Medical ventilation system, information display method thereof and electronic equipment

Abstract

The embodiment of the invention provides a medical ventilation system, an information display method of the medical ventilation system and electronic equipment. The method comprises the following steps: acquiring associated information about whether a monitoring object is subjected to offline operation or not; determining a plurality of influence factors and influence degrees corresponding to the influence factors according to the associated information, wherein the influence degree corresponding to one influence factor is used for indicating the influence degree of the influence factor on offline success or offline failure; determining and displaying offline prompt information according to the influence degree corresponding to each influence factor; determining and displaying a target influence factor according to the influence degree corresponding to each influence factor, wherein the target influence factor comprises at least one of multiple influence factors; and acquiring updated associated information, and updating the displayed offline prompt information and / or the target influence factor according to the updated associated information. The guidance can be provided for timely evacuation of medical ventilation equipment such as a breathing machine by refreshing and displaying the offline prompt information and the target influence factor.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical equipment, in particular to a medical ventilation system, an information display method thereof and an electronic device. BACKGROUND

[0002] Human respiration refers to periodically and rhythmically inhaling and exhaling gas, absorbing oxygen and discharging carbon dioxide, so as to realize gas exchange. When some patients cannot breathe autonomously, mechanical ventilation can be used to help the patients complete respiration; for example, for patients who cannot breathe autonomously, a medical ventilation device such as an external breathing machine can be used to provide breathing support for the patients.

[0003] When the cause of requiring a breathing machine is removed and the patient recovers the ability to breathe autonomously, timely withdrawal of the breathing machine is very important for the patient to recover and reduce complications. At present, the timing of withdrawing the breathing machine is usually determined by medical staff according to experience, and the requirement for medical staff is relatively high. SUMMARY

[0004] The present application provides a medical ventilation system, an information display method thereof and an electronic device, which can provide guidance for timely withdrawal of a medical ventilation device such as a breathing machine by refreshing and displaying offline prompt information and target influence factors.

[0005] In a first aspect, an information display method of a medical ventilation system is provided, comprising:

[0006] obtaining associated information of performing offline or not operation on a monitoring object, the associated information comprising at least one of the following: physiological information of the monitoring object, ventilation parameter information of a medical ventilation device used by the monitoring object, and treatment information for the monitoring object;

[0007] determining a plurality of influence factors and an influence degree corresponding to each of the influence factors according to the associated information, wherein the influence factors are selected from the associated information or determined according to a plurality of the associated information, and the influence degree corresponding to one influence factor is used to indicate the influence degree of the influence factor on offline success or offline failure;

[0008] determining and displaying offline prompt information according to the influence degree corresponding to each of the influence factors;

[0009] determining and displaying a target influence factor according to the influence degree corresponding to each of the influence factors, the target influence factor comprising at least one of the plurality of influence factors;

[0010] obtaining updated associated information, and updating the displayed offline prompt information and / or the target influence factor according to the updated associated information.

[0011] In a second aspect, the embodiments of the present application provide a method for displaying information of a medical ventilation system, comprising:

[0012] obtaining associated information of switching to invasive ventilation for a monitoring object, the associated information comprising at least one of physiological information of the monitoring object, ventilation parameter information of a medical ventilation device used by the monitoring object, and treatment information for the monitoring object;

[0013] determining a plurality of influence factors and an influence degree corresponding to each of the influence factors according to the associated information, wherein the influence factors are selected from the associated information or determined according to a plurality of the associated information, and the influence degree corresponding to one influence factor is used to indicate an influence degree of the influence factor on whether to switch to invasive ventilation;

[0014] determining and displaying switching prompt information according to the influence degree corresponding to each of the influence factors;

[0015] determining and displaying a target influence factor according to the influence degree corresponding to each of the influence factors, the target influence factor comprising at least one of the plurality of influence factors;

[0016] obtaining updated associated information, and updating the displayed switching prompt information and / or the target influence factor according to the updated associated information.

[0017] In a third aspect, the embodiments of the present application provide an electronic device, comprising:

[0018] one or more processors working individually or jointly to perform:

[0019] the steps of the method for displaying information of the medical ventilation system.

[0020] In a fourth aspect, the embodiments of the present application provide a medical ventilation device, comprising:

[0021] a pressure generating device;

[0022] a ventilation pipeline, the pressure generating device being configured to communicate with the ventilation pipeline to provide ventilation to a monitoring object through the ventilation pipeline;

[0023] a display;

[0024] a processor, the processor being configured to perform the steps of the method for displaying information of the medical ventilation system.

[0025] In a fifth aspect, the embodiments of the present application provide a computer readable storage medium, the computer readable storage medium storing a computer program, the computer program being executed by a processor to cause the processor to implement the steps of the above method.

[0026] The embodiment of the present application provides a medical ventilation system and an information display method thereof, and an electronic device and a method. In a clinical actual application scene, the method can provide guidance for timely evacuation of a medical ventilation device such as a breathing machine by refreshing display offline prompt information and target influence factors.

[0027] It should be understood that the foregoing general description and the following detailed description are only exemplary and explanatory, and cannot limit the disclosure of the embodiment of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0028] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0029] Figure 1 FIG. 1 is a flow diagram of an information display method of a medical ventilation system provided by the embodiment of the present application;

[0030] Figure 2 FIG. 2 is a schematic block diagram of a medical ventilation system in an embodiment of the present application;

[0031] Figures 3a to 3b FIG. 3 is a schematic diagram of an association information input interface in some embodiments of the present application;

[0032] Figures 4a to 4b FIG. 4 is a schematic diagram of the influence degree of an influence factor on the offline success rate in some embodiments;

[0033] Figures 4c to 4d FIG. 5 is a schematic diagram of display of offline prompt information in some embodiments of the present application;

[0034] Figure 5a FIG. 6 is a schematic diagram of the influence degree of an influence factor on the offline failure risk in some embodiments of the present application;

[0035] Figure 5b FIG. 7 is a schematic diagram of display of offline prompt information in another embodiment of the present application;

[0036] Figure 6 FIG. 8 is a schematic diagram of determination of operation suggestions according to influence factors in some embodiments of the present application;

[0037] Figures 7a to 7e FIG. 9 is a schematic diagram of display of target influence factors in some embodiments of the present application;

[0038] Figures 8a to 8b FIG. 10 is a schematic diagram of display of a change trend graph of the offline failure risk in some embodiments of the present application;

[0039] Figure 9 is a schematic diagram of a prompt interface of a ventilation strategy assessment function in some implementation modes;

[0040] Figure 10 is a flow chart of a method for displaying information of a medical ventilation system provided in another embodiment of the present application;

[0041] Figure 11 This is a schematic block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0043] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined, or partially merged, so the actual execution order may vary depending on the actual situation.

[0044] The following describes some embodiments of the present application in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features therein may be combined with each other.

[0045] See also Figure 1 , Figure 1 This is a flow chart of a method for displaying information in a medical ventilation system, as provided in an embodiment of the present application. The method can be applied in a medical ventilation system, such as in medical ventilation equipment and / or electronic devices, to provide guidance for timely removal of ventilators (offline), administration of anesthetics, and switching to invasive ventilation equipment by displaying offline prompt information and target impact factors.

[0046] For example, an electronic device can communicate with a medical ventilation device to obtain ventilation parameter information from the medical ventilation device. Offline prompt information and target impact factors obtained after processing the ventilation parameter information can be displayed on the electronic device's display and / or transmitted to the medical ventilation device for display. The electronic device includes, for example, a terminal device or a server. The terminal device can be a mobile phone, tablet computer, laptop computer, desktop computer, personal digital assistant, etc.; the server can be a standalone server or a server cluster.

[0047] Figure 2Fig. 1 is a schematic diagram of a scenario of a method for displaying information of a medical ventilation system according to an embodiment of the present application. For the purpose of illustration, the method for displaying information is mainly described in the context of a medical ventilation device.

[0048] As shown in Figure 2 the medical ventilation device comprises a pressure generating device 10 and a ventilation conduit 20, the pressure generating device 10 is configured to communicate with the ventilation conduit 20 to provide ventilation to a monitoring subject through the ventilation conduit 20.

