Drainage data recorder and drainage data processing system for postoperative patient management

Abstract

The invention discloses a drainage data recorder and a drainage data processing system for postoperative management of a patient, and relates to the technical field of postoperative management.The drainage data recorder and the drainage data processing system intelligently monitor and record drainage data in a drainage device of a gynecological postoperative patient, confirm the infection type of the patient when the drainage data is abnormal, and improve the accuracy of the drainage data. Then corresponding feedback is carried out, and whether the drainage device is replaced or not is judged, so that the drainage data monitoring and recording efficiency and accuracy are improved, the workload of medical staff is reduced, the drainage data and infection monitoring processing speed is increased, infection spreading and diffusion are effectively controlled, and the recovery effect of a patient is guaranteed; the drainage conditions of all postoperative patients in the gynecology department are analyzed, and the standardization and safety of selection and installation operation of the drainage device by medical staff can be clearly obtained, so that the drainage device infection of subsequent patients is reduced, and the treatment cost of the patients and the medical resource consumption of hospitals are also reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of postoperative management, and in particular to a drainage data recorder and a drainage data processing system for postoperative management of patients. Background Art

[0002] There are various types of gynecological surgeries, including ovarian cystectomy and hysteromyomectomy. The patient's physical condition after surgery is complex and changeable. By monitoring drainage data, it is possible to intuitively reflect the condition, provide timely feedback on wound infection, improve the timeliness of medical staff's care, and effectively control the spread and spread of infection. Therefore, it is necessary to record and analyze drainage data of gynecological postoperative patients.

[0003] Traditional postoperative drainage data is generally recorded by medical staff, who then analyze whether the drainage data is abnormal based on experience. Obviously, this recording and analysis process has the following shortcomings: 1. The drainage data of postoperative patients needs to be recorded at fixed intervals, but the workload of medical staff is large and the accuracy of the recording time cannot be ensured. At the same time, the drainage data includes a variety of data, such as drainage volume, drainage color and pressure, etc., and some data need to be tested with the help of detection instruments, which greatly increases the complexity and tediousness of medical staff's records, while increasing the workload of medical staff and affecting the accuracy of medical staff's records.

[0004] 2. Analyzing drainage data can quickly determine whether a patient is infected, but drainage device infection and wound infection have different effects on the patient's vital signs. However, in the existing technology, medical staff need to further examine the patient and confirm the infection after discovering drainage abnormalities, which greatly reduces the efficiency and effectiveness of patient infection monitoring and diagnosis. It is impossible to effectively and quickly carry out targeted treatment of the patient's infection, and it is impossible to effectively control the spread and spread of the infection, which reduces the patient's recovery effect.

[0005] 3. When the patient is recovering, the drainage device may be infected due to problems such as the selection and installation of the drainage device by medical staff, leading to local infection of the wound. A comprehensive analysis of the drainage conditions of postoperative patients in the department can clearly reflect the proficiency of the medical staff in the use of the drainage device and the standardization of the operation. However, the existing technology lacks a comprehensive analysis of the drainage conditions of postoperative patients in the department, and cannot clearly obtain the standardization and safety of the selection and installation operations of the drainage device by medical staff, thereby failing to reduce the subsequent drainage device infection of patients, and failing to reduce the patient treatment costs and the hospital's medical resource consumption. Summary of the Invention

[0006] In view of the above-mentioned technical deficiencies, the object of the present invention is to provide a drainage data recorder and drainage data processing system for postoperative management of patients.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a drainage data recorder and drainage data processing system for postoperative management of patients, including: a monitoring unit, which is used to obtain the material of the patient's drainage device and the patient's basic data after the gynecological patient completes the operation, and then set the patient's drainage monitoring plan, control the drainage data recorder to record the patient's drainage data and medium data at each recording time according to the drainage monitoring plan, and obtain the patient's vital sign data at each recording time.

[0008] The analysis unit is used to analyze the patient's postoperative recovery status using the patient's drainage data, medium data and vital sign data at each recording moment, and execute the execution unit when the patient's postoperative recovery status is abnormal.

[0009] The execution unit includes a troubleshooting module and a replacement module.

[0010] The screening module is used to use the patient's drainage data and medium data to confirm that the patient's postoperative recovery status is of an abnormal type, where the types include internal infection and drainage device infection, and provide feedback on abnormal processing.

