SCAUT: using patient-generated data to improve remote monitoring of cardiac device patients

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Tariq O. Andersen, Jonas Moll

The main problem with remote monitoring of cardiac
device patients relates to inefficient communication.
This is because patients and clinicians are separated in
space and time. In the SCAUT project (2014-2018) we
experiment with asynchronous interaction and explore
how different types of patient-generated data can
improve collaboration. The types of data that patients
generate using the SCAUT patient app includes
symptom experiences (categories/audio/numeric
values), context (activity level/audio), medication list
and travel information. We find that it is very important
to consider how the data that patients enter can
become useful for patients and clinicians
simultaneously.
OriginalsprogEngelsk
TitelProceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare
RedaktørerNuria Oliver, Mary Czerwinski, Aleksandar Matic
Antal sider4
ForlagAssociation for Computing Machinery
Publikationsdato2017
Sider444-447
ISBN (Trykt)978-1-4503-6363-1
DOI
StatusUdgivet - 2017
Begivenhed11th EAI International Conference on Pervasive Computing Technologies for Healthcare - Barcelona, Spanien
Varighed: 23 maj 201726 maj 2017

Konference

Konference11th EAI International Conference on Pervasive Computing Technologies for Healthcare
LandSpanien
ByBarcelona,
Periode23/05/201726/05/2017

ID: 192383533