Method for counting workload of image technicians

Abstract

The invention relates to the field of medical information, in particular to an image technician workload statistical method which comprises the following steps: collecting clinical browsing whole process data when each technician checks each patient; establishing a data general table by using all the collected clinical browsing whole process data; performing data processing on the data general table to obtain a first time length statistical table; performing data processing on the first duration statistical table to obtain a second duration statistical table; setting a workload reference value corresponding to each average inspection time length; performing classification processing on the data general table to obtain a data sub-table corresponding to each technician; obtaining a ratio of the inspection duration to the average duration, and obtaining a first weighted value according to the workload reference value and the ratio; obtaining a product of the first weighted value and the detection duration to obtain a weighted workload; and accumulating the weighted workload of each detection item to obtain the total workload of the corresponding technician. According to the invention, the convenience of the workload statistical process of image technicians and the accuracy of statistical results can be improved.

Description

Technical Field

[0001] The present invention relates to the field of medical information, and in particular to a method for counting the workload of imaging technicians. Background Art

[0002] At present, the workload statistics of imaging technicians are mainly based on the classification statistics of all types of examinations performed by technicians within a certain statistical time range, and the weighted coefficient of each different examination item is multiplied by the corresponding examination time to obtain the score of each examination item, and then the scores of each examination item are accumulated to obtain the total score, and then other adjustment coefficients are used. Therefore, the statistics of the workload of imaging technicians are no longer simply linearly related to the number of patients scanned, but are related to the weighted labor intensity.

[0003] However, a medical institution's HIS system may contain dozens or even hundreds of examination items, and different machines have different scanning performances. In addition, complex factors such as the machine room conditions, whether to push beds / wheelchairs, whether to enhance scanning, patient status, equipment updates, and increased examination items make it difficult to set a reasonable weighting coefficient for each examination item in each scenario, resulting in high complexity and poor rationality in the workload statistics of radiologists, which ultimately affects the accuracy of the workload statistics results of radiologists.

[0004] In view of this, this application is hereby filed. Summary of the invention

[0005] The technical problem to be solved by the present invention is that the existing method for counting the workload of imaging technicians is highly complex and irrational, which affects the accuracy of the statistical results.

[0006] In order to solve the above technical problems, the present invention is implemented by the following technical solutions: A method for counting the workload of imaging technicians is proposed, comprising the following steps: collecting clinical browsing data of each technician during the whole process of examining each patient; establishing a data summary table by using all collected clinical browsing data of the whole process; processing the data summary table to obtain a first duration statistical table; the first duration statistical table contains the examination duration corresponding to each examination item of each patient; processing the first duration statistical table to obtain a second duration statistical table; the second duration statistical table contains the average examination duration corresponding to each examination item; setting a workload benchmark value corresponding to each average examination duration; classifying the data summary table to obtain a data sub-table corresponding to each technician; for each examination item in each data sub-table: obtaining a ratio of the examination duration to the average duration, obtaining a first weighted value according to the workload benchmark value and the ratio; obtaining the product of the first weighted value and the examination duration to obtain a weighted workload; for each data sub-table: accumulating the weighted workload of each examination item to obtain the total workload of the corresponding technician.

[0007] Furthermore, the second duration statistics table also includes an average scanning duration corresponding to each device.

[0008] Furthermore, before classifying the data table, the following steps are also included: screen out the device corresponding to the maximum average scan time; use the maximum average scan time as the scan time benchmark; for each of the remaining devices: obtain the ratio between the average scan time and the maximum average scan time, and use the inverse of the ratio as the device capacity coefficient x , according to the equipment capacity coefficient x Get the equipment fatigue coefficient; Equipment fatigue coefficient = .

[0009] Furthermore, after the weighted workload is obtained, the following steps are also included: obtaining the product of the weighted workload and the equipment fatigue coefficient to obtain a new weighted workload; and updating the original weighted workload using the new weighted workload.

