Mechanical ventilation related complication monitoring method and system

Abstract

The application discloses a mechanical ventilation related complication monitoring method, comprising: obtaining minimum positive end-expiratory pressure information and minimum oxygen concentration information of a user; judging whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information satisfies a first preset condition, if yes, determining that the current monitoring information is first monitoring information and the corresponding first monitoring time; obtaining a second monitoring time range according to the first monitoring time, and obtaining the user's daily body temperature abnormality identifier or white blood cell value abnormality identifier, pathogenic bacteria information and the user's continuous use of new antibacterial drug information in the second monitoring time range; judging whether the above information satisfies a second preset condition, if yes, determining that the current monitoring information is second monitoring information; if not, judging whether the body temperature abnormality identifier or the white blood cell value abnormality identifier and the user's continuous use of new antibacterial drug information satisfies a third preset condition, if yes, determining that the current monitoring information is third monitoring information.

Description

Technical Field

[0001] This application relates to the field of medical testing technology, specifically to a method for monitoring mechanical ventilation-related complications, a system for monitoring mechanical ventilation-related complications, an electronic device, and a computer storage medium. Background Technology

[0002] Mechanical ventilation is an essential life-saving therapy for critically ill patients and those with respiratory diseases. Complications commonly managed with mechanical ventilation include ventilator-associated pneumonia (VAP), sepsis, acute respiratory distress syndrome (ARDS), pulmonary embolism, barotrauma, and pulmonary edema. These complications can lead to longer periods of mechanical ventilation and extended stays in the ICU and wards, increasing both healthcare costs and medical risks.

[0003] In practice, to improve the medical outcomes of mechanically ventilated patients, complications that can be controlled are generally monitored and intervened, such as acute respiratory distress syndrome, emphysema, and pulmonary edema. However, VAP is difficult to monitor clinically, specifically because: (1) the definition of VAP is complex, and diagnosis is time-consuming and difficult to perform. (2) the definition of VAP involves many subjective components, such as imaging, secretions, and chest auscultation. These indicators are not specific, resulting in inconsistent VAP diagnosis and making the diagnostic criteria insensitive and inaccurate, thus causing defects in VAP monitoring.

[0004] To address this, existing technologies offer a monitoring strategy based on other pulmonary complications (VAE, Ventilator-Associated Events). However, VAE monitoring requires real-time performance and accuracy, necessitating sophisticated algorithms for comparing relevant patient diagnostic and treatment data. Manual methods cannot achieve the necessary timeliness and accuracy. Therefore, improving the timeliness and accuracy of monitoring for mechanical ventilation-related complications has become a pressing issue for those skilled in the art. Summary of the Invention

[0005] This application provides a method for monitoring mechanical ventilation-related complications, in order to solve the problem in the prior art of how to improve the timeliness and accuracy of monitoring when monitoring mechanical ventilation-related complications.

[0006] This application provides a method for monitoring mechanical ventilation-related complications, including:

[0007] Obtain the user's lowest positive end-expiratory pressure and lowest oxygen concentration information for each day of medical visit;

[0008] Determine whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information meet the first preset condition. If they do, determine the current monitoring information as the first monitoring information and determine the first monitoring time corresponding to the first monitoring information.

[0009] Based on the first monitoring time, a second monitoring time range is obtained, and the abnormal body temperature or abnormal white blood cell count, pathogen information, and information on the user's continuous use of new antibacterial drugs are obtained for each day of the user's medical visit within the second monitoring time range.

[0010] Determine whether the abnormal body temperature indicator or abnormal white blood cell count indicator, pathogen information, and information on the user's continuous use of new antibacterial drugs meet the second preset condition. If they meet the condition, the current monitoring information is determined as the second monitoring information. If they do not meet the condition, determine whether the abnormal body temperature indicator or abnormal white blood cell count indicator, and information on the user's continuous use of new antibacterial drugs meet the third preset condition. If they meet the condition, the current monitoring information is determined as the third monitoring information.

[0011] Optionally, obtaining the user's lowest positive end-expiratory pressure and lowest oxygen concentration information for each day of medical visit includes:

[0012] Obtain information on the user's course of study and monitoring time;

[0013] Based on the transfer information and monitoring time, the user's basic medical information and monitoring time range are obtained; the monitoring time range includes the monitoring time.

[0014] Based on the basic medical information and the monitoring time range, the lowest positive end-expiratory pressure and lowest oxygen concentration information for each day of the user's medical visit within the monitoring time range are obtained.

[0015] Optionally, the first preset condition includes:

[0016] The PEEP value in the lowest positive end-expiratory pressure information is within a specified range and the monitoring duration is greater than or equal to a first preset duration, and the PEEP value in the subsequent consecutive second preset durations increases by a preset value compared to the PEEP value in the first preset duration; and

[0017] The minimum oxygen concentration value in the minimum oxygen concentration information is greater than or equal to the first preset duration when the monitoring duration is within or below the specified numerical range, and the concentration value in the subsequent consecutive second preset duration is higher than the concentration value in the first preset duration by a preset value.

[0018] Optionally, before determining whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information meet the first preset condition, the method further includes:

[0019] Determine whether the minimum positive end-expiratory pressure information and the minimum oxygen concentration information meet preset thresholds respectively. If they do, then execute the step of determining whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information meet the first preset condition.

[0020] If the conditions are not met, monitoring will end, and the current monitoring information will be that there are no mechanical ventilation-related complications.

[0021] Optionally, obtaining the second monitoring time range based on the first monitoring time includes:

[0022] Obtain the pre-set second monitoring time range rule;

[0023] The second monitoring time range is obtained based on the first monitoring time and the pre-set second monitoring time range rule.

[0024] Optionally, before obtaining the second monitoring time range based on the first monitoring time, the method further includes:

[0025] Determine whether the first monitoring time is within the monitoring time range. If it is, obtain the second monitoring time range based on the first monitoring time; otherwise, end the monitoring.

[0026] Optionally, the pre-set second monitoring time range rules include a first type of second monitoring time range rules, a second type of second monitoring time range rules, and a third type of second monitoring time range rules;

[0027] Correspondingly, obtaining the second monitoring time range based on the first monitoring time and the pre-set second monitoring time range rule includes:

[0028] A second monitoring time range is obtained based on the first monitoring time and the rule for the first type of second monitoring time range;

[0029] The second monitoring time range is obtained based on the first monitoring time and the second monitoring time range rule of the second category;

[0030] The three types of second monitoring time ranges are obtained based on the first monitoring time and the three types of second monitoring time range rules.