[0049] In some embodiments, the pressure generating device 10 is configured to communicate the ventilation conduit 20 with a gas source (not shown in the figure) to deliver gas provided by the gas source to the monitoring subject through the ventilation conduit 20, the gas provided by the gas source can be oxygen and air, etc. In some embodiments, the gas source can be a compressed gas cylinder or a central gas supply source. In some embodiments, the pressure generating device 10 can deliver ambient air to the monitoring subject. The pressure generating device 10 can provide power to the monitoring subject to maintain airway patency. In specific embodiments, the pressure generating device 10 generally comprises a machine-controlled ventilation module, the airflow duct of the machine-controlled ventilation module is in communication with the ventilation conduit 20 to provide power for breathing of the monitoring subject.

[0050] The ventilation conduit 20 can comprise a non-invasive interface device worn at the breathing part of the monitoring subject, which can be a mask, etc.

[0051] Specifically, the medical ventilation device further comprises one or more processors 30, which work individually or collectively to execute the steps of the method for displaying information of the medical ventilation system of the medical ventilation device according to an embodiment of the present application. For example, the medical ventilation device further comprises a memory 40, and the processor 30 is connected to the memory 40. The memory 40 can be a tangible and non-transitory computer readable medium, such as a flash memory, a RAM, a ROM, an EEPROM, etc. The processor 30 is configured to execute a computer program stored in the memory, and when executing the computer program, implement the steps of the method for displaying information of the medical ventilation system of any of the medical ventilation devices according to an embodiment of the present application.

[0052] The medical ventilation device further comprises a display 50, which can display preset information, such as a calculation or judgment result generated by the processor 30 by processing received data, or generated visual data or graphics. The display 50 can be a display 50 with or without touch screen function. When the display 50 has touch screen function, it can receive input of a user based on touch and / or contact to realize human-computer interaction. When the display 50 does not have touch screen function, it can also receive input of a user through a mouse, a keyboard, etc. to realize human-computer interaction.

[0053] The medical ventilation device can further include a sensor 60. The sensor 60 is configured to monitor ventilation parameters and / or physiological parameters in the process of providing ventilation to the monitoring subject, so as to obtain monitoring data of a plurality of monitoring parameters. For example, the sensor 60 can include, but is not limited to, a flow sensor and / or a pressure sensor arranged in the ventilation pipeline 20, for monitoring gas flow and / or pressure in the ventilation pipeline 20, respectively. In some embodiments, the sensor 60 can further include an amplification circuit, a filtering circuit and an A / D conversion circuit, for amplifying, filtering and A / D converting the input analog signals, respectively. Of course, it should be understood by those skilled in the art that the connection relationship among the amplification circuit, the filtering circuit and the A / D conversion circuit can be changed according to the specific design of the circuit, and one of the three circuits can be reduced, for example, the amplification circuit or the filtering circuit can be reduced, so as to reduce the corresponding function.

[0054] As shown in FIG. 1, the information display method of the medical ventilation system according to the embodiments of the present application includes steps S110 to S150. Figure 1

[0055] In step S110, associated information of performing offline or not operation on the monitoring subject is acquired, and the associated information includes at least one of physiological information of the monitoring subject, ventilation parameter information of the medical ventilation device used by the monitoring subject, and treatment information for the monitoring subject.

[0056] In some embodiments, the associated information can include instant data such as tidal volume, respiratory rate, etc., and can also include non-instant data such as blood gas analysis results, blood routine results, etc.

[0057] In some embodiments, the physiological information of the monitoring subject includes, but is not limited to, at least one of the following: basic information, physiological parameter information, test information, and illness information. For example, the basic information includes, but is not limited to, at least one of the following: age, gender, height, weight; the physiological parameter information includes, but is not limited to, at least one of the following: heart rate (HR), respiratory rate (RR), blood pressure (BP), transcutaneous finger pulse oxygen saturation, end-tidal carbon dioxide partial pressure; the test information includes, but is not limited to, at least one of the following: blood gas analysis results, blood routine results; and the illness information includes, but is not limited to, at least one of the following: diagnosis results, past medical history, APACHE II score, GCS (Glasgow Coma) score, SOFA score, state of consciousness, sedation score, sputum cough intensity. The treatment information for the monitoring subject can include medication information (such as the amount of vasoactive drugs), but is not limited thereto.

[0058] ​The ventilation parameter information of the medical ventilation device includes, but is not limited to, at least one of the following: tidal volume (Vt), respiratory rate, PEEP (Positive End-expiratory Pressure), inhaled oxygen concentration (FiO2), lung compliance, airway resistance, patient spontaneous breathing effort intensity, and patient spontaneous breathing work.

[0059] Optionally, the step S110 of acquiring the associated information of the off-line operation performed on the monitoring object can include: acquiring the associated information input by a user.

[0060] For example, Figure 3a or Figure 3b The method further includes: displaying a parameter setting interface through the display, the parameter setting interface including an input area of at least one associated information; and the acquiring of the associated information of the off-line operation performed on the monitoring object includes: acquiring the associated information input by the user in the parameter setting interface. Figure 3a or Figure 3b Through the parameter setting interface, basic information such as age, height, and weight can be acquired, and blood gas analysis results such as PaO2 (arterial oxygen partial pressure), PaCO2 (arterial carbon dioxide partial pressure), and PH (acid-base degree) can be acquired, and blood routine results such as Hb (hemoglobin concentration) can be acquired, and disease information and medication information can be acquired.

[0061] Optionally, the step S110 of acquiring the associated information of the off-line operation performed on the monitoring object can include: acquiring the associated information set by the medical ventilation device and / or the monitor, and acquiring the associated information monitored by the medical ventilation device and / or the monitor. For example, the medical ventilation device can monitor at least one associated information through a sensor during the provision of ventilation to the monitoring object, and / or can obtain at least one associated information through the calculation or table lookup of the monitoring data of the sensor.

[0062] Optionally, the step S110 of acquiring the associated information of the off-line operation performed on the monitoring object can include: acquiring the associated information stored by the C IS system (Clinical Information System) and / or the central station, and / or the associated information output by a laboratory, such as a diagnosis result, a medical history, and medication information.

[0063] Optionally, the type of the associated information to be acquired in the step S110 can be set in advance, and the type of the associated information to be acquired in the step S110 can be determined according to the selection of a user.

[0064] Step S120: Determine multiple influencing factors and the degree of influence corresponding to each of the influencing factors based on the associated information, wherein the influencing factors are selected from the associated information or determined based on multiple pieces of associated information, and the degree of influence corresponding to an influencing factor is used to indicate the degree of influence of the influencing factor on offline success or offline failure.

[0065] Optionally, one or more pieces of associated information may be pre-set as the influencing factors, and / or one or more pieces of associated information may be determined according to user settings as the influencing factors.

[0066] Optionally, multiple pieces of associated information may be used together as an influencing factor. For example, multiple pieces of associated information related to vital signs, such as heart rate, respiratory rate, blood pressure, and blood oxygen saturation, may be used as vital sign influencing factors. The value of the influencing factor may be determined based on the values ​​of the multiple pieces of associated information.

[0067] For example, if Figure 4a As shown in Figure 4, the influencing factors include HR (heart rate), PH (acidity), GCS score, respiratory rate, MAP (mean airway pressure), Hb (hemoglobin concentration), PaO2 (arterial oxygen partial pressure), PaCO2 (arterial carbon dioxide partial pressure), BMI (body mass index); they may also include SOFA score, cumulative balance in the past 24 hours, SpO2 (blood oxygen saturation), duration of mechanical ventilation, and FiO2.

[0068] For each of the influencing factors, different values ​​of the influencing factors may also have different impacts on offline success or failure. For example, if the monitored subject's heart rate is too high or too low, the probability of offline success is low and / or the probability of offline failure is high; if the blood oxygen saturation is high, the probability of offline success is high and / or the probability of offline failure is low. By determining the degree of influence corresponding to the influencing factor based on the associated information, the impact of the influencing factor on offline success or failure can be evaluated.