[0010] Furthermore, after obtaining the weighted workload, the following steps are also included: setting a second weighted value; the second weighted value is used to calibrate the technician's scanning ability; obtaining the product of the second weighted value and the weighted workload to obtain a new weighted workload; and replacing the original weighted workload with the new weighted workload.

[0011] Furthermore, after obtaining the total workload of the corresponding technician, the following steps are also included: setting a first workload deduction parameter and a second workload deduction parameter; the first workload deduction parameter is used to calibrate the quality of the scanned image; the second workload deduction parameter is used to calibrate the technician's work accidents; the technician's final workload = total workload - first workload deduction parameter - second workload deduction parameter.

[0012] Furthermore, the method for collecting data of the entire clinical browsing process is: collecting message data of each site of the imaging department resource management platform; the message data includes: site ID, examination items, equipment ID, examination start time, examination end time, bed information, medical order information, application purpose, patient information and technician information; using a PACS system or a RIS system to convert the message information into the data of the entire clinical browsing process.

[0013] Furthermore, inspection duration = inspection end time - inspection start time.

[0014] Furthermore, the start time of the examination includes: the time when the camera detects the patient entering the examination room, the time when the worklist information is extracted from the imaging department management platform, or the time when the technician scans the patient's wristband; the end time of the examination includes: the time when the imaging department resource management platform issues the MPPS status, the time when the patient's last scanned image is uploaded, or the time when the camera detects the patient leaving the examination room.

[0015] Furthermore, the imaging technician workload statistics method also includes the following steps: when the equipment is updated, the equipment ID is updated synchronously in real time; when the inspection items are added, the inspection items are updated synchronously in real time and the inspection items that are no longer used are deleted.

[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects: 1. Taking the duration of the inspection project as the core of evaluating the workload of the imaging technicians, on the one hand, ensures the objectivity and rationality of the statistical process, and on the other hand, it is possible to complete the statistical work of the imaging technicians' workload by setting limited correction parameters, thereby eliminating the impact of complex environmental factors, equipment factors, human factors, etc. on the accuracy of the statistical results. Specifically: for each inspection item, the average inspection time for all imaging technicians to complete the inspection item is used as the workload benchmark value, and the ratio between the actual inspection time for the imaging technician to complete the item and the workload benchmark value is used as the weighted value for calculating the workload. The workload corresponding to the imaging technician completing the inspection item is obtained by obtaining the product of the weighted value and the inspection time, and finally the workload of each inspection item is summarized to obtain the total workload. In this way, the workload statistics are completed by using only a limited number of weighted values ​​as correction coefficients, avoiding the interference of complex factors, and improving the convenience of the statistical process and the accuracy of the statistical results.

[0017] 2. The different scanning capabilities of new and old equipment are taken as an important factor affecting the technician's workload. Considering that in the case of work saturation, due to the high working efficiency of new equipment, technicians receive more patients in the same working hours compared with old equipment, resulting in more extra labor (such as running errands) for using new equipment. Therefore, the average time for all equipment to complete the same examination project is used as the scanning time benchmark value. Based on the scanning time benchmark value, the capacity coefficient of each device is further obtained, and then the fatigue coefficient of each device is obtained. The equipment fatigue coefficient is used to correct the weighted workload of technicians to improve the accuracy of workload statistics.

[0018] 3. Taking into account the impact of technicians' scanning skills, scanning image quality and work accidents on the final workload statistics, a second weighted value is set to correct the original weighted value, and a workload deduction parameter is set to correct the total workload, thereby improving the rationality of the final statistical results.

[0019] 4. Ability to complete device ID update and inspection item update in real time. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 A schematic diagram of a method flow of a method for counting the workload of imaging technicians provided in Example 1 of the present invention; Figure 2 A schematic diagram of the data structure of the data summary table provided in Example 1 of the present invention; Figure 3 A schematic diagram of the data structure of the first duration statistics table provided in Example 1 of the present invention; Figure 4 A schematic diagram of the data structure of a data sub-table provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0022] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0023] In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is apparent to one of ordinary skill in the art that these specific details are not necessarily employed to practice the present invention. In other embodiments, in order to avoid obscuring the present invention, well-known structures, circuits, materials, or methods are not specifically described.

