Medical imaging equipment technician working efficiency quantitative evaluation method, device and system

Abstract

The invention discloses a medical imaging equipment technician working efficiency quantitative evaluation method, device and system. The method comprises the following steps: screening equipment operation data information of each technician in a corresponding working time period from a second database according to working time data information of each technician obtained from a first database; according to the equipment operation data information, carrying out statistics to generate average scanning duration of each technician based on scanning part and scanning method classification; according to the equipment operation data information, acquiring charging data of each operation classified based on the scanning part and the scanning method from a third database; and determining a quantitative evaluation result of the working efficiency of the corresponding technician according to the ranking of the average scanning duration of the corresponding technician based on the scanning part and the scanning method classification and the charging data of each operation based on the scanning part and the scanning method classification. According to the scheme, the work efficiency of an operation technician of the medical imaging equipment can be objectively and reasonably quantitatively evaluated, and the problem that the work of the technician is difficult to quantitatively evaluate is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of performance management of medical imaging equipment, and particularly to a method, device and system for quantitatively evaluating the working efficiency of medical imaging equipment technicians. Background Art

[0002] There are various types of medical imaging equipment in the radiology department of a hospital, such as MR, CT, DR, mammography machines, gastrointestinal machines, bone densitometers, etc. These devices are all used by operation technicians who have received professional training. Due to reasons such as the high price of these medical imaging equipment, the scarcity of a talented team of experienced operation technicians, and the large number of patients requiring medical imaging examinations, the efficient utilization of medical imaging equipment has become an important goal of medical equipment management. To achieve this goal, the current existing solutions dedicated to improving the utilization rate of medical equipment focus on the medical equipment itself. For example, analyzing the equipment usage time to increase the technician shift schedule based on the equipment usage time. However, the research idea based on the equipment itself actually has limitations and ignores the key impact of the technician's working efficiency on the equipment utilization rate. Therefore, it is very difficult to further significantly improve the equipment utilization rate more effectively based on this technical idea. Based on this dilemma, the inventor realizes that in fact, the technician's working efficiency is also an important factor affecting the realization of this goal. However, there is no solution idea in the industry on how to objectively quantify the evaluation of the technician's working efficiency and make the result of this quantitative evaluation effectively reflect the impact of the technician's work on the utilization efficiency of medical equipment. Summary of the Invention

[0003] Based on the above background, the embodiments of the present invention provide a method for quantitatively evaluating the working efficiency of medical imaging equipment technicians, which can objectively and reasonably quantitatively evaluate the working efficiency of the operation technicians of medical imaging equipment, solve the problem of difficult quantitative evaluation of the operation technicians' work, and the result of this quantitative evaluation can effectively reflect the utilization situation of the equipment from the perspective of the working efficiency of the user. It can be used to calculate the utilization rate of medical equipment or the individual performance of operation technicians, and has important significance and application value.

[0004] In a first aspect, the embodiments of the present invention provide a method for quantitatively evaluating the working efficiency of medical imaging equipment technicians, which includes:

[0005] Screen out the equipment operation data information of each technician in the corresponding working time period from the second database according to the working time data information of each technician obtained from the first database, wherein the first database is the attendance system database of the target hospital, and the second database is formed based on the equipment logs of each medical imaging equipment;

[0006] Statistically generate the average scanning duration of each technician classified by scanning part and scanning method according to the equipment operation data information;

[0007] Obtain the charging data of each operation classified based on the scanned part and scanning method from the third database according to the device operation data information, where the third database is the HIS system database of the target hospital;

[0008] Determine the quantitative evaluation result of the work efficiency of the corresponding technician according to the ranking of the average scanning duration of the corresponding technician classified based on the scanned part and scanning method and the charging data of each operation classified based on the scanned part and scanning method.

[0009] In a second aspect, an embodiment of the present invention provides a device for quantitatively evaluating the work efficiency of medical imaging equipment technicians, which includes:

[0010] A data acquisition module, configured to screen out the device operation data information of each technician during the corresponding working period from the second database according to the working time data information of each technician obtained from the first database, where the first database is the attendance system database of the target hospital, and the second database is formed based on the device logs of each medical imaging device;

[0011] A scanning duration determination module, configured to statistically generate the average scanning duration of each technician classified based on the scanned part and scanning method according to the device operation data information;

[0012] A charging data acquisition module, configured to obtain the charging data of each operation classified based on the scanned part and scanning method from the third database according to the device operation data information, where the third database is the HIS system database of the target hospital;

[0013] A work efficiency determination module, configured to determine the quantitative evaluation result of the work efficiency of the corresponding technician according to the ranking of the average scanning duration of the corresponding technician classified based on the scanned part and scanning method and the charging data of each operation classified based on the scanned part and scanning method.

