CN111161868A - Medical quick inspection management system - Google Patents
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Abstract
The invention relates to the technical field of hospital information data management, in particular to a medical rapid inspection management system, which comprises a first medical inspection device, a second medical inspection device, a management system and a user terminal, wherein the management system comprises a data sampling module and a processing module, wherein: the first medical examination equipment is used for collecting and processing an examination sample to generate a first examination result; the second medical examination equipment is used for collecting and processing the examination sample to generate a second examination result; the data sampling module is used for acquiring environmental parameters, receiving a plurality of first test results and a plurality of second test results, and generating a first sampling set and a second sampling set; and the processing module is used for processing the first sampling set and the second sampling set by the environment parameters to generate a first characteristic curve and a second characteristic curve. The problem that clinical medical staff cannot detect the abnormality of equipment after the abnormality of the equipment is solved.
Description
Technical Field
The invention relates to the technical field of hospital informatization data management, in particular to a medical rapid inspection management system.
Background
With the rapid development of science and technology, biology continuously breaks through modern medicine, and various indexes in the body can be quickly and accurately detected through more scientific medical examination means.
For example, chinese patent publication No. CN107271702A discloses a miniaturized medical detector and a miniaturized medical detection, where the medical detector includes a sample adding mechanism, an optical detection mechanism, a reaction chamber, a driving mechanism, an electrode tip, an image acquisition module, and a detection result processing module; the reaction bin is used for placing a reagent tray; the driving mechanism is used for driving the reagent disk in the reaction bin to rotate; the optical detection mechanism is used for projecting light rays to a dry reagent sheet on the reagent disc along with the rotation of the reagent disc, receiving the light rays reflected by the dry reagent sheet and obtaining a reflection response voltage value of biochemical detection; the electrode head is used for sequentially contacting the electrodes on the reagent disc through the electrode contacts and reading biochemical detection and/or blood conventional voltage detection values of the sample; the image acquisition module acquires image data of a reagent groove or an interpretation window on the reagent tray; and the detection result processing module is used for calculating and analyzing to obtain detection results of biochemistry, blood routine, blood coagulation, blood type and immunity detection.
Although the medical detector is convenient to carry, the detection beside a sickbed in a clinical department can be realized. However, currently, the instrument technician and the clinical department are in a state of being basically disconnected, the clinical medical staff and the instrument technician lack necessary communication, the nursing staff lack understanding about the working principle and the detection data of some instruments, and the fault of the inspection instrument cannot be judged from some detection results. Therefore, the problem that the clinical medical staff cannot detect the abnormality of the equipment easily occurs after the abnormality of the equipment occurs.
Disclosure of Invention
The invention aims to provide a medical quick inspection management system to solve the problem that clinical medical staff cannot detect equipment abnormality after the equipment is abnormal.
The basic scheme provided by the invention is as follows: medical quick check management system, including first medical treatment inspection equipment, second medical treatment inspection equipment, management system and user terminal, management system includes data sampling module and processing module, wherein:
the first medical examination equipment is used for collecting and processing an examination sample to generate a first examination result;
the second medical examination equipment is used for collecting and processing the examination sample to generate a second examination result;
the data sampling module is used for acquiring environmental parameters, receiving a plurality of first test results and a plurality of second test results, and generating a first sampling set and a second sampling set;
the processing module is used for processing the first sampling set and the second sampling set according to the environmental parameters to generate a first characteristic curve and a second characteristic curve; extracting a first characteristic value and a second characteristic value, and judging whether the variance exceeds a preset threshold value; if the variance exceeds a preset threshold value, generating an alarm signal;
and the user terminal is used for acquiring the alarm signal.
The working principle and the advantages of the invention are as follows:
compared with the prior art, for example, the document with chinese patent publication No. CN105069308A discloses an intelligent monitoring system for medical equipment, which refers to real-time monitoring of medical equipment and establishment of a medical equipment maintenance early warning system, and warns users of the operating conditions of medical equipment in advance, thereby preventing the possibility of equipment damage and reducing the damage rate of equipment. Compared with the method for preventing the damage of the medical equipment by adopting a real-time monitoring method, the method for preventing the damage of the medical equipment has the advantages that the characteristic curve of the inspection data of the inspection equipment in a certain period is counted through the management system, errors caused by certain objective reasons are eliminated by combining environmental parameters, and the characteristic value in the characteristic curve can be guaranteed to be comparable.
