When receiving a diagnosis of a (chronical) illness, a sense-making phase goes together with the acceptancy and the behavior change required to start the medical treatments. Digital health tools are developed to monitor the patient journey, contributing to the collection of large amounts of data that can also advise the clinical practice.
Clinical studies focus primarily on treatments based on quantitative results, while qualitative data can inform about the impact of diagnosis on people’s life in terms of self-determination and general well-being, for example in patient journeys reflecting personal value. Quality of life and wellbeing are demanded to be taken into account by both patients and clinicians willing to implement personalized medicine, acknowledging inequalities created and perpetrated by the development of health care practices based on the needs of specific, limited target groups (e.g. race, ethnicity, gender).
Technology can support the constructive use of qualitative data in personalized healthcare. However, the current emergence of new technologies based on AI tools that promise to provide synthetic data simulating (and therewith replacing) participant behavior, calls for a critical and constructive reflection. Which methods, scenarios for design research and outlines can be explored and developed together with the different stakeholders to reflect the experience of patients and consider the quality of life as a relevant element in the paradigm? Job description
The candidate will
- investigate the use of technology to support identity and quality of life of people with chronical illnesses connected to hormones imbalances (e.g. thyroid issues)
- explore how AI based solutions (e.g. digital twins or synthetic data providers) take into account and reflect personal and social values in individuals' care journeys.
- work with people with disabilities, patient associations and personnel from the medical community as partners for transdisciplinary and co-creation sessions, adopting inclusive approaches to citizen involvement.
You will write papers and travel to participate in (inter)national conferences (such as CHI, CSCW, Health related conferences or venues) to share your work with the academic community, engage with diverse citizen groups to produce knowledge and make use of the facilities provided by the university to explore tangible interactions. You will share a working space with other PhDs and join the trainings of the graduate school to develop your academic skills and take the first steps towards your academic professionalization.