CN110164539B - Analysis method for work schedule of medical equipment - Google Patents
Analysis method for work schedule of medical equipment Download PDFInfo
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- CN110164539B CN110164539B CN201810146857.2A CN201810146857A CN110164539B CN 110164539 B CN110164539 B CN 110164539B CN 201810146857 A CN201810146857 A CN 201810146857A CN 110164539 B CN110164539 B CN 110164539B
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Abstract
The embodiment of the invention provides an analysis method for work scheduling of medical equipment. The method comprises the following steps: analyzing a working log in a working period of the medical equipment, and determining a plurality of use intervals and use times of the medical equipment in the working period; establishing a coordinate system by taking the use interval as a vertical coordinate and the use times as a horizontal coordinate, and generating a use interval distribution curve in a working period; the method comprises the steps of counting the relative proportion relation of different distribution ranges of the use intervals to serve as an efficiency index of work scheduling of the medical equipment, counting the fluctuation of the use intervals of the equipment, and determining the regular characteristics of the use intervals to serve as a supplementary index of the work scheduling efficiency. The embodiment of the invention realizes the data analysis of the work scheduling efficiency of the medical equipment, can help hospitals to track the change of the equipment efficiency in real time, and can effectively compare with the similar equipment of different hospitals.
Description
Technical Field
The invention relates to the technical field of medical equipment management, in particular to an analysis method for work scheduling of medical equipment.
Background
With the progress and development of medical technology, advanced scientific technology is continuously applied to medical equipment, and the development of medical technology depends on the development of instruments to a great extent. In recent years, large-scale medical equipment such as X-ray machines, ultrasound machines, CT (Computed Tomography) machines, magnetic resonance scanners, etc. have become more and more popular in hospitals, and these equipment make a great contribution to rapid and accurate diagnosis of diseases and also become one of the important economic sources of hospitals.
The medical equipment in different hospitals has different use conditions, and some hospitals adopt a scientific work scheduling mode, so that the medical equipment can be efficiently used, more treatment cases can be completed every day, the economic benefit is obvious, and virtuous circle is realized; some hospitals have low efficiency of medical equipment work scheduling, so that patients cannot be diagnosed in time, and even the equipment is idle, so that the resource waste is caused.
In order to clarify the usage status of the medical device, the medical staff usually makes manual statistics on the usage record of the medical device, and determines the work schedule state of the medical device by calculating the usage time, and determines the efficiency of the medical device by the schedule state.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the related art:
due to the fact that manual statistics is used, random errors occur inevitably, the statistical dispatching state is wrong, and accuracy of manual statistics on the working dispatching of the medical equipment is affected. The statistical medical devices have different use frequencies, and a unified scientific index is not used for measuring the scheduling condition of the medical devices, so that scheduling improvement cannot be performed according to the statistical scheduling condition.
Disclosure of Invention
The method at least solves the problems that random errors are caused inevitably by using manual statistics and a unified scientific index is not available for measuring the scheduling condition of the medical equipment after statistics in the prior art.
In a first aspect, an embodiment of the present invention provides an analysis method for a work schedule of a medical device, including:
analyzing a working log in a working cycle of the medical equipment, and determining a plurality of use intervals and use times of the medical equipment in the working cycle, wherein the use intervals refer to idle time of the medical equipment between two adjacent treatment cases;
establishing a coordinate system by taking the use interval as a vertical coordinate and the use times as a horizontal coordinate, and generating a use interval distribution curve in the working period according to the sequence of the use intervals from small to large;
determining a first integral area of a curve segment corresponding to a minimum scanning interval to a preset first time length threshold value, and simultaneously determining a second integral area of a curve segment corresponding to a preset second time length threshold value to a maximum using interval, wherein the second time length threshold value is larger than the first time length threshold value;
and taking a first ratio of the first integral area to the integral area using the interval distribution curve and a second ratio of the second integral area to the integral area using the interval distribution curve as the efficiency index of the work scheduling.
In a second aspect, an embodiment of the present invention provides an analysis method for a work schedule of a medical device, including:
analyzing a working log in a working cycle of the medical equipment, and acquiring a plurality of use intervals of the medical equipment in the working cycle and the use occurrence time of the medical equipment, wherein the use intervals refer to idle time of the medical equipment between two adjacent treatment cases;
screening out a part of use intervals smaller than a set time length threshold from the plurality of use intervals as effective use intervals;
establishing a coordinate system by taking the effective use interval as a vertical coordinate and the use occurrence time of the medical equipment as a horizontal coordinate, and generating a use interval fluctuation curve in the working period;
identifying each bristle point of the curve from the use interval fluctuation curve, and determining the ratio of the duration of the time interval of all the bristle points to the total duration of the use interval distribution curve;
and taking the result of subtracting the ratio from one as the regularity index of the work scheduling.