[0014] In a third aspect, an embodiment of the present invention provides a system for quantitatively evaluating the work efficiency of medical imaging equipment technicians, which includes a medical imaging device, a data acquisition box communicatively connected to the medical imaging device, and a server; where

[0015] The server is the device for quantitatively evaluating the work efficiency of medical imaging equipment technicians described in the second aspect above;

[0016] The data acquisition box is configured to obtain the device log files of each medical imaging device and generate first parameter information corresponding to the corresponding medical imaging device, and output the device log files and their corresponding first parameter information to the server, where the first parameter information has a one-to-one correspondence with the medical imaging device;

[0017] The server is also used to parse the device log files of each medical imaging device obtained, and store the parsing results in the second database. When storing the parsing results in the second database, for the scan start time and scan end time in the parsing results, they are adjusted based on the first parameter information of the corresponding medical imaging device and then written into the second database, so that the time of the medical imaging device is synchronized with the time in the working time data of the first database.

[0018] According to a fourth aspect of the present invention, there is provided an electronic device, which includes: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps of the method described in the first aspect of the present invention.

[0019] In a fifth aspect, the present invention provides a storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented.

[0020] The solution provided by the embodiments of the present invention integrates the data information of the attendance system database of the target hospital, the device logs of medical imaging devices, and the HIS system database, classifies the device operation data information based on the scanning part and scanning method, and after classification, counts the average scanning duration of each operating technician in the corresponding classification according to the classification results. Finally, based on the ranking of the average scanning duration of each operating technician in the corresponding classification and the charging situation of the corresponding classification items, the work efficiency of the technician is generated. Therefore, not only the quantification of the work efficiency of the operating technician is realized, but also the generated quantification result takes into account the influence of different scanning parts and different scanning methods on the work difficulty and work complexity, as well as the contribution of the operation technology work to the utilization value of the device. Therefore, the generated quantitative evaluation result can objectively and comprehensively reflect the work difficulty, workload, work efficiency of the technician and the influence on the device utilization efficiency, solves the problem of the lack of core indicators for the performance evaluation of the radiology department, and can be used to optimize the technician scheduling and calculate the device utilization rate to assist in further improving the inspection circulation efficiency of the radiology department. In addition, in the process of integrating and utilizing multi-party data information, the method of the embodiments of the present invention does not require complex process reengineering or interface reengineering of the existing information system, and the data source of the evaluation index is objectively traceable, and has high practical application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0022] Figure 1 Schematically shows a flowchart of a method for quantitatively evaluating the work efficiency of a medical imaging equipment technician according to an embodiment of the present invention;

[0023] Figure 2 Schematically shows a flowchart of a method for generating a second database based on device logs according to an embodiment of the present invention;

[0024] Figure 3 Schematically shows a flowchart of a method for generating first parameter information according to an embodiment of the present invention;

[0025] Figure 4 Schematically shows a flowchart of a method for generating a quantitative evaluation result of work efficiency according to an embodiment of the present invention;

[0026] Figure 5 Schematically shows a schematic block diagram of a device for quantitatively evaluating the work efficiency of a medical imaging equipment technician according to an embodiment of the present invention;

[0027] Figure 6 Schematically shows a schematic block diagram of a system for quantitatively evaluating the work efficiency of a medical imaging equipment technician according to an embodiment of the present invention;

[0028] Figure 7 Is a schematic structural diagram of an embodiment of an electronic device of the present invention. Detailed implementation manners

[0029] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0030] It should be noted that, without conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0031] The present invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The present invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including storage devices.

[0032] In the present invention, terms such as "module", "device", "system", etc. refer to related entities applied to a computer, such as hardware, a combination of hardware and software, software, or software in execution. Specifically, for example, a component may, but is not limited to, be a process running on a processor, a processor, an object, an executable component, an execution thread, a program, and / or a computer. Also, an application program or script program running on a server, and the server can both be components. One or more components may be in an execution process and / or thread, and the components may be localized on one computer and / or distributed between two or more computers, and may be run by various computer-readable media. The components may also communicate through local and / or remote processes according to a signal having one or more data packets, for example, a signal from data that interacts with another component in a local system, a distributed system, and / or interacts with other systems through a network in the Internet.

[0033] Finally, it should also be noted that in this article, 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 terms "comprising" and "including" not only include those elements, but also other elements not expressly listed, or also include elements inherent to such a process, method, article, or device. Without more limitations, an element defined by the statement "comprising..." does not exclude the existence of additional identical elements in the process, method, article, or device that includes the said element.

