Medical equipment data management system and method based on Internet of Things
Through an Internet of Things-based medical device data management method, local data storage modules are used to speed up the acquisition of medical device historical data, solve the problem of limited local storage space, improve the treatment effect, and meet the long-term storage requirements.
Patent Information
- Application Number
- CN202510385548.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-29
- Publication Date
- 2025-06-17
AI Technical Summary
In the case of limited local storage space, how to speed up the acquisition of medical equipment historical data for medical personnel to improve treatment results.
Through an Internet of Things-based medical device data management method, the time data and data amount of historical medical device data are obtained from the server and the local data storage module are calculated, the saving time compared to the server is calculated, the saving time expected value when the historical medical device data stored in the local data storage module is determined, and the final determination is made based on the saving time and erasing write loss.
It realizes that when local storage space is limited, the acquisition of historical data of medical devices is accelerated, and the treatment effect is improved. At the same time, a large amount of data is stored by the server to meet the long-term storage requirements.
Smart Images
Figure CN120164597A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of medical device data management, and particularly to an Internet of Things-based medical device data management system and method. Background Art
[0002] Medical device data is complex in type, large in quantity, long in storage life, and the amount of increasing data is large every year; by storing medical device data in a server, a hospital can save local storage resources; compared with the local storage method, server storage has better scalability and can easily increase the storage capacity according to business needs to store more medical data; however, local storage has the advantage of fast access and can also be retrieved offline; for patients who need to go to the hospital for treatment multiple times during a course of treatment, the historical data of medical devices can provide important references. By analyzing the responses and preferences of patients' previous treatments, medical professionals can adjust the settings of medical devices to better meet the current needs of patients. Accelerating the speed of obtaining the historical data of medical devices for patients helps to improve the treatment effect; therefore, how to accelerate the speed of obtaining the historical data of medical devices for patients under the condition of limited local storage space has become an urgent problem to be solved. Summary of the Invention
[0003] The purpose of the present invention is to provide an Internet of Things-based medical device data management system and method to solve the problems raised in the above background art.
[0004] In one aspect of the present invention, an Internet of Things-based medical device data management method is provided, including: S11, obtaining the time data for obtaining historical medical device data from the server, the time data for obtaining historical medical device data from the local data storage module, and the data volume of the historical medical device data; S12, calculating the time saved by obtaining historical medical device data from the local data storage module compared with obtaining historical medical device data from the server; S13, determining the expected value of the time saved when the historical medical device data is stored in the local storage module, and pre-confirming the historical medical device data stored in the local data storage module; S14, for the historical medical device data already stored in the local data storage module, judging the erasure and write loss brought to the local storage module after moving the historical medical device data already stored in the local data storage module out of the local data storage module; S15, finally determining the historical medical device data stored in the local data storage module based on the expected value of the time saved and the erasure and write loss.
[0005] In step S12, the time saved by obtaining medical device data from the local data storage module is analyzed through the following steps: S21, in the result of obtaining historical medical device data from the server, take the data of the i1-th group and the j1-th group and , where i1 and j1 are labels, the value range of j1 is the same as that of i1 and j1 is not equal to i1, represents the time to obtain the i1-th historical medical device data from the server, represents the data volume of the i1-th historical medical device data, represents the time to obtain the j1-th historical medical device data from the server, represents the data volume of the j1-th historical medical device data, and calculate the speed vser of obtaining medical device data from the server, , and determine , represents the final value of the speed of obtaining medical device data from the server, take the union of all speeds vser greater than zero and calculate the average value to obtain ; Based on determine the fixed time loss of obtaining medical device data from the server , , take the average value of all fixed time losses greater than zero to obtain the final value of the fixed time loss of obtaining medical device data from the server; The time to obtain medical device data from the server consists of two parts: fixed time and variable time. The fixed time includes the time for security and authentication processes, the time for the server to accept user requests, and the time for the server to establish a connection with the local data storage module. These times do not change much during each data transmission. The variable time is affected by the data volume and includes the time for the server to query, process, encapsulate, and actually transmit the data, etc. The fixed times of two different historical data are the same. After taking the difference, the influence of the fixed time can be removed, and the change in the variable time caused by the change in the data volume can be obtained. Taking the ratio can obtain the speed of obtaining data, and then the fixed time can be solved. After obtaining the fixed time and the speed of obtaining data, the time to obtain data from the server can be determined according to the data volume. Usually, the larger the data volume, the more time it takes to obtain data from the server, but there are also occasional cases. Therefore, take the average value of the speeds vser greater than zero.