[0011] The replacement module is used to analyze whether the patient needs to replace the drainage device after the patient undergoes abnormal treatment, and if so, provide corresponding feedback.

[0012] The summary unit is used to obtain the drainage records of each postoperative patient in the gynecology department within a specified period, analyze the postoperative drainage conditions of the gynecology patients, and perform corresponding treatment based on the drainage conditions.

[0013] The beneficial effects of the present invention are as follows: the present invention provides a drainage data recorder and drainage data processing system for postoperative management of patients. By intelligently monitoring and recording the drainage data in the drainage device of gynecological postoperative patients, and combining the patient's vital signs data, when the drainage data is abnormal, the patient's infection type is confirmed, and then corresponding feedback is given. At the same time, according to the status of the drainage device, it is judged whether to replace the drainage device, thereby improving the efficiency and accuracy of drainage data monitoring and recording, reducing the workload of medical staff, and increasing the speed of drainage data and infection monitoring processing, effectively controlling the spread and spread of infection, and ensuring the patient's recovery effect. In addition, by analyzing the drainage conditions of all postoperative patients in gynecology, the standardization and safety of medical staff's selection and installation operations of drainage devices can be clearly obtained, thereby reducing subsequent drainage device infections of patients, and also reducing patient treatment costs and hospital medical resource consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0015] Figure 1 This is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0017] See also Figure 1 As shown, a drainage data recorder and drainage data processing system for postoperative management of patients includes: a monitoring unit, an analysis unit, an execution unit, a summary unit and a cloud database.

[0018] The monitoring unit is used to obtain the material of the patient's drainage device and the patient's basic data after the gynecological patient completes the operation, and then set the patient's drainage monitoring plan, control the drainage data recorder to record the patient's drainage data and medium data at each recording time according to the drainage monitoring plan, and obtain the patient's vital sign data at each recording time.

[0019] Among the above, the materials of the drainage device include silicone and polyurethane. Drainage devices of different materials have different characteristics, and therefore are suitable for different types of surgeries. If the material of the drainage device selected by medical staff is not compatible with the patient, it is easy to cause infection of the drainage device and affect the wound recovery effect.

[0020] The basic data of patients, including their height, weight, gender, and surgery type, were obtained from the hospital management center.

[0021] The drainage data recorder includes multiple sensors, including but not limited to flow sensors, pressure sensors and color recognition sensors, and is compatible with drainage devices made of various materials. Drainage data includes but is not limited to drainage volume, drainage pressure and drainage color parameters, among which the drainage color parameters are RGB values.

[0022] The medium data is the relevant data of bacteria in the drainage fluid, including the types and contents of each bacteria. The medium data can be detected by methods such as fluorescent quantitative PCR and input into the drainage data recorder.

[0023] Vital sign data include the patient's body temperature and heart rate, etc., which can be obtained through devices such as thermometers and smart watches.

[0024] In a specific embodiment, the drainage monitoring plan for the patient is set up, and the specific process is as follows: the material and basic data of the patient's drainage device are compared with the material and basic data of the drainage device of each historical postoperative gynecological patient in the historical postoperative drainage records of the cloud database, and the historical postoperative patients with the same material and basic data as the patient's drainage device are used as marked postoperative patients. The postoperative recovery status of each marked postoperative patient is obtained from the historical postoperative drainage records of the cloud database, and the abnormality type and abnormality severity level of each marked postoperative patient whose recovery status is abnormal are extracted.

[0025] Each marked postoperative patient whose abnormal type is internal infection is recorded as a Class I patient, and each marked postoperative patient whose abnormal type is drainage device infection is recorded as a Class II patient. The abnormal severity level of each Class I patient and the abnormal severity level of each Class II patient are extracted, and the patient's predicted abnormal severity level of wound infection is evaluated. Based on the patient's predicted abnormal severity level of wound infection, a recording plan for the drainage data recorder is formulated as a drainage monitoring plan.

