Remote Patient Monitoring Systems based on Conversational Agents for Health Data Collection

Pedro Dias, Pedro Dias, Miguel Cardoso, Federico Guede-Fernandez, Ana Martins, Ana Londral, Ana Londral

2022

Abstract

The pursue of digital health has been increasing in the past years and the COVID-19 pandemic promoted it further. Remote monitoring health care allows patients to report health outcomes and receive a proper follow-up from home and personalized health care by preventing unnecessary trips to hospitals. The design, development and use of two rule-based chatbots for data collection and guidance providing in two health telemonitoring contexts, post-cardiothoracic surgery for derived-complications control and patients with hypocoagulation, is described in this paper. The designed chatbots have the goal of being simple, modular and human guided. The first chatbot was used to collect photos from the surgical wound and the second was used to collect the INR value (from a coagulometer) and six related questions, following a measurement plan. In both use cases the clinical team could analyze the collected data and interact with patients using a web application. This chatbot may contribute to the increase of the safety perception of the patient and their engagement with their health status. The inclusion of the clinical team in the development was key to identify the requirements and to improve the user experience.

Paper Citation

in Harvard Style

Dias P., Cardoso M., Guede-Fernandez F., Martins A. and Londral A. (2022). Remote Patient Monitoring Systems based on Conversational Agents for Health Data Collection. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: Scale-IT-up, ISBN 978-989-758-552-4, pages 812-820. DOI: 10.5220/0011011000003123

in Bibtex Style

@conference{scale-it-up22,
author={Pedro Dias and Miguel Cardoso and Federico Guede-Fernandez and Ana Martins and Ana Londral},
title={Remote Patient Monitoring Systems based on Conversational Agents for Health Data Collection},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: Scale-IT-up,},
year={2022},
pages={812-820},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011011000003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: Scale-IT-up,
TI - Remote Patient Monitoring Systems based on Conversational Agents for Health Data Collection
SN - 978-989-758-552-4
AU - Dias P.
AU - Cardoso M.
AU - Guede-Fernandez F.
AU - Martins A.
AU - Londral A.
PY - 2022
SP - 812
EP - 820
DO - 10.5220/0011011000003123