[0031] Optionally, obtaining the daily abnormal body temperature markers or abnormal white blood cell count markers for user visits within the second monitoring time range includes:

[0032] Obtain the initial identifier of the abnormal body temperature and the corresponding monitoring time for body temperature parameters that meet the preset abnormal body temperature threshold;

[0033] Obtain the white blood cell parameter values ​​that meet the preset white blood cell parameter threshold and the corresponding monitoring time;

[0034] Determine whether the initial abnormal body temperature indicator or the white blood cell parameter value meets the fourth preset condition. If it does, obtain the abnormal body temperature indicator or white blood cell value indicator T for each day of the user's visit within the second monitoring time range. If it does not meet the condition, obtain the abnormal body temperature indicator or white blood cell value indicator F for each day of the user's visit within the second monitoring time range.

[0035] The monitoring time refers to each monitoring time within the second monitoring time range.

[0036] Optionally, obtaining the initial identifier of the abnormal body temperature and the corresponding monitoring time for the body temperature parameters that meet the preset abnormal body temperature threshold includes:

[0037] Obtain the user's body temperature information and the second monitoring time range of the first type;

[0038] Based on the user's body temperature information, obtain the body temperature parameters corresponding to each monitoring time within the second monitoring time range of the first type;

[0039] The body temperature parameters corresponding to each monitoring time are compared with a preset abnormal body temperature threshold to obtain the initial abnormal body temperature identifier and the corresponding monitoring time of the body temperature parameters that meet the preset abnormal body temperature threshold.

[0040] Optionally, obtaining the white blood cell parameter values ​​that satisfy the preset white blood cell parameter threshold and the corresponding monitoring time includes:

[0041] Obtain the user's routine detection information and the aforementioned second monitoring time range;

[0042] Based on the user's routine testing information, obtain the white blood cell parameter values ​​corresponding to each monitoring time within the second monitoring time range of the first type;

[0043] The white blood cell parameter values ​​corresponding to each monitoring time are compared with a preset white blood cell parameter threshold to obtain the white blood cell parameter values ​​that meet the preset white blood cell parameter threshold and the corresponding monitoring time.

[0044] Optionally, the fourth preset condition includes the initial identifier of abnormal body temperature or the white blood cell parameter value not being empty.

[0045] Optionally, obtaining the daily pathogen information of users' medical visits within the second monitoring time range includes:

[0046] Obtain the user's microbial detection information and the aforementioned second monitoring time range;

[0047] Based on the user's microbial detection information, obtain the pathogenic bacteria parameter values ​​corresponding to each monitoring time within the second monitoring time range of the first category;

[0048] The pathogenic bacteria parameter values ​​corresponding to each monitoring time are compared with the preset pathogenic bacteria parameter threshold to obtain the pathogenic bacteria parameter values ​​that meet the preset pathogenic bacteria parameter threshold and the corresponding monitoring time, and the pathogenic bacteria parameter values ​​are used as pathogenic bacteria information.

[0049] Optionally, obtaining information on users' continuous use of new antimicrobial drugs daily during the second monitoring time period includes:

[0050] Obtain user medication order information and antimicrobial drug identifier, and filter out user antimicrobial drug order information from the user medication order information based on the antimicrobial drug identifier;

[0051] Based on the user's antimicrobial drug prescription information and the second monitoring time range, obtain the user's antimicrobial drug information within the second monitoring time range;

[0052] Information on the user's continuous use of new antimicrobial drugs is obtained based on the user's antimicrobial drug prescription information, the antimicrobial drug information, and the third type of second monitoring time range.

[0053] Optionally, obtaining information on the user's continuous use of new antimicrobial drugs based on the user's antimicrobial drug prescription information, the antimicrobial drug information, and the third type of second monitoring time range includes:

[0054] Information on the user's use of new candidate antimicrobial drugs is obtained based on the user's antimicrobial drug prescription information, the antimicrobial drug information, and the third type of second monitoring time range;

[0055] Based on the user's information on the use of new candidate antimicrobial drugs, obtain the usage time information of the new candidate antimicrobial drugs;

[0056] Based on the candidate new antimicrobial drug usage time information, determine whether the user has continuous candidate new antimicrobial drug usage time information within the three categories of second monitoring time ranges; if so, obtain the user's continuous use of new antimicrobial drugs information.

[0057] Optionally, information on the user's use of new candidate antimicrobial drugs can be obtained based on the user's antimicrobial drug prescription information, the antimicrobial drug information, and the third-class second monitoring time range, including:

[0058] Obtain the antimicrobial drugs used by the user within the second monitoring time range of the second category and the Class II antimicrobial drug identification of the antimicrobial drugs;

[0059] Based on the user's antimicrobial medication prescription information and the three-category second monitoring time range, obtain the user's antimicrobial medications and the three-category antimicrobial medication identifiers within the three-category second monitoring time range;

[0060] The labels of Class II and Class III antimicrobial drugs are compared to obtain differential antimicrobial drug labels.

[0061] Information on new candidate antimicrobial drugs used by users is obtained based on the differential antimicrobial drug identifier.

[0062] Optionally, the second preset conditions include: whether the abnormal body temperature indicator or abnormal white blood cell count indicator is an abnormal body temperature indicator or abnormal white blood cell count indicator T, and whether the pathogenic bacteria information is not empty, and whether the user's continuous use of new antibacterial drugs information is not empty.

[0063] Optionally, the third preset condition includes: whether the abnormal body temperature indicator or abnormal white blood cell count indicator is an abnormal body temperature indicator or abnormal white blood cell count indicator T, and whether the user's continuous use of new antibacterial drugs information is not a null value.

[0064] Optionally, after determining the current monitoring information as the third monitoring information, the method further includes: determining the current monitoring information as the second monitoring information based on the third monitoring information and the pathogenic bacteria information within the second monitoring time range.

[0065] Optionally, it also includes: determining whether the abnormal body temperature indicator or abnormal white blood cell count indicator, and whether the information on the user's continuous use of new antibacterial drugs meets a third preset condition; if not, then determining the current monitoring information as the first monitoring information.

[0066] This application also provides a mechanical ventilation-related complication monitoring system, including:

[0067] The first information acquisition unit is used to acquire the user's lowest positive end-expiratory pressure and lowest oxygen concentration information for each day of medical visit.

[0068] The first judgment unit is used to determine whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information meet the first preset condition. If they meet the condition, the current monitoring information is determined to be the first monitoring information, and the first monitoring time corresponding to the first monitoring information is determined.

[0069] The second information acquisition unit is used to obtain a second monitoring time range based on the first monitoring time, and to obtain the abnormal body temperature or abnormal white blood cell count, pathogen information, and information on the user's continuous use of new antibacterial drugs for each day of medical visits within the second monitoring time range.

