Leveraging Health Informatics to Enhance Outpatient Chemotherapy Operations Management

Majed Hadid, Adel Elomri, Regina Padmanabhan

2024

Abstract

The rise in demand for cancer care services, particularly outpatient chemotherapy, highlights the importance of improving the management of outpatient chemotherapy operations (OCOM). Despite the numerous studies addressing OCOM issues, the existing literature has mostly focused on problem-driven research. In this study, we aimed to utilize data-driven research to identify opportunities for improvement and address research challenges. To achieve this goal, we collected extensive operational data from a large chemotherapy center and performed a thorough analysis. Our findings revealed four key research challenges, including the prediction of length of stay, change in patient drug posting weight, delay in appointment admission, and stochasticity in drug administration duration. To address these challenges, we developed two machine learning models to predict these outcomes, utilizing 15 features and highlighting the most important features. Our results showed an efficient performance in predicting the outcomes using the XGBoost model, emphasizing the potential of data-driven research in improving OCOM.

Paper Citation

in Harvard Style

Hadid M., Elomri A. and Padmanabhan R. (2024). Leveraging Health Informatics to Enhance Outpatient Chemotherapy Operations Management. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-688-0, SciTePress, pages 378-384. DOI: 10.5220/0012348600003657

in Bibtex Style

@conference{healthinf24,
author={Majed Hadid and Adel Elomri and Regina Padmanabhan},
title={Leveraging Health Informatics to Enhance Outpatient Chemotherapy Operations Management},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2024},
pages={378-384},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012348600003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Leveraging Health Informatics to Enhance Outpatient Chemotherapy Operations Management
SN - 978-989-758-688-0
AU - Hadid M.
AU - Elomri A.
AU - Padmanabhan R.
PY - 2024
SP - 378
EP - 384
DO - 10.5220/0012348600003657
PB - SciTePress