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

Department of Computer Science

1 Citation (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.

Original language	English
Title of host publication	Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare
Editors	Nuria Oliver, Mary Czerwinski, Aleksandar Matic
Number of pages	4
Publisher	Association for Computing Machinery
Publication date	23 May 2017
Pages	444-447
ISBN (Print)	978-1-4503-6363-1
DOIs	https://doi.org/10.1145/3154862.3154922
Publication status	Published - 23 May 2017
Event	the 11th EAI International Conference - Barcelona, Spain Duration: 23 May 2017 → 26 May 2017

Conference

Conference	the 11th EAI International Conference
Country/Territory	Spain
City	Barcelona,
Period	23/05/2017 → 26/05/2017

Access to Document

10.1145/3154862.3154922

Cite this

Andersen, T. O., & Moll, J. (2017). SCAUT: using patient-generated data to improve remote monitoring of cardiac device patients. In N. Oliver, M. Czerwinski, & A. Matic (Eds.), Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (pp. 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. ed. / Nuria Oliver; Mary Czerwinski; Aleksandar Matic. Association for Computing Machinery, 2017. p. 444-447.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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

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