[0070] The second judgment unit is used to determine whether the abnormal body temperature indicator or abnormal white blood cell count indicator, pathogen information, and information on the user's continuous use of new antibacterial drugs meet the second preset condition. If they meet the condition, the current monitoring information is determined to be the second monitoring information. If they do not meet the condition, the second judgment unit is used to determine whether the abnormal body temperature indicator or abnormal white blood cell count indicator, and information on the user's continuous use of new antibacterial drugs meet the third preset condition. If they meet the condition, the current monitoring information is determined to be the third monitoring information.

[0071] This application also provides an electronic device, which includes: a processor; and a memory for storing a computer program, which is executed by the processor to perform the method described in any of the above-mentioned embodiments.

[0072] This application also provides a computer storage medium storing a computer program that is executed by a processor to perform the method described in any of the above-mentioned embodiments.

[0073] Compared with the prior art, this application has the following advantages:

[0074] This application provides a method for monitoring mechanical ventilation-related complications, including: obtaining the lowest positive end-expiratory pressure (PEEP) and lowest oxygen concentration (HOC) information for each day a user visits; determining whether the PEEP and / or HOC information meet a first preset condition; if so, determining the current monitoring information as the first monitoring information, and determining the first monitoring time corresponding to the first monitoring information; obtaining a second monitoring time range based on the first monitoring time, and obtaining the user's abnormal body temperature or abnormal white blood cell count, pathogenic bacteria information, and information on the user's continuous use of new antimicrobial drugs for each day within the second monitoring time range; determining whether the abnormal body temperature or abnormal white blood cell count, pathogenic bacteria information, and information on the user's continuous use of new antimicrobial drugs meet a second preset condition; if so, determining the current monitoring information as the second monitoring information; if not, determining whether the abnormal body temperature or abnormal white blood cell count, and information on the user's continuous use of new antimicrobial drugs meet a third preset condition; if so, determining the current monitoring information as the third monitoring information.

[0075] This application embodiment obtains information on the lowest positive end-expiratory pressure, the lowest oxygen concentration, abnormal body temperature or white blood cell count, pathogenic bacteria, and the user's continuous use of new antimicrobial drugs. It then sets corresponding judgment conditions for each (combination) of this information, combines these information items, and compares them with the corresponding preset (judgment) conditions to accurately determine the information on mechanical ventilation-related complications. Specifically, this application can determine the first, second, and third monitoring information corresponding to the user based on the obtained user information. Compared to existing manual monitoring methods, the method provided in this application improves monitoring efficiency while ensuring the accuracy of the monitoring results. Attached Figure Description

[0076] Figure 1 A flowchart of a method for monitoring mechanical ventilation-related complications provided in the first embodiment of this application.

[0077] Figure 2 This is a schematic diagram of a mechanical ventilation-related complication monitoring system provided in the second embodiment of this application.

[0078] Figure 3 A schematic diagram of an electronic device provided in the third embodiment of this application. Detailed Implementation

[0079] Many specific details are set forth in the following description to provide a thorough understanding of the embodiments of this application. However, the embodiments of this application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the embodiments of this application. Therefore, the embodiments of this application are not limited to the specific implementations disclosed below.

[0080] Mechanical ventilation is an essential life-saving therapy for critically ill patients and those with respiratory diseases. Common complications managed with mechanical ventilation include ventilator-associated pneumonia (VAP), sepsis, acute respiratory distress syndrome (ARDS), pulmonary embolism, barotrauma, and pulmonary edema. Accurate and real-time monitoring of these complications, identifying their specific types, and implementing appropriate control measures can improve patient outcomes.

[0081] In this regard, the first embodiment of this application provides a method for monitoring mechanical ventilation-related complications, so as to improve the timeliness and accuracy of monitoring when monitoring mechanical ventilation-related complications, thereby improving the patient's medical outcomes.

[0082] First Embodiment

[0083] like Figure 1 As shown, Figure 1 This is a flowchart of the method for monitoring mechanical ventilation-related complications provided in the first embodiment of this application. The method for monitoring mechanical ventilation-related complications provided in the first embodiment of this application includes the following steps.

[0084] Step S101: Obtain the lowest positive end-expiratory pressure and lowest oxygen concentration information for each day of the user's medical visit.

[0085] In this step, "user" mainly refers to patients undergoing mechanical ventilation. When a user is undergoing mechanical ventilation, daily medical information will be generated for that user. This information covers a wide range of content, such as: transfer information, intubation information, lowest positive end-expiratory pressure information, lowest oxygen concentration information, body temperature information, medication orders, microbiological test results, and routine test results.

[0086] This step involves monitoring the user, specifying the monitoring time, and utilizing the user's daily medical records to obtain the lowest positive end-expiratory pressure (PEEP) and lowest inhaled oxygen concentration for each day of visit. Specifically, this involves obtaining the user's transfer information and monitoring time, where the monitoring time refers to the period during which the user is monitored for related complications while on mechanical ventilation. In this embodiment, the monitoring time is, for example, January 5, 2022. The transfer information includes at least the user's (patient's) medical record number, department, ward, admission time, and discharge time, as shown in Table 1.

[0087] Patient medical record number Department Enrollment Time Time of completion of course 123456(1) Neurosurgery 2022-01-01 00:00:02 2022-01-10 03:00:02 123456(1) Neurology 2022-01-10 00:00:02 2022-01-22 03:00:02

[0088] Table 1

[0089] After obtaining the user's department transfer information and monitoring time, the user's basic medical information and monitoring time range are obtained based on the department transfer information and monitoring time. The monitoring time range includes the monitoring time itself; in this embodiment, the monitoring time range includes January 2, 2022 to January 6, 2022. The user's basic medical information includes at least the user's (patient's) medical record number, department, admission time, and discharge time. See Table 2 for details.

[0090] Patient medical record number Department Enrollment Time Time of completion of course 123456(1) Neurosurgery 2022-01-01 00:00:02 2022-01-10 03:00:02

[0091] Table 2

[0092] Finally, based on the basic medical information and the monitoring time range, the lowest positive end-expiratory pressure (PEEP) and lowest oxygen concentration (FiO2) information for each day of the user's medical visits within the monitoring time range are obtained. In the first embodiment of this application, the lowest PEEP information refers to the lowest PEEP value of the ventilator, and the lowest oxygen concentration information refers to the FiO2 information of the ventilator. Specific examples are shown in Tables 3 and 4. Table 3 shows the lowest PEEP information for each day of the user's medical visits within the monitoring time range, and Table 4 shows the lowest oxygen concentration information for each day of the user's medical visits within the monitoring time range.