[0034] The method for quantitatively evaluating the work efficiency of medical imaging equipment technicians according to the embodiments of the present invention can be used to quantitatively evaluate the work efficiency of operation technicians of medical imaging equipment in any hospital, medical consortium, or regional medical institution. The medical imaging equipment includes, but is not limited to, MRI (magnetic resonance), CT (X-ray computed tomography), etc. The method according to the embodiments of the present invention can be implemented through an independent terminal device, or by combining the terminal device with a cloud server, or by the cloud server. The present invention does not limit this. Through the solution according to the embodiments of the present invention, an objective and reasonable quantitative evaluation of the work efficiency of operation technicians in the medical imaging department can be carried out, and this evaluation result can also reflect the utilization situation of the equipment from the side and be used for multi-dimensional comprehensive evaluation of the equipment utilization rate, so as to help the hospital improve its personnel management efficiency, performance evaluation ability, and equipment utilization efficiency, etc.

[0035] The present invention will be further described in detail below with reference to the accompanying drawings.

[0036] Figure 1 Schematically shows the processing flow of the method for quantitatively evaluating the work efficiency of medical imaging equipment technicians according to an embodiment of the present invention. The execution subject of this method can be a processor such as a PC, computer, tablet, smart phone, server, etc. Referring to Figure 1 As shown, the method includes:

[0037] Step S11, screening out the equipment operation data information of each technician during the corresponding working period from the second database according to the working time data information of each technician obtained from the first database, where the first database is the attendance system database of the target hospital, and the second database is formed based on the equipment logs of each medical imaging equipment;

[0038] Step S12, statistically generating the average scanning duration of each technician classified by scanning part and scanning method according to the equipment operation data information;

[0039] Step S13, obtaining the charging data of each operation classified by scanning part and scanning method from the third database according to the equipment operation data information, where the third database is the HIS system database of the target hospital;

[0040] Step S14, determining the quantitative evaluation result of the work efficiency of the corresponding technician according to the ranking of the average scanning duration of the corresponding technician classified by scanning part and scanning method and the charging data of each operation classified by scanning part and scanning method.

[0041] In step S11, the obtained working time data information is all the clock-in record information of the operation technicians in the attendance data system. This working time data information includes technician ID, equipment number, start working time, and end working time, which are used to define all the working time periods of each operation technician on the corresponding medical imaging equipment. Exemplarily, the time period between the start working time and the end working time in the same data record in the working time data information is a working time period, and each operation technician has his own working time data information, and the working time data information of each technician defines the effective working time period of the technician. The equipment operation data information is obtained based on the working time periods defined by the working time data information, that is, the equipment operation data information on the medical imaging equipment with the same equipment number within all the working time periods defined by the working time data information is obtained. It can be understood that the obtained equipment operation data information can be associated with the technician ID in the working time data information through the equipment number and the working time period, that is, associated with each operation technician. Among them, the obtained equipment operation data information includes the start time, end time, scanned part, and scanning method of each scan, which describes the actual operation records of the operation technician associated with the equipment number, scan start time, and end time during his working time period on the corresponding medical imaging equipment. Among them, since the second database is formed based on the equipment logs of each medical imaging equipment, that is, the data records stored in the second database are generated based on the parsing results of the equipment logs of each medical imaging equipment, and the parsing results include equipment number, start time of each scan, end time, scanned part, scanning method, etc. In actual applications, due to the large variety and models of medical equipment, involving equipment with various different operating systems and different manufacturers, and also involving many old equipment with relatively long ages, these medical equipment have problems that they cannot be configured with NTP clock synchronization. Therefore, for various types of medical equipment, there are technical difficulties in achieving clock synchronization between medical equipment and achieving clock synchronization between medical equipment and the attendance system of the target hospital. That is to say, to obtain the equipment operation data information within the working time period defined by the working time data information from the second database will face the problem of time synchronization between various systems and medical equipment, that is, there is a problem that it is impossible to accurately determine the matching data within the same time period due to clock asynchronization between the start working time and the end working time in the first database and the scan start time and the end time in the second database.Based on this, in order to achieve accurate matching of time periods in the first database and the second database, in the embodiments of the present invention, before generating the scan start time and end time in the second database, the timestamps parsed from the device logs will be processed first, so that the clock of the medical device where the device logs are located can be accurately synchronized with the clock of the attendance system corresponding to the first database, so that the device operation data information within the corresponding working time period can be obtained based on the working time data information defined in the first database. Among them, Figure 2 Schematically shows the method flow of generating the second database based on device logs according to an embodiment of the present invention, as Figure 2 shown, which includes:

[0042] Step S21, obtain the device log files of each medical imaging device and the first parameter information corresponding to the corresponding medical imaging device from the data acquisition box communicatively connected to the medical imaging device in the target hospital. Among them, the first parameter information has a one-to-one correspondence with the medical imaging device, and is used to adjust the timestamp in the device log file on the corresponding medical imaging device so that the time of the medical imaging device is synchronized with the time in the working time data of the first database;

[0043] Step S22, parse the obtained device log files of each medical imaging device, and store the parsing results in the second database. Among them, when storing the parsing results in the second database, for the scan start time and scan end time in the parsing results, they are written into the second database after being adjusted based on the first parameter information of the corresponding medical imaging device.

