clinical cases to expedite case creation and enhance diversity, along with AI-generated patient photographs for more lifelike portrayal. Methods: In this study, we employed ChatGPT (OpenAI, GPT 3.5) to develop diverse and inclusive medical case vignettes. We evaluated various approaches and identified a set of eight consecutive prompts that can be readily customized to accommodate local contexts and specific assignments. To enhance visual representation, we utilized Adobe Firefly beta for image generation. Results: Using the described prompts, we consistently generated cases for various assignments, producing sets of 30 cases at a time. We ensured the inclusion of mandatory checks and formatting, completing the process within approximately 60 min per set. Conclusions: Our approach significantly accelerated case creation and improved diversity, although prioritizing maximum diversity compromised representativeness to some extent. While the optimized prompts are easily reusable, the process itself demands computer skills not all educators possess. To address this, we aim to share all created patients as open educational resources, empowering educators to create cases independently.
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Ambient intelligence technologies are a means to support ageing-in-place by monitoring clients in the home. In this study, monitoring is applied for the purpose of raising an alarm in an emergency situation, and thereby, providing an increased sense of safety and security. Apart from these technological solutions, there are numerous environmental interventions in the home environment that can support people to age-in-place. The aim of this study was to investigate the needs and motives, related to ageing-in-place, of the respondents receiving ambient intelligence technologies, and to investigate whether, and how, these technologies contributed to aspects of ageing-in-place. This paper presents the results of a qualitative study comprised of interviews and observations of technology and environmental interventions in the home environment among 18 community-dwelling older adults with a complex demand for care.
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Background: Auditory processing disorder (APD) is a diagnosis that is widely discussed. Children diagnosed with APD have difficulty listening in complex situations, despite a well-functioning peripheral hearing. However, there seems to be no evidence for the validity of a purely auditory deficit. The aim of this study is to examine the differences in performance between children with suspected APD and typically developing children on tests of communication, auditory processing, nonverbal intelligence, working memory, and visual and auditory attention. Methods: In a case-control study we examined 9 children with suspected APD and 21 typically developing children, ages 8;0 to 12;0 years. The parents of all children completed three questionnaires about history, behavioral symptoms of ADHD, and communication skills. The teachers of the children completed the Children’s Auditory Processing Performance Scale (CHAPPS). The children themselves were assessed for auditory processing abilities, nonverbal intelligence, working memory, and auditory and visual attention. Results: No differences were found between groups in age, nonverbal intelligence quotient, and performance on auditory processing tests. Children with suspected APD have significantly poorer communication performance (parent report), poorer listening skills (teacher report), poorer working memory and poorer auditory and visual skills. Conclusion: There is a difference between children with suspected APD and typically developing children. Children with suspected APD perform insufficient on tests of working memory, and have a slower response to auditory and visual attention tasks. Parents of children with suspected APD report difficulties in communication and teachers assess the children of being at risk for listening difficulties.
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