Current status of clinical nutrition department in tertiary hospitals in Jiangsu

Pan, Chen; Wang, J.

doi:10.1016/j.jemep.2020.100620

Cited by 7 publications

(7 citation statements)

References 11 publications

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“…The advancement of CN departments’ staff resources might be mainly related to the expansion of the QMSNJ, which has proved the QMCNJ has achieved initial results in the QM of human resources engaged in CN in Jiangsu in recent years. However, judging from the comparison of the personnel situation of the 48 original CN departments, which had been involved in the 2018 QMSNJ and participated in the last construction survey [ 10 ], the number of their dietitians has increased significantly ( t 93.4 =–0.42; P =.02). Simultaneously, the number of clinicians in relevant departments is the same, and the number of nurses has shown a decreasing trend without statistical significance.…”

Section: Discussionmentioning

confidence: 99%

“…The current construction of the CN departments and their human resources has been clarified with this description. Comparing it with the corresponding data when the online management system was not activated, which is documented in the survey Current Status of the Clinical Nutrition Departments Among Tertiary Hospitals in Jiangsu Province [ 10 ] conducted by our research team in 2018, a preliminary evaluation of the quality control progress was obtained.…”

Section: Methodsmentioning

confidence: 99%

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

Wang¹,

Pan²,

Ma³

2021

JMIR Form Res

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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

Wang¹,

Pan²,

Ma³

2021

JMIR Form Res

Self Cite

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“…The current construction of the CND and their human resource has been clarified with this description. Comparing it with the corresponding data when the online management system was not activated, which is documented in the survey "Current Status of the CND among tertiary hospitals in Jiangsu Province" [7] conducted by our research team in 2018, a preliminary evaluation result of the progress of the quality control was obtained. Another criterion is the consistency between "Numbers of Colleges in your Department" in the "Hospital Information" and the number of documented staffs of the CND in their HIS system.…”

Section: Discussionmentioning

confidence: 99%

“…The advancement of CND`s staff resource might be mainly related to the expansion of QMSNJ, which has proved the QMCNJ has achieved initial results in the QM of human resource engaged in CN in Jiangsu in recent years. However, judging from the comparison of the personnel situation of the 48 original CNDs, which had been involved in the 2018 QMSNJ and participated in the last construction survey [7], the number of their dietitians has increased significantly (p=0.02, t=-0.42). From the perspective of balancing the CN resources and health service requirements, the results confirmed that the medical institution and the department`s director had realized the importance of a solid foundation of professional staff to improve the quality of specialist work and ensure patient safety.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Quality Management System for Clinical Nutrition in Jiangsu

Chen¹,

Wang²,

Ma³

2021

JCLR

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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.

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“…The current construction of the CND and their human resource has been clarified with this description. Comparing it with the corresponding data when the online management system was not activated, which is documented in the survey "Current Status of the CND among tertiary hospitals in Jiangsu Province" conducted by our research team in 2018, a preliminary evaluation result of the progress of the quality control was obtained [7].…”

Section: Discussionmentioning

confidence: 99%

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

Pan¹,

Jin²,

Ma³

2021

JNFP

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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.

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Current status of clinical nutrition department in tertiary hospitals in Jiangsu

Cited by 7 publications

References 11 publications

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

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

Assessment of Quality Management System for Clinical Nutrition in Jiangsu

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

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