[0006] S22, in the result of obtaining historical medical device data from the local data storage module, take the data of the i2-th group and the j2-th group and , i2 and j2 are labels, the value range of j2 is the same as that of i2 and j2 is not equal to i2, represents the time to obtain the i2-th historical medical device data from the local data storage module, represents the data volume of the i2-th historical medical device data; represents the time to obtain the j2-th historical medical device data from the local data storage module, represents the data volume of the j2-th historical medical device data; calculate the speed vssd of obtaining medical device data from the local data storage module, , and obtain , represents the final value of the speed of obtaining medical device data from the local data storage module, which is obtained by taking all speeds vssd greater than zero and calculating the average value ; based on determine the fixed time loss of obtaining medical device data from the server , , take all fixed time losses greater than zero and calculate the average value to obtain the final value of the fixed time loss of obtaining medical device data from the server; similarly, the time for obtaining medical device data from the local data storage module also consists of two parts: fixed time and variable time; S23. For the time to obtain the i-th historical medical device data from the server and the data volume of the i-th historical medical device data, where i is a label, calculate the time to obtain the i-th historical medical device data from the local data storage module, , let subtract to obtain the time saved for obtaining the i-th medical device data from the local data storage module , ; For the time to obtain the j-th historical medical device data from the local data storage module and the data volume of the j-th historical medical device data, where j is a label, calculate the time to obtain the j-th historical medical device data from the server, , subtract to obtain the time saved for obtaining the j-th medical device data from the local data storage module .
[0007] In step S13, the expected value of the saved time is determined through the following steps: For the i-th historical medical device data stored in the server, the expected value of time savings is ; for the j-th historical medical device data stored in the local data storage module, the expected value of time savings is , , and are the probabilities that the historical medical device data is retrieved.
[0008] When the historical medical device data is stored in the local data storage module and the historical medical device data is retrieved, the actual time-saving effect can be generated; for the historical data of a medical patient, the probability that the historical data is retrieved is not affected by the storage location of the historical data. Therefore and are calculated in the same way and are only related to the number of times the medical patient has received treatment and the time interval between treatments.
[0009] and are determined through the following steps: S41, determine the number of times C that the medical patient has received treatment and the time interval since the last treatment. If there is a treatment time interval set by the medical staff, then go to step S42 for judgment and , otherwise go to step S43 for judgment and ; S42, for the historical medical device data of the medical patient stored in the server, , where is the preset minimum time interval, is less than or equal to , for the historical medical device data of the medical patient stored in the local data storage module, is the same as ; end; S43, obtain the historical time intervals , , …, of the medical patient's treatments. When C is 1, there is no historical data and no time interval; when C is 2, the time interval is ; when C is 3, the time intervals are , ; take the time interval as the input feature and use the historical time interval data of other medical patients with the same treatment goal for unsupervised classification to determine The classification cluster to which it belongs is obtained, and the Cth historical time interval data of other medical personnel in the classification cluster is obtained; among the Cth historical time interval data of other medical personnel in the obtained classification cluster, the number n of historical time interval data less than is determined, then , where N is the total number of the Cth historical time interval data of other medical personnel in the classification cluster, is the same as ; end.
