Research On Visiting Process And Electronic Medical Record Of Smart Hospital Based On Stochastic Petri Net

With the rapid development of Internet of Things technology,intelligent hospitals gradually take the place of traditional hospitals and walk into people's life.Reasonable allocation of medical resources for wisdom hospitals and the realization of remote wireless medical service can improve the service quality of intelligent hospitals.Aiming at the backward status that there is no high-efficiency intelligent hospital visiting process and remote wireless medical equipment in our country,it is very valuable to research the intelligent hospital's high-efficiency visiting process and locatable intelligent monitoring equipment for vital signs.Firstly,it combs and analyses the process of each link of hospital consultation,and uses flow chart transformation Petri net and association reorganization algorithm to prove the boundedness,accessibility and activity of the Petri net.Then,the performance of the model is analyzed by using the mathematical analysis method of Markov chain,which is isomorphic with the model.By comparing the three performance indicators of average token number,change utilization rate and average delay time,it is proved that the performance of the intelligent hospital visiting process designed by this topic is better than that of the traditional hospital visiting process.Secondly,aiming at the backwardness of wireless telemedicine equipment in smart hospitals,this paper studies the electronic medical record which integrates the communication technology and positioning technology of NB-IoT(Narrow Band Internet of Things).It highly integrates the vital signs data acquisition module,uploads the vital signs data to Huawei OC platform by using NB-IoT,and realizes the telemedicine and wireless monitoring services in smart hospitals.The innovation of this system lies in that the intelligent hospital based on stochastic Petri net has better performance,the patients with chronic diseases can enjoy medical services at home,and the emergency center can quickly determine the exact location of patients and increase the survival rate of patients through monitoring platform in case of emergencies.Figure 28 table 14 reference 47...