[0026] In the above, the evaluation of the patient's wound infection prediction abnormal severity level is as follows: the number of patients in category 1 and category 2 in each abnormal severity level is counted, recorded as N1 f and N2 f At the same time, the maximum drainage data, maximum medium data, and maximum vital sign data of each Class I patient and each Class II patient in each abnormal severity level are obtained from the database; and the maximum drainage data, maximum medium data, and maximum vital sign data of each marked postoperative patient with a normal recovery state are obtained. Then, the mode is selected as the drainage data threshold, the medium data threshold, and the vital sign data threshold. Then, the severe characteristic value of the patient in each abnormal severity level is calculated, which is recorded as γ f , f represents the number of each abnormal severity level, and f is a positive integer.

[0027] Preferably, the severe characteristic value of the patient in each abnormal severity level is calculated, and the specific calculation process is: the drainage data threshold, medium data threshold and vital sign data threshold in each abnormal severity level are normalized, and then the mean is calculated to obtain the severe characteristic value of the patient in each abnormal severity level.

[0028] Using the analytical formula:

[0029] The patient's wound infection prediction abnormal severity level χ is obtained, where r and R are both positive integers, r∈[1,R), R is the maximum value of the wound infection prediction abnormal severity level, a1, ar-1 、a r 、a R-1 They respectively represent the upper limit eigenvalue of the wound infection prediction abnormal severity level 0, the lower limit eigenvalue of the wound infection prediction abnormal severity level r, the upper limit eigenvalue of the wound infection prediction abnormal severity level r, and the lower limit eigenvalue of the wound infection prediction abnormal severity level R.

[0030] It should be noted that a1, a r-1 、a r 、a R-1 The severity level of wound infection prediction was also jointly discussed and formulated by multiple gynecological experts. The higher the severity level of wound infection prediction, the greater the risk of wound infection and the more severe the wound deterioration.

[0031] Preferably, the recording plan for the drainage data recorder is specifically formulated as follows: obtain each Class I patient and each Class II patient whose abnormality severity level is the same as the patient's wound infection predicted abnormality severity level, and record them as target patients. Obtain the data collection frequency of each target patient, the drainage data, medium data, vital signs data collected each time before feedback, and the infection treatment cost from the historical postoperative drainage records of the cloud database, record the drainage data, medium data, and vital signs data collected each time before feedback as the comprehensive data collected each time, and calculate the comprehensive data change rate of each target patient before feedback.

[0032] It should be noted that the infection treatment cost is the treatment cost of the patient after infection, which can be obtained from the hospital management background.

[0033] In the above, the comprehensive data collected before each target patient's feedback is subtracted from the comprehensive data collected the previous time, divided by the comprehensive data collected the previous time, and then the mean is calculated to obtain the change rate of the comprehensive data before each target patient's feedback, where the change rate of the comprehensive data collected for the first time is recorded as 0.

[0034] The comprehensive data change rate and infection treatment cost of each target patient before feedback were used to analyze the monitoring characteristic value of each target patient. The data collection frequency of the target patient corresponding to the maximum monitoring characteristic value was selected as the data collection frequency of the patient drainage data recorder and recorded as the recording scheme of the drainage data recorder.

[0035] It should be noted that the specific process of analyzing the monitoring characteristic values of each target patient is as follows: normalize the comprehensive data change rate and infection treatment cost of each target patient before feedback, then calculate the mean, and use the inverse of the calculation result as the monitoring characteristic value of each target patient.

[0036] When the patient's data change rate is not large, the patient's data change trend can be accurately obtained, and problems can be discovered and dealt with in a timely manner. This can effectively prevent the spread of wound infection in patients and ensure the patient's recovery rate.

[0037] The analysis unit is used to analyze the patient's postoperative recovery status using the patient's drainage data, medium data and vital sign data at each recording moment, and execute the execution unit when the patient's postoperative recovery status is abnormal.

[0038] In a specific embodiment, the specific process of analyzing the patient's postoperative recovery status is: setting a standard drainage data interval, standard medium data and standard vital sign data interval for each recording moment. If the patient's drainage data at each recording moment is within the standard drainage data interval of the corresponding recording moment, the medium data at each recording moment is less than the standard medium data at the corresponding recording moment, and the vital sign data at each recording moment is within the standard vital sign data interval of the corresponding recording moment, it indicates that the patient's postoperative recovery status is normal.