Meanwhile, after the management system is used for judging that the variance exceeds the preset threshold value, instrument technicians can acquire alarm signals through the user terminal, process the inspection equipment with the characteristic value deviation in time, evaluate the quality state of the equipment and further ensure that the detection result has reliability. The management system can help instrument technicians to preliminarily screen suspected faulty inspection equipment, so that the workload of the technicians is reduced, and the condition that the technicians consume a large amount of labor and time due to the fact that the technicians need real-time monitoring equipment can be avoided.
The advantage of this solution is also that for some special test devices, the occurring faults are not usually easily detectable by clinical staff. For example, the sensitivity of the electromagnetic valve inside the blood globe is reduced, which causes the deviation of the ratio of the diluent amount ejected by the diluter, and further causes the detection result to be not true or accurate enough. In addition, under the condition, because the circuit of the detection equipment runs normally, no fault alarm is generated, and the clinical medical staff cannot doubt whether the detection result is real or not. Based on the condition, the management system analyzes the characteristic curves of different inspection devices, the variance can represent the degree of deviation of the sampling set from the mean value, and if the deviation degree exceeds a preset threshold value, instrument technicians can timely find the inspection devices with unqualified performance and irregular inspection results.
Further, the environmental parameter includes a time parameter.
Has the advantages that: most of the young people need to go to work on a week to a friday, and only go to a hospital for examination when taking time on weekends; the elderly are mostly examined at ordinary times. In this case, it is ensured that the environmental parameters in the obtained characteristic curve are consistent, and the detected data can be made comparable.
Further, the abscissa of the first characteristic curve and the second characteristic curve means the number of red blood cells, and the ordinate means the number of detected persons.
Has the advantages that: taking a blood routine detector as an example, the characteristic curve obtained by statistics can be regarded as a curve conforming to normal distribution, the abscissa of the curve means the number of red blood cells, and the ordinate represents the number of detected people. The curve can visually display that the number of people in the normal value interval of the number of the red blood cells is more, and the curve is positioned at the peak position in the center of the normal curve, namely the position of the average number; the number of people detected by the instrument to be lower or higher than the normal number of red blood cells is represented by the uniform descending from the average number point to the left and right sides. It is known that a normal distribution curve is also a probability distribution and has a concentration, and under a normal condition, i.e. the performance of the medical examination equipment is good, the statistical normal distribution curve should be consistent. Similarly, if there is a deviation in the mean of the curves, there is reason to suspect that the device is malfunctioning. Finally, the instrument technician checks the faults in the inspection equipment in time according to the alarm signal. In conclusion, the characteristic curve can help instrument technicians to find detection equipment with unqualified performance and irregular detection results in time.
And further, the processing module is used for dividing a training set according to the preset threshold value processed by the neural network, and training the training set to obtain the mathematical model conforming to the input sample.
Has the advantages that: in the scheme, as the condition for generating the alarm signal is that the variance exceeds a preset threshold, the instrument technician checks the fault of the inspection equipment according to the prompt. The preset threshold value typically needs to be gradually reduced through multiple trials to achieve higher accuracy. Therefore, based on the situation, the preset threshold value can be further optimized by correcting and adjusting the preset threshold value through the neural network, and the more accurate preset threshold value is generated.
Further, the environmental parameters also include weather parameters.
Has the advantages that: the management system can be provided for inspection instruments in different regions to use, and the weather also varies due to different regions. For example, the detecting instruments are respectively positioned in the desert city of Heilongjiang province and Guangzhou city of Guangdong province, so that the probability of the residents in the desert city to catch cold is higher, and the number of the white blood cells collected by the blood conventional detector in the desert city is generally higher. This deviation is not due to the performance of the instrument, but is affected by weather parameters. According to the defects, weather parameters are introduced to carry out environment limitation on the sample, and sample data can be guaranteed to have comparability.
Further, the management system also comprises a database, wherein the database is used for storing maintenance suggestions; the processing module is also used for generating matched fault information according to the neural network processing variance and calling corresponding maintenance suggestions from the database.
Has the advantages that: the statistically derived variances differ due to a certain malfunction of the inspection instrument. Based on the condition, the method firstly marks off a training set of the variance, then introduces the neural network to carry out iterative training on the training set to obtain a model which accords with sample data, and is convenient for the management system to automatically judge fault information and send maintenance suggestions when the management system reprocesses the test equipment containing the variance. By adopting the mode, the artificial intelligence neural network can replace an instrument technician to judge the fault information, so that the workload of the instrument technician is reduced, and the management system has higher practicability.