In a third aspect, an embodiment of the present invention provides an analysis method for work scheduling of a medical device, including:
analyzing a working log in a working cycle of the medical equipment, and determining a plurality of use intervals, use times and use occurrence time of the medical equipment in the working cycle, wherein the use intervals refer to idle time of the medical equipment between two adjacent treatment cases;
establishing a first coordinate system by taking the use interval as a vertical coordinate and the use times as a horizontal coordinate, and generating a use interval distribution curve in the working period according to the sequence of the use intervals from small to large;
determining a first integral area of a curve segment corresponding to the minimum usage interval to a preset first time length threshold, determining a second integral area of a curve segment corresponding to a preset second time length threshold to a maximum usage interval of the plurality of usage intervals, wherein the second time length threshold is greater than the first time length threshold;
taking a first ratio of the first integral area to the integral area using the interval distribution curve and a second ratio of the second integral area to the integral area using the interval distribution curve as efficiency indexes of work scheduling;
screening out a part of use intervals smaller than a set time length threshold from the plurality of use intervals as effective use intervals;
establishing a second coordinate system by taking the effective use interval as a vertical coordinate and the use occurrence time of the medical equipment as a horizontal coordinate, and generating a use interval fluctuation curve in the working period;
identifying each bristle point of the curve from the use interval fluctuation curve, and determining the ratio of the duration of the time interval of all the bristle points to the total duration of the use interval distribution curve;
and taking the result of subtracting the ratio from one as the regularity index of the work scheduling.
In a fourth aspect, an electronic device is provided, comprising: the medical device comprises at least one processor and a memory communicatively connected with 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 to enable the at least one processor to perform the steps of the method for analyzing a work schedule of a medical device according to any embodiment of the invention.
In a fifth aspect, an embodiment of the present invention provides a storage medium, on which a computer program is stored, where the program is executed by a processor to implement the steps of the method for analyzing the work schedule of a medical device according to any embodiment of the present invention.
The embodiment of the invention realizes the analysis of the work scheduling of the medical equipment, avoids random errors generated by manual statistics of medical staff by automatically processing the work logs, and improves the accuracy of the work scheduling of the medical equipment statistics. Meanwhile, the first ratio and the second ratio are determined as an index for measuring the work scheduling efficiency by drawing the use interval distribution curve, then scheduling improvement can be carried out through the index, the ratio determined by drawing the use interval fluctuation curve of the medical equipment is used as a regularity index for measuring the work scheduling, and then the space for improving the efficiency of the medical equipment can be judged through the index. Even if the regularity index of the medical equipment with high efficiency is lower, the scheduling improvement space is provided, and the two indexes are analyzed simultaneously, so that the analyzed work scheduling is more accurate. The hospital can be helped to track the change of the equipment efficiency in real time and effectively compare with similar equipment of different hospitals, so that the difference of the work scheduling efficiency of different hospitals is determined, and the hospital is helped to learn more pertinently and improve the work efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart of an analysis method for a work schedule of a medical device according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a method for analyzing a work schedule of a medical device according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a method for analyzing a work schedule of a medical device according to another embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating a method for analyzing a work schedule of a medical device according to another embodiment of the present invention;
FIG. 5 is a flowchart of a method for analyzing a work schedule of a medical device according to another embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating a method for analyzing a work schedule of a medical device according to yet another embodiment of the present invention;
fig. 7 is a flowchart of an analysis method for a work schedule of a medical device according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart illustrating an analysis method for a work schedule of a medical device according to an embodiment of the present invention, including the following steps:
s11: analyzing a working log in a working cycle of the medical equipment, and determining a plurality of use intervals and use times of the medical equipment in the working cycle, wherein the use intervals refer to idle time of the medical equipment between two adjacent treatment cases;
s12: establishing a coordinate system by taking the use interval as a vertical coordinate and the use times as a horizontal coordinate, and generating a use interval distribution curve in a working period according to the sequence of the use intervals from small to large;
s13: determining a first integral area of a curve segment corresponding to a minimum scanning interval to a preset first time length threshold value, and simultaneously determining a second integral area of a curve segment corresponding to a preset second time length threshold value to a maximum using interval, wherein the second time length threshold value is larger than the first time length threshold value;
s14: and taking a first ratio of the first integral area to the integral area using the interval distribution curve and a second ratio of the second integral area to the integral area using the interval distribution curve as efficiency indexes of work scheduling.
In this embodiment, after the initial diagnosis of the patient, the medical staff determines the corresponding medical equipment to perform the auxiliary diagnosis/treatment. For example, when medical staff need to further know the disease condition (such as tuberculosis) of a patient, the patient can use the X-ray machine to perform chest fluoroscopy examination, and through the arrangement of the medical staff on each patient, the patient performs the chest fluoroscopy examination of the X-ray machine according to the sequence of the arrangement of the medical staff.