[0024] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "one embodiment," "an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or sub-combination. In addition, it will be appreciated by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0025] In the description of the present invention, the directions or positional relationships indicated by terms such as “front”, “rear”, “left”, “right”, “up”, “down”, “vertical”, “horizontal”, “high”, “low”, “inside” and “outside” are based on the directions or positional relationships shown in the accompanying drawings and are only for the convenience of describing the present invention and simplifying the description. They do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they should not be understood as limiting the scope of protection of the present invention.

[0026] Example 1: Every month, the final statistical result of the imaging technician's workload is a numerical value. The workload of the technician is usually calculated by taking the workload of scanning chest X-rays or the workload of scanning head CT as the standard value "1", comparing the workload of other examination items with the standard value "1", and taking the ratio as the workload coefficient. For example, the workload coefficient of chest CT is 1.2, the workload coefficient of abdominal and pelvic CT is 1.5, the workload coefficient of chest enhanced CT is 2.5, and the workload coefficient of upper abdominal enhanced CT is 3.5. Then multiply the scanning time of the examination item by the corresponding workload coefficient to obtain the workload corresponding to each examination item. Finally, add up the workload of all examination items within a statistical period to form the total workload.

[0027] Based on the above statistical scheme, this embodiment proposes a method for calculating the workload of radiographers, which takes the inspection time as the core of measuring the workload of radiographers. For each inspection item, the average inspection time of all radiographers to complete the inspection item is used as the workload benchmark value, and the ratio between the actual inspection time of the radiographer to complete the item and the workload benchmark value is used as the weighted value for calculating the workload. The workload corresponding to the inspection item completed by the radiographer is obtained by multiplying the weighted value and the inspection time, and finally the workload of each inspection item is summarized to obtain the total workload. Specifically including Figure 1 The following steps are shown: Step 1: Collect data on the entire clinical browsing process when each technician examines each patient.

[0028] This step collects the clinical browsing process data of each technician when examining each patient through the imaging department resource management platform. Specifically, the message data of each site of the imaging department resource management platform is collected; then, the message information is converted into the clinical browsing process data by using the PACS system or RIS system. Among them, the message data includes: site ID, examination items, equipment ID, examination start time, examination end time, bed information (whether it is a large bed), medical order information, application purpose, patient information and technician information. Furthermore, in the message data, the examination start time can be the time when the camera monitors the patient entering the examination room, the time when the worklist information is extracted from the imaging department management platform, or the time when the technician scans the patient's wristband; the examination end time can be the time when the imaging department resource management platform issues the MPPS status, the time when the patient's last scanned image is uploaded, or the time when the camera monitors the patient leaving the examination room.

[0029] It should be noted that the imaging department resource management platform is a data collection and analysis platform for the imaging department's business process. The platform can collect all process data of patients from clinical application to clinical browsing after the examination. There are hundreds of collection point types in a single business process. Its basic principle is to collect message data at each site and each business time node in the information system. Each message data contains information such as time, site, patient, staff, and event type. These data nodes are set and obtained through code modification of the PACS / RIS system. Furthermore, Worklist is a list of examination tasks generated by the imaging department management platform and sent to the imaging equipment. It contains detailed information such as patient information, examination type, and examination site. The imaging equipment can directly obtain this data from the Worklist to avoid manual input errors. The Worklist contains the following information: (1) Patient information: patient name, patient ID (unique identifier), gender, date of birth; (2) Examination information: examination type (such as CT head, MRI spine, etc.), examination site, examination date and time, examination requesting doctor; (3) Equipment information: imaging equipment name, equipment location; (4) Other information: examination priority (such as emergency, general), examination precautions (such as allergy history, contraindications). In addition, the "MPPS status" in the imaging department resource management platform is used to manage and track the examination step status of imaging equipment, which refers to the real-time status information sent by imaging equipment (such as CT, MRI, etc.) to the resource management platform during the examination process. This information includes: examination start, in progress, completed or canceled status, and detailed examination information such as patient ID, examination type, equipment information, etc. The MPPS status helps the imaging department management system to monitor the inspection progress in real time and optimize the workflow. Its functions include: real-time monitoring: tracking the inspection status of imaging equipment to ensure that the inspection is carried out as planned; resource optimization: rationally allocating resources according to the equipment status to improve efficiency; error handling: timely discovering and handling problems in the inspection, such as equipment failure or inspection interruption; data synchronization: ensuring that the data of the imaging equipment is consistent with that of PACS (Picture Archiving and Communication System) or RIS (Radiology Information System).