[0069] For example, the influence degree corresponding to the influence factor can be determined based on the value of the influence factor. In the case where multiple pieces of associated information are collectively used as an influence factor, the influence degree corresponding to each piece of associated information can also be determined based on the respective values ​​of the multiple pieces of associated information in the influence factor; and then the influence degree of the influence factor can be determined based on the influence degrees corresponding to the multiple pieces of associated information.

[0070] In some embodiments, the degree of influence of the influencing factors can be qualitatively described. Exemplarily, the influencing factors include positive influencing factors and / or negative influencing factors; wherein the degree of influence corresponding to the positive influencing factors is used to indicate that the positive influencing factors can improve the offline success rate and / or reduce the offline failure risk; and the degree of influence corresponding to the negative influencing factors is used to indicate that the negative influencing factors can reduce the offline success rate and / or increase the offline failure risk.

[0071] Exemplarily, the value of at least one of the positive impact factors is within the corresponding preset range, and / or the value of at least one of the negative impact factors is outside the preset range. For example, when the value of an impact factor is within the corresponding preset range, the impact factor can be determined as a positive impact factor. Figure 4a , the preset range of BMI is 18.5 to 23.9. When the BMI value of the monitored object is 19, the impact factor BMI is determined to be a positive impact factor. When the value of an impact factor deviates from the corresponding preset range, the impact factor can be determined to be a negative impact factor. Figure 4a The preset range of HR is 60 to 100. When the HR value of the monitored object is 120, the influencing factor HR is determined to be a negative influencing factor.

[0072] Exemplarily, when qualitatively describing the degree of influence of the influencing factor, it can also be described as a high degree of influence, a medium degree of influence, or a low degree of influence; for example, a low degree of influence is used to indicate that the influencing factor has little impact on the offline success rate and / or offline failure risk, and does not significantly increase the offline success rate or the offline failure risk.

[0073] For example, the influence degree of the influence factor can be quantitatively described. For example, the greater the influence of the influence factor on offline success or offline failure, the greater the absolute value of the influence factor corresponding to the influence factor.

[0074] In some embodiments, the degree of influence of the negative influencing factors on improving the offline success rate may be determined to be less than zero and / or the degree of influence of the negative influencing factors on improving the offline failure risk may be determined to be greater than zero. The degree of influence of the positive influencing factors on improving the offline success rate may be determined to be greater than zero and / or the degree of influence of the positive influencing factors on improving the offline failure risk may be determined to be less than zero. Figure 4aFor example, when the value of an influence factor deviates from the corresponding preset range, the influence degree of the influence factor corresponding to the increase in offline success rate is determined to be less than zero, and the more the value of the influence factor deviates from the corresponding preset range, the smaller the corresponding influence degree, that is, the greater the absolute value of the influence factor. Please refer to Figure 5a For example, when the value of an influence factor deviates from the corresponding preset range, the influence degree of the influence factor corresponding to the increase in offline success rate is determined to be less than zero, and the more the value of the influence factor deviates from the corresponding preset range, the smaller the corresponding influence degree, that is, the greater the absolute value of the influence factor. Please refer to

[0075] For example, when the value of an influence factor deviates from the corresponding preset range, the influence degree of the influence factor corresponding to the increase in offline success rate is determined to be less than zero, and the more the value of the influence factor deviates from the corresponding preset range, the smaller the corresponding influence degree, that is, the greater the absolute value of the influence factor. Please refer to Figure 4a or Figure 4b For example, when the value of an influence factor deviates from the corresponding preset range, the influence degree of the influence factor corresponding to the increase in offline success rate is determined to be less than zero, and the more the value of the influence factor deviates from the corresponding preset range, the smaller the corresponding influence degree, that is, the greater the absolute value of the influence factor. Please refer to Figure 4a or Figure 4b For example, when the value of an influence factor deviates from the corresponding preset range, the influence degree of the influence factor corresponding to the increase in offline success rate is determined to be less than zero, and the more the value of the influence factor deviates from the corresponding preset range, the smaller the corresponding influence degree, that is, the greater the absolute value of the influence factor. Please refer to

[0076] In some embodiments, the influence degree corresponding to the influence factor can be determined based on a preset statistical model and / or a machine learning model and / or a deep learning model according to the association information. The preset statistical model, the machine learning model, and the deep learning model can be determined based on a data set, which can include the association information and a plurality of influence factors and influence degrees corresponding to each of the influence factors annotated by experts.

[0077] For ease of illustration, the embodiments of the present application are mainly described by taking the influence degree corresponding to the influence factor as an example to indicate the influence degree of the influence factor on the offline success. When the influence degree of the influence factor is greater than zero, it indicates that the influence factor can improve the offline success rate, and the influence factor can be referred to as a positive influence factor; when the influence degree of the influence factor is less than zero, it indicates that the influence factor will reduce the offline success rate, and the influence factor can be referred to as a negative influence factor.

[0078] In step S130, the offline prompt information is determined and displayed according to the influence degree corresponding to each influence factor.

[0079] In some embodiments, the offline prompt information includes at least one of the following: the offline success rate, the offline failure risk, the operation suggestion capable of improving the offline success rate and / or reducing the offline failure risk, the change of the offline success rate and / or the offline failure risk after the operation suggestion is executed.

[0080] As shown in Figure 4c and Figure 4d , the displayed offline prompt information includes the offline success rate. The offline success rate can be displayed qualitatively and / or quantitatively. For example, when described qualitatively, the offline success rate can be displayed as high or low, or can also include medium success rate; when displayed quantitatively, the offline success rate can be displayed as a numerical value, such as 80%. For example, the offline success rate can be determined according to the sum of the influence degrees of the offline success corresponding to a plurality of influence factors; the greater the sum of the influence degrees of the offline success corresponding to the plurality of influence factors, the higher the offline success rate. For example, as shown in Figure 4c , when the offline success rate is greater than or equal to 80%, it can be determined that the offline success rate is high; when the offline success rate is high, the prompt information of “offline can be attempted” and / or “please combine with clinical comprehensive judgment to determine whether to offline” can also be displayed. As shown in Figure 4d , when the offline success rate is less than 80%, it is determined that the offline success rate is low or medium; when the offline success rate is low, the prompt information of “it is suggested to continue observation” can also be displayed.

[0081] As shown in Figure 5b , the displayed offline prompt information includes the offline failure risk. The offline failure risk can be displayed qualitatively and / or quantitatively. For example, when described qualitatively, the offline failure risk can be displayed as high risk or low risk, or can also include medium risk; when displayed quantitatively, the offline failure risk can be displayed as a numerical value, such as 90%. For example, the offline failure risk can be determined according to the sum of the influence degrees of the offline failure corresponding to a plurality of influence factors; the greater the sum of the influence degrees of the offline failure corresponding to the plurality of influence factors, the higher the offline failure risk. Or the offline failure risk can be determined according to the offline success rate, for example, the greater the offline success rate, the smaller the offline failure risk.

[0082] The qualitative display form of the offline success rate and the offline failure risk includes, but is not limited to, at least one of the following: text, graphics, color, animation, and graphics including, but not limited to, at least one of the following: column chart, arrangement chart, pie chart, ring chart, radar chart. As shown in FIG. 6, when the offline success rate is high, the offline success rate and the corresponding prompt information are displayed in green; as shown in FIG. 7, when the offline success rate is low, the offline success rate and the corresponding prompt information are displayed in red; as shown in FIG. 8, when the offline failure risk is high, the offline failure risk and the corresponding prompt information are displayed in red, when the offline failure risk is medium, the offline failure risk and the corresponding prompt information can be displayed in yellow, and when the offline failure risk is low, the offline failure risk and the corresponding prompt information can be displayed in blue. The offline success rate and / or the offline failure risk are displayed by the qualitative display form, so that the user can intuitively know whether to attempt offline. Figure 4c Figure 4d Figure 5b

[0083] The quantitative display form of the offline success rate and the offline failure risk includes, but is not limited to, at least one of the following: number, text, column chart, box plot, density chart, radar chart, two-dimensional coordinate, and three-dimensional coordinate. As shown in FIG. 9, the value of the offline success rate is 80% on a horizontal axis; as shown in FIG. 10, the value of the offline success rate is 60% on a horizontal axis; as shown in FIG. 11, the offline failure risk is 90% in the form of a number. The offline success rate and / or the offline failure risk are displayed by the quantitative display form, so that the user can accurately know the high or low of the offline success rate and / or the offline failure risk, in order to determine whether to attempt offline. Figure 4c Figure 4d Figure 5b

[0084] Optionally, the medical ventilation system further includes a loudspeaker, and the offline success rate and other offline prompt information can be played through the loudspeaker, for example, the offline success rate is played when the offline success rate is high, i.e., greater than or equal to 90%.