In the using process of the X-ray machine, the X-ray machine responds to the starting of medical staff, records the starting time point, and records the corresponding ending time point after the X-ray machine is used. And different devices may also record different information, such as the number of uses, etc. When the X-ray machine responds to the restart of the medical staff, the X-ray machine can record the information of the starting time point, the ending time point and the like again, and the description is omitted.
For step S11, the work log of the medical device may be periodically obtained from the log center database, wherein the period may be set to be one week, one month, or other time period, and in this embodiment, the period is one month. The working log is a recording file or a file set for recording system operation events, and can be divided into an event log and a message log. The method has important roles in processing historical data, tracing diagnosis problems, understanding system activities and the like.
The acquisition of the work log of the medical device may be performed automatically in a wireless manner, and as described above, the X-ray machine may record information such as a start time point, an end time point, and a number of uses in response to the start of the medical staff. After recording the information, the X-ray machine will be stored in the work log of the X-ray machine. And each time the working log is updated, the X-ray machine periodically uploads the updated working log to a log center database. The device for storing the method can acquire the working log of the X-ray machine from the log center database by using a wireless network, so that the device for storing the method can acquire the working log of the X-ray machine at any place.
And after the work log of the medical equipment is acquired, analyzing the acquired work log. In this case, machine learning can be performed for the device storing the method, and how to efficiently recognize and extract information such as the start time and the end time. Besides using machine learning, methods such as regular expressions, neural networks and the like can be used for identification and extraction.
In the present embodiment, the filtering is performed by using a keyword. Useless information is screened out, and only required information is reserved. The screening algorithm can inquire and judge whether the time is the time for starting and ending the use of the equipment according to each row of round streams of the working log, and extract the working log time stamps of the starting time and the ending time for analysis.
For example, the filtered work logs are as follows:
[2018-01-17 11:56:50]<<<<Device-X optical machine-start running code＝1
[2018-01-17 12:11:50]<<<<Device-X optical machine-end running code＝1
[2018-01-17 12:16:50]<<<<Device-X optical machine-start running code＝2
[2018-01-17 12:31:50]<<<<Device-X optical machine-end running code＝2
[2018-01-17 12:40:50]<<<<Device-X optical machine-start running code＝3
[2018-01-17 12:55:50]<<<<Device-X optical machine-end running code＝3
[2018-01-17 13:15:50]<<<<Device-X optical machine-start running code＝4
[2018-01-17 13:30:50]<<<<Device-X optical machine-end running code＝4
by analyzing the working log, the starting time point, the ending time point and the use times of the medical equipment for examining or treating the patient can be obtained. Wherein, the usage interval refers to the idle time between two adjacent cases, and the usage interval can be determined by subtracting the end time of the previous case examination or treatment from the start time of the current case examination or treatment. For example, for a record [ 2018-01-1712: 16:50] < < Device-X optical machine-starting running code ═ 2 in the work log, wherein 2018-01-1712: 16:50 represents the Device usage time, Device-X optical machine-starting running represents the X-ray machine start running, and code ═ 2 represents the number of cases examined or treated ═ 2. For the next record [ 2018-01-1712:11:50 ] < < Device-X optical machine-end running code ═ 1, where 2018-01-1712:11:50 represents the treatment end time, Device-X optical machine-end running represents the X-ray machine end run, and code ═ 1 represents the number of treatment cases ═ 1. The 5 minute interval was determined based on the difference between the length of the rest period 12:16:50 and the time 12:11:50 between the two treatment cases. The use intervals in the working log are determined through the method, and the times of treatment cases are extracted from the working log.
For step S12, with the usage interval as the ordinate and the number of treatment cases as the abscissa, a coordinate system is first established, wherein the coordinate system is established only for the first interval. And generating a usage interval profile over a plurality of usage intervals in the duty cycle. As shown in fig. 2, the usage intervals of the medical devices are mapped in the coordinate system in a manner that the idle duration of the usage intervals is increased from small to large, so as to draw a usage interval distribution curve.
For step S13, a first integrated area of the curve segment corresponding to the minimum scanning interval to a preset first duration threshold in each scanning interval is determined, for example, if the first duration threshold is set to a 5-minute duration, the first integrated area of the curve segment in fig. 3 is determined. Determining a second integrated area of a curve corresponding to a preset second time duration threshold to a maximum usage interval of the plurality of usage intervals, for example, the second time duration threshold is set to a 30 minute time duration, for example, a maximum usage interval of the plurality of usage intervals is set to a 57 minute time duration, then determining a second integrated area of the curve segment of fig. 3. When the duration threshold value takes a value, the second duration threshold value is larger than the first duration threshold value.
