Construction and application of clinical health workforce database based on the pediatric cancer surveillance information
10.3760/cma.j.cn111325-20240529-00438
- VernacularTitle:基于儿童肿瘤监测信息的临床诊疗卫生人力数据库构建及应用
- Author:
Zhuoyu YANG
1
;
Xin NI
;
Zhe LI
;
Xin XU
;
Xiao ZHANG
;
Guoliang BAI
;
Xinping LI
;
Yingying LIU
;
Chengsong ZHAO
Author Information
1. 国家儿童医学中心 首都医科大学附属北京儿童医院国家儿童肿瘤监测中心，北京 100045
- Publication Type:Journal Article
- Keywords:
Health workforce;
Database;
Clinical diagnosis and treatment;
Conceptual structure;
Logical structure;
Human resources management
- From:
Chinese Journal of Hospital Administration
2024;40(12):937-942
- CountryChina
- Language:Chinese
-
Abstract:
In-depth understanding of the clinical diagnosis and treatment practices of various health workers is of great significance for optimizing the allocation of health workforce. In 2023, based on the surveillance platform of National Center for Pediatric Cancer Surveillance(NCPCS), the NCPCS effectively integrated human resources data with clinical diagnosis and treatment data. By clarifying the conceptual and logical structures of the database, a clinical health workforce database was constructed using a distributed relational database. This database adhered to the data quality control principles of uniqueness, integrity, logic, and validity, and implemented scientific and effective data security protection strategies throughout the entire data life cycle. In practical applications, statistical analyses could be conducted on this database from two dimensions: health workforce and diagnosis-treatment processes, assisting relevant departments and hospitals in the refined management of health workforce allocation and promoting discipline construction. As of May 2024, the database had incorporated 931 hospitals, with the number of various health workers exceeding 640 000. The clinical health workforce database provided references for health administrative departments and hospitals at all levels to grasp the clinical practices of various health workers, and to achieve a clinical-demand-oriented allocation of health workforce.