[0085] Optionally, the medical ventilation system further includes an indicator light, and the offline success rate and / or the offline failure risk can be indicated by the color and / or the number of the indicator light being lit, for example, a green indicator light is lit when the offline success rate is high, and a red indicator light is lit when the offline success rate is low.

[0086] Exemplarily, the operation suggestion includes at least one of the following: adjusting the ventilation mode of the monitored object, adjusting the ventilation mode of the medical ventilation device, adjusting the ventilation parameter of the medical ventilation device, and treatment suggestion.

[0087] ​​​​​​The ventilation mode includes at least one of high flow oxygen therapy, non-invasive ventilation and invasive ventilation, please refer to Figure 5b “Suggest to keep invasive ventilation” is displayed to suggest the user to adjust the ventilation mode of the monitoring object to invasive ventilation. The ventilation mode includes but is not limited to at least one of the following: machine-controlled mode, autonomous mode, and composite mode, wherein the machine-controlled mode includes, for example, volume-controlled mode, pressure-controlled mode, etc., the autonomous mode includes, for example, pressure support mode, and the composite mode includes, for example, SIMV (synchronized intermittent mandatory ventilation) mode. Please refer to Figure 5b “Switch to machine-controlled mode for ventilation” is displayed to suggest the user to adjust the ventilation mode of the medical ventilation device to machine-controlled mode.

[0088] By determining the operation suggestion for adjusting the ventilation mode, the ventilation mode, and the ventilation parameter according to the influence degree corresponding to each of the influence factors, the user can be automatically reminded whether the current respiratory support mode of the monitoring object is appropriate and whether adjustment is needed, and the user can also be reminded of how to adjust the respiratory support mode and / or the appropriate timing of adjusting the respiratory support mode; so that the user can timely and accurately adjust the respiratory support mode of the monitoring object, thereby improving the efficiency of respiratory support.

[0089] As shown in Figure 6 , the operation suggestion (or referred to as recommended measure) can also include adjusting the setting parameter of the medical ventilation device and / or adjusting the ventilation volume to suggest the user to adjust the ventilation parameter of the medical ventilation device; and can also include a treatment suggestion for drug treatment; of course, it is not limited thereto, for example, a treatment suggestion for sputum suction operation can also be output, or the user is suggested to clean the ventilation pipeline.

[0090] For example, the operation suggestion includes at least one of the following: an operation suggestion determined according to a positive influence factor and / or a negative influence factor in the influence factors; an operation suggestion determined according to an influence factor whose absolute value of the influence degree is greater than or equal to a preset threshold; an operation suggestion determined according to one of the influence factors; an operation suggestion determined according to a preset factor combination, wherein the factor combination includes a plurality of the influence factors; an operation suggestion determined according to a change trend of the influence degree corresponding to at least one of the influence factors.

[0091] Please refer to Figure 6 , Figure 6The influence degree corresponding to each of the influence factors is the influence degree on offline failure. The operation suggestions determined according to the negative influence factor of HR include drug treatment, the operation suggestions determined according to the negative influence factor of respiratory rate include adjusting the setting parameters of the medical ventilation equipment, the operation suggestions determined according to the negative influence factor of blood pressure include drug treatment, and the operation suggestions determined according to the negative influence factor of PaCO2 include increasing the ventilation volume. The absolute values of the influence degrees of these influence factors are relatively large, for example, greater than 0.2, and the influence degrees on offline success or offline failure are relatively large. Optionally, the operation suggestions corresponding to the influence factors with absolute values of the influence degrees less than a preset threshold value can not be displayed. By determining and displaying the operation suggestions corresponding to the negative influence factors with relatively large absolute values of the influence degrees, the user can be prompted to adjust the respiratory support mode and / or the treatment scheme in a targeted manner, so as to improve the offline success rate and the offline failure risk of the weaning, and the monitoring object can be weaned as soon as possible.

[0092] Optionally, by displaying the operation suggestions determined according to the positive influence factors in the influence factors, the user can be prompted that at least one of the following parameters is effective for offline success: ventilation mode, ventilation mode, ventilation parameter, treatment scheme, and the user can also be prompted to maintain these parameters unchanged.

[0093] Please refer to Figure 6 The operation suggestions determined according to a preset factor combination, such as HR, respiratory rate, blood pressure, and transcutaneous finger pulse oxygen saturation, such as drug treatment and adjusting the setting parameters of the medical ventilation equipment, can also be displayed. Or when the influence degree of respiratory rate on offline failure caused by excessive spontaneous breathing of the monitoring object is 0.8 and the influence degree of spontaneous work on offline failure is 0.8, the displayed operation suggestions include switching the machine control mode to the autonomous mode. By displaying the operation suggestions determined according to a plurality of influence factors in the comprehensive factor combination, the accuracy of the operation suggestions can be improved.

[0094] For example, when the influence degree of respiratory rate on offline failure caused by excessive spontaneous breathing of the monitoring object is increased to 0.4, the displayed operation suggestions include switching the machine control mode to the combined mode, and when the influence degree of respiratory rate on offline failure caused by excessive spontaneous breathing of the monitoring object is increased to 0.8, the displayed operation suggestions include switching the machine control mode to the autonomous mode.

[0095] For example, by determining and displaying the operation suggestions according to the change trend of the influence degree corresponding to at least one of the influence factors, the accuracy of the operation suggestions can be improved.

[0096] By displaying the change in the offline success rate and / or the offline failure risk after the execution of the operation suggestion, such as the offline failure risk will be reduced by 10% after switching the ventilation setting parameters, the user can be facilitated to make a decision on whether to execute the operation suggestion.

[0097] In step S140, a target influence factor is determined and displayed according to the influence degree corresponding to each of the influence factors, and the target influence factor includes at least one of the plurality of influence factors.

[0098] In some embodiments, when the target influence factor is displayed, the identification of the target influence factor and at least one of the following is displayed: the value of the target influence factor, the preset range corresponding to the target influence factor, and the influence degree corresponding to the target influence factor.

[0099] As shown in FIG. 7a, the identification of the target influence factor and the influence degree corresponding to the target influence factor are displayed. Figure 7a

[0100] In some embodiments, the target influence factor can be displayed qualitatively, for example, the target influence factor can be displayed as a positive influence factor or a negative influence factor, and / or the influence degree of the target influence factor can be displayed as a high influence degree, a medium influence degree, or a low influence degree. The qualitative display form of the target influence factor includes but is not limited to at least one of the following: text, graphics, color, animation, and graphics including but not limited to at least one of the following: column chart, arrangement chart, pie chart, ring chart, and radar chart. As shown in FIG. 7b, the plurality of target influence factors are displayed in column charts, wherein the positive influence factors (positive factors for short) are displayed in blue, and the negative influence factors (negative factors for short) are displayed in red; the length of the color band corresponding to each target influence factor can also be used to represent the high or low of the influence degree corresponding to each target influence factor. Figures 7a to 7e

[0101] In some embodiments, the influence degree of the target influence factor can be displayed quantitatively, and the quantitative display form includes but is not limited to at least one of the following: number, text, column chart, box plot, density chart, radar chart, two-dimensional coordinate, and three-dimensional coordinate. As shown in FIG. 7c, the influence degree of the target influence factor MAP is displayed as -0.19, and the target influence factor of the target influence factor can also be displayed quantitatively in a two-dimensional coordinate. Or as shown in FIG. 7d or 7e, the number is not displayed. Figure 7a Figure 7e

[0102] ​​​​By displaying the target influence factors, the user can understand the influence factors that have an impact on offline success or offline failure, and the user can determine which influence factors can be improved to increase the offline success rate and reduce the risk of offline failure according to the displayed target influence factors, for example, the ventilation mode of the monitoring object can be adjusted, the ventilation mode of the medical ventilation device can be adjusted, the ventilation parameters of the medical ventilation device can be adjusted, and / or the treatment plan can be adjusted.