[0093]

[0094]

[0095] Table 3

[0096] Patient medical record number <![CDATA[FiO2 value (%)]]> Recording time 123456(1) 40 2022-01-02 00:00:02 123456(1) 40 2022-01-03 00:08:02 123456(1) 40 2022-01-04 00:08:02 123456(1) 60 2022-01-05 00:08:02 123456(1) 70 2022-01-06 00:08:02

[0097] Table 4

[0098] Step S102: Determine whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information meet the first preset condition. If they meet the condition, determine the current monitoring information as the first monitoring information and determine the first monitoring time corresponding to the first monitoring information.

[0099] After obtaining the user's lowest positive end-expiratory pressure (PEEP) and lowest oxygen concentration information for each day of medical visit, the specific complications corresponding to the current monitoring information can be determined based on the PEEP and oxygen concentration information.

[0100] Specifically, in this embodiment, determining whether the minimum positive end-expiratory pressure (PEEP) information and / or the minimum oxygen concentration (MODC) information meet the first preset condition includes the following three determination methods: Determination Method 1: Determine whether the minimum positive end-expiratory pressure (PEEP) information meets the first preset condition. Determination Method 2: Determine whether the minimum MODC information meets the first preset condition. Determination Method 3: Determine whether the minimum positive end-expiratory pressure (PEEP) information and the minimum MODC information meet the first preset condition. The first preset condition includes: the PEEP value in the minimum positive end-expiratory pressure (PEEP) information is within a specified numerical range or below the specified numerical range for a monitoring duration greater than or equal to a first preset duration, and the PEEP value in subsequent consecutive second preset durations increases by a preset value compared to the PEEP value in the first preset duration. Wherein, the PEEP value in the minimum positive end-expiratory pressure (PEEP) information being within the specified numerical range means that the minimum PEEP value remains stable; being below the specified numerical range means that the minimum PEEP value decreases daily. The first preset duration is set to 2 days, the second preset duration is set to 2 days, and the preset value is 3 PEEP units, i.e., 3 cmH2O. For example, the monitoring period for mechanical ventilation is 1 to 6 days. The first preset duration is set to 2 days, corresponding to the first and second days of mechanical ventilation, with a minimum PEEP value of 5 cmH2O. The second preset duration is also set to 2 days, corresponding to the third and fourth days of mechanical ventilation, with a minimum PEEP value of 8 cmH2O. The first preset condition also includes that the minimum oxygen concentration value in the minimum oxygen concentration information is within a specified range or below the specified range for a monitoring period greater than or equal to the first preset duration, and that the concentration value within the subsequent consecutive second preset durations increases by a preset value compared to the concentration value within the first preset duration. Here, "within the specified range" means the minimum oxygen concentration value remains stable, and "below the specified range" means the minimum oxygen concentration value decreases daily. The first preset duration is set to 2 days, the second preset duration is set to 2 days, and the preset value is a 20% unit value, i.e., 20%. For example, the monitoring period for mechanical ventilation is 1 to 6 days. The first preset duration is set to 2 days, corresponding to the first and second days of mechanical ventilation, with a minimum oxygen concentration of 40% for each day. The second preset duration is also set to 2 days, corresponding to the third and fourth days of mechanical ventilation, with a minimum oxygen concentration of 70% for each day. Then, it is determined whether the minimum positive end-expiratory pressure (PEEP) or the minimum oxygen concentration meets the first preset condition. If it does, the current monitoring information is identified as the first monitoring information, and the corresponding first monitoring time is determined. In the first embodiment of this application, the first monitoring information is VAC (Ventilator-Associated Condition).Determining the first monitoring time corresponding to the first monitoring information includes: obtaining the end time corresponding to the first preset duration and the beginning time corresponding to the second preset duration, and determining the first monitoring time corresponding to the first monitoring information based on the end time and the beginning time. For example, combining the information in Tables 3 and 4 above, the first monitoring time corresponding to the first monitoring information is 2022-01-05.

[0101] It should be noted that before determining whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information meet the first preset condition, the method further includes: determining whether the minimum positive end-expiratory pressure information and the minimum oxygen concentration information respectively meet preset thresholds; if they meet the thresholds, then the step of determining whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information meet the first preset condition is executed; if they do not meet the thresholds, then the monitoring is terminated, and the current monitoring information is obtained as no mechanical ventilation-related complications exist.

[0102] Step S103: Obtain a second monitoring time range based on the first monitoring time, and obtain the abnormal body temperature or abnormal white blood cell count, pathogen information, and information on the user's continuous use of new antibacterial drugs for each day of medical visits within the second monitoring time range.

[0103] After determining the current monitoring information as the first monitoring information and the first monitoring time corresponding to the first monitoring information, a second monitoring time range is obtained based on the first monitoring time, and the abnormal body temperature or abnormal white blood cell count, pathogen information, and information on the user's continuous use of new antibacterial drugs are obtained for each day of medical visit within the second monitoring time range.

[0104] Before obtaining the second monitoring time range based on the first monitoring time, the process further includes: determining whether the first monitoring time falls within the monitoring time range; if so, obtaining the second monitoring time range based on the first monitoring time; if not, ending the monitoring and obtaining the current monitoring information as no mechanical ventilation-related complications. For example, the first monitoring time is January 5, 2022, and the monitoring time range includes January 2, 2022 to January 6, 2022. Whether the first monitoring time falls within the monitoring time range determines the second monitoring time range.

[0105] Specifically, in the first embodiment of this application, obtaining the second monitoring time range based on the first monitoring time includes: obtaining a pre-set second monitoring time range rule, and obtaining the second monitoring time range based on the first monitoring time and the pre-set second monitoring time range rule. In this first embodiment, the pre-set second monitoring time range rule includes a first type of second monitoring time range rule, a second type of second monitoring time range rule, and a third type of second monitoring time range rule. Correspondingly, obtaining the second monitoring time range based on the first monitoring time and the pre-set second monitoring time range rule includes the following three types: obtaining a first type of second monitoring time range based on the first monitoring time and the first type of second monitoring time range rule; obtaining a second type of second monitoring time range based on the first monitoring time and the second type of second monitoring time range rule; and obtaining a third type of second monitoring time range based on the first monitoring time and the third type of second monitoring time range rule. In this first embodiment, if the date corresponding to the first monitoring information is denoted as T2, and the first monitoring time corresponding to the first monitoring information is denoted as T21, then the first type of second monitoring time range rule is [T2-2, T2+1], and the first type of second monitoring time range is denoted as VD1. The second monitoring time range for Category II is [T2-2, T2-1], and is denoted as VD2. The second monitoring time range for Category III is [T2, T2+3], and is denoted as VD3.

[0106] After obtaining the corresponding second monitoring time range, the abnormal body temperature or abnormal white blood cell count, pathogen information, and information on the user's continuous use of new antibacterial drugs are obtained according to the first monitoring time.

