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Authors: Inês Ferreira 1 and André Vasconcelos 2

Affiliations: 1 Instituto Superior Técnico, Lisbon, Portugal ; 2 Instituto Superior Técnico, Lisbon, Portugal, Instituto de Engenharia de Sistemas e Computadores, Investigaç ão e Desenvolvimento (INESC-ID), Lisbon, Portugal

ISBN: 978-989-758-353-7

Keyword(s): No-show, MedClick, Health Care, Supervised Learning, Logistic Regression, Prediction.

Abstract: A no-show is one of the phenomena that leads to an efficiency decrease in various sectors, including in the health care sector. When a scheduled patient misses an appointment without cancelling, it will not only waste the clinic’s resources, but it will also deny medical service to another patient who could have benefited from the respective time slot. This paper describes the research that is being developed in the context of MedClick, an online platform that aims to help medical service providers increase the efficiency of their practices. The solution supports the reduction of no-shows by predicting their occurrence and finding replacements to fulfill “last-minute” vacancy slots. A supervised learning algorithm (logistic regression) is being implemented and it will be used to predict the probability of no-show for each patient. The system will run this algorithm 48 hours before each appointment so that there is still enough time to find a replacement, if necessary. The prediction i s based on features related to the respective clinic and patient, which requires access to the database. (More)

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Paper citation in several formats:
Ferreira, I. and Vasconcelos, A. (2019). MedClick: Last Minute Medical Appointments No-Show Management.In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-353-7, pages 206-215. DOI: 10.5220/0007260702060215

@conference{healthinf19,
author={Inês Ferreira. and André Vasconcelos.},
title={MedClick: Last Minute Medical Appointments No-Show Management},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2019},
pages={206-215},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007260702060215},
isbn={978-989-758-353-7},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - MedClick: Last Minute Medical Appointments No-Show Management
SN - 978-989-758-353-7
AU - Ferreira, I.
AU - Vasconcelos, A.
PY - 2019
SP - 206
EP - 215
DO - 10.5220/0007260702060215

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