Research Article
Research on hospital information data statistics under the background of big data and artificial intelligence
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342841, author={Xufan Chen and Tianyi Chai}, title={Research on hospital information data statistics under the background of big data and artificial intelligence}, proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India}, publisher={EAI}, proceedings_a={ICSETPSD}, year={2024}, month={1}, keywords={big data artificial intelligence hospital information data statistics}, doi={10.4108/eai.17-11-2023.2342841} }
- Xufan Chen
Tianyi Chai
Year: 2024
Research on hospital information data statistics under the background of big data and artificial intelligence
ICSETPSD
EAI
DOI: 10.4108/eai.17-11-2023.2342841
Abstract
With the continuous increase of online social media data, data has become a powerful assistant for the competition and development of various industries, and various data statistics and processing analysis tools in big data technology have also developed into necessary tools for enterprises. Applying big data and artificial intelligence technology to hospital information data statistics will reduce the complicated manual statistical process and reduce labor costs. This paper firstly conducts a basic analysis of hospital information data statistics requirements, big data and artificial intelligence technology, and then in order to investigate the current hospital information data statistics, through the questionnaire star online platform, the information data statistics staff of 30 hospitals have been surveyed. After the interview, through the analysis of the questionnaire data, it was found that there are problems in the current hospital information data statistics that the quality of data statistics is poor, the data statistics take a long time and the process is complicated. Finally, based on big data and artificial intelligence technology, the pertinence of the hospital information data statistics problem is designed. Solution: After a second visit to the research object, it was found that the statistical efficiency, cost and accuracy of hospital information using related strategies were greatly improved.