Further: the management system also comprises a family user subsystem, wherein the family user subsystem comprises an information input module and a result generation module, and the management system further comprises a family user subsystem, wherein:
the information input module is used for displaying a cooperation hospital near the home user; the system is also used for the family user to select the hospital and input the test result;
and the result generating module is used for sending the detection result to a doctor computer terminal of the hospital selected by the home user, and the doctor analyzes the state of an illness and gives a suggestion according to the detection result.
Has the advantages that: by adopting the home user subsystem, the user requirements of part of households equipped with detection equipment can be met. For example, a conventional reagent card for urine used at home is used, after the user finishes the detection, the detection result is input into a home user subsystem, and then a doctor carries out professional diagnosis on the detection result.
Further: the family user subsystem also comprises an online registration module and a navigation module; wherein:
the online registration module is used for extracting keywords in the doctor suggestion after receiving the doctor suggestion, and sending a registration and diagnosis prompt to the family user if the suggestion contains admission;
and the navigation module is used for providing navigation information for the family user to go to the nearby cooperative hospital after the family user receives and confirms the registration and diagnosis prompt.
Has the advantages that: the system can provide convenience for some users who need to go to a hospital for a doctor; firstly, a user can complete online registration through a family user subsystem, so that a large amount of precious time spent in hospital queuing and registration is saved; secondly, the navigation information provided to the hospital enables the user to master the road condition information and the time spent on the way, and further helps the user to go to waiting for a diagnosis at the specified time.
Further: the abscissa of the first characteristic curve and the second characteristic curve means the heart rate, and the ordinate means the number of detected people.
Has the advantages that: the heart rate is represented by adopting an abscissa, and the characteristic curve of the number of detected people is represented by adopting an ordinate, the characteristic curve accords with normal distribution, and the average number is 75 times/minute. Can be used for evaluating and analyzing the performance state of the sphygmomanometer.
Further: the abscissa of the first characteristic curve and the second characteristic curve means the alkalinity of uric acid, and the ordinate means the number of detected people.
Has the advantages that: under normal diet conditions, urine is weakly acidic, and pH is about 6.5. Therefore, the 6.5 interval on the abscissa is the peak position of the normal distribution curve, i.e., the number of people in the interval is the most. Starting from the peak position as a starting point, starting from the left side and the right side, and sequentially decreasing, which indicates that part of the detected people still have the uric acid alkalinity lower than or higher than 6.5, and accords with probability distribution. According to this condition, if the average deviation of the generated characteristic curve is significant, it can be determined that the urine detector has a fault, and the instrument technician is required to overhaul the urine detector in time.
Drawings
Fig. 1 is a block diagram of a medical rapid verification management system according to a first embodiment of the present invention.
Fig. 2 is a block diagram of a second embodiment of the medical rapid verification management system of the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example one
As shown in fig. 1, a medical rapid inspection management system includes a first medical inspection device, a second medical inspection device, a management system and a user terminal, the management system includes a data sampling module and a processing module, wherein:
the first medical examination equipment is used for collecting and processing an examination sample to generate a first examination result;
the second medical examination equipment is used for collecting and processing the examination sample to generate a second examination result;
the data sampling module is used for acquiring environmental parameters, receiving a plurality of first test results and a plurality of second test results, and generating a first sampling set and a second sampling set;
the processing module is used for processing the first sampling set and the second sampling set according to the environmental parameters to generate a first characteristic curve and a second characteristic curve; extracting a first characteristic value and a second characteristic value, and judging whether the variance exceeds a preset threshold value; if the variance exceeds a preset threshold value, generating an alarm signal;
and the user terminal is used for acquiring the alarm signal.
