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Recent buzzes around big data, data science and artificial intelligence portray a data-driven future for healthcare. As a response, Europe's key players have stimulated the use of big data technologies to make healthcare more efficient and effective. Critical Data Studies and Science and Technology Studies have developed many concepts to reflect on such overly positive narratives and conduct critical policy evaluations. In this study, we argue that there is also much to be learned from studying how professionals in the healthcare field affectively engage with this strong European narrative in concrete big data projects. We followed twelve hospital-based big data pilots in eight European countries and interviewed 145 professionals (including legal, governance and ethical experts, healthcare staff and data scientists) between 2018 and 2020. In this study, we introduce the metaphor of dreams to describe how professionals link the big data promises to their own frustrations, ideas, values and experiences with healthcare. Our research answers the question: how do professionals in concrete data-driven initiatives affectively engage with European Union's data hopes in their 'dreams' – and with what consequences? We describe the dreams of being seen, of timeliness, of connectedness and of being in control. Each of these dreams emphasizes certain aspects of the grand narrative of big data in Europe, makes particular assumptions and has different consequences. We argue that including attention to these dreams in our work could help shine an additional critical light on the big data developments and stimulate the development of responsible data-driven healthcare.

Abstract
Scholars describe organizing professionalism as 'the intertwinement of professional and organizational logics in one professional role'. Organizing professionalism bridges the gap between the often-described conflicting relationship between professionals and managers. However, the ways in which professionals shape this organizing role in daily practice, and how it impacts on their relationship with managers has gained little attention. This ethnographic study reveals how nurses shape and differentiate themselves in organizing roles. We show that developing a new nurse organizing role is a balancing act as it involves resolving various tensions concerning professional authority, task prioritization, alignment of both intra- and interprofessional interests, and internal versus external requirements. Managers play an important yet ambiguous role in this development process as they both cooperate with nurses in aligning organizational and nursing professional aims, and sometimes hamper the development of an independent organizing nursing role due to conflicting organizational concerns.

BACKGROUND: Transitions in healthcare delivery, such as the rapidly growing numbers of older people and increasing social and healthcare needs, combined with nursing shortages has sparked renewed interest in differentiations in nursing staff and skill mix. Policy attempts to implement new competency frameworks and job profiles often fails for not serving existing nursing practices. This study is aimed to understand how licensed vocational nurses (VNs) and nurses with a Bachelor of Science degree (BNs) shape distinct nursing roles in daily practice. METHODS: A qualitative study was conducted in four wards (neurology, oncology, pneumatology and surgery) of a Dutch teaching hospital. Various ethnographic methods were used: shadowing nurses in daily practice (65h), observations and participation in relevant meetings (n=56), informal conversations (up to 15 h), 22 semi-structured interviews and member-checking with four focus groups (19 nurses in total). Data was analyzed using thematic analysis. RESULTS: Hospital nurses developed new role distinctions in a series of small-change experiments, based on action and appraisal. Our findings show that: (1) this developmental approach incorporated the nurses' invisible work; (2) nurses' roles evolved through the accumulation of small changes that included embedding the new routines in organizational structures; (3) the experimental approach supported the professionalization of nurses, enabling them to translate national legislation into hospital policies and supporting the nurses' (bottom-up) evolution of practices. The new roles required the special knowledge and skills of Bachelor-trained nurses to support healthcare quality improvement and connect the patients' needs to organizational capacity. CONCLUSIONS: Conducting small-change experiments, anchored by action and appraisal rather than by design, clarified the distinctions between vocational and Bachelor-trained nurses. The process stimulated personal leadership and boosted the responsibility nurses feel for their own ...

Background Transitions in healthcare delivery, such as the rapidly growing numbers of older people and increasing social and healthcare needs, combined with nursing shortages has sparked renewed interest in differentiations in nursing staff and skill mix. Policy attempts to implement new competency frameworks and job profiles often fails for not serving existing nursing practices. This study is aimed to understand how licensed vocational nurses (VNs) and nurses with a Bachelor of Science degree (BNs) shape distinct nursing roles in daily practice. Methods A qualitative study was conducted in four wards (neurology, oncology, pneumatology and surgery) of a Dutch teaching hospital. Various ethnographic methods were used: shadowing nurses in daily practice (65h), observations and participation in relevant meetings (n=56), informal conversations (up to 15 h), 22 semi-structured interviews and member-checking with four focus groups (19 nurses in total). Data was analyzed using thematic analysis. Results Hospital nurses developed new role distinctions in a series of small-change experiments, based on action and appraisal. Our findings show that: (1) this developmental approach incorporated the nurses' invisible work; (2) nurses' roles evolved through the accumulation of small changes that included embedding the new routines in organizational structures; (3) the experimental approach supported the professionalization of nurses, enabling them to translate national legislation into hospital policies and supporting the nurses' (bottom-up) evolution of practices. The new roles required the special knowledge and skills of Bachelor-trained nurses to support healthcare quality improvement and connect the patients' needs to organizational capacity. Conclusions Conducting small-change experiments, anchored by action and appraisal rather than by design, clarified the distinctions between vocational and Bachelor-trained nurses. The process stimulated personal leadership and boosted the responsibility nurses feel for their own ...