[0039] It should be noted that the data collection frequency in the recording scheme of the drainage data recorder is obtained, and the data collection frequency of each marked postoperative patient with a normal recovery status is extracted from the historical postoperative drainage records of the cloud database, and each marked postoperative patient with a normal recovery status with the same data collection frequency is selected as each normal reference patient, and the drainage data, medium data and vital sign data of each normal reference patient at each recording moment are obtained from the historical postoperative drainage records of the cloud database, and the drainage data and vital sign data of each normal reference patient at each recording moment are used as the standard drainage data interval and standard vital sign data interval, and the maximum medium data is selected from the medium data of each normal reference patient at each recording moment as the standard medium data at each recording moment.

[0040] If the patient's drainage data at at least one recording moment is not within the standard drainage data range of the corresponding recording moment, the medium data at at least one recording moment is greater than or equal to the standard medium data of the corresponding recording moment, or the vital sign data at at least one recording moment is not within the standard vital sign data range of the corresponding recording moment, it indicates that the patient's postoperative recovery state is abnormal.

[0041] The execution unit includes a troubleshooting module and a replacement module.

[0042] The troubleshooting module is used to use the patient's drainage data and media data to confirm that the patient's postoperative recovery status is abnormal, where the types include internal infection and drainage device infection, and provide feedback on abnormal treatment;

[0043] In a specific embodiment, the specific process of confirming that the patient's postoperative recovery state is abnormal is as follows: obtaining drainage volume, drainage pressure and drainage color parameters from the patient's drainage data at each recording moment, and analyzing the change trend of the patient's drainage data, which are sudden change and gradual change respectively.

[0044] In the above, the patient drainage data change rate is calculated according to the calculation method of the comprehensive data change rate before each target patient feedback, and the standard drainage data change rate interval is set according to the setting process of the standard drainage data interval at each recording moment. If the patient drainage data change rate is within the standard drainage data change rate interval, the change trend of the patient drainage data is gradual. If the patient drainage data change rate is not within the standard drainage data change rate interval, the change trend of the patient drainage data is sudden.

[0045] Each medium type and the content of each medium type are obtained from the medium data of the patient at each recording moment, and the patient's medium change attributes are analyzed, where the medium change attributes include single change and multiplicity change.

[0046] In the above, according to the setting process of the standard medium data at each recording moment, the number of standard medium types and the standard content of each medium type are set. If the patient has at least one recording moment in which the number of medium types is greater than the number of standard medium types and the content of each medium type is greater than its standard content, it indicates that the patient's medium change attribute is a diversity change, otherwise the patient's medium change attribute is a single change.

[0047] The body temperature is obtained from the patient's adjustment data at each recording moment, and the changing trend of the patient's body temperature is analyzed.

[0048] It should be noted that the changing trend of the patient's body temperature is analyzed in the same way as the changing trend of the patient's drainage data.

[0049] When the patient's medium change attribute is a single change and the drainage data change trend is a sudden change, the patient's medium change attribute is a single change and the body temperature change trend is a sudden change, or the patient's drainage data change trend is a sudden change and the body temperature change trend is a sudden change, it indicates that the patient's postoperative recovery status is abnormal and the type is drainage device infection. Otherwise, it indicates that the patient's postoperative recovery status is abnormal and the type is internal infection.

[0050] The replacement module is used to analyze whether the patient needs to replace the drainage device after the patient undergoes abnormal treatment, and if so, provide corresponding feedback.

[0051] In a specific embodiment, the specific process of analyzing whether the patient needs to replace the drainage device is as follows: when the patient's postoperative recovery state is in an abnormal type of drainage device infection, the patient needs to replace the drainage device; if the patient's postoperative recovery state is in an abnormal type of internal infection, the drainage concentration is obtained from the patient's drainage data at the last recording moment, and the number of medium types and the content of each medium type are obtained from the patient's medium data at the last recording moment, and the drainage device operation status is calculated, where the drainage status includes a usable state and an unusable state. When the drainage device operation status is an unusable state, the patient needs to replace the drainage device.

[0052] Preferably, the operation status of the drainage device is calculated in a specific process as follows: extracting the maximum drainage concentration, the maximum number of medium types, and the maximum content of each medium type of each marked postoperative patient whose recovery status is normal from the historical postoperative drainage records of the cloud database; selecting the maximum drainage concentration, the maximum number of medium types, and the maximum content of each medium type from the maximum drainage concentration, the maximum number of medium types, and the maximum content of each medium type of each marked postoperative patient as the standard drainage concentration, the standard number of medium types, and the standard content of each medium type, which are recorded as c1′, c2′, and c3′ respectively y , y represents the number of each medium type, and y is a positive integer.