[0010] If the medical staff specifies the time interval for seeing a doctor and uploads the time interval information, the medical personnel will go to the hospital for medical treatment according to the requirements. When the specified time interval for seeing a doctor is not reached, the medical personnel also have a probability of going to the hospital slightly earlier, and the probability will increase as the time interval approaches the specified time interval for seeing a doctor; if the medical staff does not specify the time interval for seeing a doctor or does not upload it, it is estimated based on the historical data of the medical personnel's time interval for seeing a doctor, and the data of all other medical personnel with the same treatment goal is used for analysis.
[0011] In step S13, the steps for pre-confirming and storing the medical device data in the local data storage module are as follows: Sort according to the expected value of the time saved when the medical device data is stored in the local storage module, reserve a preset capacity for the local data storage module, and store the medical device data in the local data storage module in descending order of the expected value.
[0012] In step S15, the steps for finally determining the medical device data stored in the local data storage module further include the following steps: S61. For the historical medical device data A of the medical personnel already stored in the local data storage module, if A is determined not to be stored in the local data storage module after pre-confirmation, then obtain the overall expected value of the time saved after pre-confirmation ; among the historical medical device data stored in the local data storage module after pre-confirmation, is the expected value of the time saved after the hth historical medical device data in the server is stored in the local data storage module, is the expected value of the time saved after the kth historical medical device data in the local data storage module continues to be stored in the local data storage module. The value range of h is a subset of i, and the value range of k is a subset of j; in the case where the historical medical device data A is stored in the local data storage module, calculate the expected value of the time saved in this case , is the time that can be saved by not storing A in the local data storage module; S62. For the historical medical device data A of the medical personnel, obtain the data volume size of A The erasure and write loss brought by one erasure and write operation to the local data storage module is The expected value of the erasure and write loss brought to the local data storage module is , where PA is the probability that the historical medical device data A is retrieved, is the weight; the preset time threshold , add the historical time interval corresponding to the historical medical device data A of the medical personnel plus for update, and calculate in the manner of step S42 or S43, as the probability PA that the historical medical device data A is retrieved; S63. Compare with . If is greater than , then the historical medical device data A of the medical personnel is not stored in the local data storage module, and A is removed from the local data storage module. If is not greater than , then A continues to be stored in the local data storage module; is the weight; S64. For the historical medical device data confirmed to continue to be stored in the local data storage module, retain it in the local data storage module, and store the remaining medical device data in the local data storage module in descending order of the expected value of time saving according to the remaining capacity of the local data storage module.
[0013] For the data A already stored in the local data storage module, if after pre-confirmation, the expected value of the time saved by A makes A unable to continue to be stored in the local data storage module, and at this time if A is removed from the local data storage module, then when data A is needed later, A needs to be stored in the local data storage module again, resulting in erasure and write loss; the erasure and write loss is not necessarily generated, but only generated when A is actually retrieved, so it needs to be multiplied by PA; by setting a time threshold, add the time threshold to the time interval of the medical personnel of data A to determine the probability that data A will be retrieved in a future period of time; when data A is not stored in the local data storage module, an overall expected value of time saving can be obtained; at the same time, when data A continues to be stored in the local data storage module, the remaining data is determined according to the expected value of time saving to obtain another overall expected value of time saving, and the difference between the two gives the time that can be saved under different storage conditions of data A, and set the weight and , compare the time saved and the loss. Since there is a scale difference between the two, normalize the two, or include the scale information in the weight and .
[0014] In another aspect of the present invention, there is provided an Internet of Things-based medical device data management system, comprising: a local data storage module, a server, a medical device data acquisition module, and a hospital information analysis module; the local data storage module is interconnected with the server and is used for storing and providing a quick access service for medical device information; the server is connected to the hospital information analysis module and is used for storing all the data generated by the operation of medical devices during the medical treatment of medical personnel in the long term according to requirements; the output end of the medical device data acquisition module is connected to the input end of the local data storage module and is used for acquiring the operation data of the medical device; the output end of the hospital information analysis module is connected to the input end of the local data storage module, and based on the time saved by obtaining data from the local data storage module and the wear and tear of the local data storage module caused by erasing and writing data, determines the historical medical device data that needs to be stored in the local data storage module.
