BERT-based Outpatient Process Intelligent Consulting Model for Hospitals
Frontiers in Science and Engineering, (2025), Vol.5, No.1, pp.23-29
Published: January 21, 2025
DOI: 10.54691/h2ab9z02
Abstract
This study designs and implements an intelligent consultation model for hospital outpatient processes based on the BERT model. We collected and preprocessed data from various hospital outpatient processes and fine-tuned the pretrained BERT model. The model provides customized outpatient process information and recommendations based on user-input queries. We developed a user-friendly interface allowing patients to easily access guidance on appointments, registration, examinations, and medication collection. Experimental results demonstrate significant improvements in accuracy and practicality, offering a new intelligent solution for hospital management and patient services.
Keywords:
BERT model; hospital outpatient processes; intelligent consultation; health information technology.
APA Citation:
Qi Fang (2025). BERT-based Outpatient Process Intelligent Consulting Model for Hospitals. Frontiers in Science and Engineering, 5(1), 23-29. https://doi.org/10.54691/h2ab9z02
References
- Chen, Y., & Chen, S. (2019). Smart healthcare services for elderly patients: A review. International Journal of Medical Informatics, 128, 38-48.
- Liu, Y., Wang, J., & Chen, K. (2020). A Review of the BERT Model and Its Applications in Natural Language Processing. Computer Engineering and Applications, 56(22), 1-10.
- Zhou, C., Wang, X., & Tang, T. (2021). Design and Challenges of Medical Intelligent Question Answering Systems.
- Chen, X., Li, L., & Zhang, Q. (2019). Application of Natural Language Processing in Medical Intelligent Question Answering Systems. Modern Computer, 29(11), 48-55.
- Zhang, X., Gao, M., & Xing, Y. (2021). Research on BERT-Based Medical Text Processing Methods. Computer Science and Exploration, 15(6), 1025-1036.
- Information and Control, 50(5), 629-635.
- Wang, M., Xu, C., & Chen, L. (2021). Research on Medical Data Privacy Protection Technologies. Computer Engineering and Applications, 57(7), 75-82.