In fig. 3, T5 represents the first duration threshold, T30 represents the second duration threshold, S5 represents the total time occupied by the usage intervals of less than 5 minutes in the same month (the period is set to one month), S30 represents the total time occupied by the usage intervals of more than 30 minutes in the same month, and the geometric meanings are all areas enclosed by different time periods and the horizontal axis. Mathematically, defining the usage interval of the nth device usage in the month as t (n), then:
for step S14, a first ratio and a second ratio are determined by dividing the determined first integrated area and the determined second integrated area by the total integrated area of the usage interval distribution curve, respectively.
By the ratio, a first ratio R5 for use at intervals of less than 5 minutes in the month (the period is set to one month), and a second ratio R30 for use at intervals of more than 30 minutes in the month can be obtained:
wherein S0 is the total integrated area of the use interval distribution curve, and the R5 and R30 are taken as the efficiency index of the work scheduling.
The implementation method can be seen that the implementation method provides an analysis method for the work scheduling of the medical equipment, and the random error generated by manual statistics of medical staff is avoided and the accuracy of the medical equipment work scheduling statistics is improved by automatically processing the work log. Meanwhile, a first ratio and a second ratio are determined by drawing a use interval distribution curve, and an efficiency index of work scheduling is determined, so that scheduling improvement can be performed through the index.
As an implementation manner, in this embodiment, the efficiency indicator of the work schedule is determined according to the first ratio and the second ratio, where the first ratio is positively correlated with the efficiency indicator of the work schedule.
In this embodiment, the efficiency index of the work schedule is determined according to the first ratio and the second ratio, and when the efficiency index of the work schedule is determined, the first ratio is positively correlated with the efficiency index of the work schedule. The larger the proportion of the first ratio is, the larger the work scheduling efficiency index is.
Meanwhile, the step defines a calculation method of the flatness value using the interval distribution curve. For example, it can be based on a formula
And determining the work scheduling efficiency index by substituting the first ratio and the second ratio into the formula.
According to the implementation method, the relation between the first ratio and the second ratio is comprehensively considered by using the interval distribution curve determined by the method, and the work scheduling efficiency index is determined by a proper proportion, so that the index is more accurate.
As an embodiment, in this embodiment, when the efficiency index is higher, the efficiency of the work schedule of the medical device is higher; and/or
The efficiency of the work schedule of the medical device is lower when the efficiency indicator is lower.
In this embodiment, the method may be used to compare the work scheduling efficiencies of different medical devices. For example, by the method for determining the work scheduling efficiency in fig. 1, it is determined that the work scheduling efficiency of the device b is 81% and the work scheduling efficiency of the device a is 57%. As shown in fig. 4, the efficiency of the operation schedule of the medical device is higher as the operation schedule efficiency index is higher, that is, the usage interval distribution curve is flatter, and the efficiency of the operation schedule of the medical device is lower as the operation schedule efficiency index is lower, that is, the usage interval distribution curve is steeper.
According to the implementation method, the working indexes of the use interval distribution curves of different medical equipment are compared, so that the difference of the work scheduling efficiency of different equipment can be determined, and hospitals with lower scheduling efficiency can learn to hospitals with higher scheduling efficiency according to the difference, so that the work scheduling efficiency is improved.
As an implementation manner, in this embodiment, when the medical device is a scanning device, the first duration threshold is 4-8 minutes, and the second duration threshold is 25-40 minutes.
In the present embodiment, the types of medical devices are different, and the related patients are different, for example, test-type medical devices, which are related to a large number of patients with high fever and cold in spring and autumn, and medical staff usually refers to the number of leucocytes in the blood of the patients during diagnosis, and needs to perform auxiliary diagnosis through the test-type medical devices, so that the test-type medical devices are operated at all times due to the excessive number of patients;
as with surgical devices, these devices are often used in small numbers of patients with severe conditions, are not very common, are used infrequently several times a day, but are used for extended periods of time each time.
When the medical equipment is scanning equipment, the number of patients related to the equipment is moderate, physical examination and diagnosis can be performed, and the work scheduling efficiency is representative, so that the value range of the first time length threshold is 4-8 minutes, and the value range of the second time length is 25-40 minutes.
According to the implementation method, when the medical equipment is scanning equipment, the determined work scheduling index is representative.