[0044] In the embodiments of the present invention, in addition to reading device logs from medical imaging devices, the data acquisition box will also generate first parameter information that has a one-to-one correspondence with each medical imaging device. This first parameter information is used to adjust the clock on the corresponding medical imaging device to be synchronized with the NTP clock, so that the medical imaging device can be synchronized with various networked information systems in the hospital, such as the attendance system, HIS information system, etc. As a possible implementation manner, the first parameter information can be generated through the Figure 3 method flow shown, as Figure 3 shown, which includes:

[0045] Step S31, based on the monitoring process pre-configured on the data acquisition box, perform real-time monitoring on the device logs of the medical imaging device communicatively connected to the corresponding data acquisition box. When a new log record is detected in the device logs of the medical imaging device, obtain the first time stamp and the new log record;

[0046] Step S32: Parse the obtained new log records, and extract the device identifier and the second time stamp corresponding to the first time stamp.

[0047] Step S33: Form the first parameter information of the medical imaging device based on the device identifier, the first time stamp, and the second time stamp.

[0048] In step S31, the monitoring process can use the file monitoring command "tail -f -n1 <log file>" provided by the operating system to monitor the update of the device log file of the medical imaging device. Specifically, when a new record appears in the device log file of the medical imaging device, "tail -f -n1 <log file>" will output the newly added line of content. At this time, the data acquisition box records the system time t1 of the data acquisition box as the first time stamp. At the same time, the data acquisition box is also configured to obtain this newly added line of content as the new log record. Thus, in step S31, the first time stamp is the system time of the data acquisition box, which is the time under the NTP clock.

[0049] In step S32, the data acquisition box will parse the new log record, that is, parse this newly generated line of record, and obtain the time stamp t2 as the second time stamp from it. That is, the second time stamp is the generation time of the new log record corresponding to the first time stamp in the device time system of the medical imaging device.

[0050] In step S33, the time difference Δt between the second time stamp t2 and the first time stamp t1 can be calculated as the first parameter information of the corresponding medical imaging device. Based on this first parameter information, the time of the corresponding operation record in the device log can be corrected to be synchronized with the NPT clock when generating the second database.

[0051] In the preferred embodiment, the data acquisition box can be further configured to use the Figure 3 shown method to calculate Δt for the corresponding medical imaging device every once in a while, and by averaging the multiple obtained Δt values, take the average value as the first parameter information of the medical imaging device. In this way, a more accurate first parameter information can be obtained, and a more precise synchronization correction of the clock of the medical imaging device can be achieved. Thus, after calculating the first parameter information Δt of each medical imaging device by the Figure 3 shown method, the data acquisition box can take Δt as the attribute value of the corresponding medical imaging device and upload it to the data server together with the device log file, so that the data server can simultaneously obtain the device log and the first parameter information of the corresponding medical imaging device through step S21.

[0052] Thus, in step S22, when parsing the device log file to form the second database, the start time and end time of the scan in the device log are added with the first parameter information Δt of the corresponding device attribute value of the corresponding medical imaging device, so as to correct the occurrence time of each operation on the medical imaging device, making the start time and end time of the device scan recorded in the second database consistent with the NPT clock. Based on this, for those medical device hosts that cannot be configured with NTP, the above solution can be adopted to solve the problem of time asynchronization between the device clock and information systems such as the attendance system, so that the operation data information in the device log synchronized with the working period of the attendance system can be obtained based on step S11.

[0053] In step S12, the obtained device operation data information can be classified according to the scanned part and scanning method in the device operation data information, and the average scanning duration of each technician classified based on the scanned part and scanning method can be statistically generated according to the start time and end time of the scan. For example, for records with the same scanned part and scanning method, the duration of each record corresponding operation is calculated by subtracting the start time from the end time, and then by adding up the durations of all records with the same scanned part and scanning method and taking the average, that is, dividing by the number of records, the average scanning duration corresponding to a certain scanned part and scanning method can be obtained.

[0054] In step S13, the charging data of all operations corresponding to the scanned parts and scanning methods involved in the device operation information can be obtained from the third database according to the device number, scanned part and scanning method in the device operation data information. That is, each scanned part and scanning method corresponds to a corresponding charging data, which is recorded in the hospital's HIS system. Using the device number, scanned part and scanning method as the unique identification, the charging data required for a certain scan on the corresponding medical imaging device can be matched and screened from the database of the HIS system.

