Quality Management System for Clinical Nutrition: On the processing of the Artificial Intelligence into Quality Assessment

2021 ◽  
Vol 4 (3) ◽  
pp. 01-06
Author(s):  
Chen Pan
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Quality Management ◽  
Human Resource Management ◽  
Quality Assessment ◽  
Human Resource ◽  
Management System ◽  
Quality Management System ◽  
Clinical Nutrition ◽  
Medical Quality

Objective: To critically evaluate the Quality Management System (QMS) for Clinical Nutrition (CN) in Jiangsu. Monitor its performance in quality assessment as well as human resource management from nutrition aspect. Investigate the appliance and development of Artificial Intelligence (AI) in medical quality control. Subjects: The study source of this research was all the staffs of 70 Clinical Nutrition Department (CND) of the tertiary hospitals in Jiangsu Province, China. These departments are all members of the Quality Management System of Clinical Nutrition in Jiangsu (QMSNJ). Methods: An online survey was conducted on all 341 employees within all these CNDs based on the staff information from the surveyed medical institutions. The questionnaire contains 5 aspects, while data analysis and AI evaluation were focused on human resource information. Results: 330 questionnaires were collected with the respondent rate of 96.77%. The QMS for CN has been build up for CNDs in Jiangsu, which achieved its target in human resource improvements, especially among dietitians. The increasing number of participated departments (42.8%) and the significant growth of dietitians (p=0.02, t=-0.42) are all expressions of the advancements of QMSNJ. Conclusion: As the first innovation of an online platform for QM in Jiangsu, JPCNMP has been successfully implemented among QMS from this research. This multidimensional electronic system can help QMSNJ and CND achieve quality assessment from various aspects, so as to realize the continuous improvement of clinical nutrition. The instrument of online platform, as well as AI technology for quality assessment is worth to be recommended and promoted in the future. Strengths This is the first evaluation of the online QM platform after its implementation in daily disciplinary management among the QMS in china. This research has been designed to investigate the status of CND multidimensionally. This analysis is emphasizing on the human resource approvement after the designation and application of QMS. A clearer forecast of AI in medical quality assessment and disciplinary construction was achieved, while some modifications are recommended in human resource management to improve its efficiency and accuracy.

Quality Management System for Clinical Nutrition (Preprint)

2021 ◽  
Author(s):  
Jin Wang ◽  
Xianghua Ma
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Quality Assessment ◽  
Human Resource ◽  
Management System ◽  
Quality Management System ◽  
Electronic System ◽  
Health Science ◽  
Clinical Nutrition ◽  
Medical Quality

