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SmartNurse

Bringing persuasive computing training assistance for healthcare personnel from lab experiments to educational practice

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "SmartNurse" data sheet

The following table provides information about the project.

Coordinator
DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH 

Organization address
address: TRIPPSTADTER STRASSE 122
city: KAISERSLAUTERN
postcode: 67663
website: www.dfki.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website https://www.southampton.ac.uk/healthsciences/news/2018/05/08-smart-nurse-trials-2018.page
 Total cost 100˙000 €
 EC max contribution 100˙000 € (100%)
 Programme 1. H2020-EU.1.2.1. (FET Open)
 Code Call H2020-FETOPEN-4-2016-2017
 Funding Scheme CSA
 Starting year 2017
 Duration (year-month-day) from 2017-05-01   to  2018-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH DE (KAISERSLAUTERN) coordinator 60˙000.00
2    UNIVERSITY OF SOUTHAMPTON UK (SOUTHAMPTON) participant 40˙000.00

Map

 Project objective

The aim of this proposal is to develop a strategy for transforming the results of a series of experiments in using persuasive computing technologies in emergency nurse training into a system that can be used in real life educational settings. The experiments were conducted as part of the SmartSociety FET Open project, which aims to develop new ways of human-machine collaboration. They were jointly done by the partners of this proposal with DFKI being in charge of the technology and Southampton providing the experimental setting within their nursing school that puts hundreds of professional nurses and nurse candidates through elaborate training simulations each year. The experiments have shown that sensor-based activity recognition combined with novel interaction techniques can, in principle provide significant benefit to both the students and the trainers. They also generate significant interest within the health care community, which included both enthusiasms for the potential and sepsis on potential problems. In this project, we want to understand which parts of the experiments are suitable for short to mid-term transition into real life education practice, how to overcome the corresponding technical, regulatory and social hurdles and how the introduction of such systems could be financed.

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The information about "SMARTNURSE" are provided by the European Opendata Portal: CORDIS opendata.

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