Research Article
SCAUT: Using patient-generated data to improve remote monitoring of cardiac device patients
@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
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.
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