Phd Algorithmic Technologies Shaping Clinical

3 maanden geleden

Rotterdam, Nederland Erasmus Universiteit Rotterdam Voltijd

**Introduction**:
Erasmus School of Health Policy and Management (ESHPM) is making a substantial investment in research and teaching into the Theme of Workforce and Sustainable Healthcare, which includes the offering of a fully funded, four-year PhD-position. This PhD project will specifically look at how algorithmic technologies are shaping the nature of professional clinical work, and influence the role, expertise and identity of professionals in healthcare.

**Job description**:
AI has the potential to not only alter how people work, but also how they relate to their jobs, their sense of professional identity. AI uniquely impacts even highly skilled, knowledge workers in a way unprecedented by previous technologies. While past automation primarily displaced low-skilled labor, AI now poses a threat to professional skills such as expert decision-making and intellectual abilities, which were traditionally deemed uniquely human. Therefore, proactively addressing concerns on the evolving roles of clinicians and their professional expertise and identity is crucial for organizations and health systems. Clinicians who perceive their professional roles, values and identities as jeopardized by AI are more resistant to its adoption and less likely to utilize it effectively. This partly explains the current limited use and sustainable deployment at scale of algorithmic technologies in clinical practice despite substantial investment in health systems. For professionals to regain some sense of control over forthcoming changes in their work and be able to co-create the future AI-driven workplace seem to be important.

**Project aims and objectives**:
The specific PhD project objectives are as follows:

- To develop an empirically grounded conceptual model of how emergent algorithmic technologies interact with established infrastructures of professional knowledge, expertise and ethical standards.
- To study empirically through qualitative research methods how algorithmic technologies are shaping the work practices, the sense of competence, authority, relatedness, autonomy and moral norms of clinical professionals.
- To investigate the reshaping of new collaborations among professionals, patients, and algorithmic technologies, analyzing ongoing shifts in the production, contestation, evaluation, and institutionalization of professional status and expertise.
- To communicate knowledge and insights gained from the project with diverse interested audiences.
- To translate knowledge and experiences from the applied cases into concrete learning to be included into related Healthcare Workforce education and training programs
- To develop conceptual knowledge based on the empirical study that will contribute to organizational research on occupations and professions and healthcare management change; and,
- To equip you, the student, with the experiences and skills needed to embark on a fulfilling career in the health care sector or in academia.

This PhD position is part of a new and transdisciplinary research program on Workforce and Sustainability in Health Care within ESHPM. The focus on the restructuring of professional role, skills, values and identity of clinicians following the introduction of disruptive algorithmic technology is one of the core research themes within this program. In addition to developing PhD research, the PhD student will participate in broader research and teaching activities to build and foster the Workforce and Sustainability Theme (e.g. participating in research seminars, developing panels for international conferences, developing courses for ESHPM students and post-academic training).

**Supervising team**

**Job requirements**:
**Essential**
- Holding (or close to completing) a Master’s degree in: Healthcare Management, Organization Science, Science &Technology, Health Services Research, Business and/or Management Studies, Sociology, Healthcare Ethics, or another relevant Master’s degree.
- Strong qualitative research competence and analytical skills.
- Excellent verbal and writing skills in English (Proficiency or C1 level).
- Being a team player and developing into a good academic citizen who is willing to contribute to the interdisciplinary research agenda of Sustainable Healthcare and Workforce within ESHPM.
- Demonstrating an ability and desire to work independently, with supervisory support, to develop an independent piece of research.
- Intellectual openness and willingness to be an active member of multicultural teams, working collaboratively in tackling important healthcare challenges.

**Desirable**
- Familiarity with organization and management theory, and ideally topics related to professions, expertise.
- Knowledge of healthcare organizations and systems.
- Familiarity with algorithmic technologies, ideally applied in healthcare.
- Good command of Dutch language.

As a PhD student at ESHPM, your primary duty will be to conduct research. In the process, you will be given plenty o

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