[0030] Step 2: Use all collected clinical browsing process data to create a data summary table.

[0031] The data structure of the data table is as follows Figure 2 shown.

[0032] Step 3: Process the data summary table to obtain the first duration statistics table.

[0033] Since each patient may only participate in one examination item, or may also undergo multiple examinations at the same time, in this step, data processing of the data summary table specifically refers to: calculating the examination duration corresponding to each examination item of each patient according to the examination start time and examination end time corresponding to each technician's examination of each patient in the data summary table. Then examination duration = examination end time - examination start time.

[0034] The data structure of the first duration statistics table is as follows Figure 3 shown.

[0035] Step 4: Process the first duration statistics table to obtain a second duration statistics table.

[0036] According to step 3, each imaging technician may have carried out a certain examination item, that is, a certain examination item may correspond to multiple examination durations. In this step, data processing of the first time statistics table specifically refers to: according to one or more examination durations corresponding to each examination item in the first duration statistics table, calculating the average duration corresponding to each examination item.

[0037] It should be noted that the average duration of each inspection item is the average inspection time of the inspection item obtained by statistics in the "big pot" mode. Specifically, the equipment with high work efficiency (new equipment) can see a large number of patients per unit time, and the average inspection time is short; on the contrary, the equipment with low work efficiency (old equipment) can see a small number of patients per unit time, and the average inspection time is long. In addition, the inspection time is also affected by the work ability of the technician. For example, if the technician's work ability is strong, the number of patients seen per unit time is large, and the average inspection time is long; on the contrary, if the technician's work ability is weak, the number of patients seen per unit time is small. It can be seen that the inspection time of a certain inspection item will be affected by both the equipment's work efficiency and the technician's work ability. Therefore, this embodiment calculates the corresponding average inspection time for each inspection item, thereby avoiding the traditional statistical method that ignores the impact of equipment efficiency and technician work ability, that is, avoiding directly setting the inspection time standard value "1" for a certain inspection item, and directly comparing the inspection time of the remaining inspection items with the standard value "1", ignoring the impact of the difference in work efficiency between new and old equipment and the difference in technician work ability on the statistical structure.

[0038] Step 5: Set the workload baseline value corresponding to each average inspection time.

[0039] For example, for each inspection item, a work benchmark value corresponding to the average inspection duration may be set to 1.

[0040] Step 6: Classify the total data table to obtain the data sub-table for each technician.

[0041] The data structure of the data subtable is as follows Figure 4 shown.

[0042] from Figure 2 and Figure 3 It can be seen that each patient may receive multiple examination items and correspond to multiple different technicians, so the examination items performed by different technicians may overlap. In this step, classifying the data summary table means classifying and summarizing all the examination items performed by the same technician based on the second duration statistics table, with the technician as the label, to obtain the data sub-table corresponding to each technician. Through the data sub-table, you can intuitively know the corresponding examination time when each technician performs each examination item.

[0043] Step 7: For each inspection item in each data subtable: obtain the ratio of the inspection time to the average time, and obtain the first weighted value according to the workload benchmark value and the ratio; obtain the product of the first weighted value and the inspection time to obtain the weighted workload.