BACKGROUND From the perspective of medical ethics, patient safety is the core before any other factors within health science. As the application of health science, medical services are inseparable from the safety of patients' lives and medical ethics. Scope of its practice is composed of statutory and individual components, includes codes of ethics and other resources. As the Quality Management Center of Clinical Nutrition in Jiangsu, it is the system`s responsibility to standardize and improve the professional performance within the province`s tertiary hospitals. Their quality assessment comes from the reported data of all CND among these hospitals, such as human and material resource, professional practice, foodservice operation, patient`s satisfaction, and nutrition education presentation for hospital and community. Within this information era, most of the current information is network-based, as well as the data of healthcare. An electronic system that automatically collects medical information can realize timely monitoring of patient health, improve the effectiveness and accuracy of medical treatment. From a medical quality perspective, a reliance intelligent management system can improve data curation, reduce human resource costs, and contribute to facilitating continuous improvement. As one of the inventions in the information era, AI shows its strong adaptability to the network-based health-care system. It can be introduced into clinical behavior detection accurately and automatically, and of great significance for reducing the incidence of treatment errors and ensuring patients safety. However, the amount of digital data has increased dramatically after the appliance of online system5. A crucial consequence is that data management has become more complex, which has increased the necessity for methods that are able to deal with the quality assessment of digital information. From the perspective of QM and the discipline development of a medical specialty, such as CN, the specific indicators and the application evaluation of AI are important to achieving quality control goals. To our knowledge, the application of AI into medical service quality assessment has merely been evaluated, especially for CND. There existed a unified platform for all the QM centers of various medical specialties set up by the Jiangsu Provincial Health Commission. After its broken-down in October 2017, the QMCNJ became the first center to independently develop and promote the application of its online platforms named “Jiangsu Province Clinical Nutrition Management Platform”. It was officially launched in the QMSNJ in 2019 and successfully promoted to 70 CND within the quality control system. They are required to fill in relevant information regularly in accordance with the regulations of “Strengthening the Management of Provincial Medical Quality Management System” formulated by JPHC, which has revised in September 2020. Since the stable application of this platform for two years, its effect in QM required to be validated. At the same time, the application value of AI and the development of the CND in Jiangsu can also be clarified. OBJECTIVE To critically evaluate the Quality Management System (QMS) for Clinical Nutrition (CN) in Jiangsu. Monitor its performance in quality assessment as well as human resource management from nutrition aspect. Investigate the appliance and development of Artificial Intelligence (AI) in medical quality control. METHODS Subjects: The study source of this research was all the staffs of 70 Clinical Nutrition Department (CND) of the tertiary hospitals in Jiangsu Province, China. These departments are all members of the Quality Management System of Clinical Nutrition in Jiangsu (QMSNJ). Methods: An online survey was conducted on all 341 employees within all these CNDs based on the staff information from the surveyed medical institutions. The questionnaire contains 5 aspects, while data analysis and AI evaluation were focused on human resource information. RESULTS 330 questionnaires were collected with the respondent rate of 96.77%. The QMS for CN has been build up for CNDs in Jiangsu, which achieved its target in human resource improvements, especially among dietitians. The increasing number of participated departments (42.8%) and the significant growth of dietitians (p=0.02, t=-0.42) are all expressions of the advancements of QMSNJ. CONCLUSIONS As the first innovation of an online platform for QM in Jiangsu, JPCNMP has been successfully implemented among QMS from this research. This multidimensional electronic system can help QMSNJ and CND achieve quality assessment from various aspects, so as to realize the continuous improvement of clinical nutrition. The instrument of online platform, as well as AI technology for quality assessment is worth to be recommended and promoted in the future.

scholarly journals Assessment of Quality Management System for Clinical Nutrition in Jiangsu

2021 ◽  
Vol 3 (2) ◽  
pp. 01-07
Author(s):  
Chen Pan ◽  
Jin Wang ◽  
Xianghua Ma
Keyword(s):  
Quality Management ◽  
Quality Assessment ◽  
Human Resource ◽  
Management System ◽  
Online Survey ◽  
Quality Management System ◽  
Electronic System ◽  
Clinical Nutrition ◽  
Online Platform ◽  
Medical Quality

Objective: To critically evaluate the Quality Management System (QMS) for Clinical Nutrition (CN) in Jiangsu. Monitor its performance in quality assessment as well as human resource management from nutrition aspect. Investigate the appliance and development of Artificial Intelligence (AI) in medical quality control. Materials and Methods: The study source of this research was all the staffs of 70 Clinical Nutrition Department (CND) of the tertiary hospitals in Jiangsu Province, China. These departments are all members of the Quality Management System of Clinical Nutrition in Jiangsu (QMSNJ). An online survey was conducted on all 341 employees within all these CNDs based on the staff information from the surveyed medical institutions. The questionnaire contains 5 aspects, while data analysis and AI evaluation were focused on human resource information. An paired sample t-Test was conducted to determine differences between their situation in 2018 and 2020 the application of JPCNMP. Results: 330 questionnaires were collected with the respondent rate of 96.77%. The QMS for CN has been build up for CNDs in Jiangsu, which achieved its target in human resource improvements, especially among dietitians. The increasing number of participated departments (42.8%) and the significant growth of dietitians (p=0.02, t=-0.42) are all expressions of the advancements of QMSNJ. Conclusion: As the first innovation of an online platform for QM in Jiangsu, JPCNMP has been successfully implemented among QMS from this research. This multidimensional electronic system can help QMSNJ and CND achieve quality assessment from various aspects, so as to realize the continuous improvement of clinical nutrition. The instrument of online platform, as well as AI technology for quality assessment is worth to be recommended and promoted in the future.