Fig. 5 is a flowchart illustrating an analysis method for a work schedule of a medical device according to another embodiment of the present invention, including the following steps:
s21: analyzing a working log in a working cycle of the medical equipment, and acquiring a plurality of use intervals of the medical equipment in the working cycle and the use occurrence time of the medical equipment, wherein the use intervals refer to idle time of the medical equipment between two adjacent treatment cases;
s22: screening out a part of use intervals smaller than a set time length threshold from the plurality of use intervals as effective use intervals;
s23: establishing a coordinate system by taking the effective use interval as a vertical coordinate and the use occurrence time of the medical equipment as a horizontal coordinate, and generating a use interval fluctuation curve in the working period;
s24: identifying each bristle point of the curve from the use interval fluctuation curve, and determining the ratio of the duration of the time interval of all the bristle points to the total duration of the use interval distribution curve;
s25: and using the result of subtracting the ratio from 1 as the regularity index of the work scheduling.
In the present embodiment, the stability of the interval distribution is also an index of the analysis job scheduling. If the use interval distribution rule of the work schedule of the medical staff indicates that the connectivity of the medical equipment for inspecting or treating different patients is good, and if the use interval fluctuation is large, the medical staff indicates that the schedule on the appointment inspection is too loose and has an improved space.
For step S21, a work log of the medical device is obtained in a period, wherein the period may be set to one week, one month, or other time period, and in the present embodiment, the period is one month. For example, the following work logs (log acquisition and screening are not described here again):
[2018-01-15 13:40:00]<<<<Device-CT machine-start running code＝7
[2018-01-15 14:00:00]<<<<Device-CT machine-end running code＝7
[2018-01-15 14:05:00]<<<<Device-CT machine-start running code＝8
[2018-01-15 14:20:00]<<<<Device-CT machine-end running code＝8
by analyzing the work log, the use start time point, the use end time point and the use duration of the medical equipment can be obtained, wherein the use start time point of the medical equipment is the use occurrence time of the medical equipment. For example, [ 2018-01-1514: 05:00] < < < Device-CT machine-starting running code ═ 8, where 2018-01-1514: 05:00 represents the time when the Device starts to be used, and Device-CT machine-starting running represents the CT machine start running. [ 2018-01-1514: 00:00] < < < Device-CT machine-end running code ═ 7, wherein 2018-01-1514: 00:00 represents the end of use time of the equipment, and Device-CT machine-end running represents the end of running of the CT machine.
The use interval was determined to be 5 minutes based on the difference between the length of the idle period 14:05:00 and the time 14:00:00 between the two examination or treatment cases. The method determines each use interval in the working log, and extracts the time of the equipment use from the working log.
For step S22, a part of the usage intervals smaller than the set time threshold is selected from the multiple usage intervals determined in step S21 and is used as the effective usage interval. For example, 130 usage intervals are determined in step S21, and among the 130 usage intervals, 100 are partial usage intervals smaller than the set time length threshold. Then the usage interval of 100 less than the set duration threshold is taken as the valid usage interval.
With the effective use interval as the ordinate and the occurrence time as the abscissa for step S23, the coordinate system is first established, wherein the coordinate system is established only for the first interval. And generating a usage interval fluctuation curve through a plurality of effective usage intervals in the working period. As shown in fig. 6, the usage intervals of the medical device are mapped in the coordinate system in the chronological order of the occurrence of the treatment, thereby drawing a fluctuation curve of the usage intervals of the device.
For step S24, the bur points of the curve are identified from the usage interval fluctuation curve, and the ratio of the duration of the time interval of all the bur points to the total duration of the usage interval distribution curve is determined by the following formula:
through the formula, the ratio of the time length of the time intervals of all the bristle points to the total time length of the use interval distribution curve can be calculated.
For step S25, the result of subtracting the above ratio from 1 is used, and the obtained difference is used as the regularity index of the work schedule. As shown in the formula: rhealth＝1-Rab。
And removing the part occupied by the burr falling points, and taking the ratio of the rest part as the regularity index of the work scheduling. The higher the index is, the more regular the work scheduling is, and the smaller the lifting space is. The lower the index is, the more chaotic the work scheduling is, and the larger the lifting space is.
The implementation method can be seen that the implementation method provides an analysis method for the work scheduling of the medical equipment, and the random error generated by manual statistics of medical staff is avoided and the accuracy of the medical equipment work scheduling statistics is improved by automatically processing the work log. Meanwhile, the ratio determined by drawing the use interval fluctuation curve is used as a regularity index for measuring work scheduling, and then the space for improving the efficiency of medical equipment can be judged through the index.
As an embodiment, in the present embodiment, identifying each bur point of the curve from the use interval fluctuation curve includes:
determining an average usage interval for each effective usage interval;
and identifying the use interval fluctuation curve end points of the average use interval larger than a set multiple threshold value as the bur points of the curve, wherein the set multiple threshold value is 1.5-2.0 times.
In the present embodiment, the average usage interval of each effective usage interval is determined by the following equation:
for example, the usage intervals represented at the end points of the usage interval fluctuation curve are: 13 minutes, 5 minutes, 27 minutes, 8 minutes, 17 minutes. The average usage interval of the effective usage intervals was determined to be 14 minutes by calculation of the above formula.