[0053] The drainage concentration, number of medium types and content of each medium type of the patient at the last recording time are recorded as c1, c2 and c3 respectively. y , using the analytical formula:

[0054] Obtain drainage device operation status analysis results Where Y represents the total number of media types, Δc1 and Δc2 represent the maximum value of the maximum drainage concentration difference and the maximum value of the maximum number of media types between patients after each marking operation, respectively, and Δc3 y represents the maximum value of the maximum content difference of the yth medium type between the patients after each surgery, and τ is the set drainage device operation status threshold.

[0055] when If it is YES, it means the drainage device is in a usable state. If it is NO, it means that the drainage device is in an unusable state.

[0056] It should be noted that the drainage device operating status threshold is a reference data jointly developed by multiple experts to determine whether the drainage device can continue to be used. When the calculated value is greater than the drainage device operating status threshold, it indicates that the concentration and bacterial count in the drainage device are too high and it is not suitable for continued use. On the contrary, when the calculated value is less than or equal to the drainage device operating status threshold, it indicates that the concentration and bacterial count in the drainage device are normal and can continue to be used. For example: the drainage device operating status threshold is 12, The calculated value is 4, 4<12, indicating that the drainage device can continue to be used and the drainage device is in a usable state.

[0057] When the drainage device is unavailable, an unavailable signal is sent to the terminal of the patient's attending physician, prompting the attending physician to replace the drainage device.

[0058] The summary unit is used to obtain the drainage records of each postoperative patient in the gynecology department within a specified period, analyze the postoperative drainage conditions of the gynecology patients, and perform corresponding treatment based on the drainage conditions.

[0059] In a specific embodiment, the analysis of postoperative drainage conditions of gynecological patients is carried out as follows: the operation type, medical staff number, whether the drainage device is infected, and the number of drainage device replacements are obtained from the drainage records of each postoperative gynecological patient within a specified period, thereby counting the number of postoperative patients in each operation type, postoperative patients with drainage device infection, and the number of drainage device replacements, as well as the number of patients in each operation type, postoperative patients with drainage device infection, and the number of drainage device replacements for each medical staff.

[0060] It should be noted that the drainage records of each postoperative patient in the gynecology department within a specified period were obtained from the cloud database.

[0061] The overall postoperative drainage installation operation status value M of gynecology is calculated using the number of postoperative patients in each surgical type, the number of postoperative patients with drainage device infection, and the number of drainage device replacements. When M=1, it indicates that the postoperative drainage condition of gynecology patients is good, and when M=0, it indicates that the postoperative drainage condition of gynecology patients is poor.

[0062] When M=0, the number of patients in each surgical type, the number of postoperative patients with drainage device infection, and the number of drainage device replacements for each medical staff were used to analyze the drainage upgrade types in gynecology, where the drainage upgrade types included overall medical staff upgrade and partial medical staff upgrade.

[0063] Preferably, the drainage device infection ratio of each surgical type is obtained by dividing the number of postoperative patients with drainage device infection by the number of postoperative patients, and is recorded as κ1 q, q represents the number of each surgical type, q is a positive integer, and the number of drainage device replacements in each surgical type is divided by the number of postoperative patients with drainage device infection to obtain the replacement rate per patient in each surgical type, which is recorded as κ2 q ; Substitute into the analysis formula: The overall postoperative drainage installation operation status value M of gynecology is obtained, where κ1′ and κ2′ are the drainage infection ratio threshold and the replacement volume threshold per patient, respectively, and Q is the number of surgical types.

[0064] Among them, the drainage infection ratio and unit patient replacement volume of each surgical type in each historical period when the gynecology department did not perform drainage upgrades were obtained from the hospital management center, and then the mean was calculated to obtain the drainage infection ratio threshold and unit patient replacement volume threshold.

[0065] Preferably, the analysis of drainage upgrade types in gynecology is as follows: the ratio of the number of patients with drainage device infection and the number of patients in each surgical type for each medical staff is used as the drainage infection ratio of each medical staff in each surgical type, recorded as κ1 pq The ratio of drainage device replacements of each medical staff in each surgical type to the number of postoperative patients with drainage device infection was used as the unit patient replacement rate of each medical staff in each surgical type, recorded as κ2 pq , where p represents the number of each medical staff member, and p is a positive integer.

