Objective:To describe the information technology and artificial intelligence support in management experiences of the pediatric designated hospital in the wave of COVID-19 in Shanghai.Methods:We retrospectively conclu...Objective:To describe the information technology and artificial intelligence support in management experiences of the pediatric designated hospital in the wave of COVID-19 in Shanghai.Methods:We retrospectively concluded the management experiences at the largest pediatric designated hospital from March 1st to May 11th in 2022 in Shanghai.We summarized the application of Internet hospital,face recognition technology in outpatient department,critical illness warning system and remote consultation system in the ward and the structed electronic medical record in the inpatient system.We illustrated the role of the information system through the number and prognosis of patients treated.Results:The COVID-19 designated hospitals were built particularly for critical patients requiring high-level medical care,responded quickly and scientifically to prevent and control the epidemic situation.From March 1st to May 11th,2022,we received and treated 768 children confirmed by positive RT-PCR and treated at our center.In our management,we use Internet Information on the Internet Hospital,face recognition technology in outpatient department,critical illness warning system and remote consultation system in the ward,structed electronic medical record in the inpatient system.No deaths or nosocomial infections occurred.The number of offline outpatient visits dropped,from March to May 2022,146,106,48,379,57,686 respectively.But the outpatient volume on the internet hospital increased significantly(3,347 in March 2022 vs.372 in March 2021;4,465 in April 2022 vs.409 in April 2021;4,677 in May 2022 vs.538 in May 2021).Conclusions:Information technology and artificial intelligence has provided significant supports in the management.The system might optimize the admission screening process,increases the communication inside and outside the ward,achieves early detection and diagnosis,timely isolates patients,and timely treatment of various types of children.展开更多
Variable-rate technology(VRT)has been paid more attentions by farmers in an attempt to match inputs to local growing conditions efficiently.Farmers in every country are highly encouraged to adopt this practice rather ...Variable-rate technology(VRT)has been paid more attentions by farmers in an attempt to match inputs to local growing conditions efficiently.Farmers in every country are highly encouraged to adopt this practice rather than uniform-rate application(URA).However,the standard methods and design used to quantify application accuracy for VRT remain lacking.Therefore,a variable-rate liquid fertilization control system was designed to meet accurate fertilization demand.The designed control system could enable the real-time proportion and mixture of three kinds of liquid fertilizers,namely,N,P and K,in accordance with decision support subsystem.The task controller reads related information and sends such data to the control system,which is responsible for fertilization operation.The controller could realize liquid fertilizer adjusting through the electromagnetic flow control valves.A high-precision flow meter could measure the fertilization amount,which is sent as feedback to the controller to form a closed-loop control system based on the improved proportional-integral-derivative(PID)control algorithm that could enhance the stability and accuracy of precision variable-rate liquid fertilization control systems.Comparisons between the actual and planned application rates indicated good performance for both static and field experimental trials.Mathematical models and transfer functions for some functional modules were then constructed by classical theories to derive a system characteristic equation.To verify the static and dynamic performances,the control system was simulated using the Simulink module on Matlab.Results showed that the variable-rate fertilization was in accordance with the planned data and that the signal trace effect was good.The error was less than 5%for fertilization amount and fertilizer proportion,respectively,and the control response time was 6 s.展开更多
基金Evaluation Study on Fudan Pediatric Medical Consortium's Response to Public Health Emergencies Based on the Prevention and Control of COVID-19 of Shanghai Municipal Health Commission under Grant No.202150028Practical Research on Medical Management of Integrated Paediatric COVID-19 Designated Hospital in peacetime and wartime of Shanghai Shenkang Hospital Development Center under Grant No.2022SKMR-17Research on the Exploration and Application of the"4s"Management Mode of Pediatric Medical Safety under the Normalized Epidemic Prevention and Control of Shanghai Shenkang Hospital Development Center under Grant No.SHDC12021620.
文摘Objective:To describe the information technology and artificial intelligence support in management experiences of the pediatric designated hospital in the wave of COVID-19 in Shanghai.Methods:We retrospectively concluded the management experiences at the largest pediatric designated hospital from March 1st to May 11th in 2022 in Shanghai.We summarized the application of Internet hospital,face recognition technology in outpatient department,critical illness warning system and remote consultation system in the ward and the structed electronic medical record in the inpatient system.We illustrated the role of the information system through the number and prognosis of patients treated.Results:The COVID-19 designated hospitals were built particularly for critical patients requiring high-level medical care,responded quickly and scientifically to prevent and control the epidemic situation.From March 1st to May 11th,2022,we received and treated 768 children confirmed by positive RT-PCR and treated at our center.In our management,we use Internet Information on the Internet Hospital,face recognition technology in outpatient department,critical illness warning system and remote consultation system in the ward,structed electronic medical record in the inpatient system.No deaths or nosocomial infections occurred.The number of offline outpatient visits dropped,from March to May 2022,146,106,48,379,57,686 respectively.But the outpatient volume on the internet hospital increased significantly(3,347 in March 2022 vs.372 in March 2021;4,465 in April 2022 vs.409 in April 2021;4,677 in May 2022 vs.538 in May 2021).Conclusions:Information technology and artificial intelligence has provided significant supports in the management.The system might optimize the admission screening process,increases the communication inside and outside the ward,achieves early detection and diagnosis,timely isolates patients,and timely treatment of various types of children.
文摘Variable-rate technology(VRT)has been paid more attentions by farmers in an attempt to match inputs to local growing conditions efficiently.Farmers in every country are highly encouraged to adopt this practice rather than uniform-rate application(URA).However,the standard methods and design used to quantify application accuracy for VRT remain lacking.Therefore,a variable-rate liquid fertilization control system was designed to meet accurate fertilization demand.The designed control system could enable the real-time proportion and mixture of three kinds of liquid fertilizers,namely,N,P and K,in accordance with decision support subsystem.The task controller reads related information and sends such data to the control system,which is responsible for fertilization operation.The controller could realize liquid fertilizer adjusting through the electromagnetic flow control valves.A high-precision flow meter could measure the fertilization amount,which is sent as feedback to the controller to form a closed-loop control system based on the improved proportional-integral-derivative(PID)control algorithm that could enhance the stability and accuracy of precision variable-rate liquid fertilization control systems.Comparisons between the actual and planned application rates indicated good performance for both static and field experimental trials.Mathematical models and transfer functions for some functional modules were then constructed by classical theories to derive a system characteristic equation.To verify the static and dynamic performances,the control system was simulated using the Simulink module on Matlab.Results showed that the variable-rate fertilization was in accordance with the planned data and that the signal trace effect was good.The error was less than 5%for fertilization amount and fertilizer proportion,respectively,and the control response time was 6 s.