The endpoints of the average usage interval that are greater than the set multiplier threshold are identified as the bur points of the curve. For example, if the multiple threshold is set to 1.5 times, T isBurr-value＝1.5TaverageThen the end point of the average usage interval for setting the multiple threshold is 14 x 1.5 to 21 pointsA clock. Endpoints greater than 21 minutes were taken as the bur points of the curve. The range of the set threshold multiple is 1.2-1.8 times, and different multiples are used according to different situations.
According to the implementation method, the multiple of the average value of the use intervals is used as the threshold, and the size of the multiple can be dynamically adjusted according to the use conditions of different medical equipment aiming at different types of medical equipment, so that different burrs are screened out, and the regularity index of work scheduling is influenced.
As an implementation manner, in this embodiment, when the medical device is a scanning device, the set time threshold is 30 minutes.
In the present embodiment, the interval between uses of the medical equipment has to be longer than a certain time, typically 30 minutes, due to rigidity reasons such as hospital shifts and equipment failures. The use interval within 30 minutes is often greatly related to the reservation system and patient arrangement of the hospital, so that the factors of the non-hospital reservation system and patient arrangement are excluded. Select out meaningful intervals of use.
According to the implementation method, other rigid factors such as reservation systems of non-hospitals and phoneme for patient placement and the like are eliminated, and the residual effective use interval has reference value, so that the accuracy of regularity indexes of work scheduling is improved.
Fig. 7 is a flowchart illustrating an analysis method for a work schedule of a medical device according to another embodiment of the present invention, which includes the following steps:
s31: analyzing a working log in a working cycle of the medical equipment, and determining a plurality of use intervals, use times and use occurrence time of the medical equipment in the working cycle, wherein the use intervals refer to idle time of the medical equipment between two adjacent treatment cases;
s22: establishing a first coordinate system by taking the use interval as a vertical coordinate and the use times as a horizontal coordinate, and generating a use interval distribution curve in the working period according to the sequence of the use intervals from small to large;
s33: determining a first integral area of a curve segment corresponding to a minimum usage interval to a preset first time threshold, and determining a second integral area of a curve segment corresponding to a preset second time threshold to a maximum usage interval of the plurality of usage intervals, wherein the second time threshold is greater than the first time threshold;
s34: taking a first ratio of the first integral area to the integral area using the interval distribution curve and a second ratio of the second integral area to the integral area using the interval distribution curve as efficiency indexes of the work scheduling;
s35: screening out a part of use intervals smaller than a set time length threshold from the plurality of use intervals as effective use intervals;
s36: establishing a second coordinate system by taking the effective use interval as a vertical coordinate and the use occurrence time of the medical equipment as a horizontal coordinate, and generating a use interval fluctuation curve in the working period;
s37: identifying each bristle point of the curve from the use interval fluctuation curve, and determining the ratio of the duration of the time interval of all the bristle points to the total duration of the use interval distribution curve;
s38: and subtracting the result of the ratio from 1 to obtain a difference value serving as a regularity index of the work scheduling.
In this embodiment, the method for analyzing the work schedule of the medical device of fig. 1 and the method for analyzing the work schedule of the medical device of fig. 5 are combined, and specific embodiments are already described above, and are not described again here.
And comparing different devices according to the determined efficiency index of the work scheduling and the regularity index of the work scheduling.
For example, different medical devices of the same hospital, the same medical devices of different hospitals may be aligned laterally.
Taking the same medical equipment in different hospitals as an example, for example, the work scheduling efficiency index of the X-ray machine in hospital a is 85%, and the rule index of the work scheduling is 90%. The work scheduling efficiency index of the X-ray machine in the hospital B is 62%, and the rule index of the work scheduling is 54%. According to the regular indexes of the work scheduling, the X-ray machine in the hospital B can know that the work scheduling has a promotion space, and can learn the work scheduling mode of the X-ray machine in the hospital A. For example, medical staff in hospital B can learn about hospital a with a high work scheduling efficiency index, and by knowing the problems of propaganda means, treatment cost, physician technique, etc. in two hospitals, hospital B can make planning adjustments in the aspects lacking in these several aspects, thereby more specifically improving the work scheduling of medical equipment.
The implementation method can be seen that the implementation method provides an analysis method for the work scheduling of the medical equipment, and the random error generated by manual statistics of medical staff is avoided and the accuracy of the medical equipment work scheduling statistics is improved by automatically processing the work log. Meanwhile, the first ratio and the second ratio are determined as an index for measuring the work scheduling efficiency by drawing the use interval distribution curve, then scheduling improvement can be carried out through the index, the ratio determined by drawing the use interval fluctuation curve is used as a regularity index for measuring the work scheduling, and then the space for improving the efficiency of medical equipment can be judged through the index. Even if the medical equipment with high efficiency and the regularity index is lower, the scheduling improvement space is provided, and the two indexes are analyzed simultaneously, so that the analyzed work scheduling is more accurate, and the medical staff is helped to analyze and improve the work scheduling of the medical equipment.