[0015] The local data storage module further includes a first communication unit, a data access unit, a timer unit, and a data storage unit; the first communication unit is used to realize data interaction between the local data storage module and the server and the hospital information analysis module; the data access unit provides a data access service for medical staff; the timer unit is used to confirm the time interval for medical personnel to go to the hospital for medical treatment; the data storage unit is used to store the medical device data of medical personnel. The server further includes a second communication unit, a large-scale data storage unit, and a request response unit; the second communication unit is used to realize data interaction between the server and the local data storage module and the hospital information analysis module; the large-scale data storage unit is used to store all the medical device data of all medical personnel; the request response unit is used to respond to the request of the hospital information analysis module and transmit the medical device data of the server to the local data storage module. The hospital information analysis module further includes a third communication unit, an expected value calculation unit, and a data analysis unit; the third communication unit is used to realize data interaction between the hospital information analysis module and the server and the local data storage module; the expected value calculation unit is used to calculate the expected value of the time saved when historical medical device data is stored in the local storage module; the data analysis unit determines the medical device data that needs to be stored in the local data storage module based on the expected value of the time saved and the erasing and writing loss brought to the local storage module.
[0016] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: By using the server to store a large amount of medical device data, while meeting the requirements of long-term and large-capacity storage, the storage capacity can be easily increased according to business needs; by using the local data storage module to provide fast data access, medical staff can quickly retrieve the required data from the local data storage module. Even in the absence of a network connection, medical staff can still retrieve data from the local data storage module. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, but do not constitute a limitation to the present invention. In the drawings: Figure 1 FIG. is a schematic structural diagram of a medical device data management system based on the Internet of Things according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0019] In the embodiments of the present invention, please refer to Figure 1 , a medical device data management system based on the Internet of Things is provided, including: a local data storage module, a server, a medical device data acquisition module, and a hospital information analysis module; the local data storage module is connected to the server and is used to store and provide a fast retrieval service for medical device information; the server is connected to the hospital information analysis module and is used to store all the data generated by the operation of medical devices during the medical treatment of medical patients for a long time according to requirements; the output end of the medical device data acquisition module is connected to the input end of the local data storage module and is used to obtain the operation data of the medical device; the output end of the hospital information analysis module is connected to the input end of the local data storage module, and based on the time saved by retrieving data from the local data storage module and the wear and tear of the local data storage module caused by erasing and writing data, it determines the historical medical device data that needs to be stored in the local data storage module.
[0020] The local data storage module further includes a first communication unit, a data access unit, a timer unit, and a data storage unit; the first communication unit is used to realize data interaction between the local data storage module and the server and the hospital information analysis module; the data access unit provides data access services for medical staff; the timer unit is used to confirm the time interval for the medical treatment personnel to go to the hospital for medical treatment; the data storage unit is used to store the medical device data of the medical treatment personnel.
[0021] The server further includes a second communication unit, a large-scale data storage unit, and a request response unit; the second communication unit is used to realize data interaction between the server and the local data storage module and the hospital information analysis module; the large-scale data storage unit is used to store all the medical device data of all medical treatment personnel; the request response unit is used to respond to the request of the hospital information analysis module and transmit the medical device data of the server to the local data storage module.
[0022] The hospital information analysis module further includes a third communication unit, an expected value calculation unit, and a data analysis unit; the third communication unit is used to realize data interaction between the hospital information analysis module and the server and the local data storage module; the expected value calculation unit is used for the expected value of time saved when historical medical device data is stored in the local storage module; the data analysis unit determines the medical device data that needs to be stored in the local data storage module based on the expected value of time saved and the erase-write loss brought to the local storage module.
[0023] In an embodiment of the present invention, a medical device data management method based on the Internet of Things is provided, including: S11, obtaining the time data for obtaining historical medical device data from the server, the time data for obtaining historical medical device data from the local data storage module, and the data volume of the historical medical device data.
