BERT-based Outpatient Process Intelligent Consulting Model for Hospitals

Authors

  • Qi Fang

DOI:

https://doi.org/10.54691/h2ab9z02

Keywords:

BERT model; hospital outpatient processes; intelligent consultation; health information technology.

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.

Downloads

Download data is not yet available.

References

[1] Chen, Y., & Chen, S. (2019). Smart healthcare services for elderly patients: A review. International Journal of Medical Informatics, 128, 38-48.

[2] 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.

[3] Zhou, C., Wang, X., & Tang, T. (2021). Design and Challenges of Medical Intelligent Question Answering Systems.

[4] Chen, X., Li, L., & Zhang, Q. (2019). Application of Natural Language Processing in Medical Intelligent Question Answering Systems. Modern Computer, 29(11), 48-55.

[5] 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.

[6] Wang, M., Xu, C., & Chen, L. (2021). Research on Medical Data Privacy Protection Technologies. Computer Engineering and Applications, 57(7), 75-82.

Downloads

Published

21-01-2025

Issue

Section

Articles