11th EAI International Conference on Pervasive Computing Technologies for Healthcare

Research Article

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

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1145/3154862.3154922,
    author={Tariq Andersen and Jonas Moll},
    title={SCAUT: Using patient-generated data to improve remote monitoring of cardiac device patients},
    proceedings={11th EAI International Conference on Pervasive Computing Technologies for Healthcare},
    publisher={ACM},
    proceedings_a={PERVASIVEHEALTH},
    year={2018},
    month={1},
    keywords={patient-generated data remote monitoring cardiac device patients symptom tracking; aligning concerns},
    doi={10.1145/3154862.3154922}
}
  • Tariq Andersen
    Jonas Moll
    Year: 2018
    SCAUT: Using patient-generated data to improve remote monitoring of cardiac device patients
    PERVASIVEHEALTH
    ACM
    DOI: 10.1145/3154862.3154922
Tariq Andersen1,*, Jonas Moll1
  • 1: Department of Computer Science, University of Copenhagen
*Contact email: tariq@di.ku.dk

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.

Keywords
patient-generated data remote monitoring cardiac device patients symptom tracking; aligning concerns
Published
2018-01-16
Publisher
ACM
http://dx.doi.org/10.1145/3154862.3154922
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