[0066] Using the calculation formula:

[0067]

[0068] The analysis results of drainage upgrade types in gynecology were obtained, where P and Q represent the number of medical staff and the number of surgical types, respectively, and Δκ1 qmax , Δκ2 qmax They represent the maximum difference in drainage infection ratio and the maximum difference in unit patient replacement volume among medical staff in the qth surgical type, respectively, and κ1 qmin , κ2 qmin They represent the minimum value of the drainage infection ratio and the minimum value of the unit patient replacement of each medical staff in the qth surgical type, κ1′ q , κ1′ q They represent the average drainage infection ratio and the average number of replacements per unit patient for each medical staff in the qth surgical type, respectively, and ζ is the set drainage upgrade threshold.

[0069] When ω=1, it indicates that the upgrade type of drainage in gynecology is the upgrade of all medical staff. When ω=-1, it indicates that the upgrade type of drainage in gynecology is the upgrade of some medical staff. The medical staff who need to upgrade the operation are screened out and feedback is provided at the same time.

[0070] It should be noted that the process of setting the drainage upgrade threshold is the same as the drainage device operation status threshold, and will not be repeated here.

[0071] In the above, when the drainage upgrade type is the upgrade of some medical staff, the calculation Get the drainage upgrade coefficient ζ of the pth medical staff p When the drainage upgrade coefficient of a medical staff is greater than the drainage upgrade threshold, it indicates that the medical staff is a person who needs to be upgraded. In this way, the number of each person who needs to be upgraded is obtained, and the number of each person who needs to be upgraded is fed back to the hospital management center, prompting the hospital to carry out drainage upgrade of medical staff.

[0072] The cloud database is used to store historical postoperative drainage records and drainage records of each postoperative patient in the gynecology department within a specified period.

[0073] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. A drainage data recorder and drainage data processing system for postoperative management of patients, characterized in that: include: The monitoring unit is used to obtain the material of the patient's drainage device and the patient's basic data after the gynecological patient completes the operation, then set the patient's drainage monitoring plan, control the drainage data recorder to record the patient's drainage data and medium data at each recording time according to the drainage monitoring plan, and obtain the patient's vital sign data at each recording time; an analyzing unit, configured to analyze the patient's postoperative recovery status by using the patient's drainage data, media data, and vital sign data at each recording moment, and execute the executing unit when the patient's postoperative recovery status is abnormal; The execution unit includes a troubleshooting module and a replacement module; The troubleshooting module is used to use the patient's drainage data and media data to confirm that the patient's postoperative recovery status is abnormal, where the types include internal infection and drainage device infection, and provide feedback on abnormal treatment; The replacement module is used to analyze whether the patient needs to replace the drainage device after the patient undergoes abnormal treatment, and provide corresponding feedback if necessary; The summary unit is used to obtain the drainage records of each postoperative patient in the gynecology department within a specified period, analyze the postoperative drainage conditions of the gynecology patients, and perform corresponding treatment based on the drainage conditions.

2. A drainage data recorder and drainage data processing system for postoperative patient management according to claim 1, characterized in that: The specific process of setting up the patient's drainage monitoring plan is as follows: Compare the material and basic data of the patient's drainage device with the material and basic data of the drainage devices of various historical postoperative gynecological patients in the historical postoperative drainage records of the cloud database. Use the historical postoperative patients whose drainage devices have the same material and basic data as the patient as the marked postoperative patients. Obtain the postoperative recovery status of each marked postoperative patient from the historical postoperative drainage records of the cloud database, and extract the abnormality type and abnormality severity level of each marked postoperative patient with an abnormal recovery status; Each marked postoperative patient whose abnormal type is internal infection is recorded as a Class I patient, and each marked postoperative patient whose abnormal type is drainage device infection is recorded as a Class II patient. The abnormal severity level of each Class I patient and the abnormal severity level of each Class II patient are extracted, and the patient's predicted abnormal severity level of wound infection is evaluated. Based on the patient's predicted abnormal severity level of wound infection, a recording plan for the drainage data recorder is formulated as a drainage monitoring plan.