[0055] In step S14, first, the average scanning duration of the current operation technician to be calculated for work efficiency in each scanned part and scanning method can be ranked according to the pre-calculated average scanning duration of all technicians classified based on the scanned part and scanning method. Then, based on the ranking result and the charging data corresponding to the corresponding scanned part and scanning method, the quantitative evaluation result of the work efficiency of the corresponding technician can be determined. As a possible implementation manner, Figure 4 schematically shows a method flow for determining the work efficiency of the corresponding technician based on the ranking result and charging data in an implementation manner, as Figure 4 shown, which includes:

[0056] Step S41: Determine the first quantitative evaluation data of the work efficiency of the corresponding technician based on the ranking of the average scanning duration classified by scanning part and scanning method of the corresponding technician.

[0057] Step S42: Determine the second quantitative evaluation data of the work efficiency of the corresponding technician based on the charging data of each operation classified by scanning part and scanning method.

[0058] Step S43: Determine the quantitative evaluation result of the work efficiency of the corresponding technician based on the first quantitative evaluation data and the second quantitative evaluation data.

[0059] In step S41, based on the ranking and the total number of technicians whose work efficiency needs to be calculated or the total number of the department, the first quantitative evaluation data can be determined according to the ranking of the average scanning duration of the operation technician classified by scanning part and scanning method. For example, for the operation technician who ranks third in the average scanning duration of the corresponding scanning part and scanning method, based on his / her ranking of third and the total number of people, his / her ranking, that is, the third, can be converted into the first quantitative evaluation data. Exemplarily, the conversion between the ranking and the first quantitative evaluation data can be carried out through the following formula (1).

[0060]

[0061] Thus, exemplarily, for the operation technician who ranks third in the average scanning duration of a certain scanning part and scanning method, assuming that the total number of operation technicians in the corresponding department of the hospital is 20, then the calculated corresponding first quantitative evaluation data is [1 - (3 - 1) / (20 - 1)] * 100 ≈ 89.5. By ranking the average scanning duration of the operation technician classified by scanning part and scanning method and reflecting the ranking situation with the first quantitative evaluation data, the work efficiency can reflect the work complexity and processing efficiency of the operation technician, and the ranking situation of the average scanning duration can reflect the utilization rate of the equipment by the technician. Therefore, the work efficiency can also reflect the equipment utilization efficiency from the perspective of the technician's performance.

[0062] In step S42, based on the charging data of each part and method obtained from the HIS system, the second quantitative evaluation data can be calculated. Among them, the second quantitative evaluation data can specifically be used as the weight assigned to the first quantitative evaluation data of each part and method, so that the work efficiency can also reflect the work value and equipment benefits. For example: the charge for scanning part and scanning method A1 is P1, the charge for scanning part and scanning method A2 is P2,... the charge for scanning part and scanning method An is Pn. The weight Qi assigned to the first quantitative evaluation data of a certain scanning part and scanning method, that is, the second quantitative evaluation data, can be calculated by the following formula:

[0063]

[0064] In step S43, the first quantization evaluation data corresponding to each scanning part and method can be weighted and averaged based on the second quantization evaluation data, so as to calculate the quantization evaluation result of the work efficiency of the corresponding operation technician. Taking Fi as the first quantization evaluation data of the technician for the i-th scanning part and scanning method, and Qi as the second quantization evaluation data corresponding to the i-th scanning part and scanning method as an example, the work efficiency M of the corresponding operation technician can be calculated through the following formula:

[0065]

[0066] Since the operation difficulties of different medical imaging devices such as MR, CT, and DR are different, and the operation difficulties and complexities of various different types of scanning operations on each device also vary greatly (such as plain scan and enhanced scan of CT), after the method of the embodiment of the present invention obtains the device operation data information of each operation technician during his working period, it will classify the work difficulties and complexities according to the scanning parts and methods, so as to more objectively quantify the work of the technicians.

[0067] Moreover, the quantization evaluation result of the work efficiency calculated by the embodiment of the present invention comprehensively considers factors such as the difficulty, complexity, value, and work efficiency (determined by the ranking of the average scanning duration) of different scanning parts and methods, and can objectively reflect the work difficulty, workload, and work efficiency of the technicians. In addition, the method of the embodiment of the present invention analyzes by automatically extracting and integrating attendance data, HIS data, and device log data through the system, without the need for complex process reengineering or interface reengineering of the existing information system. The data source of the evaluation index is objectively traceable, and it can extract quantization data on the specific inspection content, benefits, and duration completed by each technician on each device, and combine multiple weighted calculation factors to realize the quantization index analysis of the complexity and benefit output of the actual work completed by each technician. On the one hand, it can better realize the performance appraisal management of the whole department, and on the other hand, it can more dynamically and objectively reflect the professional level and efficiency of the technician team, and can also reflect the utilization efficiency of the device from more dimensions and perspectives, which has important significance and application value for overall improving the clinical scanning quality and efficiency of the radiology department and improving the device management and utilization efficiency.

