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

Topics: Augmenting traditional healthcare scenarios by digital health innovations as for example that reduce the gap in care or information some patient groups are facing; Health behavior change through the use of digital health interventions; Implementation research or experience from implementation of digital health innovations

Authors: Pedro Dias 1 ; 2 ; Miguel Cardoso 2 ; Federico Guede-Fernandez 2 ; Ana Martins 2 and Ana Londral 1 ; 2

Affiliations: 1 Comprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisboa, Portugal ; 2 Value for Health CoLAB, Lisboa, Portugal

Keyword(s): Healthcare, Chatbot, Conversational Agents, Cardio-thoracic Surgery, Hypocoagulability, Telemonitorization, Patient-reported Outcomes.

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 th e 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. (More)

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Paper citation in several formats:
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 - Scale-IT-up; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 812-820. DOI: 10.5220/0011011000003123

@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 - Scale-IT-up},
year={2022},
pages={812-820},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011011000003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Scale-IT-up
TI - Remote Patient Monitoring Systems based on Conversational Agents for Health Data Collection
SN - 978-989-758-552-4
IS - 2184-4305
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
PB - SciTePress