Objective:To understand the current situation of work performance and influencing factors of medical staff in tertiary hospitals in Henan Province,in order to provide references for improving their performance level.Methods:An electronic questionnaire was used to investigate the work engagement and work performance of medical staff in a sample hospital in Henan Province,and multiple regression analysis was used to explore the relationship between work engagement and work performance.Results:The total score of medical staff's job performance was 45.18±5.78;Cronbach's α coefficient of the questionnaire's reliability ranged from 0.870 to 0.964;medical staff's job commitment was positively correlated with their job performance;and the highest level of educational attainment,occupational category,and job commitment were the main influencing factors of job performance(P＜0.05).Conclusion:There is still much room for improvement in the work performance of medical staff in tertiary hospitals in Henan Province,and hospitals should focus on improving the work capacity of medical staff and actively improving work engagement in order to enhance the level of medical staff performance.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Purpose/Significance The processing links and key technologies of health care big data are deeply discussed to provide in-formation support and guarantee for further promoting the application of health care big data.Method/Process According to the scientific research paradigm driven by big data,and based on the process perspective,the paper introduces the sources and characteristics of health care big data,analyzes the processing links and key technologies of big data,and discusses the current challenges and future development directions of health care big data processing.Result/Conclusion Both China and foreign countries have achieved innovative development in technologies for health care big data processing.However,there are still some challenges in multi-dimensional data collection,multi-mo-dal data integration,large model data analysis,and data security.In the future,through building a comprehensive platform of big data pro-cessing,and developing or integrating targeted functional modules,the existing problems can be effectively addressed.

Objective:To understand the current situation of work performance and influencing factors of medical staff in tertiary hospitals in Henan Province,in order to provide references for improving their performance level.Methods:An electronic questionnaire was used to investigate the work engagement and work performance of medical staff in a sample hospital in Henan Province,and multiple regression analysis was used to explore the relationship between work engagement and work performance.Results:The total score of medical staff's job performance was 45.18±5.78;Cronbach's α coefficient of the questionnaire's reliability ranged from 0.870 to 0.964;medical staff's job commitment was positively correlated with their job performance;and the highest level of educational attainment,occupational category,and job commitment were the main influencing factors of job performance(P＜0.05).Conclusion:There is still much room for improvement in the work performance of medical staff in tertiary hospitals in Henan Province,and hospitals should focus on improving the work capacity of medical staff and actively improving work engagement in order to enhance the level of medical staff performance.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective:To understand the current situation of work performance and influencing factors of medical staff in tertiary hospitals in Henan Province,in order to provide references for improving their performance level.Methods:An electronic questionnaire was used to investigate the work engagement and work performance of medical staff in a sample hospital in Henan Province,and multiple regression analysis was used to explore the relationship between work engagement and work performance.Results:The total score of medical staff's job performance was 45.18±5.78;Cronbach's α coefficient of the questionnaire's reliability ranged from 0.870 to 0.964;medical staff's job commitment was positively correlated with their job performance;and the highest level of educational attainment,occupational category,and job commitment were the main influencing factors of job performance(P＜0.05).Conclusion:There is still much room for improvement in the work performance of medical staff in tertiary hospitals in Henan Province,and hospitals should focus on improving the work capacity of medical staff and actively improving work engagement in order to enhance the level of medical staff performance.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective:To understand the current situation of work performance and influencing factors of medical staff in tertiary hospitals in Henan Province,in order to provide references for improving their performance level.Methods:An electronic questionnaire was used to investigate the work engagement and work performance of medical staff in a sample hospital in Henan Province,and multiple regression analysis was used to explore the relationship between work engagement and work performance.Results:The total score of medical staff's job performance was 45.18±5.78;Cronbach's α coefficient of the questionnaire's reliability ranged from 0.870 to 0.964;medical staff's job commitment was positively correlated with their job performance;and the highest level of educational attainment,occupational category,and job commitment were the main influencing factors of job performance(P＜0.05).Conclusion:There is still much room for improvement in the work performance of medical staff in tertiary hospitals in Henan Province,and hospitals should focus on improving the work capacity of medical staff and actively improving work engagement in order to enhance the level of medical staff performance.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective:To understand the current situation of work performance and influencing factors of medical staff in tertiary hospitals in Henan Province,in order to provide references for improving their performance level.Methods:An electronic questionnaire was used to investigate the work engagement and work performance of medical staff in a sample hospital in Henan Province,and multiple regression analysis was used to explore the relationship between work engagement and work performance.Results:The total score of medical staff's job performance was 45.18±5.78;Cronbach's α coefficient of the questionnaire's reliability ranged from 0.870 to 0.964;medical staff's job commitment was positively correlated with their job performance;and the highest level of educational attainment,occupational category,and job commitment were the main influencing factors of job performance(P＜0.05).Conclusion:There is still much room for improvement in the work performance of medical staff in tertiary hospitals in Henan Province,and hospitals should focus on improving the work capacity of medical staff and actively improving work engagement in order to enhance the level of medical staff performance.