Assessment of Quality Management System for Clinical Nutrition in Jiangsu

2021 ◽  
Author(s):  
Jin Wang ◽  
Xianghua Ma ◽  
Chen Pan
Keyword(s):  
Quality Management ◽  
Quality Assessment ◽  
Human Resource ◽  
Management System ◽  
Online Survey ◽  
Quality Management System ◽  
Electronic System ◽  
Clinical Nutrition ◽  
Online Platform ◽  
Medical Quality

Abstract Objective: To critically evaluate the Quality Management System (QMS) for Clinical Nutrition (CN) in Jiangsu. Monitor its performance in quality assessment as well as human resource management from nutrition aspect. Investigate the appliance and development of Artificial Intelligence (AI) in medical quality control.Data Source: The study source of this research was all the staffs of 70 Clinical Nutrition Department (CND) of the tertiary hospitals in Jiangsu Province, China. These departments are all members of the Quality Management System of Clinical Nutrition in Jiangsu (QMSNJ).Methods: An online survey was conducted on all 341 employees within all these CNDs based on the staff information from the surveyed medical institutions. The questionnaire contains 5 aspects, while data analysis and AI evaluation were focused on human resource information. Results: 330 questionnaires were collected with the respondent rate of 96.77%. The QMS for CN has been build up for CNDs in Jiangsu, which achieved its target in human resource improvements, especially among dietitians. The increasing number of participated departments (42.8%) and the significant growth of dietitians (p=0.02, t=-0.42) are all expressions of the advancements of QMSNJ.Conclusion: As the first innovation of an online platform for QM in Jiangsu, JPCNMP has been successfully implemented among QMS from this research. This multidimensional electronic system can help QMSNJ and CND achieve quality assessment from various aspects, so as to realize the continuous improvement of clinical nutrition. The instrument of online platform, as well as AI technology for quality assessment is worth to be recommended and promoted in the future.

scholarly journals Assessment of the Quality Management System for Clinical Nutrition in Jiangsu: Survey Study

10.2196/27285 ◽  
2021 ◽  
Vol 5 (9) ◽  
pp. e27285
Author(s):  
Jin Wang ◽  
Chen Pan ◽  
Xianghua Ma
Keyword(s):  
Quality Management ◽  
Quality Assessment ◽  
Human Resource ◽  
Management System ◽  
Quality Management System ◽  
Electronic System ◽  
Jiangsu Province ◽  
Clinical Nutrition ◽  
Online Platform ◽  
Medical Institutions

Background An electronic system that automatically collects medical information can realize timely monitoring of patient health and improve the effectiveness and accuracy of medical treatment. To our knowledge, the application of artificial intelligence (AI) in medical service quality assessment has been minimally evaluated, especially for clinical nutrition departments in China. From the perspective of medical ethics, patient safety comes before any other factors within health science, and this responsibility belongs to the quality management system (QMS) within medical institutions. Objective This study aims to evaluate the QMS for clinical nutrition in Jiangsu, monitor its performance in quality assessment and human resource management from a nutrition aspect, and investigate the application and development of AI in medical quality control. Methods The participants for this study were the staff of 70 clinical nutrition departments of the tertiary hospitals in Jiangsu Province, China. These departments are all members of the Quality Management System of Clinical Nutrition in Jiangsu (QMSNJ). An online survey was conducted on all 341 employees within all clinical nutrition departments based on the staff information from the surveyed medical institutions. The questionnaire contains five sections, and the data analysis and AI evaluation were focused on human resource information. Results A total of 330 questionnaires were collected, with a response rate of 96.77% (330/341). A QMS for clinical nutrition was built for clinical nutrition departments in Jiangsu and achieved its target of human resource improvements, especially among dietitians. The growing number of participating departments (an increase of 42.8% from 2018 to 2020) and the significant growth of dietitians (t93.4=–0.42; P=.02) both show the advancements of the QMSNJ. Conclusions As the first innovation of an online platform for quality management in Jiangsu, the Jiangsu Province Clinical Nutrition Management Platform was successfully implemented as a QMS for this study. This multidimensional electronic system can help the QMSNJ and clinical nutrition departments achieve quality assessment from various aspects so as to realize the continuous improvement of clinical nutrition. The use of an online platform and AI technology for quality assessment is worth recommending and promoting in the future.