[0024] S12, calculating the time saved by obtaining historical medical device data from the local data storage module compared to obtaining historical medical device data from the server: In the result of obtaining historical medical device data from the server, take the data of the i1-th group and the j1-th group and , where i1 and j1 are labels, the value range of j1 is the same as that of i1 and j1 is not equal to i1, represents the time for obtaining the i1-th historical medical device data from the server, represents the data volume of the i1-th historical medical device data, represents the time for obtaining the j1-th historical medical device data from the server, Denote the data volume of the j1-th historical medical device data, and calculate the speed vser of obtaining medical device data from the server. , and determine , Denote the final value of the speed of obtaining medical device data from the server, take the union of all speeds vser greater than zero and calculate the average value to obtain ; Based on Determine the fixed time loss of obtaining medical device data from the server , , take the average value of all fixed time losses to obtain the final value of the fixed time loss of obtaining medical device data from the server; For example, for data A1 with a size of 10 megabytes and data A2 with a size of 20 megabytes, the time to obtain A1 from the server is 1 second, and the time to obtain A1 from the server is 1.9 seconds. Then the speed of obtaining medical device data from the server is megabytes per second. Then, calculated through A1, the fixed transmission time is seconds. To eliminate the influence of contingency, take the average value of the fixed time loss of obtaining medical device data from the server; for data A3 with a size of 30 megabytes, the time to obtain A3 from the server can be directly calculated according to the formula: seconds. In the result of obtaining historical medical device data from the local data storage module, take the data of the i2-th group and the j2-th group
[0025] and and , where i2 and j2 are labels, the value range of j2 is the same as that of i2 and j2 is not equal to i2. Denote the time to obtain the i2-th historical medical device data from the local data storage module, Denote the data volume of the i2-th historical medical device data; Denote the time to obtain the j2-th historical medical device data from the local data storage module, Denote the data volume of the j2-th historical medical device data; calculate the speed vssd of obtaining medical device data from the local data storage module, , and obtain , Denote the final value of the speed of obtaining medical device data from the local data storage module, take the union of all speeds vssd greater than zero and calculate the average value to obtain ; Based on Determine the fixed time loss of obtaining medical device data from the server , , take all fixed time losses greater than zero and take the average value to obtain the final value of the fixed time loss for obtaining medical device data from the server; For the time to obtain the i-th historical medical device data from the server and the data volume of the i-th historical medical device data , where i is the label, calculate the time to obtain the i-th historical medical device data from the local data storage module , and take the difference between and to obtain the time saved for obtaining the i-th medical device data from the local data storage module ; For the time to obtain the j-th historical medical device data from the local data storage module and the data volume of the j-th historical medical device data , where j is the label, calculate the time to obtain the j-th historical medical device data from the server ,
[0026] S13. Determine the expected value of the time saved when the historical medical device data is stored in the local storage module. Pre-confirm the historical medical device data stored in the local data storage module: For the i-th historical medical device data stored in the server, the expected value of the time saved is , and for the j-th historical medical device data stored in the local data storage module, the expected value of the time saved is , , and is the probability that the historical medical device data is retrieved; Sort according to the expected value of the time saved when the medical device data is stored in the local storage module, reserve a preset capacity for the local data storage module, and store the medical device data in the local data storage module in descending order of the expected value.