[0068] Figure 5 Schematically shows a device 5 for quantifying the work efficiency of a medical imaging device technician according to an embodiment of the present invention, as Figure 5 shown, which includes:

[0069] The data acquisition module 51 is used to filter out the equipment operation data information of each technician in the corresponding working time period from the second database according to the working time data information of each technician obtained from the first database, wherein the first database is the attendance system database of the target hospital, and the second database is formed based on the equipment log of each medical imaging device;

[0070] A scanning duration determination module 52 is used to generate an average scanning duration of each technician based on the scanning part and scanning method classification according to the equipment operation data information statistics;

[0071] The charging data acquisition module 53 is used to acquire charging data of various operations classified based on the scanning part and the scanning method from a third database according to the equipment operation data information, wherein the third database is the HIS system database of the target hospital;

[0072] The work efficiency determination module 54 is used to determine the quantitative evaluation result of the work efficiency of the corresponding technician based on the ranking of the average scanning time of the corresponding technician based on the classification of the scanning part and the scanning method and the charging data of each operation based on the classification of the scanning part and the scanning method.

[0073] Among them, the corresponding processing performed on the medical imaging equipment technician work efficiency quantitative evaluation device, such as the specific implementation process of the data acquisition module, the scanning time determination module, the charging data acquisition module and the work efficiency determination module, can refer to the description of the method part above, and will not be repeated here.

[0074] Figure 6 The following schematically shows a system for quantifying the work efficiency of medical imaging equipment technicians according to an embodiment of the present invention. Figure 6 As shown, the system includes a medical imaging device 1, a data acquisition box 2 connected to the medical imaging device 1 for communication, and a server 3 connected to the data acquisition box for communication; wherein,

[0075] The server 3 may be the aforementioned medical imaging equipment technician work efficiency quantitative evaluation device or may be capable of executing Figure 1 A server for the method shown;

[0076] The data acquisition box 2 is used to obtain the device log file of each medical imaging device and generate the first parameter information corresponding to the corresponding medical imaging device, and output the device log file and the corresponding first parameter information to the server 3, wherein the first parameter information is in a one-to-one correspondence with the medical imaging device;

[0077] The server 3 is further configured to parse the device log files of each medical imaging device obtained and store the parsing results in the second database. When storing the parsing results in the second database, for the scan start time and scan end time in the parsing results, they are adjusted based on the first parameter information of the corresponding medical imaging device and then written into the second database to synchronize the time of the medical imaging device with the time in the working time data of the first database.

[0078] As a preferred embodiment, the data acquisition box 2 includes:

[0079] A monitoring process 200, configured to monitor the device logs of the medical imaging device communicatively connected to the corresponding data acquisition box in real time, and obtain a first time stamp and a new log record when a new log record is detected in the device logs of the medical imaging device;

[0080] A log parsing module 300, configured to parse the obtained new log record and extract the device identifier and a second time stamp corresponding to the first time stamp;

[0081] An adjustment parameter generation module 400, configured to form the first parameter information of the medical imaging device based on the device identifier, the first time stamp, and the second time stamp.

[0082] Among them, the corresponding processing performed on the server, such as the method of parsing the device log to form the second database, the specific method of determining the work efficiency quantification evaluation result, etc., and the processing performed on the data acquisition box, such as the monitoring process and its processing process, the specific implementation processes of the log parsing module and the adjustment parameter generation module, etc., can all refer to the description in the method part of the foregoing text and will not be elaborated here.

[0083] It should be noted that in some possible implementation manners, the server 3 in the above system is used to perform operations of obtaining corresponding data information from the first database, the second database, and the third database. Among them, the first database, the second database, and the third database may be set on the server or may not be set on the server. In other implementation manners, the aforementioned attendance system and the second database it provides, and the HIS system and the third database it provides may also be used as components of the medical imaging device technician work efficiency quantification evaluation system of the embodiments of the present invention.

[0084] In some embodiments, the embodiments of the present invention provide a non-volatile computer-readable storage medium, in which one or more programs including execution instructions are stored, and the execution instructions can be read and executed by an electronic device (including but not limited to a computer, a server, or a network device, etc.) to be used to execute the medical imaging device technician work efficiency quantification evaluation method of any one of the above embodiments of the present invention.

