How Can We Design a Standardized and Efficient Health Data Management System for Large-Scale Heterogeneous TCM Data?

With the rapid development of medical information technology, the standardization management and storage of large-scale, multi-source, and heterogeneous traditional Chinese medicine (TCM) data has become one of the critical challenges in the current TCM industry. The vast scale and diverse structures of multi-source, heterogeneous TCM data exhibit characteristics such as dispersed data patterns and fragmented data content. These features present numerous governance challenges for TCM data, including inconsistent storage modes, data loss, lack of structure, standardization, and non-intuitive display methods. These challenges severely restrict the effective utilization and retrieval of TCM data, hindering efficient analysis and exploration of patient information. In light of the aforementioned research background, this paper proposes a standardized processing method for large-scale, multi-source, and heterogeneous TCM data. This method employs data cleaning, unified file naming, and other processing techniques to filter and process data. Building upon this foundation, a unified approach based on structured data is designed to link various types of data through user’s basic information using file linkage. This approach can establish effective connections among various test data obtained by patients in the same batch without affecting the original distribution of various types of data, thereby providing a more convenient pathway for the storage, analysis, and standardization of patient data. Furthermore, to enhance the efficiency of TCM information management and the value of data utilization, this paper constructs a health data management system based on standardized data. This system encompasses functions such as data storage, information input and retrieval, and intelligent analysis, enabling TCM medical institutions to rationally allocate medical resources, improve resource utilization efficiency, and reduce medical costs. At the data storage stage, this paper designs a health data storage system based on blockchain technology, which can enhance the security and integrity of user data and promote data sharing among various institutions. The proposed standardized processing method for TCM data and the health data management system can promote the informatization construction of TCM, enhance the level of TCM services, and significantly contribute to improving people’s health status and enhancing the overall benefits of the TCM healthcare system.

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Published
2024-12-03
DOI
https://doi.org/10.1109/bibm62325.2024.10822299
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
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article
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0.71
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How Can We Design a Standardized and Efficient Health Data Management System for Large-Scale Heterogeneous TCM Data?

Yankun Zhang, Weiqiang Lin, Yuhui Zheng, Qingfeng Wu
1 citations
Artificial Intelligence in Healthcare
0.71
article

How Can We Design a Standardized and Efficient Health Data Management System for Large-Scale Heterogeneous TCM Data?

Yankun Zhang, Weiqiang Lin, Yuhui Zheng, Qingfeng Wu
article en
1 citations

Abstract

With the rapid development of medical information technology, the standardization management and storage of large-scale, multi-source, and heterogeneous traditional Chinese medicine (TCM) data has become one of the critical challenges in the current TCM industry. The vast scale and diverse structures of multi-source, heterogeneous TCM data exhibit characteristics such as dispersed data patterns and fragmented data content. These features present numerous governance challenges for TCM data, including inconsistent storage modes, data loss, lack of structure, standardization, and non-intuitive display methods. These challenges severely restrict the effective utilization and retrieval of TCM data, hindering efficient analysis and exploration of patient information. In light of the aforementioned research background, this paper proposes a standardized processing method for large-scale, multi-source, and heterogeneous TCM data. This method employs data cleaning, unified file naming, and other processing techniques to filter and process data. Building upon this foundation, a unified approach based on structured data is designed to link various types of data through user’s basic information using file linkage. This approach can establish effective connections among various test data obtained by patients in the same batch without affecting the original distribution of various types of data, thereby providing a more convenient pathway for the storage, analysis, and standardization of patient data. Furthermore, to enhance the efficiency of TCM information management and the value of data utilization, this paper constructs a health data management system based on standardized data. This system encompasses functions such as data storage, information input and retrieval, and intelligent analysis, enabling TCM medical institutions to rationally allocate medical resources, improve resource utilization efficiency, and reduce medical costs. At the data storage stage, this paper designs a health data storage system based on blockchain technology, which can enhance the security and integrity of user data and promote data sharing among various institutions. The proposed standardized processing method for TCM data and the health data management system can promote the informatization construction of TCM, enhance the level of TCM services, and significantly contribute to improving people’s health status and enhancing the overall benefits of the TCM healthcare system.

Xiamen University (CN)
Openalex Percentile: Top 18%
Artificial Intelligence in Healthcare
0.71
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