User Interface concept for AI-supported clinical decision making in prehospital emergency care

dc.contributor.authorAndersson, Jens
dc.contributor.authorMaxstad, Elin
dc.contributor.departmentChalmers tekniska högskola / Institutionen för industri- och materialvetenskapsv
dc.contributor.examinerBerlin, Cecilia
dc.contributor.supervisorKarlsson, Fredrik
dc.contributor.supervisorBerlin, Cecilia
dc.date.accessioned2022-09-12T08:35:55Z
dc.date.available2022-09-12T08:35:55Z
dc.date.issued2022sv
dc.date.submitted2020
dc.description.abstractThis 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.sv
dc.identifier.coursecodeIMSX30sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/305582
dc.language.isoengsv
dc.setspec.uppsokTechnology
dc.titleUser Interface concept for AI-supported clinical decision making in prehospital emergency caresv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH
local.programmeIndustrial design engineering (MPDES), MSc
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