[0107] In the first embodiment of this application, obtaining the daily abnormal body temperature or white blood cell count of the user within the second monitoring time range includes: First, obtaining the initial abnormal body temperature marker and corresponding monitoring time for body temperature parameters that meet a preset abnormal body temperature threshold. Specifically, obtaining the user's body temperature information and a second monitoring time range, wherein the body temperature information includes at least the patient's medical record number, body temperature value, recording time, department, etc. The second monitoring time range specifically refers to the dates [T2-2, T2+1] corresponding to the date T2 corresponding to the first monitoring information, i.e., VD1, with a value of [2022-01-03, 2022-01-06]. Then, based on the user's body temperature information, obtaining the body temperature parameters corresponding to each monitoring time within the second monitoring time range, and comparing the body temperature parameters corresponding to each monitoring time with the preset abnormal body temperature threshold to obtain the initial abnormal body temperature marker and corresponding monitoring time for body temperature parameters that meet the preset abnormal body temperature threshold. In the first embodiment of this application, the monitoring time refers to each monitoring time within the second monitoring time range. The preset abnormal body temperature threshold is set to a body temperature greater than 38℃ or less than 36℃. Table 5 shows the initial identifiers of abnormal body temperatures that meet the preset abnormal body temperature threshold, along with the corresponding monitoring times.

[0108] Patient medical record number Body temperature value Recording time 123456(1) 36 2022-01-03 00:00:02 123456(1) 39 2022-01-04 00:08:02 123456(1) 39 2022-01-05 00:18:02 123456(1) 35 2022-01-06 00:08:02

[0109] Table 5

[0110] Then, the white blood cell parameter values ​​that meet the preset white blood cell parameter threshold and the corresponding monitoring time are obtained. Specifically, the user's routine testing information and the first type of second monitoring time range are obtained. The routine test result information includes at least the patient's medical record number, specimen number, specimen, name of the submitting medical order, submitting department, submitting ward, collection time, receiving time, reporting time, review time, test items, test results, qualitative results, abnormality alerts, and multidrug resistance test results. The first type of second monitoring time range is as described above and will not be repeated here. Then, based on the user's routine testing information, the white blood cell parameter values ​​corresponding to each monitoring time within the first type of second monitoring time range are obtained, and the white blood cell parameter values ​​corresponding to each monitoring time are compared with the preset white blood cell parameter threshold to obtain the white blood cell parameter values ​​that meet the preset white blood cell parameter threshold and the corresponding monitoring time. In the first embodiment of this application, the monitoring time refers to each monitoring time within the second monitoring time range. The preset white blood cell parameter threshold is specifically a white blood cell parameter value greater than or equal to 12,000 cells / mm². 3 The white blood cell parameter values ​​that meet the preset white blood cell parameter thresholds and the corresponding monitoring times are shown in Table 6.

[0111] Patient medical record number Medical order for submission Reporting time specimen WBC109 / L 123456(1) Complete blood count (CBC) five-part differential 2022-01-04 00:08:02 Blood 12000 123456(1) Complete blood count (CBC) five-part differential 2022-01-05 00:18:02 Blood 13000

[0112] Table 6

[0113] Finally, it is determined whether the initial abnormal body temperature marker or the white blood cell parameter value meets the fourth preset condition. If it does, the daily abnormal body temperature marker or white blood cell value marker T for the user's medical visits within the second monitoring time range is obtained; if it does not meet the condition, the daily abnormal body temperature marker or white blood cell value marker F for the user's medical visits within the second monitoring time range is obtained. In the first embodiment of this application, the fourth preset condition includes that the initial abnormal body temperature marker or the white blood cell parameter value is not a null value. The above is a detailed explanation of obtaining the daily abnormal body temperature marker or white blood cell value marker for the user's medical visits within the second monitoring time range.

[0114] In the first embodiment of this application, obtaining the pathogenic bacteria information of a user's daily medical visits within the second monitoring time range includes: First, obtaining the user's microbial testing information and the aforementioned second monitoring time range. The microbial testing information includes at least the patient's medical record number, specimen number, specimen, name of the medical order for submission, submitting department, submitting ward, collection time, receiving time, reporting time, review time, testing items, testing results, qualitative results, abnormality alerts, and multidrug resistance results. The specific details of the second monitoring time range are as described above and will not be repeated here. Then, based on the user's microbial testing information, the pathogenic bacteria parameter values ​​corresponding to each monitoring time within the second monitoring time range are obtained. These pathogenic bacteria parameter values ​​are then compared with a preset pathogenic bacteria parameter threshold to obtain the pathogenic bacteria parameter values ​​that meet the preset threshold and their corresponding monitoring times. The pathogenic bacteria parameter values ​​are then used as pathogenic bacteria information. The pathogenic bacteria information obtained within the second monitoring time range for each day of medical visits is shown in Table 7.

[0115] Patient medical record number Medical order for submission Reporting time specimen bacteria 123456(1) sputum culture 2022-01-04 00:10:02 sputum Acinetobacter baumannii 123456(1) Bacterial culture 2022-01-05 00:10:02 lung tissue Escherichia coli

[0116] Table 7

[0117] In the first embodiment of this application, obtaining information on the continuous use of new antimicrobial drugs by users during daily visits within the second monitoring time range includes: obtaining user medication order information and antimicrobial drug identifiers, and filtering user antimicrobial drug order information from the user medication order information based on the antimicrobial drug identifiers. The user medication order information includes at least the patient's medical record number, order name, order type, order category, order subcategory, order status, issuing department, issuing doctor, order start time, order end time, purpose of use, control category, antibiotic symbol, and order remarks. User antimicrobial drug order information is shown in Table 8.

[0118]

[0119] Table 8

[0120] Then, based on the user's antimicrobial medication prescription information and the second monitoring time range, the user's antimicrobial medication information within the second monitoring time range is obtained. Specifically, the second monitoring time range is the date [T2-2, T2-1] two days before the date T2 corresponding to the first monitoring information, i.e., VD2, with a value of [2022-01-03, 2022-01-04]. In this embodiment, the antimicrobial medication information is shown in Table 9.