3. A drainage data recorder and drainage data processing system for postoperative patient management according to claim 2, characterized in that: The specific process of evaluating the patient's wound infection prediction abnormal severity level is as follows: Count the number of patients in category 1 and category 2 in each severity level of abnormality, denoted as N1 f and N2 f , and simultaneously obtain the maximum drainage data, maximum medium data, and maximum vital sign data of each Class I patient and each Class II patient in each abnormal severity level from the database; The maximum drainage data, maximum medium data, and maximum vital sign data of each marked postoperative patient whose recovery state is normal are obtained, and then the mode is selected as the drainage data threshold, medium data threshold, and vital sign data threshold. The severe characteristic value of the patient in each abnormal severity level is calculated and recorded as γ f , f represents the number of each abnormal severity level, f is a positive integer; Using the analytical formula: The patient's wound infection prediction abnormal severity level χ is obtained, where r and R are both positive integers, r∈[1,R), R is the maximum value of the wound infection prediction abnormal severity level, a1, a r-1 、a r 、a R-1 They respectively represent the upper limit eigenvalue of the wound infection prediction abnormal severity level 0, the lower limit eigenvalue of the wound infection prediction abnormal severity level r, the upper limit eigenvalue of the wound infection prediction abnormal severity level r, and the lower limit eigenvalue of the wound infection prediction abnormal severity level R.

4. A drainage data recorder and drainage data processing system for postoperative patient management according to claim 2, characterized in that: The specific process of formulating the recording plan of the drainage data recorder is as follows: Obtain all Category 1 and Category 2 patients whose abnormal severity level is the same as the patient's predicted abnormal severity level of wound infection and record them as target patients. Obtain the data collection frequency, drainage data, media data, vital signs data collected before feedback, and infection treatment costs of each target patient from the historical postoperative drainage records of the cloud database. Record the drainage data, media data, and vital signs data collected before feedback as the comprehensive data collected at each time, and calculate the change rate of the comprehensive data before feedback for each target patient. The comprehensive data change rate and infection treatment cost of each target patient before feedback were used to analyze the monitoring characteristic value of each target patient. The data collection frequency of the target patient corresponding to the maximum monitoring characteristic value was selected as the data collection frequency of the patient drainage data recorder and recorded as the recording scheme of the drainage data recorder.

5. A drainage data recorder and drainage data processing system for postoperative patient management according to claim 1, characterized in that: The specific process of analyzing the patient's postoperative recovery status is as follows: Set the standard drainage data interval, standard medium data, and standard vital sign data interval at each recording time as b1′ t 、b2′ t and b3′ t , the drainage data, medium data and vital sign data of the patient at each recording time are recorded as b1 t 、b2 t and b3 t , using the analytical formula: Obtain the patient's postoperative recovery status analysis result η, where t represents the number of each recording moment and t is a positive integer; η=1 indicates that the patient's postoperative recovery state is normal, and η=-1 indicates that the patient's postoperative recovery state is abnormal.

6. A drainage data recorder and drainage data processing system for postoperative patient management according to claim 1, characterized in that: The specific process of confirming that the patient's postoperative recovery status is abnormal is as follows: The drainage volume, drainage pressure and drainage color parameters are obtained from the patient's drainage data at each recording moment, and the change trend of the patient's drainage data is analyzed, and the change trends are sudden change and gradual change respectively; Obtaining each medium type and each medium type content from the patient's medium data at each recording moment, and analyzing the patient's medium change attributes, wherein the medium change attributes include single change and multiplicity change; Obtain the patient's body temperature from the adjustment data at each recording moment and analyze the changing trend of the patient's body temperature; When the patient's medium change attribute is a single change and the drainage data change trend is a sudden change, the patient's medium change attribute is a single change and the body temperature change trend is a sudden change, or the patient's drainage data change trend is a sudden change and the body temperature change trend is a sudden change, it indicates that the patient's postoperative recovery status is abnormal and the type is drainage device infection. Otherwise, it indicates that the patient's postoperative recovery status is abnormal and the type is internal infection.

7. A drainage data recorder and drainage data processing system for postoperative patient management according to claim 2, characterized in that: The specific process of analyzing whether the patient needs to replace the drainage device is as follows: When the patient's postoperative recovery status is abnormal and the type is drainage device infection, the patient needs to replace the drainage device; if the patient's postoperative recovery status is abnormal and the type is internal infection, the drainage concentration is obtained from the patient's drainage data at the last recording time, and the number of medium types and the content of each medium type are obtained from the patient's medium data at the last recording time, and the drainage device operation status is calculated, where the drainage status includes a usable state and an unusable state. When the drainage device operation status is an unusable state, the patient needs to replace the drainage device.

