Quality Credit Supervision Research Based on Minimum Dataset: With the Licensed Enterprises in Kunming of China for Case

Quality Credit Supervision Research Based on Minimum Dataset: With the Licensed Enterprises in Kunming of China for Case

Qianyanhui Qian (Yunnan University of Finance and Economics, Kunming, China) and Wenqi Liu (Kunming University of Science and Technology, Kunming, China)
Copyright: © 2016 |Pages: 10
DOI: 10.4018/IJFSA.2016040105
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Abstract

As a social management and public service sector, it is convenient for the government to collect and use data, and hence business data become the origin of the big data of government. In order to improve the scientific level of government supervision and management, it is necessary to strengthen the scientific arrangement by using the existing service data. This paper takes a successful example of implementation of e-government, which is “basic quality and technical supervision and management information system” using by bureau of quality and technical supervision in Kunming. After obtaining the quality information from the original public database, this paper used the thinking model which combining the quality credit information and the minimum dataset, then choosing candidate factors with importance rating from minimum dataset by using R language and random forest algorithm. At last, forming and analyzing the minimum dataset of enterprise quality credit supervision through logical argument.
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Relevant Concepts

“Minimum data set (MDS) refers to a good grasp of the most important characteristic of an object or the state of a job by collecting the least data, the core is to set up a series of concise and practical data indicators direct at observed object. The concept of minimum dataset came from medical field in the United States. Minimum dataset results from the need of information exchange, like the relationship between supervisor and enterprises, supervisor and social public, enterprises and social public, all have demand of information exchange. Therefore public sectors need to build a similar “port” database in order to realize information exchange and sharing. In 1973, under the auspices of The National Committee on Vital and Health Statistics (NCVHS), to standardize the information collection of the discharged patients, the United States made the unitive discharged patients’ minimum dataset for the first time. Due to its strong practical, the concept of minimum dataset was quickly promoted in the medical field. In recent decades, the new minimum dataset is defined, developed and promoted almost every year, derived a variety of specific minimum dataset. As time goes on, minimum dataset has evolved into a general concept in the United State, it refers to a kind of mandatory data for public service management field collected by the national management level. Of course, views about “minimum” are divided. Different managers, policy makers, public service providers and receivers will have different needs and views, whether an index into the scope of the minimum data depends on observer, different angles and the different methods of management will produce different views. Minimum dataset was applied in China began in the field of medical and health research and application from 2003; by 2006 the ministry of health in China issued the first edition of the Chinese hospital minimum dataset standards.

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