[0103] As shown in FIG. 12, the identification of the target influence factor and the value of the target influence factor (e.g., the value 120 of HR) are displayed, as well as the preset range corresponding to the target influence factor (e.g., the preset range 60-100 bpm of HR); the identification of the target influence factor and the influence degree corresponding to the target influence factor are displayed. Optionally, the value of the target influence factor is displayed outside or inside the corresponding preset range by color and / or symbol; as shown in FIG. 12, the value of HR is displayed in red and an upward arrow indicates that the value of HR is greater than the upper limit of the preset range; the value of pH is displayed in yellow and a small downward arrow indicates that the value of pH is less than the lower limit of the preset range. By displaying the preset range of the target influence factor, the user can understand the degree to which the value of the target influence factor deviates from the preset range, and when necessary, the offline success rate can be improved and the risk of offline failure can be reduced by improving the value of the target influence factor. Figure 5a Figure 7a In some embodiments, step S140 determines and displays the target influence factors according to the influence degree corresponding to each of the influence factors, including: determining the influence factors in the plurality of influence factors whose absolute value of influence degree is greater than or equal to a first preset threshold as the target influence factors. Influence factors whose absolute value of influence degree is less than the first preset threshold can not be displayed, or can be displayed. As shown in FIG. 12, the absolute value of the influence degree of each target influence factor displayed is greater than or equal to 0.2, and these influence factors can be referred to as main influence factors. Influence factors whose absolute value of influence degree is greater than or equal to the first preset threshold, i.e., influence factors whose influence degree on offline success or offline failure is high, by displaying the target influence factors, the user can be prompted to pay attention to these influence factors, and the user can be facilitated to perform targeted processing.

[0104] In some embodiments, step S140 determines and displays the target influence factors according to the influence degree corresponding to each of the influence factors, including: determining the influence factors in the plurality of influence factors whose absolute value of influence degree is greater than or equal to a first preset threshold as the target influence factors. Influence factors whose absolute value of influence degree is less than the first preset threshold can not be displayed, or can be displayed. As shown in FIG. 12, the absolute value of the influence degree of each target influence factor displayed is greater than or equal to 0.2, and these influence factors can be referred to as main influence factors. Influence factors whose absolute value of influence degree is greater than or equal to the first preset threshold, i.e., influence factors whose influence degree on offline success or offline failure is high, by displaying the target influence factors, the user can be prompted to pay attention to these influence factors, and the user can be facilitated to perform targeted processing. Figure 4a

[0105] ​​In some embodiments, the step S140 determines and displays the target influence factor according to the influence degree corresponding to each of the influence factors, including: determining a first number of positive influence factors and / or a second number of negative influence factors in the plurality of influence factors as the target influence factors. The first number of positive influence factors correspond to influence degrees with absolute values greater than those of the rest of the positive influence factors, which can or can not be displayed. The second number of negative influence factors correspond to influence degrees with absolute values greater than those of the rest of the negative influence factors, which can or can not be displayed. As shown in Figure 7a displaying the five positive influence factors with the largest absolute values of influence degrees and the five negative influence factors with the largest absolute values of influence degrees, the display of the target influence factors can prompt the user to pay attention to these influence factors, facilitating the user to make targeted processing.

[0106] In some embodiments, referring to FIG. 7, the displayed target influence factors include main influence factors and auxiliary influence factors. The main influence factors correspond to influence degrees with absolute values greater than or equal to a second preset threshold, such as 0.2. The auxiliary influence factors correspond to influence degrees with absolute values less than the second preset threshold. Optionally, the main influence factors that can improve the offline success rate and / or reduce the risk of offline failure can be referred to as main positive influence factors, and the main influence factors that can reduce the offline success rate and / or increase the risk of offline failure can be referred to as main negative influence factors. The auxiliary influence factors that can improve the offline success rate and / or reduce the risk of offline failure can be referred to as auxiliary positive influence factors, and the auxiliary influence factors that can reduce the offline success rate and / or increase the risk of offline failure can be referred to as auxiliary negative influence factors. Displaying the main influence factors and auxiliary influence factors can facilitate the user to comprehensively understand the influence factors affecting the offline success or offline failure, and facilitate the user to make more accurate decisions and processing.

[0107] For example, when displaying the main influence factors, at least the influence degree corresponding to the main influence factors is displayed. As shown in Figure 7b the main influence factors can be displayed qualitatively and / or quantitatively, and the auxiliary influence factors can be displayed qualitatively, such as displaying only the identification of the auxiliary influence factors and the value of the auxiliary influence factors, or displaying the auxiliary influence factors as positive influence factors or negative influence factors. This can facilitate the user to focus on the main influence factors, and reduce the interference of excessive information of the auxiliary influence factors on the user.

[0108] For example, the display of the target influence factors includes displaying the main influence factors in a first area of the same display interface and displaying the auxiliary influence factors in another area. As shown in Figure 7bThe main influence factor and the auxiliary influence factor are displayed in different regions of the same display interface, so that the user can simultaneously understand the main influence factor and the auxiliary influence factor. Figure 7d Or Figure 7e The auxiliary influence factor can not be distinguished as a positive influence factor or a negative influence factor, for example, can be collectively referred to as other factors.

[0109] For example, the display target influence factor includes: alternately displaying the main influence factor and the auxiliary influence factor in the same display interface. Optionally, the time length of each display of the main influence factor is greater than the time length of each display of the auxiliary influence factor, so that the user can focus on the main influence factor.

[0110] For example, the display target influence factor includes: displaying the main influence factor in a first display interface and displaying the auxiliary influence factor in a second display interface. For example, the first display interface or the second display interface can be switched according to user operation. Optionally, when the ventilation strategy evaluation function is opened to display the target influence factor, the main influence factor is displayed in the first display interface by default so that the user can focus on the influence factor that has a greater impact on offline success or offline failure; when the user needs to further understand other influence factors, the second display interface can be switched to display the auxiliary influence factor, so that the user can comprehensively understand the influence factors affecting offline success or offline failure, and the user can make more accurate decisions and processing.

[0111] For example, the display target influence factor includes: displaying the main influence factor in a first display and displaying the auxiliary influence factor in a second display. For example, the main influence factor is displayed on the display of a medical ventilation device, and the auxiliary influence factor is displayed on the display of a terminal device such as a computer. Of course, it is not limited to this, for example, the main influence factor and the auxiliary influence factor are displayed on the display of a terminal device such as a mobile phone. The user can understand the influence factors affecting offline success or offline failure according to the corresponding display as needed.

[0112] In some embodiments, please refer to Figure 7a Or Figure 7b When the target influence factor includes at least two influence factors, the display order of the at least two influence factors is sorted according to the size of the influence degree corresponding to each of the at least two influence factors. For example, the influence factor with a greater influence degree is arranged before the influence factor with a smaller influence degree, so that the user can more intuitively understand the influence degree of each target influence factor, and focus on the influence factor with a greater influence degree.

[0113] In some embodiments, as Figure 7a Or Figure 7bAs shown, the offline prompt information and the target influence factor are displayed in different regions of the same display interface, so that the user can understand the influence factor that affects the offline success or offline failure when viewing the offline prompt information. Of course, it is not limited to this, for example, the offline prompt information and the target influence factor can be alternately displayed in the same display interface, or the offline prompt information and the target influence factor can be displayed in different display interfaces, or the offline prompt information and the target influence factor can be displayed in different displays, for example, the offline prompt information is displayed on the display of the medical ventilation equipment, and the target influence factor is displayed on the display of the terminal device such as a computer.

[0114] Optionally, referring to Figure 7c The offline prompt information and the target influence factor can be displayed on the ventilation strategy evaluation interface. For example, the main interface of the medical ventilation equipment includes a ventilation strategy evaluation button, and in response to the ventilation strategy evaluation button being triggered, the ventilation strategy evaluation interface can be displayed, and the target influence factor can be displayed on the ventilation strategy evaluation interface; for example, the offline prompt information and the target influence factor are displayed in different regions of the ventilation strategy evaluation interface.

