- Opens: Wednesday 19 January 2022
- Number of places: 1
- Duration: 36 - 48 months
OverviewThe aim is to create a successful Artificial Intelligence (AI) implementation and, through that, gain a better understanding of what makes a successful AI implementation in the relevant healthcare problem area.
The applicants should have:
- some experience working in healthcare
- an interest in AI (no prior knowledge of AI is necessary)
- an educational background in medicine or healthcare administration (preferred)
The chosen student learn AI in a “no-code” manner, using Open-AI, Watson, Doctus and similar sophisticated AI application. Technical support will be provided.
This doctoral project will start with learning about AI in a non-technical way. The purpose is to deliver a working AI implementation in a suitable problem area and then evaluate the usefulness of the implementation, its value, perception, etc. Therefore the empirical part of the study will be ethnographic, which is why being a “medical insider” is of great value.
- identification of a suitable healthcare problem area
- an understanding of what various AI solutions could deliver in that area and what conditions need to be met
- conducting an actual AI implementation
- understand the conditions that made the implementation successful
- observe and explain the implications
- map the benefits and costs of the AI implementation
This project will be a pilot, based on which a doctoral programme will be designed. At this point, the goal is to figure out what makes a good AI implementation in the narrowly defined problem area.
Further projects will be conducted in other areas, hopefully leading to insight that will help improve AI implementations more generally.