[0121]

[0122] Table 9

[0123] After obtaining the user's antimicrobial medication prescription information and antimicrobial drug information, information on the user's continuous use of new antimicrobial drugs is obtained based on the user's antimicrobial medication prescription information, the antimicrobial drug information, and the third-class second monitoring time range. Specifically, firstly, information on the user's use of new candidate antimicrobial drugs is obtained based on the user's antimicrobial medication prescription information, the antimicrobial drug information, and the third-class second monitoring time range. Specifically, the user's antimicrobial drugs and their Class II antimicrobial drug identifiers within the Class II second monitoring time range are obtained. Then, based on the user's antimicrobial medication prescription information and the third-class second monitoring time range, the user's antimicrobial drugs and their Class III antimicrobial drug identifiers within the Class III second monitoring time range are obtained. The Class II and Class III antimicrobial drug identifiers are compared to obtain a differential antimicrobial drug identifier, and information on the user's use of new candidate antimicrobial drugs is obtained based on this differential antimicrobial drug identifier. Then, based on the user's information on new candidate antimicrobial drugs, the usage time information of the new candidate antimicrobial drugs is obtained. Based on this usage time information, it is determined whether the user has continuous usage time information for the new candidate antimicrobial drugs within the three categories of second monitoring time ranges. If so, the user's continuous use of new antimicrobial drugs is obtained. Specifically, in this step, the three categories of second monitoring time ranges are the dates [T2, T2+3] four days after the date T2 corresponding to the first monitoring information, i.e., VD3, with values ​​[2022-01-05, 2022-01-08]. Continuous usage time information for the new candidate antimicrobial drugs includes dates with an interval of no more than one day between new antimicrobial drug use dates. In the first embodiment of this application, the user's continuous use of new antimicrobial drugs for each day of medical visits within the second monitoring time range is shown in Table 10.

[0124]

[0125]

[0126] Table 10

[0127] Step S104: Determine whether the abnormal body temperature indicator or abnormal white blood cell count indicator, pathogen information, and information on the user's continuous use of new antibacterial drugs meet the second preset condition. If they meet the condition, the current monitoring information is determined as the second monitoring information. If they do not meet the condition, determine whether the abnormal body temperature indicator or abnormal white blood cell count indicator, and information on the user's continuous use of new antibacterial drugs meet the third preset condition. If they meet the condition, the current monitoring information is determined as the third monitoring information.

[0128] After obtaining the daily abnormal body temperature or abnormal white blood cell count, pathogen information, and information on the user's continuous use of new antimicrobial drugs within the second monitoring time range, it is determined whether the abnormal body temperature or abnormal white blood cell count, pathogen information, and information on the user's continuous use of new antimicrobial drugs meet a second preset condition. If they do, the current monitoring information is determined to be the second monitoring information. The second preset condition includes whether the abnormal body temperature or abnormal white blood cell count is "T", and whether the pathogen information is not null, and whether the information on the user's continuous use of new antimicrobial drugs is not null. The second monitoring information is VAP (ventilator-associated pneumonia). If not, it is determined whether the abnormal body temperature or abnormal white blood cell count, and information on the user's continuous use of new antimicrobial drugs meet a third preset condition. If they do, the current monitoring information is determined to be the third monitoring information. The third preset condition includes whether the abnormal body temperature or abnormal white blood cell count is "T", and whether the information on the user's continuous use of new antimicrobial drugs is not null. The third monitoring information is IVAC (Infection-related Ventilator-Associated Complication). If this is not met, the current monitoring information is determined to be the first monitoring information. The first monitoring information is VAC (Ventilator-Associated Condition).

[0129] In the first embodiment of this application, after determining that the current monitoring information is the third monitoring information, the method further includes determining that the current monitoring information is the second monitoring information based on the third monitoring information and the pathogenic bacteria information within the second monitoring time range. In other words, if pathogenic bacteria information is detected within the second monitoring time range based on the third monitoring information, then the current monitoring information is determined to be the second monitoring information.

[0130] The first embodiment of this application provides a method for monitoring mechanical ventilation-related complications, including: obtaining the lowest positive end-expiratory pressure (PEEP) and lowest oxygen concentration (HOC) information of a user's daily medical visits; determining whether the PEEP and / or HOC information meet a first preset condition; if so, determining the current monitoring information as the first monitoring information, and determining the first monitoring time corresponding to the first monitoring information; obtaining a second monitoring time range based on the first monitoring time, and obtaining the user's daily abnormal body temperature indicator or abnormal white blood cell count indicator, pathogen information, and information on the user's continuous use of new antimicrobial drugs within the second monitoring time range; determining whether the abnormal body temperature indicator or abnormal white blood cell count indicator, pathogen information, and information on the user's continuous use of new antimicrobial drugs meet a second preset condition; if so, determining the current monitoring information as the second monitoring information; if not, determining whether the abnormal body temperature indicator or abnormal white blood cell count indicator, and information on the user's continuous use of new antimicrobial drugs meet a third preset condition; if so, determining the current monitoring information as the third monitoring information.

[0131] The first embodiment of this application obtains information on the lowest positive end-expiratory pressure, the lowest oxygen concentration, abnormal body temperature or white blood cell count, pathogenic bacteria, and the user's continuous use of new antimicrobial drugs. It then sets corresponding judgment conditions for each (combination) of this information, combines these information items, and compares them with the corresponding preset (judgment) conditions to accurately determine the information on mechanical ventilation-related complications. Specifically, this application can determine the first, second, and third monitoring information corresponding to the user based on the obtained user information. Compared to existing manual monitoring methods, the method provided in this application improves monitoring efficiency while ensuring the accuracy of the monitoring results.

[0132] Second Embodiment

[0133] Corresponding to the method for monitoring mechanical ventilation-related complications provided in the first embodiment of this application, the second embodiment of this application provides a system for monitoring mechanical ventilation-related complications. Since the system embodiment is basically similar to the first embodiment, the description is relatively simple; relevant details can be found in the description of the first embodiment. The system embodiments described below are merely illustrative.

[0134] Please refer to Figure 2This is a schematic diagram of a mechanical ventilation-related complication monitoring system provided in the second embodiment of this application. The mechanical ventilation-related complication monitoring system includes: a first information acquisition unit 201, used to acquire the lowest positive end-expiratory pressure (PEEP) and lowest oxygen concentration (HOC) information of the user each day during their medical visit; a first judgment unit 202, used to judge whether the PEEP information and / or the HOC information meet a first preset condition; if so, to determine the current monitoring information as the first monitoring information, and to determine the first monitoring time corresponding to the first monitoring information; and a second information acquisition unit 203, used to obtain a second monitoring time range based on the first monitoring time, and to obtain information within the second monitoring time range... The system monitors the user's daily abnormal body temperature or white blood cell count, pathogenic bacteria information, and information on the user's continuous use of new antimicrobial drugs. A second judgment unit 204 determines whether the abnormal body temperature or white blood cell count, pathogenic bacteria information, and information on the user's continuous use of new antimicrobial drugs meet a second preset condition. If they do, the current monitoring information is determined as the second monitoring information. If not, it determines whether the abnormal body temperature or white blood cell count, and information on the user's continuous use of new antimicrobial drugs meet a third preset condition. If they do, the current monitoring information is determined as the third monitoring information.