[0115] Optionally, in combination with Figure 7c Referring to Figure 3a or Figure 3b The ventilation strategy evaluation interface includes a parameter setting button and a parameter analysis button; for example, when the parameter setting button is triggered, the ventilation strategy evaluation interface can display Figure 3a or Figure 3b The parameter setting interface shown in the figure, so as to set the associated information of whether to perform the offline operation on the monitored object; when the parameter analysis button is triggered, the offline prompt information and the target influence factor are displayed on the ventilation strategy evaluation interface.

[0116] In step S150, the updated associated information is obtained, and the displayed offline prompt information and / or target influence factor are updated according to the updated associated information.

[0117] The embodiments of the present application can dynamically refresh the offline prompt information and / or the target influence factor. For example, as the condition of the monitored object improves or worsens, some associated information will change, and the influence degree corresponding to the influence factor determined according to the updated associated information will also change and be updated; by updating the influence degree corresponding to the updated influence factor, the offline prompt information can be updated and / or the target influence factor can be updated, so as to timely and accurately provide guidance for withdrawing the medical ventilation equipment such as a breathing machine.

[0118] In some implementations, the updated association information is obtained according to a preset update cycle, and the displayed offline prompt information and / or the target impact factor are updated according to the updated association information. For example, see Figure 4c , the preset update cycle can be 30 minutes (min), of course, it is not limited to this, for example, it can also be 20 minutes. It is also possible to display the time between the current distance to the next update of the offline prompt information and / or the target influence factor when displaying the offline prompt information and / or the target influence factor, such as a refresh countdown. The displayed offline prompt information and / or the target influence factor can be refreshed and displayed periodically, for example, the offline prompt information updated at least twice is different, and / or the types of the target influence factors updated at least twice are different, and / or the degree of influence of at least one of the target influence factors updated at least twice is different. For example, if HR and other related information are displayed as negative influence factors in one update and as positive influence factors in another update, it can be indicated that the change of the HR and other related information has improved the offline success rate and / or reduced the risk of offline failure.

[0119] In some embodiments, based on the user's update control operation, the updated associated information is obtained, and based on the updated associated information, the displayed offline prompt information and / or the target influence factor is updated. For example, the display interface of the offline prompt information and / or the display interface of the target influence factor includes an update button. When the update button is triggered, the updated associated information is obtained, and based on the updated associated information, the displayed offline prompt information and / or the target influence factor is updated. Or, the input interface of the associated information includes an update button. After the user updates the input associated information, the update button can be triggered to update the displayed offline prompt information and / or the target influence factor. The offline prompt information and / or the target influence factor can be refreshed according to user needs.

[0120] In some embodiments, when a change in at least one of the associated information satisfies a preset judgment condition, the updated associated information is obtained, and the displayed offline prompt information and / or the target impact factor are updated based on the updated associated information. For example, when the preset physiological information (such as HR, respiratory rate, blood pressure) and / or preset ventilation parameter information such as tidal volume changes significantly over a period of time, it indicates that the condition of the monitored object has changed significantly. By timely updating the displayed offline prompt information and / or the target impact factor, it is possible to facilitate the user to take timely action.

[0121] It should be noted that the timing for updating the displayed offline prompt information and / or the target influence factor can be a combination of the above multiple factors. For example, the displayed offline prompt information and / or the target influence factor can be updated when the refresh countdown time has not reached zero, when the user's update control operation is detected, and / or when the change of at least one of the related information meets the preset judgment conditions, so as to timely update the offline prompt information and / or the target influence factor.

[0122] In some embodiments, the offline prompt information is the offline success rate and / or the offline failure risk, and the method further includes: displaying a changing trend graph / table of the offline success rate based on the offline success rate determined at multiple different (at least two) moments, and / or displaying a changing trend graph / table of the offline failure risk based on the offline failure risk determined at multiple different moments.

[0123] Optional, please combine Figure 7e See Figure 8a or Figure 8b The ventilation strategy evaluation interface also includes a trend analysis button; for example, when the trend analysis button is triggered, the ventilation strategy evaluation interface can switch to display Figure 8a or Figure 8b The trend analysis interface shown includes at least a changing trend graph / table of the offline success rate and / or a changing trend graph / table of the offline failure risk.

[0124] like Figure 8a As shown, a graph showing the changing trend of the offline failure risk is shown, with the horizontal axis representing time and the vertical axis representing the offline failure risk. The preset update period is 20 minutes, and the offline failure risk is updated every 20 minutes. It can be seen that the offline failure risks of at least two updates are different. By displaying the changing trend of the offline success rate and / or the changing trend of the offline failure risk, for example, it can help users understand whether the offline success rate and / or offline failure risk are stable, and determine the timing of offline operation.

[0125] In some embodiments, the method further comprises: displaying a graph / table showing a trend of changes in the value of at least one of the influencing factors, such as Figure 8a As shown in the figure, the changing trend of the values ​​of the influencing factors HR, respiratory rate, etc. can be displayed, such as Figure 8b As shown, a change trend graph of the values ​​of the influencing factors PaO2, PaCO2, etc. can be displayed. Optionally, the influencing factors displayed in the change trend graph / table can be preset and / or adjusted according to user operations.

[0126] For example, see Figure 8a or Figure 8bdisplay a trend chart / table of the value of at least one of the influence factors, and a trend chart / table of the offline success rate and / or a trend chart / table of the offline failure risk; wherein the trend chart / table of the value of the influence factor and the trend chart / table of the offline success rate and / or the offline failure risk are displayed based on the same time dimension. By synchronously displaying the offline success rate and / or the offline failure risk at different times and the value of at least one of the influence factors corresponding to the offline success rate and / or the offline failure risk at each time, the user can analyze the offline success rate and / or the offline failure risk according to the influence factors, for example, analyze which operation can improve the offline success rate.

[0127] For example, the trend chart / table of the offline success rate and / or the trend chart / table of the offline failure risk can be fixedly displayed, and the trend chart / table of the value of some or all of the target influence factors can be displayed simultaneously; for example, the trend chart / table of the value of a plurality of target influence factors can be displayed in a sliding manner, and the trend chart / table of the value of a target influence factor with a larger absolute value of influence degree can be displayed first, and the trend chart / table of the value of a target influence factor with a smaller absolute value of influence degree can be displayed according to the sliding operation of the user. This facilitates the user to focus on the change trend of the influence factor with a higher influence degree on the offline success or failure.

[0128] For example, the method further comprises: determining the change amount of the value of at least one of the influence factors in a target time period; determining the change amount of the offline success rate in the target time period and / or the change amount of the offline failure risk in the target time period; and displaying the change amount of the value of at least one of the influence factors in the target time period, and the change amount of the offline success rate and / or the change amount of the offline failure risk.

[0129] Optionally, the target time period can be a preset time period with a preset length, and the start point or the end point of the time period can be adjusted according to the user operation; or the start point and the end point of the target time period can be determined according to the user operation, and the length of the target time period is the length between the start point and the end point. For example, Figure 8a or Figure 8b As shown in

[0130] For example, please refer to Figure 8a or Figure 8bThe starting point of the target time period can be the time point with the minimum offline failure risk (e.g., 9 o'clock), and the ending point of the target time period can be the time point with the maximum offline failure risk (e.g., 11 o'clock). Of course, the starting point of the target time period can also be the time point with the maximum offline failure risk, and the ending point of the target time period can be the time point with the minimum offline failure risk. Alternatively, the starting point of the target time period can be the time point with the maximum offline success rate, and the ending point of the target time period can be the time point with the minimum offline success rate. Alternatively, the starting point of the target time period can be the time point with the minimum offline success rate, and the ending point of the target time period can be the time point with the maximum offline success rate.

[0131] As shown in FIG. 1, the change trend graph of the offline success rate and the change trend graph of the offline failure risk can be displayed on the same interface. Figure 8a Or Figure 8b As shown in FIG. 1, the change trend graph of the offline success rate and the change trend graph of the offline failure risk can be displayed on the same interface.

[0132] Optionally, the operation suggestion that can improve the offline success rate and / or reduce the offline failure risk and / or the operation actually performed by the user can be displayed at at least one time point or time period in the change trend graph / table of the offline success rate and / or the change trend graph / table of the offline failure risk, so that the user can understand the influence of the operation suggestion and / or the actually performed operation on the offline success rate and / or the offline failure risk.