[0027] Specifically, and are determined through the following steps S41 to S43: S41. Determine the number of times C that the medical personnel have received treatment and the time interval since the last treatment . If there is a treatment time interval set by the medical staff, then enter step S42 for judgment and , otherwise enter step S43 for judgment and ; S42. For the historical medical device data of the medical treatment personnel stored in the server, , where is the preset minimum time interval, less than or equal to , for the historical medical device data of the medical treatment personnel stored in the local data storage module, is the same as ; end; S43. Obtain the historical time intervals , , …, of the medical treatment personnel receiving treatment. When C is 1, there is no historical data and no time interval; when C is 2, the time interval is ; when C is 3, the time intervals are , ; Take the time interval as the input feature, and use the historical time interval data of other medical treatment personnel with the same treatment goal for unsupervised classification to determine the classification cluster to which it belongs, and obtain the Cth historical time interval data of other medical treatment personnel in the classification cluster; among the Cth historical time interval data of other medical treatment personnel in the obtained classification cluster, determine the number n of historical time interval data less than , then , N is the total number of the Cth historical time interval data of other medical treatment personnel in the classification cluster, is the same as ; end.
[0028] S14. For the historical medical device data already stored in the local data storage module, judge the erasure and write loss brought to the local storage module after moving the historical medical device data already stored in the local data storage module out of the local data storage module.
[0029] S15. Based on the expected value of time saving and the erasure and write loss, finally determine the historical medical device data stored in the local data storage module: For the historical medical device data A of the medical treatment personnel already stored in the local data storage module, if it is pre - confirmed that A is not to be stored in the local data storage module, then obtain the overall expected value of time saving after pre - confirmation; among the historical medical device data stored in the local data storage module after pre - confirmation, The expected value of time saved after the h-th historical medical device data in the server is stored in the local data storage module The expected value of time saved after the k-th historical medical device data in the local data storage module continues to be stored in the local data storage module. The value range of h is a subset of i, and the value range of k is a subset of j; in the case where the historical medical device data A is stored in the local data storage module, calculate the expected value of time saved in this case , The time that can be saved by not storing A in the local data storage module For data A1, A2, A3, and A, A1 and A3 were originally stored in the server, and A2 and A were originally stored in the local data storage module. If the pre-confirmation result is that A1 and A2 are stored in the local data storage module, then add the expected values of time saved for A1 and A2 respectively to obtain the overall expected value of time saved ; At the same time, first determine that A is stored in the local data storage module, and then determine the data that needs to be stored in the local data storage module for A1, A2, and A3 according to the expected value of time saved. If A1 is determined to need to be stored in the local data storage module, then add the expected values of time saved for A1 and A respectively to obtain the overall expected value of time saved .
[0030] For the historical medical device data A of the medical patient, obtain the data volume size of A , the erasure and write loss brought to the local data storage module by performing one erasure and write operation is , the expected value of the erasure and write loss brought to the local data storage module is , PA is the probability that the historical medical device data A is retrieved, is the weight; preset time threshold , add to the historical time interval corresponding to the historical medical device data A of the medical patient for update, and calculate in the manner of step S42 or S43 as the probability PA that the historical medical device data A is retrieved; Compare with , if is greater than , then the historical medical device data A of the medical patient is not stored in the local data storage module, and A is removed from the local data storage module. If is not greater than , then A continues to be stored in the local data storage module; is the weight; For the historical medical device data that is confirmed to continue to be stored in the local data storage module, it is retained in the local data storage module, and the remaining medical device data is stored in the local data storage module in descending order of the expected time savings value according to the remaining capacity of the local data storage module.
[0031] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device.
[0032] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.
Claims
1. A medical device data management method based on the Internet of Things, characterized in that: The following steps are involved: S11, obtaining time data of historical medical device data from a server, obtaining time data of historical medical device data from a local data storage module, and data volume of historical medical device data; S12, calculating the time saved by obtaining the historical medical device data from the local data storage module compared to obtaining the historical medical device data from the server; S13, determining an expected value of time savings when the historical medical device data is stored in the local storage module, and pre-confirming the historical medical device data stored in the local data storage module; S14, for the historical medical device data stored in the local data storage module, determining the erase and write loss caused to the local storage module after the historical medical device data stored in the local data storage module is moved out of the local data storage module; S15, based on the expected value of time saving and erase / write loss, finally determine the historical medical device data stored in the local data storage module.
