MedClick: Last Minute Medical Appointments No-Show Management

Inês Ferreira, André Vasconcelos

2019

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 is based on features related to the respective clinic and patient, which requires access to the database.

Paper Citation

in Harvard Style

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 (BIOSTEC 2019) - Volume 5: HEALTHINF; ISBN 978-989-758-353-7, SciTePress, pages 206-215. DOI: 10.5220/0007260702060215

in Bibtex Style

@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 (BIOSTEC 2019) - Volume 5: HEALTHINF},
year={2019},
pages={206-215},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007260702060215},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - 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
PB - SciTePress