In this embodiment, the first medical examination device and the second medical examination device both adopt a micheli BC-5300 full-automatic blood cell analyzer; the two detection devices are placed in two different hospitals in the Yubei district of Chongqing city to detect blood cell data, blood routine data of 76 detected persons in Monday to Friday are collected, the number of red blood cells in the blood routine data is taken as a research target, and a characteristic curve conforming to normal distribution is counted. The output end of the first medical examination device and the output end of the second medical examination device are respectively connected with the input end of the management system, the management system generates a characteristic curve principle and uses EXCEL2016 to draw a normal distribution curve, which is explained in the embodiment, firstly, the 76 groups of red blood cells are sequentially input into the cells with the column number of a, and other cells calculate some parameters required for drawing the normal distribution curve, which are respectively: standard deviation and median (mean); the standard deviation can be calculated using the function stdev.s of the standard deviation of the sample and put the calculation into D3, and the AVERAGE function calculates the center value of the sample and the center value is entered into the D2 table. Respectively determining the grouping number, the group distance, the distance between the upper limit and the lower limit and the central value, the lower limit of the group coordinates and the upper limit of the group coordinates, wherein the grouping number is set as 30 and is placed into a D6 cell, the distance between the upper limit and the lower limit and the central value is 5 and is placed into a D8 cell, the calculation formula of the lower limit of the group coordinates is D2-D8D 3, and the result of the upper limit of the group coordinates is placed into a D9 table; the calculation formula of the upper limit of the group coordinates is D2+ D8 × D3, and the result is put into a D10 table; namely, the calculation formula of the group distance (D $10-D $9)/(D $6-1) can be utilized, wherein $ is the absolute reference of the cell, and the range of values used in the excel function when the formula is copied to other cells in a pull-down mode is not changed, namely, the calculation of the excel function is not influenced. Then, the group coordinate and the frequency count are respectively input in a column number of G, H, I, the values of the groups in the G column are sequentially increased from 1 to 78, specifically, numbers 1 and 2 are respectively filled in G2 and G3 until 78 is filled in. And calculating the group coordinates in the column H, wherein H2 refers to the lower limit D9 of the group coordinates, obtaining the group coordinates corresponding to the group by adopting a calculation formula H2+ D $7 in H3, selecting the middle H3 cell, and placing the mouse on a small black square of a middle box in the lower right corner. Double-clicking when the mouse changes into a black cross, and filling the rest cells in the H columns; finally, the frequency in the column I is calculated, and the formula COUNTIF (a: a, "< ═ H2) is filled in the column I2 to calculate the frequency, and the formula represents how many numbers in the column a are smaller than or equal to the values in H2. The frequency corresponding to the group and group coordinates is calculated from the formula COUNTIF (a: a, "< ═ H3) -COUNTIF (a: a," < ═ H2) at cell I3, and the remaining cells are filled in column I. Dist (H2, D $2, D $3, FALSE) in the same input function syntax, where H2 is the value whose distribution needs to be calculated, D $2 is the arithmetic mean of the distribution, D $3 is the standard deviation of the distribution, and FALSE is the logical value; explaining the main role of this function syntax is to return a normal distribution function that specifies the mean and standard deviation.
The frequency, normal curve and coordinates are established separately, and the equations OFFSET (normal distribution! $ I $1,1, normal distribution! $ D $6), OFFSET (normal distribution! $ J $1,1, normal distribution! $ D $6) and OFFSET (normal distribution! $ H $1,1, normal distribution! $ D $6) are entered separately at the corresponding reference locations. And inserting a bar chart, editing coordinate axis reference, and selecting a normal curve from the bar chart to obtain the normal distribution curve of one of the inspection instruments. Generating normal distribution curve of another testing instrument in the same way, the abscissa of the two characteristic curves means the number of red blood cells, and the ordinate of the two characteristic curves comprisesMeaning frequency (number of detected people), wherein one curve is 4.29 × 10 on abscissa12the/L interval reaches the peak value, namely the position of the average number; similarly, another characteristic curve obtained by statistics is 4.29 × 1012the/L interval is at the central peak position, and the two instruments are considered to have good performance on the detection item of the number of red blood cells. If the mean value of the positive center of the curve has obvious deviation, the inspection instrument can be judged to be in an abnormal state.
The user terminal adopts an all-in-one machine of the association E92Z, and the input end of the user terminal is connected with the output end of the management system. The instrument technical personnel obtain the alarm signal that the inspection instrument is unusual and send through user terminal, and then in time overhauls the detecting instrument that the performance is unqualified, the testing result is irregular to guarantee the reliability of testing result.
Meanwhile, the preset threshold in the scheme is set manually, and the preset threshold is further optimized in a subsequent series of test processes. Therefore, based on the situation, the long-term and short-term memory network can be adopted in the management system, the successfully trained neural network model can be obtained through repeated iterative training of the preset threshold, the preset threshold with higher accuracy can be obtained, and the performance of the inspection instrument can be conveniently judged. In addition, the variance can be trained by adopting a long-term and short-term memory network until the model accords with the sample data. For example, the sensitivity of an electromagnetic valve in the inspection equipment is reduced, so that the platelet count in the detection result is low, a characteristic curve is obtained, an offset exists in comparison with the characteristic curve of another normal detection equipment, and the artificial intelligence neural network matches corresponding fault information according to the offset. And the management system processes the offset, so that the fault information of the detection equipment can be automatically judged, and matched maintenance suggestions are called from the database.