2. According to the method for managing medical device data based on the Internet of Things in claim 1, it is characterized in that: In step S12, the time saved by obtaining the medical device data from the local data storage module is analyzed by the following steps: S21, in the result of obtaining historical medical device data from the server, obtain the data of group i1 and group j1 and , i1 and j1 are labels, the value range of j1 is the same as that of i1 and j1 is not equal to i1, Indicates the time when the i1th historical medical device data is obtained from the server. represents the data volume of the i1th historical medical device data, Indicates the time when the j1th historical medical device data is obtained from the server. represents the data volume of the j1th historical medical device data, and calculates the speed vser of obtaining medical device data from the server. , determined by vser , Indicates the final value of the medical device data speed obtained from the server, taking all speeds vser greater than zero and calculating the average value to obtain ;based on Determine the fixed time loss for getting medical device data from the server , , take all fixed time losses greater than zero The average Get the final value of the fixed time loss for obtaining medical device data from the server; S22, in the result of obtaining the historical medical device data from the local data storage module, obtain the data of the i2th group and the j2th group and , i2 and j2 are labels, the value range of j2 is the same as that of i2 and j2 is not equal to i2, Indicates the time of obtaining the i2th historical medical device data from the local data storage module. represents the data volume of the i2th historical medical device data; Indicates the time of obtaining the j2th historical medical device data from the local data storage module. represents the data volume of the j2th historical medical device data; calculates the speed vssd of obtaining medical device data from the local data storage module, , according to vssd , It means to obtain the final value of the medical device data speed from the local data storage module, take all speeds greater than zero vssd and calculate the average value ;based on Determine the fixed time loss for getting medical device data from the server , , take all fixed time losses greater than zero The average Get the final value of the fixed time loss for obtaining medical device data from the server; S23, the time for obtaining the i-th historical medical device data from the server and the amount of data for the i-th historical medical device data , i is the label, calculate the time to obtain the i-th historical medical device data from the local data storage module , ,make and The time saved by obtaining the i-th medical device data from the local data storage module is , ; For the time of obtaining the jth historical medical device data from the local data storage module and the data volume of the jth historical medical device data , j is the label, calculate the time to obtain the jth historical medical device data from the server , , and the time saved by obtaining the jth medical device data from the local data storage module is , .
3. The method for managing medical device data based on the Internet of Things according to claim 2, characterized in that: In step S13, the expected value of the time saving is determined by the following steps: For the i-th historical medical device data stored in the server, the expected value of time saved is For the j-th historical medical device data stored in the local data storage module, the expected value of time saved is , , and The probability that historical medical device data will be reviewed.
4. The method for managing medical device data based on the Internet of Things according to claim 3, characterized in that: Said and This is determined by the following steps: S41, determine the number of times C the medical practitioner has received treatment and the time interval since the last treatment If there is a treatment time interval set by medical staff , then proceed to step S42 to determine and Otherwise, go to step S43 to determine and ; S42, for the historical medical equipment data of the medical personnel stored in the server, , where is the preset minimum time interval, Less than or equal to , for the historical medical device data of medical personnel stored in the local data storage module, and Same; End; S43, obtain the historical time intervals of medical personnel receiving treatment , , …, , when C is 1, there is no historical data and no time interval; When C is 2, the time interval is ; When C is 3, the time interval is , ; Set the time interval As input features, the historical time interval data of all other medical patients with the same treatment goal are used for unsupervised classification to determine The classification cluster to which it belongs is obtained, and the C-th historical time interval data of other medical personnel in the classification cluster is obtained; among the C-th historical time interval data of other medical personnel in the obtained classification cluster, determine the The number of historical time interval data n, then , N is the total number of historical time interval data of other medical personnel in the classification cluster, and Same; end.
5. The method for managing medical device data based on the Internet of Things according to claim 4, characterized in that: In step S13, the pre-confirmation of the medical device data stored in the local data storage module includes the following steps: Sort the medical device data according to the expected value of time saving brought by storing it in the local storage module, reserve a preset capacity for the local data storage module, and store the medical device data in the local data storage module in order from high to low expected value.