[0135] Third Embodiment

[0136] Corresponding to the method of the first embodiment of this application, the third embodiment of this application also provides an electronic device. For example... Figure 3 As shown, Figure 3 This is a schematic diagram of an electronic device provided in the third embodiment of this application. The electronic device includes: at least one processor 301, at least one communication interface 302, at least one memory 303, and at least one communication bus 304. Optionally, the communication interface 302 can be an interface for a communication module, such as the interface for a GSM module. The processor 301 may be a CPU, an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The memory 303 may include high-speed RAM and may also include non-volatile memory, such as at least one disk storage device. The memory 303 stores a program, and the processor 301 calls the program stored in the memory 303 to execute the method of the first embodiment of this application.

[0137] Fourth embodiment

[0138] Corresponding to the method provided in the first embodiment of this application, the fourth embodiment of this application also provides a computer storage medium storing a computer program, which is executed by a processor to perform the method provided in the first embodiment of this application.

[0139] Although this application discloses preferred embodiments as described above, it is not intended to limit this application. Any person skilled in the art can make possible changes and modifications without departing from the spirit and scope of this application. Therefore, the scope of protection of this application should be determined by the scope defined in the claims of this application.

[0140] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0141] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0142] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include non-transitory computer-readable media, such as modulated data signals and carrier waves.

[0143] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

Claims

1. A method for monitoring mechanical ventilation-related complications, characterized in that, include: Obtain the user's lowest positive end-expiratory pressure and lowest oxygen concentration information for each day of medical visit; Determine whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information meet the first preset condition. If they do, determine the current monitoring information as the first monitoring information and determine the first monitoring time corresponding to the first monitoring information. Based on the first monitoring time, a second monitoring time range is obtained, and the abnormal body temperature or abnormal white blood cell count, pathogen information, and information on the user's continuous use of new antibacterial drugs are obtained for each day of the user's medical visit within the second monitoring time range. Determine whether the abnormal body temperature indicator or abnormal white blood cell count indicator, pathogen information, and information on the user's continuous use of new antibacterial drugs meet the second preset condition. If they do, then the current monitoring information is determined as the second monitoring information. If they do not meet the condition, determine whether the abnormal body temperature indicator or abnormal white blood cell count indicator, and information on the user's continuous use of new antibacterial drugs meet the third preset condition. If they do, then the current monitoring information is determined as the third monitoring information.

2. The method for monitoring mechanical ventilation-related complications according to claim 1, characterized in that, The acquisition of the user's lowest positive end-expiratory pressure and lowest oxygen concentration information for each day of medical visit includes: Obtain information on the user's course of study and monitoring time; Based on the transfer information and monitoring time, the user's basic medical information and monitoring time range are obtained; the monitoring time range includes the monitoring time. Based on the basic medical information and the monitoring time range, the lowest positive end-expiratory pressure and lowest oxygen concentration information for each day of the user's medical visit within the monitoring time range are obtained.

3. The method for monitoring mechanical ventilation-related complications according to claim 2, characterized in that, The first preset conditions include: The PEEP value in the minimum positive end-expiratory pressure information is within a specified range and the monitoring duration is greater than or equal to a first preset duration, and the PEEP value in the subsequent consecutive second preset durations increases by a preset value compared to the PEEP value in the first preset duration; and The minimum oxygen concentration value in the minimum oxygen concentration information is greater than or equal to the first preset duration when the monitoring duration is within or below the specified numerical range, and the concentration value in the subsequent consecutive second preset duration is higher than the concentration value in the first preset duration by a preset value.

4. The method for monitoring mechanical ventilation-related complications according to claim 2, characterized in that, Before determining whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information meet the first preset condition, the method further includes: Determine whether the minimum positive end-expiratory pressure information and the minimum oxygen concentration information meet preset thresholds respectively. If they do, then execute the step of determining whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information meet the first preset condition. If the conditions are not met, monitoring will end, and the current monitoring information will be that there are no mechanical ventilation-related complications.

5. The method for monitoring mechanical ventilation-related complications according to claim 2, characterized in that, The step of obtaining the second monitoring time range based on the first monitoring time includes: Obtain the pre-set second monitoring time range rule; The second monitoring time range is obtained based on the first monitoring time and the pre-set second monitoring time range rule.

6. The method for monitoring mechanical ventilation-related complications according to claim 5, characterized in that, Before obtaining the second monitoring time range based on the first monitoring time, the method further includes: Determine whether the first monitoring time is within the monitoring time range. If it is, obtain the second monitoring time range based on the first monitoring time; otherwise, end the monitoring.

7. The method for monitoring mechanical ventilation-related complications according to claim 5, characterized in that, The pre-set second monitoring time range rules include a first type of second monitoring time range rules, a second type of second monitoring time range rules, and a third type of second monitoring time range rules; Correspondingly, obtaining the second monitoring time range based on the first monitoring time and the pre-set second monitoring time range rule includes: A second monitoring time range is obtained based on the first monitoring time and the rule for the first type of second monitoring time range; The second monitoring time range is obtained based on the first monitoring time and the second monitoring time range rule of the second category; The three types of second monitoring time ranges are obtained based on the first monitoring time and the three types of second monitoring time range rules.

8. The method for monitoring mechanical ventilation-related complications according to claim 7, characterized in that, The process of obtaining the daily abnormal body temperature or abnormal white blood cell count indicators for users within the second monitoring time range includes: Obtain the initial identifier of the abnormal body temperature and the corresponding monitoring time for body temperature parameters that meet the preset abnormal body temperature threshold; Obtain the white blood cell parameter values ​​that meet the preset white blood cell parameter thresholds and the corresponding monitoring time; Determine whether the initial abnormal body temperature indicator or the white blood cell parameter value meets the fourth preset condition. If it does, obtain the abnormal body temperature indicator or white blood cell value indicator T for each day of the user's visit within the second monitoring time range. If it does not meet the condition, obtain the abnormal body temperature indicator or white blood cell value indicator F for each day of the user's visit within the second monitoring time range. The monitoring time refers to each monitoring time within the second monitoring time range.

9. The method for monitoring mechanical ventilation-related complications according to claim 8, characterized in that, The process of obtaining the initial identifier of the abnormal body temperature and the corresponding monitoring time for body temperature parameters that meet the preset abnormal body temperature threshold includes: Obtain the user's body temperature information and the second monitoring time range of the first type; Based on the user's body temperature information, obtain the body temperature parameters corresponding to each monitoring time within the second monitoring time range of the first type; The body temperature parameters corresponding to each monitoring time are compared with a preset abnormal body temperature threshold to obtain the initial abnormal body temperature identifier and the corresponding monitoring time of the body temperature parameters that meet the preset abnormal body temperature threshold.