[0133] The information display method of the medical ventilation system provided by the embodiments of the present application comprises the following steps: acquiring associated information of performing offline or not operation on a monitoring object, wherein the associated information comprises at least one of the following: physiological information of the monitoring object, ventilation parameter information of a medical ventilation device used by the monitoring object, and treatment information for the monitoring object; determining a plurality of influence factors and influence degrees corresponding to each of the influence factors according to the associated information, wherein the influence factors are selected from the associated information or determined according to a plurality of the associated information, and the influence degree corresponding to one influence factor is used to indicate the influence degree of the influence factor on offline success or offline failure; determining and displaying offline prompt information according to the influence degrees corresponding to each of the influence factors; determining and displaying a target influence factor according to the influence degrees corresponding to each of the influence factors, wherein the target influence factor comprises at least one of the plurality of influence factors; acquiring updated associated information, and updating the displayed offline prompt information and / or the target influence factor according to the updated associated information. In a clinical actual application scenario, the offline prompt information and the target influence factor can be refreshed and displayed to provide guidance for timely evacuation of a medical ventilation device such as a breathing machine.

[0134] In some embodiments, the method further comprises displaying a prompt interface of the ventilation strategy evaluation function. Figure 9 FIG. 1 is a schematic diagram of a prompt interface of a ventilation strategy evaluation function. For example, after triggering the ventilation strategy evaluation button of the main interface, the ventilation strategy evaluation interface is entered, and after triggering the help button on the ventilation strategy evaluation interface, the prompt interface of the ventilation strategy evaluation function can be displayed.

[0135] For example, the ventilation strategy evaluation function can be prompted to be inapplicable in the following cases: the age is less than 18 years old or greater than 90 years old, the mechanical ventilation is not performed for the first time, or the tracheostomy is performed before the weaning. It can also be prompted that the analysis result provided by the function is only for reference.

[0136] Please refer to the above embodiments Figure 10 , Figure 10 is an information display method of a medical ventilation system provided by another embodiment of the present application.

[0137] As shown in Figure 10 , the information display method of the medical ventilation system comprises steps S210 to S250.

[0138] In step S210, the associated information for performing the switching to the invasive ventilation on the monitoring object is acquired, and the associated information comprises at least one of the following: the physiological information of the monitoring object, the ventilation parameter information of the medical ventilation equipment used by the monitoring object, and the treatment information for the monitoring object.

[0139] The current ventilation mode of the monitoring object is, for example, the non-invasive ventilation or the oxygen therapy.

[0140] The step and type of acquiring the associated information in step S210 can refer to the step and type of acquiring the associated information in the aforementioned step S110.

[0141] It should be noted that the type of the associated information for performing the switching to the invasive ventilation on the monitoring object can be the same as or different from the type of the associated information for performing the weaning or not operation on the monitoring object. For example, some ventilation parameter information of the medical ventilation equipment is the associated information for performing the switching to the invasive ventilation on the monitoring object, but not the associated information for performing the weaning or not operation on the monitoring object. Of course, the present application is not limited thereto.

[0142] Optionally, the type of the associated information required to be acquired in step S210 can be set in advance, and the type of the associated information required to be acquired in step S210 can also be determined according to the user setting.

[0143] In step S220, a plurality of influence factors are determined according to the correlation information, and an influence degree corresponding to each of the influence factors is determined, wherein the influence factors are selected from the correlation information or determined according to a plurality of the correlation information, and the influence degree corresponding to one influence factor is used to indicate the influence degree of the influence factor on whether to switch to invasive ventilation.

[0144] Optionally, one or more correlation information can be preset as the influence factor alone, and / or one or more correlation information can be determined as the influence factor alone according to a user setting.

[0145] Optionally, a plurality of correlation information can be collectively used as one influence factor, for example, a plurality of correlation information related to vital signs, such as heart rate, respiratory rate, blood pressure, and blood oxygen saturation, are used as a vital sign influence factor. The value of the influence factor can be determined according to the values of a plurality of correlation information.

[0146] For each of the influence factors, the influence of the influence factor on whether to switch to invasive ventilation can also be different in the case of different values of the influence factor. For example, in the case of a too high or too low heart rate of the monitoring object, the necessity of switching to invasive ventilation is higher; in the case of a high blood oxygen saturation, the necessity of switching to invasive ventilation is lower. By determining the influence degree corresponding to each of the influence factors according to the correlation information, the influence of each of the influence factors on whether to switch to invasive ventilation can be evaluated.

[0147] In some embodiments, the influence degree of the influence factor can be described qualitatively and / or quantitatively.

[0148] In some embodiments, the influence degree corresponding to each of the influence factors is determined according to the correlation information based on a preset statistical model and / or a machine learning model and / or a deep learning model. The preset statistical model, the machine learning model, and the deep learning model can be determined based on a data set, and the data set can include the correlation information and a plurality of influence factors and influence degrees corresponding to each of the influence factors annotated by experts.

[0149] In some embodiments, the influence factors include positive influence factors and / or negative influence factors; wherein the influence degree corresponding to each of the positive influence factors is used to indicate that the positive influence factor can reduce the necessity of switching to invasive ventilation; and the influence degree corresponding to each of the negative influence factors is used to indicate that the negative influence factor can increase the necessity of switching to invasive ventilation.

[0150] For example, the value of the at least one positive impact factor is within a preset range, and / or the value of the at least one negative impact factor is outside the preset range. For example, the preset range of BMI is 18.5 to 23.9, and the value of the BMI of the monitoring subject is 19, so the impact factor BMI is determined as a positive impact factor; the preset range of HR is 60 to 100, and the value of the HR of the monitoring subject is 120, so the impact factor HR is determined as a negative impact factor.

[0151] For example, the impact degree corresponding to the positive impact factor is a negative number, and the impact degree corresponding to the negative impact factor is a positive number; of course, it is not limited thereto.

[0152] In step S230, switching prompt information is determined and displayed according to the impact degree corresponding to each impact factor.

[0153] In some embodiments, the switching prompt information can include the necessity of switching to invasive ventilation, such as the necessity of switching from non-invasive ventilation or oxygen therapy to invasive ventilation.

[0154] For example, the impact degree corresponding to the positive impact factor is a negative number, and the impact degree corresponding to the negative impact factor is a positive number; the sum of the impact degree corresponding to each impact factor can be summed, and the necessity of switching to invasive ventilation is determined according to the sum. For example, the greater the sum of the impact degree corresponding to each impact factor, the greater the necessity of switching to invasive ventilation.

[0155] The necessity of switching to invasive ventilation can be displayed qualitatively and / or quantitatively. For example, when the sum of the impact degree corresponding to each impact factor is greater than or equal to a first preset value, it is determined that the necessity of switching to invasive ventilation is high; when the sum of the impact degree corresponding to each impact factor is less than or equal to a second preset value, it is determined that the necessity of switching to invasive ventilation is low; when the sum of the impact degree corresponding to each impact factor is greater than the second preset value and less than the first preset value, it is determined that the necessity of switching to invasive ventilation is medium. The second preset value is less than the first preset value. When the necessity of switching to invasive ventilation is displayed quantitatively, the sum of the impact degree corresponding to each impact factor can be directly displayed, of course, it is not limited thereto.

[0156] Optionally, the switching prompt information can also include operation suggestions, and the operation suggestions include at least one of the following: adjusting the ventilation mode of the medical ventilation equipment, adjusting the ventilation parameter of the medical ventilation equipment, and treatment suggestions.

[0157] Optionally, the switching prompt information can further include a predicted change in the necessity of switching to invasive ventilation after the operation suggestion is performed, such as a 10% reduction in the necessity of switching to invasive ventilation after the ventilation setting parameter is switched.

[0158] In step S240, a target influence factor is determined and displayed according to the influence degree corresponding to each of the influence factors, the target influence factor including at least one of the plurality of influence factors.

[0159] When the target influence factor is displayed, the identification of the target influence factor and at least one of the following is displayed: the value of the target influence factor, the preset range corresponding to the target influence factor, and the influence degree corresponding to the target influence factor.