The embodiment of the invention also provides a nonvolatile computer storage medium, wherein the computer storage medium stores computer executable instructions which can execute the analysis method of the work scheduling of the medical equipment in any method embodiment;
as one embodiment, a non-volatile computer storage medium of the present invention stores computer-executable instructions configured to:
analyzing a working log in a working cycle of the medical equipment, and determining a plurality of use intervals and use times of the medical equipment in the working cycle, wherein the use intervals refer to idle time of the medical equipment between two adjacent treatment cases;
establishing a coordinate system by taking the use interval as a vertical coordinate and the use times as a horizontal coordinate, and generating a use interval distribution curve in the working period according to the sequence of the use intervals from small to large;
determining a first integral area of a curve segment corresponding to a minimum scanning interval to a preset first time length threshold value, and simultaneously determining a second integral area of a curve segment corresponding to a preset second time length threshold value to a maximum using interval, wherein the second time length threshold value is larger than the first time length threshold value;
and taking a first ratio of the first integral area to the integral area of the using interval distribution curve and a second ratio of the second integral area to the integral area of the using interval distribution curve as the efficiency index of the work scheduling.
As one embodiment, a non-volatile computer storage medium of the present invention stores computer-executable instructions configured to:
analyzing a working log in a working cycle of the medical equipment, and acquiring a plurality of use intervals of the medical equipment in the working cycle and the use occurrence time of the medical equipment, wherein the use intervals refer to idle time of the medical equipment between two adjacent treatment cases;
screening out a part of use intervals smaller than a set time length threshold from the plurality of use intervals as effective use intervals;
establishing a coordinate system by taking the effective use interval as a vertical coordinate and the use occurrence time of the medical equipment as a horizontal coordinate, and generating a use interval fluctuation curve in the working period;
identifying each bristle point of the curve from the use interval fluctuation curve, and determining the ratio of the duration of the time interval of all the bristle points to the total duration of the use interval distribution curve;
and using the result of subtracting the ratio from 1 as the regularity index of the work scheduling.
As one embodiment, a non-volatile computer storage medium of the present invention stores computer-executable instructions configured to:
analyzing a working log in a working cycle of the medical equipment, and determining a plurality of use intervals, use times and use occurrence time of the medical equipment in the working cycle, wherein the use intervals refer to idle time of the medical equipment between two adjacent treatment cases;
establishing a first coordinate system by taking the use interval as a vertical coordinate and the use times as a horizontal coordinate, and generating a use interval distribution curve in the working period according to the sequence of the use intervals from small to large;
determining a first integrated area of a curve segment corresponding to a minimum usage interval to a preset first time threshold, determining a second integrated area of a curve segment corresponding to a preset second time threshold to a maximum usage interval of the plurality of usage intervals, wherein the second time threshold is greater than the first time threshold;
taking a first ratio of the first integral area to an integral area of the usage interval distribution curve and a second ratio of the second integral area to an integral area of the usage interval distribution curve as an efficiency index of the work schedule;
screening out a part of use intervals smaller than a set time length threshold from the plurality of use intervals as effective use intervals;
establishing a second coordinate system by taking the effective use interval as a vertical coordinate and the use occurrence time of the medical equipment as a horizontal coordinate, and generating a use interval fluctuation curve in the working period;
identifying each bristle point of the curve from the use interval fluctuation curve, and determining the ratio of the duration of the time interval of all the bristle points to the total duration of the use interval distribution curve;
and using the result of subtracting the ratio from 1 as the regularity index of the work scheduling.
As a non-volatile computer readable storage medium, may be used to store non-volatile software programs, non-volatile computer executable programs, and modules, such as program instructions/modules corresponding to the methods of testing software in embodiments of the present invention. One or more program instructions are stored in a non-transitory computer readable storage medium, which when executed by a processor, perform a method of analyzing a work schedule of a medical device in any of the method embodiments described above.
The non-volatile computer-readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of a device of test software, and the like. Further, the non-volatile computer-readable storage medium 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 device. In some embodiments, the non-transitory computer readable storage medium optionally includes memory located remotely from the processor, which may be connected to the means for testing software over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
An embodiment of the present invention further provides an electronic device, which includes: the medical device comprises at least one processor and a memory communicatively connected with 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 to enable the at least one processor to execute the steps of the analysis method for work schedule of the medical device according to any embodiment of the invention.