[0044] This step uses the traditional statistical method. For example, for technician A, the inspection time corresponding to inspection item A1 is T1; if the average inspection time corresponding to inspection item A1 is T, then the ratio between the inspection time T1 of inspection item A1 and the average inspection time T is T / T1; if the work benchmark value corresponding to the average inspection time of inspection item A1 is X, then the first weighted value corresponding to inspection item A1 is T / (T1×X); multiply the first weighted value T / (T1×X) by the inspection time T1, and the weighted workload of technician A for inspection item A1 is (T1×T) / (T1×X).

[0045] For another example, the workload benchmark value corresponding to the average inspection time of the X-ray chest scan test item or the CT head scan test item is 1. Then, according to the inspection time of each other test item in the first time statistics table, the weighted workload of the technician to complete each test item can be determined. The weighted workload of the test items with less time is lower than 1, and the weighted workload of the test items with more time is higher than 1, and the linear proportion can be used for statistics.

[0046] Step 8: For each data sub-table: add up the weighted workload of each inspection item to obtain the total workload of the corresponding technician.

[0047] Embodiment 2: According to step 4 in embodiment 1, the labor intensity of technicians will be different due to differences in equipment capabilities. Assume the following scenario: the same technician works very hard and has a very full task. He does the same examination. It takes 8 minutes to complete the examination item on the old equipment, and only 2 minutes to complete the same examination item on the new equipment. The average time for all equipment in the general department to complete the same examination item is 4 minutes. Then the workload of this examination item on the old equipment is 2, and the workload of this examination item on the new equipment is 0.5. If all are working at full capacity, during the same shift, whether using old equipment or new equipment, the final accumulated workload is the same. But the hidden problem is that the more patients are received using new equipment, the greater the amount of extra labor (such as running errands) that the technician needs to pay. If the extra workload is not reflected in the total workload, the use of new equipment will be reduced.

[0048] Therefore, this embodiment further optimizes the imaging technician workload statistics method proposed in Embodiment 1, that is, the statistical item of the average scanning time corresponding to each device is added to the second time statistics table to balance the differences in technician workload caused by differences in equipment performance.

[0049] Specifically, before classifying the data table, select the device with the maximum average scan time; use the maximum average scan time as the scan time benchmark; for each remaining device: obtain the ratio between the average scan time and the maximum average scan time, and use the inverse of the ratio as the device capacity coefficient x , according to the equipment capacity coefficient x Get the equipment fatigue coefficient; Equipment fatigue coefficient = .

[0050] For example, for the same inspection item, the device corresponding to the maximum average scanning time is considered as the device with the worst capability. The reciprocal of the ratio between the inspection time of the remaining devices for the same inspection item and the inspection time of the device with the worst capability is calculated, and the reciprocal is used as the capability coefficient of the remaining devices for the item. x. For example, the time for scanning a head on CT1 is 8 minutes, which is longer than that of all other CT scans; the average time for scanning a head on CT2 is 5 minutes, so the equipment capability score of CT1 is 1, and the equipment capability score of CT2 is 8 / 5=1.6. Then convert the capability coefficient x of each other equipment into the corresponding fatigue coefficient. When the shift time is the same, the workload difference caused by the difference in equipment capability is not linear, but a logarithmic relationship. For example, if the old equipment can scan 10 heads in one shift, and the new equipment can scan 20 heads, then its fatigue coefficient should be similar to LG(20)≈1.301. Multiply the equipment capability coefficient by 10, and then calculate the LOG value with base 10 as the fatigue coefficient of the equipment.

[0051] Furthermore, after the weighted workload is obtained, the product of the weighted workload and the equipment fatigue coefficient is obtained to obtain a new weighted workload; and the original weighted workload is updated using the new weighted workload.

[0052] Example 3: Based on Example 1, this example also takes technicians' work ability, image quality and work accidents as additional factors for calculating the total workload of technicians. Among them, (1) for projects with the same examination time, due to different diagnosis and treatment purposes, the examination plans are also different and have different complexities. For example, liver angiography may involve three-phase scanning, and it is necessary to accurately grasp the scanning time according to the patient's age, gender, and weight, so technicians need to have certain examination skills, which can also be used as factors affecting the technician's workload. (2) Image quality problems such as artifacts in a single examination image and incorrect scanning conditions are work quality problems, which are used as deduction items from the total workload of technicians. (3) Medical errors mainly refer to situations such as misidentification and location errors; patient safety mainly refers to situations such as patient falls, lack of protection, and large beds colliding with equipment. The general map can be used as a deduction item from the total workload of technicians.