8. A drainage data recorder and drainage data processing system for postoperative patient management according to claim 7, characterized in that: The specific process of calculating the operating status of the drainage device is as follows: The maximum drainage concentration, maximum number of medium types, and maximum content of each medium type of each marked postoperative patient with normal recovery status were extracted from the historical postoperative drainage records of the cloud database. The maximum drainage concentration, maximum number of medium types, and maximum content of each medium type of each marked postoperative patient were selected as the standard drainage concentration, standard number of medium types, and standard content of each medium type, which were recorded as c1′, c2′, and c3′, respectively. y , y represents the number of each medium type, and y is a positive integer; The drainage concentration, number of medium types and content of each medium type of the patient at the last recording time are recorded as c1, c2 and c3 respectively. y , using the analytical formula: Drainage device operation status analysis results Where Y represents the total number of media types, Δc1 and Δc2 represent the maximum value of the maximum drainage concentration difference and the maximum value of the maximum number of media types between patients after each marking operation, respectively, and Δc3 y represents the maximum value of the maximum content difference of the yth medium type between the patients after each marker surgery, and τ is the set drainage device operation status threshold; when If it is YES, it means the drainage device is in a usable state. If it is NO, it means that the drainage device is in an unusable state.

9. A drainage data recorder and drainage data processing system for postoperative patient management according to claim 1, characterized in that: The specific process of analyzing the postoperative drainage situation of gynecological patients is as follows: The surgical type, medical staff number, drainage device infection, and number of drainage device replacements were obtained from the drainage records of each postoperative patient in the gynecology department within a specified period. The number of postoperative patients in each surgical type, postoperative patients with drainage device infection, and number of drainage device replacements were then counted. The number of patients in each surgical type, postoperative patients with drainage device infection, and number of drainage device replacements for each medical staff were also counted. The overall postoperative drainage installation operation status value M of gynecology was calculated using the number of postoperative patients in each surgery type, the number of postoperative patients with drainage device infection, and the number of drainage device replacements. When M = 1, it indicates that the postoperative drainage status of gynecology patients is good, and when M = 0, it indicates that the postoperative drainage status of gynecology patients is poor. When M=0, the number of patients in each surgical type, the number of postoperative patients with drainage device infection, and the number of drainage device replacements for each medical staff were used to analyze the drainage upgrade types in gynecology, where the drainage upgrade types included overall medical staff upgrade and partial medical staff upgrade.

10. A drainage data recorder and drainage data processing system for postoperative patient management according to claim 9, characterized in that: The specific process of analyzing the types of drainage upgrades in gynecology is as follows: The ratio of the number of patients with drainage device infection to the number of patients in each type of surgery for each medical staff was used as the drainage infection ratio of each medical staff in each type of surgery, and was recorded as κ1 pq The ratio of drainage device replacements of each medical staff in each surgical type to the number of postoperative patients with drainage device infection was used as the unit patient replacement rate of each medical staff in each surgical type, recorded as κ2 pq , where p represents the number of each medical staff, q represents the number of each operation type, and both p and q are positive integers; Using the calculation formula: The analysis results of drainage upgrade types in gynecology were obtained, where P and Q represent the number of medical staff and the number of surgical types, respectively, and Δκ1 qmax , Δκ2 qmax They represent the maximum difference in drainage infection ratio and the maximum difference in unit patient replacement volume among medical staff in the qth surgical type, respectively, and κ1 qmin , κ2 qmin They represent the minimum value of the drainage infection ratio and the minimum value of the unit patient replacement of each medical staff in the qth surgical type, κ1′ q , κ1′ q They represent the average value of the drainage infection ratio and the average value of the unit patient replacement of each medical staff in the qth surgical type, respectively, and ζ is the set drainage upgrade threshold; When ω=1, it indicates that the upgrade type of drainage in gynecology is the upgrade of all medical staff. When ω=-1, it indicates that the upgrade type of drainage in gynecology is the upgrade of some medical staff. The medical staff who need to upgrade the operation are screened out and feedback is provided at the same time.

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