Since the 1980s, regulated markets and New Public Management have been introduced in the public sector across the world. How they have affected existing governance mechanisms such as self-regulation and state regulation has remained largely unexplored, however. This article examines the origins and consequences of institutional layering in governing healthcare quality. Dutch health care, where a market-based system has been introduced, is used as a case study. The results show that this market-based system did not replace but modified existing institutional arrangements. As a result, hospitals have to deal with the fragmentation of quality demands. Using the concept of institutional layering, this study shows how different arrangements interact. As a consequence, the introduction of a certain policy reform will work out differently in different countries and policy sectors. Our 'archaeological' study in this layering can be seen as an example of how such incremental change can be studied in detail. Adapted from the source document.

Background: Transitions in healthcare delivery, such as the rapidly growing numbers of older people and increasing social and healthcare needs, combined with nursing shortages has sparked renewed interest in differentiations in nursing staff and skill mix. Policy attempts to implement new competency frameworks and job profiles often fails for not serving existing nursing practices. This study is aimed to understand how licensed vocational nurses (VNs) and nurses with a Bachelor of Science degree (BNs) shape distinct nursing roles in daily practice. Methods: A qualitative study was conducted in four wards (neurology, oncology, pneumatology and surgery) of a Dutch teaching hospital. Various ethnographic methods were used: shadowing nurses in daily practice (65h), observations and participation in relevant meetings (n=56), informal conversations (up to 15 h), 22 semi-structured interviews and member-checking with four focus groups (19 nurses in total). Data was analyzed using thematic analysis. Results: Hospital nurses developed new role distinctions in a series of small-change experiments, based on action and appraisal. Our findings show that: (1) this developmental approach incorporated the nurses' invisible work; (2) nurses' roles evolved through the accumulation of small changes that included embedding the new routines in organizational structures; (3) the experimental approach supported the professionalization of nurses, enabling them to translate national legislation into hospital policies and supporting the nurses' (bottom-up) evolution of practices. The new roles required the special knowledge and skills of Bachelor-trained nurses to support healthcare quality improvement and connect the patients' needs to organizational capacity. Conclusions: Conducting small-change experiments, anchored by action and appraisal rather than by design, clarified the distinctions between vocational and Bachelor-trained nurses. The process stimulated personal leadership and boosted the responsibility nurses feel for their own ...

BACKGROUND: Despite the high potential of big data, their applications in health care face many organizational, social, financial, and regulatory challenges. The societal dimensions of big data are underrepresented in much medical research. Little is known about integrating big data applications in the corporate routines of hospitals and other care providers. Equally little is understood about embedding big data applications in daily work practices and how they lead to actual improvements for health care actors, such as patients, care professionals, care providers, information technology companies, payers, and the society. OBJECTIVE: This planned study aims to provide an integrated analysis of big data applications, focusing on the interrelations among concrete big data experiments, organizational routines, and relevant systemic and societal dimensions. To understand the similarities and differences between interactions in various contexts, the study covers 12 big data pilot projects in eight European countries, each with its own health care system. Workshops will be held with stakeholders to discuss the findings, our recommendations, and the implementation. Dissemination is supported by visual representations developed to share the knowledge gained. METHODS: This study will utilize a mixed-methods approach that combines performance measurements, interviews, document analysis, and cocreation workshops. Analysis will be structured around the following four key dimensions: performance, embedding, legitimation, and value creation. Data and their interrelations across the dimensions will be synthesized per application and per country. RESULTS: The study was funded in August 2017. Data collection started in April 2018 and will continue until September 2021. The multidisciplinary focus of this study enables us to combine insights from several social sciences (health policy analysis, business administration, innovation studies, organization studies, ethics, and health services research) to advance a holistic understanding of big data value realization. The multinational character enables comparative analysis across the following eight European countries: Austria, France, Germany, Ireland, the Netherlands, Spain, Sweden, and the United Kingdom. Given that national and organizational contexts change over time, it will not be possible to isolate the factors and actors that explain the implementation of big data applications. The visual representations developed for dissemination purposes will help to reduce complexity and clarify the relations between the various dimensions. CONCLUSIONS: This study will develop an integrated approach to big data applications that considers the interrelations among concrete big data experiments, organizational routines, and relevant systemic and societal dimensions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/16779.