User Interface concept for AI-supported clinical decision making in prehospital emergency care
Typ
Examensarbete för masterexamen
Program
Industrial design engineering (MPDES), MSc
Publicerad
2022
Författare
Andersson, Jens
Maxstad, Elin
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
This thesis investigated how new technology could be implemented in the prehospital
healthcare with the aim of introducing a digital AI-powered clinical decision support.
Through interviews, on-site observation and a focus group of ambulance nurses an idea
of the situation was established. With that as a baseline, the development of three
different deliverables started; firstly, a digital interface meant for data collection feeding
into the machine learning of the AI. Secondly, a representation of how a clinical decision
support should be presented and thirdly, a rough interface proposal of how a collection
of several existing digital tools could be integrated to one seamless solution, acting as a
digital toolbox.
All three concepts were well received amongst the few involved ambulance nurses. A
hypothesis for the reason of such positive reception is a combination of multiple things.
A few of those being actual good design work, the current situation of poor tools being
the only comparison and that some deliverables were very conceptual with fidelity gaps
being filled in with hopes and expectations of the perfect tool.