The client of the embodiment of the present application exists in various forms, including but not limited to:
(1) mobile communication devices, which are characterized by mobile communication capabilities and are primarily targeted at providing voice and data communications. Such terminals include smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) The ultra-mobile personal computer equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include PDA, MID, and UMPC devices, such as ipads.
(3) The large-scale image class equipment of hospital, this kind of equipment includes: x-ray machines, ultrasound, CT machines, magnetic resonance scanners, etc.
(4) Other electronic devices with computing capabilities.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method of analyzing a work schedule of a medical device, comprising:
establishing a coordinate system by taking the use interval of the medical equipment in a working cycle as a vertical coordinate and the use times as a horizontal coordinate, and generating a use interval distribution curve in the working cycle according to the sequence of the use interval from small to large, wherein the use interval refers to the idle time of the medical equipment between two adjacent treatment cases;
determining a first integral area of a curve segment corresponding to a minimum scanning interval to a preset first time length threshold value, and simultaneously determining a second integral area of a curve segment corresponding to a preset second time length threshold value to a maximum using interval, wherein the second time length threshold value is larger than the first time length threshold value;
determining a first ratio of the first integrated area to an integrated area of the usage interval distribution curve and a second ratio of the second integrated area to an integrated area of the usage interval distribution curve;
determining an efficiency index of a work schedule of the medical device according to the first ratio and the second ratio.
2. The method of claim 1, wherein determining an efficiency indicator of a work schedule of the medical device from the first ratio and the second ratio is implemented to include
And taking the first ratio and the second ratio as an efficiency index of work scheduling of the medical equipment.
3. The method of claim 1, wherein determining an efficiency indicator of a work schedule of the medical device from the first ratio and the second ratio is implemented to include
Determining an efficiency indicator of a work schedule of the medical device as being positively correlated with the first ratio.
4. The method of claim 3, wherein determining the efficiency indicator of the work schedule of the medical device from the first ratio and the second ratio is achieved by calculating by the following equation:
5. The method of claim 1, wherein the efficiency of the work schedule of the medical device is higher when the efficiency indicator is higher; and/or
The efficiency of the work schedule of the medical device is lower when the efficiency indicator is lower.
6. The method of any of claims 1-5, wherein when the medical device is a scanning device, the first duration threshold is 4-8 minutes and the second duration threshold is 25-40 minutes.
7. The method of any of claims 1-5, wherein the method further comprises:
the method comprises the steps of analyzing a work log in a work cycle of the medical device, and determining a plurality of use intervals and use times of the medical device in the work cycle.
8. A method of analyzing a work schedule of a medical device, comprising:
analyzing a working log in a working cycle of the medical equipment, and determining a plurality of use intervals, use times and use occurrence time of the medical equipment in the working cycle, wherein the use intervals refer to idle time of the medical equipment between two adjacent treatment cases;
establishing a first coordinate system by taking the use interval as a vertical coordinate and the use times as a horizontal coordinate, and generating a use interval distribution curve in the working period according to the sequence of the use intervals from small to large;
determining a first integrated area of a curve segment corresponding to a minimum usage interval to a preset first time threshold, determining a second integrated area of a curve segment corresponding to a preset second time threshold to a maximum usage interval of the plurality of usage intervals, wherein the second time threshold is greater than the first time threshold;
taking a first ratio of the first integral area to an integral area of the usage interval distribution curve and a second ratio of the second integral area to an integral area of the usage interval distribution curve as an efficiency index of the work schedule;
screening out a part of use intervals smaller than a set time length threshold from the plurality of use intervals as effective use intervals;
establishing a second coordinate system by taking the effective use interval as a vertical coordinate and the use occurrence time of the medical equipment as a horizontal coordinate, and generating a use interval fluctuation curve in the working period;
identifying each bristle point of the curve from the use interval fluctuation curve, and determining the ratio of the duration of the time interval of all the bristle points to the total duration of the use interval distribution curve;
and taking a result of subtracting the ratio from one as the regularity index of the work scheduling.
9. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the method of any of claims 1-8.
10. A storage medium on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
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| CN114615305B (en) * | 2022-04-22 | 2024-04-12 | 深圳市萨米医疗中心 | Time interval monitoring system for rescue instrument used in hospital |
| CN115064253B (en) * | 2022-08-16 | 2022-11-18 | 南京天溯自动化控制系统有限公司 | Medical equipment scheduling method, device, equipment and storage medium |
| CN115862834B (en) * | 2023-02-28 | 2023-05-09 | 苏州阿基米德网络科技有限公司 | Medical equipment operator energy consumption evaluation method and system and electronic equipment |
| CN116597970B (en) * | 2023-07-17 | 2023-10-10 | 济南蓝博电子技术有限公司 | Medical equipment distribution method and computing device thereof |
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