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

Tariq O. Andersen; Jonas Moll

doi:10.1145/3154862.3154922

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

Tariq O. Andersen, Jonas Moll

Datalogisk Institut

1 Citationer (Scopus)

Abstract

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.

Originalsprog	Engelsk
Titel	Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare
Redaktører	Nuria Oliver, Mary Czerwinski, Aleksandar Matic
Antal sider	4
Forlag	Association for Computing Machinery
Publikationsdato	23 maj 2017
Sider	444-447
ISBN (Trykt)	978-1-4503-6363-1
DOI	https://doi.org/10.1145/3154862.3154922
Status	Udgivet - 23 maj 2017
Begivenhed	11th EAI International Conference on Pervasive Computing Technologies for Healthcare - Barcelona, Spanien Varighed: 23 maj 2017 → 26 maj 2017

Konference

Konference	11th EAI International Conference on Pervasive Computing Technologies for Healthcare
Land/Område	Spanien
By	Barcelona,
Periode	23/05/2017 → 26/05/2017

Adgang til dokumentet

10.1145/3154862.3154922

Citationsformater

Andersen, T. O., & Moll, J. (2017). SCAUT: using patient-generated data to improve remote monitoring of cardiac device patients. I N. Oliver, M. Czerwinski, & A. Matic (red.), Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (s. 444-447). Association for Computing Machinery. https://doi.org/10.1145/3154862.3154922

SCAUT: using patient-generated data to improve remote monitoring of cardiac device patients. / Andersen, Tariq O.; Moll, Jonas.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. red. / Nuria Oliver; Mary Czerwinski; Aleksandar Matic. Association for Computing Machinery, 2017. s. 444-447.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Andersen, TO & Moll, J 2017, SCAUT: using patient-generated data to improve remote monitoring of cardiac device patients. i N Oliver, M Czerwinski & A Matic (red), Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. Association for Computing Machinery, s. 444-447, 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, Barcelona, Spanien, 23/05/2017. https://doi.org/10.1145/3154862.3154922

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