6. The method for managing medical device data based on the Internet of Things according to claim 5, characterized in that: In step S15, the final determination of the medical device data stored in the local data storage module further includes the following steps: S61, for the historical medical equipment data A of the medical personnel stored in the local data storage module, if A is determined not to be stored in the local data storage module after pre-confirmation, then obtain the overall expected value of time saving after pre-confirmation ; After pre-confirmation, the historical medical device data is stored in the local data storage module, is the expected value of time saved after the hth historical medical device data in the server is stored in the local data storage module, is the expected value of time saved after the k-th historical medical device data in the local data storage module continues to be stored in the local data storage module, the value range of h is a subset of i, and the value range of k is a subset of j; when the historical medical device data A is stored in the local data storage module, calculate the expected value of time saved in this case , The time that can be saved by not storing A in the local data storage module; S62, for the historical medical equipment data A of the medical personnel, obtain the data size of A , the erase and write loss caused by an erase and write operation to the local data storage module is The expected erase and write loss brought to the local data storage module is , PA is the probability that the historical medical device data A is accessed, is the weight; preset time threshold , the historical time interval corresponding to the historical medical equipment data A of the medical personnel Plus Update, calculate according to step S42 or S43 , as the probability PA of historical medical device data A being retrieved; S63, comparison and ,like Greater than , then the historical medical device data A of the medical personnel is not stored in the local data storage module, and A is removed from the local data storage module. No more than , then A continues to be stored in the local data storage module; is the weight; S64, for the historical medical device data confirmed to continue to be stored in the local data storage module, retain it in the local data storage module, and use the remaining capacity of the local data storage module to store the remaining medical device data in the local data storage module in descending order of expected time saving value.
7. A medical equipment data management system based on the Internet of Things, characterized in that: include: Local data storage module, server, medical equipment data acquisition module and hospital information analysis module; The local data storage module is interconnected with the server and is used to store and provide a quick retrieval service for medical equipment information; the server is connected to the hospital information analysis module and stores all data generated by the operation of medical equipment when patients seek medical treatment for a long period of time as required; the output end of the medical equipment data acquisition module is connected to the input end of the local data storage module and is used to obtain the operating data of the medical equipment; the output end of the hospital information analysis module is connected to the input end of the local data storage module and determines the historical medical equipment data that needs to be stored in the local data storage module based on the time saved in obtaining data from the local data storage module and the loss of the local data storage module caused by erasing and writing data.
8. The medical device data management system based on the Internet of Things according to claim 7, characterized in that: The local data storage module also includes a first communication unit, a data retrieval unit, a timer unit and a data storage unit; the first communication unit is used to realize data interaction between the local data storage module and the server and hospital information analysis module; the data retrieval unit provides data retrieval services for medical staff; the timer unit is used to confirm the time interval for medical personnel to go to the hospital for medical treatment; the data storage unit is used to store medical equipment data of medical personnel.
9. The medical device data management system based on the Internet of Things according to claim 7, characterized in that: The server also includes a second communication unit, a large-scale data storage unit and a request response unit; the second communication unit is used to realize data interaction between the server and the local data storage module and the hospital information analysis module; the large-scale data storage unit is used to store all medical equipment data of all medical personnel; the request response unit is used to respond to the request of the hospital information analysis module and transfer the medical equipment data of the server to the local data storage module.
10. The medical equipment data management system based on the Internet of Things according to claim 9, characterized in that: The hospital information analysis module also includes a third communication unit, an expected value calculation unit and a data analysis unit; the third communication unit is used to realize data interaction between the hospital information analysis module and the server and the local data storage module; the expected value calculation unit is used to calculate the expected value of time saving when the historical medical device data is stored in the local storage module; the data analysis unit determines the medical device data that needs to be stored in the local data storage module based on the expected value of time saving and the erase and write loss brought to the local storage module.