Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Text Data Mining of Risk Management Process for Human Resource Management from the Aged Care Quality Reports

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322863,
        author={Meiting  Wu and Yingying  Sun and Tao  Jiang},
        title={Text Data Mining of Risk Management Process for Human Resource Management from the Aged Care Quality Reports},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={risk factors human resource management aged care quality reports},
        doi={10.4108/eai.17-6-2022.2322863}
    }
    
  • Meiting Wu
    Yingying Sun
    Tao Jiang
    Year: 2022
    Text Data Mining of Risk Management Process for Human Resource Management from the Aged Care Quality Reports
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322863
Meiting Wu1, Yingying Sun2, Tao Jiang2,*
  • 1: Shanghai University of Medicine and Health Sciences
  • 2: Guilin Medical University
*Contact email: tj290@uowmail.edu.au

Abstract

This study aimed to compare and test two different research methods for study Australian Aged Care Quality reports to identify risk factors for human resource management. The original 2,876 Aged Care Quality reports were released from March 8, 2015 to December 31, 2018, and they were extracted and loaded into a designed PostgreSQL database. Two typical research methods (‘Pdf(word) advanced search’ and ‘Pdf(word)-text-mining’ based on python) were tested and compared for identifying risk factors from human resource management. Qualitative data analysis was further conducted on these accreditation reports to understand why an RAC home failed in human resource management. There was no significant difference in using different two methods for identify failed Aged Care Quality reports in accuracy. ‘Pdf(word)-text-mining’ has advantages in efficiently analysing structured data and special term in aged care. We found 62 aged care quality reports that recorded failure of at human resource management by ‘Pdf(word)-text-mining’.