[0053] Therefore, this embodiment is further optimized based on the imaging technician workload statistics method proposed in Embodiment 1, including: After obtaining the weighted workload, a second weighted value is set; the second weighted value is used to calibrate the technician's scanning ability; the product of the second weighted value and the weighted workload is obtained to obtain a new weighted workload; and the original weighted workload is replaced with the new weighted workload.

[0054] After obtaining the total workload of the corresponding technician, the first workload deduction parameter and the second workload deduction parameter are set; the final workload of the technician = the total workload - the first workload deduction parameter - the second workload deduction parameter. Among them, the first workload deduction parameter is used to calibrate the quality of the scanned image; the second workload deduction parameter is used to calibrate the work accidents of the technician.

[0055] Embodiment 4: Embodiment 4: Corresponding to Embodiment 1, this embodiment proposes a system for counting the workload of imaging technicians, including: The data collection module is used to collect the data of the entire clinical browsing process when each technician examines each patient.

[0056] The first data processing module is used to establish a data summary table using all collected clinical browsing process data.

[0057] The second data processing module is used to process the data summary table to obtain a first duration statistical table; the first duration statistical table contains the examination duration corresponding to each examination item of each patient.

[0058] The third data processing module is used to process the first duration statistical table to obtain a second duration statistical table; the second duration statistical table contains the average inspection duration corresponding to each inspection item.

[0059] The fourth data processing module is used to set a workload benchmark value corresponding to each average inspection duration.

[0060] The fifth data processing module is used to classify the data master table to obtain a data sub-table corresponding to each technician.

[0061] The sixth data processing module is used to obtain the ratio of the inspection time to the average time for each inspection item in each data sub-table, and obtain the first weighted value according to the workload benchmark value and the ratio; obtain the product of the first weighted value and the inspection time to obtain the weighted workload.

[0062] The seventh data processing module is used for accumulating the weighted workload of each detection item for each data sub-table to obtain the total workload of the corresponding technician.

[0063] Embodiment 5: Based on the method provided in the above embodiment 1, embodiment 2 or embodiment 3 and the system provided in embodiment 4, this embodiment provides a computer device for executing the method described in embodiment 1, embodiment 2 or embodiment 3, including a memory, a processor and a transceiver connected in sequence, wherein the memory is used to store a computer program, the transceiver is used to send and receive messages, and the processor is used to read the computer program and execute the method described in embodiment 1, embodiment 2 or embodiment 3. Specifically, the memory may include, but is not limited to, a random access memory (Random-Access Memory, RAM), a read-only memory (Read-Only Memory, ROM), a flash memory (Flash Memory), a first-in-first-out memory (First Input First Output, FIFO) and / or a first-in-last-out memory (First Input Last Output, FILO), etc.; the processor may include, but is not limited to, a microprocessor of the STM32F105 series. In addition, the computer device may also include, but is not limited to, a power module, a display screen and other necessary components.

[0064] The working process, working details and technical effects of the aforementioned computer device provided in this embodiment can be found in the method described in Example 1, Example 2 or Example 3, and will not be described in detail here.

[0065] Embodiment 6: This embodiment provides a computer-readable storage medium that stores the method described in Embodiment 1, Embodiment 2 or Embodiment 3, that is, the computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the method described in Embodiment 1, Embodiment 2 or Embodiment 3 is executed. The computer-readable storage medium refers to a carrier for storing data, which may include but is not limited to computer-readable storage media such as floppy disks, optical disks, hard disks, flash memories, USB flash drives and / or memory sticks, and the computer may be a general-purpose computer, a special-purpose computer, a computer network or other programmable devices.