Human Resource Management System Based on Artificial Intelligence

2021 ◽  
Vol 7 (5) ◽  
pp. 4852-4859
Author(s):  
Yu Zhou
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Management System ◽  
Resource Scheduling ◽  
Assessment System ◽  
Human Resource Management System ◽  
Resource Management System ◽  
Scheduling Model

Objectives: In recent years, human resource management system (HRMS) has increasingly become an effective tool for enterprises to carry out modern human resource management. Methods: The human resource management system is studied based on artificial intelligence. A clustering algorithm based on human resource management is proposed. By comprehensively analyzing the influencing factors of the human resources assessment system, a human resource assessment system is constructed. Results: Aiming at the characteristics of human resource scheduling in software projects, the human resource scheduling model of software project is established. The practical application level of human resource scheduling model is improved by using artificial intelligence technology to introduce proficiency parameters. Conclusion: Then the performance evaluation of system core module is verified by case, which is the specific algorithm and implementation effect of the module.

scholarly journals Analisis Pengaruh Faktor –Faktor Total Quality Management (Tqm) Terhadap Kinerja Perusahaan Pt Xyz

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Vania Novianty
Keyword(s):  
Resource Management ◽  
Quality Management ◽  
Strategic Planning ◽  
Total Quality Management ◽  
Human Resource Management ◽  
Product Quality ◽  
Human Resource ◽  
Management System ◽  
Process Management ◽  
Total Quality

This research was conducted at PT XYZ, a national construction company that offers design and construction services. The condition of PT XYZ is still weak in terms of company’s performance such as inefficient management, limited fund, technological limitations, tools, methods, and low quality human resources. Therefore, it is necessary to select a management system that can help the company to maintain product quality and improve company’s performance. This paper identifies management system decision that may assist company to maintain product quality and increase company’s performance for example Total Quality Management (TQM).TQM consist of six dimensions of leadership, strategic planning, customer focus, use of information and analysis, human resource management, and process management. The methods of data collection were conducted through interview and questionnaires. The samples used in this research are 185 employees, however valid usable data submitted were 176 data. The analysis uses multiple regression method on Statistical Package Social Science (SPSS) software as its single processing tool. The results show that leadership, customer focus, human resource management, and process management were significantly influence company’s performance, but strategic planning and usage of information and analysis were not significantly influence company’s performance.

scholarly journals Development and improvement of HR policy in the transport industry

2020 ◽  
Vol 164 ◽  
pp. 10018
Author(s):  
Elena Karanina ◽  
Asya Kotandzhyan ◽  
Natalya Vershinina ◽  
Julia Davydova
Keyword(s):  
Human Capital ◽  
Resource Management ◽  
Quality Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Quality Management System ◽  
Innovative Approach ◽  
Human Capital Management ◽  
Personnel Policy ◽  
Transport Industry

The article discusses various approaches to the formation of personnel policy in the transport industry, provides an overview of research and work on this topic; substantiates the need for the implementation of certain measures for the development and improvement of human resource management; the interrelation between the management of the personnel component and the improvement of the quality management system is reflected. Speaking about the importance of improving personnel policy in the transport industry, it is emphasized the need to include mandatory activities as part of an innovative approach to human capital management.

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