[0085] In some embodiments, the embodiments of the present invention further provide a computer program product, which includes a computer program stored on a non-volatile computer-readable storage medium. The computer program includes program instructions that, when executed by a computer, cause the computer to execute the method for quantitatively evaluating the work efficiency of a medical imaging equipment technician in any of the above embodiments.

[0086] In some embodiments, the embodiments of the present invention further provide an electronic device, which includes: at least one processor, and a memory communicatively connected to the at least one processor. Wherein, the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to execute the method for quantitatively evaluating the work efficiency of a medical imaging equipment technician in any of the above embodiments.

[0087] In some embodiments, the embodiments of the present invention further provide a storage medium, on which a computer program is stored. The characteristic is that when the program is executed by a processor, it implements the method for quantitatively evaluating the work efficiency of a medical imaging equipment technician in any of the above embodiments.

[0088] Figure 7 is a schematic hardware structure diagram of an electronic device for executing the method for quantitatively evaluating the work efficiency of a medical imaging equipment technician provided by another embodiment of the present application. As Figure 7 shown, the device includes:

[0089] One or more processors 510 and a memory 520, Figure 7 Taking one processor 510 as an example.

[0090] The device for executing the method for quantitatively evaluating the work efficiency of a medical imaging equipment technician may further include: an input device 530 and an output device 540.

[0091] The processor 510, the memory 520, the input device 530 and the output device 540 may be connected by a bus or other means, Figure 7 Taking connection by bus as an example.

[0092] The memory 520, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the program instructions / modules corresponding to the method for quantitatively evaluating the work efficiency of a medical imaging equipment technician in the embodiments of the present application. The processor 510 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions, and modules stored in the memory 520, that is, implements the method for quantitatively evaluating the work efficiency of a medical imaging equipment technician in the above method embodiments.

[0093] The memory 520 may include a program storage area and a data storage area. The program storage area may store an operating system and application programs required for at least one function. The data storage area may store data created according to the use of the quantitative evaluation method for the work efficiency of medical imaging equipment technicians, etc. In addition, the memory 520 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage devices. In some embodiments, the memory 520 may optionally include a memory remotely provided with respect to the processor 510, and these remote memories may be connected to the electronic device through a network. Examples of the above networks include, but are not limited to, the Internet, intranet, local area network, mobile communication network, and combinations thereof.

[0094] The input device 530 may receive input digital or character information, and generate signals related to user settings and function control of the image processing device. The output device 540 may include a display device such as a display screen.

[0095] The one or more modules are stored in the memory 520 and, when executed by the one or more processors 510, execute the personal performance assessment method for medical imaging equipment operation technicians in any of the above method embodiments.

[0096] The above product may execute the method provided in the embodiments of the present application, and has function modules and beneficial effects corresponding to the execution of the method. For technical details not described in detail in this embodiment, reference may be made to the method provided in the embodiments of the present application.

[0097] The electronic device in the embodiments of the present application exists in various forms, including but not limited to:

[0098] (1) Mobile communication devices: Such devices are characterized by having mobile communication functions and mainly aim to provide voice and data communication. Such terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones, etc.

[0099] (2) Ultra-mobile personal computer devices: Such devices belong to the category of personal computers, have computing and processing functions, and generally also have the characteristic of mobile Internet access. Such terminals include: PDAs, MIDs, and UMPC devices, etc., such as iPad.

[0100] (3) Portable entertainment devices: Such devices can display and play multimedia content. Such devices include: audio and video players (such as iPod), handheld game consoles, e-books, and smart toys and portable in-vehicle navigation devices.

[0101] (4) Server: A device that provides computing services. The server consists of a processor, hard disk, memory, system bus, etc. The server is similar to a general computer architecture, but due to the need to provide highly reliable services, it has higher requirements in terms of processing power, stability, reliability, security, scalability, manageability, etc.

[0102] (5) Other electronic devices with data interaction functions.

[0103] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0104] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part that contributes to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0105] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present application.

Claims

1. A method for quantitatively evaluating the work efficiency of medical imaging equipment technicians, characterized in that: include: According to the working time data information of each technician obtained from the first database, the equipment operation data information of each technician in the corresponding working time period is filtered out from the second database, wherein the first database is the attendance system database of the target hospital, and the second database is formed based on the equipment logs of each medical imaging device; Generate an average scanning time of each technician based on the scanning part and scanning method classification according to the equipment operation data information; According to the device operation data information, charging data of various operations classified based on the scanning part and the scanning method are obtained from a third database, wherein the third database is a HIS system database of the target hospital; The quantitative evaluation results of the work efficiency of the corresponding technicians are determined based on the ranking of the average scanning time of the corresponding technicians based on the classification of scanning parts and scanning methods and the charging data of various operations based on the classification of scanning parts and scanning methods.