[0066] Example 7: The working process, working details and technical effects of the aforementioned computer-readable storage medium provided in this example can be found in the method described in Example 1, Example 2 or Example 3, and will not be repeated here.

[0067] Embodiment 8: This embodiment provides a computer program product including instructions, which, when executed on a computer, causes the computer to execute the method described in Embodiment 1, Embodiment 2 or Embodiment 3. The computer may be a general-purpose computer, a special-purpose computer, a computer network or other programmable device.

[0068] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for counting the workload of imaging technicians, characterized in that: The following steps are involved: Collect data on the entire clinical browsing process when each technician examines each patient; Use all collected clinical browsing process data to establish a data summary table; Processing the data summary table to obtain a first duration statistical table; the first duration statistical table contains the examination duration corresponding to each examination item of each patient; Performing data processing on the first duration statistical table to obtain a second duration statistical table; The second duration statistics table contains the average inspection duration corresponding to each inspection item; Set the workload benchmark value corresponding to each average inspection time; Classify the data table to obtain the data sub-table corresponding to each technician; For each inspection item in each data subtable: obtain the ratio of the inspection time to the average time, obtain the first weighted value according to the workload benchmark value and the ratio; obtain the product of the first weighted value and the inspection time to obtain the weighted workload; For each data sub-table: add up the weighted workload of each inspection item to obtain the total workload of the corresponding technician.

2. The method for calculating the workload of imaging technicians according to claim 1, characterized in that: The second duration statistics table also includes the average scanning duration corresponding to each device; Before classifying the data table, the following steps are also included: filter out the equipment corresponding to the maximum average scan time; use the maximum average scan time as the scan time benchmark; for each of the remaining equipment: obtain the ratio between the average scan time and the maximum average scan time, and use the inverse of the ratio as the equipment capacity coefficient x , according to the equipment capacity coefficient x Get the equipment fatigue coefficient; Equipment fatigue coefficient = ; After the weighted workload is obtained, the following steps are also included: obtaining the product of the weighted workload and the equipment fatigue coefficient to obtain a new weighted workload; and updating the original weighted workload using the new weighted workload.

3. The method for calculating the workload of imaging technicians according to claim 1, characterized in that: After obtaining the weighted workload, the following steps are also included: Setting a second weighted value; the second weighted value is used to calibrate the scanning ability of the technician; Obtaining the product of the second weighted value and the weighted workload to obtain a new weighted workload; The original weighted workload is replaced by the new weighted workload.

4. A method for counting the workload of imaging technicians according to any one of claims 1 to 3, characterized in that: After obtaining the total workload of the corresponding technician, the following steps are also included: Setting a first workload deduction parameter and a second workload deduction parameter; the first workload deduction parameter is used to calibrate the quality of the scanned image; the second workload deduction parameter is used to calibrate the technician's work accidents; The technician's final workload = total workload - first workload deduction parameter - second workload deduction parameter.

5. A method for counting the workload of imaging technicians according to any one of claims 1 to 3, characterized in that: The method for collecting data of the entire clinical browsing process is as follows: Collect message data of each site on the imaging department resource management platform; the message data includes: site ID, examination item, equipment ID, examination start time, examination end time, bed information, doctor's order information, application purpose, patient information and technician information; The message data is converted into the clinical browsing whole process data by using a PACS system or a RIS system.

6. The method for counting the workload of imaging technicians according to claim 5, characterized in that: Inspection duration = inspection end time - inspection start time; The examination start time includes: the time when the camera detects the patient entering the examination room, the time when the worklist information is extracted from the imaging department management platform, or the time when the technician scans the patient's wristband; The examination end time includes: the time when the imaging department resource management platform issues the MPPS status, the time when the patient's last scan image is uploaded, or the time when the camera detects that the patient leaves the examination room.

7. The method for counting the workload of imaging technicians according to claim 5, characterized in that: The following steps are also included: When the device is updated, the device ID is updated synchronously in real time; When adding inspection items, the inspection items are updated synchronously in real time, and inspection items that are no longer used are deleted.

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