Objective:To construct a comprehensive management platform for medical waste based on Internet of Things technique,so as to achieve standardized and refined management for medical waste. Methods:Based on radio frequency identification (RFID) technology,automation equipment technique,artificial intelligence (AI) robotics technique,big data,5G communication and other digital techniques,the browser and server (B/S) architecture was adopted to set perception layer,edge computing layer,transmission layer,platform layer,application layer and presentation layer,and to build a comprehensive management platform of medical waste that integrated real-time tracking,monitoring,control and management of the entire process of collection,transportation and disposal for medical waste. Results:The comprehensive management platform for medical waste was designed on the basis of Internet of Things architecture,which consisted of intelligent hardware equipment,business management system of medical waste,and auxiliary decision-making system. It can complete automated classification,identification,sterilization,environmental information collection,operation recording,and automated distribution and transportation of entire process and each stage of collection and processing for medical waste,and can realize traceability of whole course for "zero contact" processing,comprehensive "zero blind spots" monitoring,and full data "one network" analysis of the entire process included each stage from collection to disposal for medical waste. Conclusion:The comprehensive management platform for medical waste based on Internet of Things technique can meet the supervision of full process for the disposal of medical waste,and can improve the daily operational efficiency of management institutions of medical waste,and reduce labor costs.

Objective:To construct a comprehensive management platform for medical waste based on Internet of Things technique,so as to achieve standardized and refined management for medical waste. Methods:Based on radio frequency identification (RFID) technology,automation equipment technique,artificial intelligence (AI) robotics technique,big data,5G communication and other digital techniques,the browser and server (B/S) architecture was adopted to set perception layer,edge computing layer,transmission layer,platform layer,application layer and presentation layer,and to build a comprehensive management platform of medical waste that integrated real-time tracking,monitoring,control and management of the entire process of collection,transportation and disposal for medical waste. Results:The comprehensive management platform for medical waste was designed on the basis of Internet of Things architecture,which consisted of intelligent hardware equipment,business management system of medical waste,and auxiliary decision-making system. It can complete automated classification,identification,sterilization,environmental information collection,operation recording,and automated distribution and transportation of entire process and each stage of collection and processing for medical waste,and can realize traceability of whole course for "zero contact" processing,comprehensive "zero blind spots" monitoring,and full data "one network" analysis of the entire process included each stage from collection to disposal for medical waste. Conclusion:The comprehensive management platform for medical waste based on Internet of Things technique can meet the supervision of full process for the disposal of medical waste,and can improve the daily operational efficiency of management institutions of medical waste,and reduce labor costs.

Objective To dissect and observe the course of the deep branch of the ulnar nerve and its'distribution of the muscular branch,to provide imaging and anatomical basis for early diagnosis and treatment of the wrist deep branch of ulnar nerve injury in clinical. MethodsFrom October 2008 to August 2010,dissected 16 fresh and 4 antiseptic samples, with the most bump of the hook of the hamate bone as the origin O,set the axis over the O point.The distance from O to the intersection point of the X axis and the deep branch of ulnar nerve was OE ; the distance from O to the intersection point with the ulnaris of hook of hamate bone was OF; the distance from O to the proximal deep branch of ulnar nerve intersection point of the Y axis was OG; the distance from O to the distal deep branch of ulnar nerve respectively was OH.Named the head of the metacarpal bone and the palm side of the center of the basal of the 2nd to the 5th metacarpal bone, through these two points,the measure related data from the deep branch of the ulnar nerve and the metacarpal bone in the sagittal plane.Having a CT scan image data,the Barium Sulfate ( Ⅱ ) dry suspension was uniformly smeared onto the surface of the deep branch of ulnar nerve, the data obtained was analyzed using SPSS 13.0.ResultsThe length of OE was ( 4.96 ± 0.11 ) mm,CT result was (5.02 ± 0.12 ) mm; the length of OF was (3.69 ± 0.12 ) mm,CT result was(3.75 ± 0.12)mm; the length of OG was(10.55 ± 1.07)mm,CT result was(10.48 ± 0.84)mm;the length of OH was (7.23 ± 0.85)mm,CT result was (7.29 ± 0.84)mm; the length of EF was (1.27 ± 0.15 )mm,CT result was( 1.17 ± 0.16)mm.The measure related data from the deep branch of the ulnar nerve and the metacarpal bone in the sagittal plane. Each data set of the anatomical results and CT results had been tested by T,P values were more than 0.05. ConclusionsThere is no significant difference between anatomic and CT observations of deep branch of ulnar nerve, CT observations can be regarded as a clinical reference directly.Anatomic and CT observations can be seen as a guide for clinical work in the diagnosis and treatment of deep branch of ulnar nerve injury.

ObjectiveTo investigate the diagnosis and correlative factors of suspected severe acute respiratory synd rome (SARS) cases, and finally, complete the diagnosis and treatment.MethodsTo analyze the clinical, laboratory data,chest radiog raph and treatment of 100 suspected SARS cases.ResultsAmong 100 suspected SARS cases,66 were diagnosed as SARS,4 were mycoplasma l pneumonia, 2 were pulmonary tuberculosis,the others were general bacteria pne umonia.Conclusions SARS hasn't characteristic clin ical manifestation.Because there is not a gold diagnosis standard up to now, the disinfection and isolation of suspected SARS cases should be treated as SARS c ases. In order to prevent missed and misdiagnosis, the diagnosis and treatment s hould be synthetically thought.