2. The method according to claim 1, characterized in that: The second database is generated based on the following method: Acquire a device log file of each medical imaging device and first parameter information corresponding to the corresponding medical imaging device from a data acquisition box in a target hospital that is in communication with the medical imaging device, wherein the first parameter information is in a one-to-one correspondence with the medical imaging device and is used to adjust a timestamp in a device log file on the corresponding medical imaging device so that the time of the medical imaging device is synchronized with the time in the working time data of the first database; The device log files of each acquired medical imaging device are parsed, and the parsing results are stored in a second database. When the parsing results are stored in the second database, the scan start time and the scan end time in the parsing results are adjusted based on the first parameter information of the corresponding medical imaging device before being written into the second database.

3. The method according to claim 2, characterized in that The first parameter information is generated by the following method: Based on the monitoring process pre-configured on the data acquisition box, the device log of the medical imaging device that is connected to the corresponding data acquisition box in real time is monitored, and when a new log record is detected in the device log of the medical imaging device, a first time mark and the new log record are obtained; Parsing the acquired newly added log record to extract a device identifier and a second time stamp corresponding to the first time stamp; First parameter information of the medical imaging device is formed based on the device identification, the first time stamp and the second time stamp.

4. The method according to claim 3, characterized in that: The monitoring process is configured to monitor the device log of the medical imaging device in real time based on the file monitoring command tail-f-n1.

5. The method according to claim 1, characterized in that The quantitative evaluation results of the technicians' work efficiency are determined based on the ranking of the technicians' average scanning time based on the scanning part and scanning method classification and the charging data of various operations based on the scanning part and scanning method classification, including: Determining first quantitative evaluation data of the work efficiency of the corresponding technician according to the ranking of the average scanning time of the corresponding technician based on the classification of the scanning part and the scanning method; Determine second quantitative evaluation data of the work efficiency of the corresponding technician based on the charge data of each operation classified based on the scanning part and the scanning method; A quantitative evaluation result of the work efficiency of the corresponding technician is determined according to the first quantitative evaluation data and the second quantitative evaluation data.

6. A device for quantitatively evaluating the work efficiency of medical imaging equipment technicians, characterized in that: include: A data acquisition module, used to filter out the equipment operation data information of each technician in the corresponding working time period from the second database according to the working time data information of each technician obtained from the first database, wherein the first database is the attendance system database of the target hospital, and the second database is formed based on the equipment log of each medical imaging device; A scanning duration determination module is used to generate the average scanning duration of each technician based on the scanning part and scanning method classification according to the equipment operation data information statistics; A charging data acquisition module, used to acquire charging data of various operations classified based on scanning parts and scanning methods from a third database according to the equipment operation data information, wherein the third database is a HIS system database of the target hospital; The work efficiency determination module is used to determine the quantitative evaluation result of the work efficiency of the corresponding technician based on the ranking of the average scanning time of the corresponding technician based on the classification of the scanning part and the scanning method and the charging data of each operation based on the classification of the scanning part and the scanning method.

7. A quantitative evaluation system for the work efficiency of medical imaging equipment technicians, characterized in that: It includes a medical imaging device, a data acquisition box and a server connected to the medical imaging device for communication; wherein, The server is the device for quantitatively evaluating the work efficiency of medical imaging equipment technicians as described in claim 6; The data acquisition box is used to obtain the device log file of each medical imaging device and generate the first parameter information corresponding to the corresponding medical imaging device, and output the device log file and the first parameter information corresponding thereto to the server, wherein the first parameter information is in a one-to-one correspondence with the medical imaging device; The server is also used to parse the device log files of each medical imaging device obtained, and store the analysis results in a second database. When storing the analysis results in the second database, the scan start time and the scan end time in the analysis results are adjusted based on the first parameter information of the corresponding medical imaging device and then written into the second database, so that the time of the medical imaging device is synchronized with the time in the working time data of the first database.

8. The system according to claim 7, characterized in that The data acquisition box comprises: A monitoring process is used to monitor the device log of the medical imaging device that is connected to the corresponding data acquisition box in real time, and when a new log record is detected in the device log of the medical imaging device, obtain the first time mark and the new log record; A log parsing module, used to parse the acquired new log record and extract a device identifier and a second time stamp corresponding to the first time stamp; The adjustment parameter generation module is used to form first parameter information of the medical imaging device based on the device identification, the first time mark and the second time mark.

9. Electronic equipment, comprising: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the steps of the method described in any one of claims 1 to 5.

10. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 5 are implemented.

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