In another embodiment, the first medical examination device and the second medical examination device adopt an ohilon HEM-7130 electronic sphygmomanometer, and the abscissa of the obtained characteristic curve means the heart rate, and the ordinate means the number of detected persons. In other embodiments, the first medical examination device and the second medical examination device may further adopt a Mission 500 urine conventional urine analyzer, and the abscissa of the obtained characteristic curve means the alkalinity of uric acid, and the ordinate means the number of detected persons. Can be used for evaluating the performance of a sphygmomanometer and a urine routine test device.
Example two
Compared with the first embodiment, the difference is that, as shown in fig. 2, a home user subsystem is further included, and the service objects of the home user subsystem are a home user and a doctor. Specifically, the family user subsystem comprises an information input module, a result generation module, an online registration module and a navigation module; the user requirements of partial families equipped with detection equipment can be met, firstly, the user selects a hospital, and a detection result is input into the information input module; then, a doctor gives out professional diagnosis and suggestions, and if the suggestions contain keywords such as 'admission', 'treatment', and the like, the family user can receive a prompt of 'whether to register for treatment'; finally, after the family user confirms that the registration is needed, the system sends navigation information going to the hospital to the family user, and convenience is provided for some users who need to go to the hospital to see a doctor.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. Medical quick check management system, including first medical treatment inspection equipment, second medical treatment inspection equipment, management system and user terminal, its characterized in that, management system includes data sampling module and processing module, wherein:
the first medical examination equipment is used for collecting and processing an examination sample to generate a first examination result;
the second medical examination equipment is used for collecting and processing the examination sample to generate a second examination result;
the data sampling module is used for acquiring environmental parameters, receiving a plurality of first test results and a plurality of second test results, and generating a first sampling set and a second sampling set;
the processing module is used for processing the first sampling set and the second sampling set by the environment parameters to generate a first characteristic curve and a second characteristic curve; extracting a first characteristic value and a second characteristic value, and judging whether the variance exceeds a preset threshold value; if the variance exceeds a preset threshold value, generating an alarm signal;
and the user terminal is used for acquiring the alarm signal.
2. The medical rapid verification management system according to claim 1, wherein: the environmental parameter includes a time parameter.
3. The medical rapid verification management system according to claim 2, wherein: the abscissa of the first characteristic curve and the second characteristic curve means the number of red blood cells, and the ordinate means the number of detected people.
4. The medical rapid verification management system according to claim 3, wherein: the processing module is also used for dividing a training set according to the preset threshold value processed by the neural network, and training the training set to obtain a mathematical model conforming to the input sample.
5. The medical rapid verification management system according to claim 1, wherein: the environmental parameters also include weather parameters.
6. The medical rapid verification management system according to claim 4, wherein: the management system also comprises a database, wherein the database is used for storing maintenance suggestions; the processing module is also used for generating matched fault information according to the neural network processing variance and calling corresponding maintenance suggestions from the database.
7. The medical rapid verification management system according to claim 1, wherein: the management system also comprises a family user subsystem, wherein the family user subsystem comprises an information input module and a result generation module, and the management system further comprises a family user subsystem, wherein:
the information input module is used for displaying a cooperation hospital near the home user; the system is also used for the family user to select the hospital and input the test result;
and the result generating module is used for sending the detection result to a doctor computer terminal of the hospital selected by the home user, and the doctor analyzes the state of an illness and gives a suggestion according to the detection result.
8. The medical rapid verification management system according to claim 7, wherein: the family user subsystem also comprises an online registration module and a navigation module; wherein:
the online registration module is used for extracting keywords in the doctor suggestion after receiving the doctor suggestion, and sending a registration and diagnosis prompt to the family user if the suggestion contains admission;
and the navigation module is used for providing navigation information for the family user to go to the nearby cooperative hospital after the family user receives and confirms the registration and diagnosis prompt.
9. The medical rapid verification management system according to claim 1, wherein: the abscissa of the first characteristic curve and the second characteristic curve means the heart rate, and the ordinate means the number of detected people.
10. The medical rapid verification management system according to claim 1, wherein: the abscissa of the first characteristic curve and the second characteristic curve means the alkalinity of uric acid, and the ordinate means the number of detected people.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911330450.6A CN111161868A (en) | 2019-12-20 | 2019-12-20 | Medical quick inspection management system |
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| CN201911330450.6A CN111161868A (en) | 2019-12-20 | 2019-12-20 | Medical quick inspection management system |
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| CN111161868A true CN111161868A (en) | 2020-05-15 |
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