10. The method for monitoring mechanical ventilation-related complications according to claim 8, characterized in that, The process of obtaining the white blood cell parameter values ​​that satisfy the preset white blood cell parameter threshold and the corresponding monitoring time includes: Obtain the user's routine detection information and the aforementioned second monitoring time range; Based on the user's routine testing information, obtain the white blood cell parameter values ​​corresponding to each monitoring time within the second monitoring time range of the first type; The white blood cell parameter values ​​corresponding to each monitoring time are compared with a preset white blood cell parameter threshold to obtain the white blood cell parameter values ​​that meet the preset white blood cell parameter threshold and the corresponding monitoring time.

11. The method for monitoring mechanical ventilation-related complications according to claim 8, characterized in that, The fourth preset condition includes either the initial identifier of abnormal body temperature or the white blood cell parameter value not being empty.

12. The method for monitoring mechanical ventilation-related complications according to claim 7, characterized in that, The acquisition of pathogen information for each day of a user's medical visit within the second monitoring time range includes: Obtain the user's microbial detection information and the aforementioned second monitoring time range; Based on the user's microbial detection information, obtain the pathogenic bacteria parameter values ​​corresponding to each monitoring time within the second monitoring time range of the first category; The pathogenic bacteria parameter values ​​corresponding to each monitoring time are compared with preset pathogenic bacteria parameter thresholds to obtain pathogenic bacteria parameter values ​​and corresponding monitoring times that meet the preset pathogenic bacteria parameter thresholds, and the pathogenic bacteria parameter values ​​are used as pathogenic bacteria information.

13. The method for monitoring mechanical ventilation-related complications according to claim 7, characterized in that, The acquisition of user information on continuous use of new antimicrobial drugs during daily visits within the second monitoring time range includes: Obtain user medication order information and antimicrobial drug identifier, and filter out user antimicrobial drug order information from the user medication order information based on the antimicrobial drug identifier; Based on the user's antimicrobial drug prescription information and the second monitoring time range, obtain the user's antimicrobial drug information within the second monitoring time range; Information on the user's continuous use of new antimicrobial drugs is obtained based on the user's antimicrobial drug prescription information, the antimicrobial drug information, and the third type of second monitoring time range.

14. The method for monitoring mechanical ventilation-related complications according to claim 13, characterized in that, The step of obtaining information on the user's continuous use of new antimicrobial drugs based on the user's antimicrobial drug prescription information, the antimicrobial drug information, and the three types of second monitoring time ranges includes: Information on the user's use of new candidate antimicrobial drugs is obtained based on the user's antimicrobial drug prescription information, the antimicrobial drug information, and the third type of second monitoring time range; Based on the user's information on the use of new candidate antimicrobial drugs, obtain the usage time information of the new candidate antimicrobial drugs; Based on the candidate new antimicrobial drug usage time information, determine whether the user has continuous candidate new antimicrobial drug usage time information within the three categories of second monitoring time ranges; if so, obtain the user's continuous use of new antimicrobial drugs information.

15. The method for monitoring mechanical ventilation-related complications according to claim 14, characterized in that, Information on new candidate antimicrobial drugs used by the user is obtained based on the user's antimicrobial drug prescription information, the antimicrobial drug information, and the third-class second monitoring time range, including: Obtain the antimicrobial drugs used by the user within the second monitoring time range of the second category and the Class II antimicrobial drug identification of the antimicrobial drugs; Based on the user's antimicrobial medication prescription information and the three-category second monitoring time range, obtain the user's antimicrobial medications and the three-category antimicrobial medication identifiers within the three-category second monitoring time range; The labels of Class II and Class III antimicrobial drugs are compared to obtain differential antimicrobial drug labels. Information on new candidate antimicrobial drugs used by users is obtained based on the differential antimicrobial drug identifier.

16. The method for monitoring mechanical ventilation-related complications according to claim 8, characterized in that, The second preset conditions include: whether the abnormal body temperature indicator or abnormal white blood cell count indicator is an abnormal body temperature indicator or abnormal white blood cell count indicator T, and whether the pathogen information is not empty, and whether the user's information on continuous use of new antibacterial drugs is not empty.

17. The method for monitoring mechanical ventilation-related complications according to claim 8, characterized in that, The third preset condition includes: whether the abnormal body temperature indicator or abnormal white blood cell count indicator is an abnormal body temperature indicator or abnormal white blood cell count indicator T, and whether the user's continuous use of new antibacterial drugs information is not a null value.

18. The method for monitoring mechanical ventilation-related complications according to claim 17, characterized in that, After determining the current monitoring information as the third monitoring information, the method further includes: determining the current monitoring information as the second monitoring information based on the third monitoring information and the pathogenic bacteria information within the second monitoring time range.

19. The method for monitoring mechanical ventilation-related complications according to claim 1, characterized in that, Also includes: Determine whether the abnormal body temperature indicator or abnormal white blood cell count indicator, as well as the user's continuous use of new antibacterial drugs, meet the third preset condition. If not, determine the current monitoring information as the first monitoring information.

20. A monitoring system for mechanical ventilation-related complications, characterized in that, include: The first information acquisition unit is used to acquire the user's lowest positive end-expiratory pressure and lowest oxygen concentration information for each day of medical visit. The first judgment unit is used to determine whether the minimum positive end-expiratory pressure information and / or the minimum oxygen concentration information meet the first preset condition. If they meet the condition, the current monitoring information is determined to be the first monitoring information, and the first monitoring time corresponding to the first monitoring information is determined. The second information acquisition unit is used to obtain a second monitoring time range based on the first monitoring time, and to obtain the abnormal body temperature or abnormal white blood cell count, pathogen information, and information on the user's continuous use of new antibacterial drugs for each day of medical visits within the second monitoring time range. The second judgment unit is used to determine whether the abnormal body temperature indicator or abnormal white blood cell count indicator, pathogen information, and information on the user's continuous use of new antibacterial drugs meet the second preset condition. If they meet the condition, the current monitoring information is determined to be the second monitoring information. If they do not meet the condition, the second judgment unit is used to determine whether the abnormal body temperature indicator or abnormal white blood cell count indicator, and information on the user's continuous use of new antibacterial drugs meet the third preset condition. If they meet the condition, the current monitoring information is determined to be the third monitoring information.

21. An electronic device, characterized in that, The electronic device includes: a processor; and a memory for storing a computer program, which is executed by the processor to perform the method according to any one of claims 1-19.

22. A computer storage medium, characterized in that, The computer storage medium stores a computer program that is executed by a processor to perform the method described in any one of claims 1-19.

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