[0160] The target influence factor can be displayed qualitatively and / or quantitatively.

[0161] By displaying the target influence factor, the user can understand the influence factors that have an impact on whether to switch to invasive ventilation, and the user can determine which influence factors can be improved to reduce the necessity of switching to invasive ventilation according to the displayed target influence factor.

[0162] In some embodiments, among the plurality of influence factors, the influence factors with an absolute value of the influence degree greater than or equal to a first preset threshold value are determined as the target influence factors. Influence factors with an absolute value of the influence degree less than the first preset threshold value can not be displayed, or can be displayed.

[0163] In some embodiments, among the plurality of influence factors, a first number of positive influence factors and / or a second number of negative influence factors are determined as the target influence factors. The first number of positive influence factors correspond to an absolute value of the influence degree greater than an absolute value of the influence degree corresponding to the remaining positive influence factors, and the remaining positive influence factors can not be displayed or can be displayed. The second number of negative influence factors correspond to an absolute value of the influence degree greater than an absolute value of the influence degree corresponding to the remaining negative influence factors, and the remaining negative influence factors can not be displayed or can be displayed.

[0164] In some embodiments, the displayed target influence factors include main influence factors and auxiliary influence factors. The main influence factors correspond to influence degrees with absolute values greater than or equal to a second preset threshold, and the auxiliary influence factors correspond to influence degrees with absolute values less than the second preset threshold. The main influence factors can be displayed in a first region of the same display interface, the auxiliary influence factors can be displayed in another region of the same display interface, the main influence factors and the auxiliary influence factors can be alternately displayed in the same display interface, the main influence factors can be displayed in a first display interface and the auxiliary influence factors can be displayed in a second display interface, or the main influence factors can be displayed in a first display and the auxiliary influence factors can be displayed in a second display.

[0165] When the target influence factors include at least two influence factors, the display order of the at least two influence factors is arranged according to the magnitude of the influence degree corresponding to each of the at least two influence factors.

[0166] In step S250, updated association information is obtained, and the displayed switching prompt information and / or the target influence factors are updated according to the updated association information.

[0167] The embodiments of the present application can dynamically refresh the switching prompt information and / or the target influence factors. For example, as the condition of the monitored object improves or deteriorates, some association information changes, the influence degree corresponding to the influence factor determined according to the updated association information also changes and is updated, and the switching prompt information is updated and / or the target influence factors are updated according to the influence degree corresponding to the updated influence factor, so as to provide guidance on whether to switch to invasive ventilation in a timely and accurate manner.

[0168] In some embodiments, the obtaining of the updated association information and the updating of the displayed switching prompt information and / or the target influence factors according to the updated association information include at least one of the following: the updated association information is obtained according to a preset update period, and the displayed switching prompt information and / or the target influence factors are updated according to the updated association information; the updated association information is obtained according to a user update control operation, and the displayed switching prompt information and / or the target influence factors are updated according to the updated association information; and the updated association information is obtained when at least one of the association information changes meets a preset judgment condition, and the displayed switching prompt information and / or the target influence factors are updated according to the updated association information.

[0169] In some embodiments, the method further comprises: displaying a trend chart / table of the value of at least one of the influence factors; and displaying a trend chart / table of the degree of necessity of switching to invasive ventilation determined at different time points; wherein the trend chart / table of the value of the influence factors and the trend chart / table of the degree of necessity of switching to invasive ventilation are displayed based on the same time dimension.

[0170] By synchronously displaying the degree of necessity of switching to invasive ventilation at different time points and the value of at least one of the influence factors corresponding to the degree of necessity of switching to invasive ventilation at each time point, the user can analyze the degree of necessity of switching to invasive ventilation according to the influence factors, for example, analyze which operation can reduce the degree of necessity of switching to invasive ventilation.

[0171] For example, the method further comprises: determining the variation amount of the value of at least one of the influence factors within a target time period; determining the variation amount of the degree of necessity within the target time period; and displaying the variation amount of the value of at least one of the influence factors and the variation amount of the degree of necessity within the target time period.

[0172] By displaying the variation amount of the value of at least one of the influence factors and the variation amount of the degree of necessity within the target time period, the user can analyze the relationship between the variation of the value of the influence factors and the variation of the degree of necessity of switching to invasive ventilation, and analyze which operation can reduce the degree of necessity of switching to invasive ventilation.

[0173] The information display method of the medical ventilation system provided by the embodiments of the present application can dynamically refresh the switching prompt information and / or the target influence factor, so as to timely and accurately provide guidance on whether to switch to invasive ventilation.

[0174] For example, the information display method of the medical ventilation system provided by the embodiments of the present application can dynamically refresh the switching prompt information and / or the target influence factor, so as to timely and accurately provide guidance on whether to switch to invasive ventilation. Figure 2 The embodiments of the present application also provide a medical ventilation device. As shown in Figure 2 The medical ventilation device comprises a pressure generating device 10, a ventilation pipeline 20, a processor 30, and a display 50. The pressure generating device 10 is configured to communicate with the ventilation pipeline 20 to provide ventilation to a monitoring object through the ventilation pipeline 20. The processor 30 is configured to perform the steps of the information display method of the medical ventilation system described above. The display 50 is configured to display the offline prompt information and / or the target influence factor.

[0175] The specific principles and implementation manners of the medical ventilation device provided by the embodiments of the present application are similar to those of the information display method of the medical ventilation system described above, and will not be described herein.

[0176] For example, the information display method of the medical ventilation system provided by the embodiments of the present application can dynamically refresh the switching prompt information and / or the target influence factor, so as to timely and accurately provide guidance on whether to switch to invasive ventilation. Figure 11 , Figure 11is a schematic block diagram of an electronic device 600 provided by an embodiment of the present application.

[0177] The electronic device 600 includes, for example, a terminal device or a server. The terminal device can be a mobile phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, etc.; the server can be a standalone server or a server cluster.

[0178] The electronic device 600 includes one or more processors 601, which work individually or jointly to execute the steps of the information display method of the medical ventilation system according to an embodiment of the present application. For example, the electronic device 600 can communicate with a medical ventilation device to obtain ventilation parameter information of the medical ventilation device, and the offline prompting information and the target influencing factor obtained by processing the ventilation parameter information can be displayed on a display of the electronic device 600 and / or transmitted to the medical ventilation device for display.

[0179] The electronic device 600 can further include a memory 602. For example, the processor 601 and the memory 602 are connected by a bus 603, such as an I 2 C (Inter-integrated Circuit) bus.

[0180] Specifically, the processor 601 can be a micro-controller unit (MCU), a central processing unit (CPU) or a digital signal processor (DSP), etc.

[0181] Specifically, the memory 602 can be a flash chip, a read-only memory (ROM) disk, an optical disk, a U disk or a mobile hard disk, etc.

[0182] The processor 601 is configured to run a computer program stored in the memory 602, and implement the steps of the information display method of the medical ventilation system when executing the computer program.

[0183] For example, the processor 601 is configured to run a computer program stored in the memory 602, and implement the following steps when executing the computer program:

[0184] Obtain associated information of performing offline or not operation on a monitoring object, the associated information including at least one of the following: physiological information of the monitoring object, ventilation parameter information of a medical ventilation device used by the monitoring object, and treatment information for the monitoring object.

[0185] determine a plurality of influence factors and an influence degree corresponding to each of the influence factors according to the correlation information, wherein the influence factors are selected from the correlation information or determined according to a plurality of the correlation information, and the influence degree corresponding to one influence factor is used to indicate an influence degree of the influence factor on offline success or offline failure;

[0186] determine and display offline prompt information according to the influence degree corresponding to each of the influence factors;

[0187] determine and display a target influence factor according to the influence degree corresponding to each of the influence factors, wherein the target influence factor includes at least one of the plurality of influence factors;

[0188] obtain updated correlation information, and update the displayed offline prompt information and / or the target influence factor according to the updated correlation information.

[0189] The processor 601 is configured to run a computer program stored in the memory 602, and implement the following steps when the computer program is executed:

[0190] obtain correlation information of a monitored object switching to invasive ventilation, wherein the correlation information includes at least one of physiological information of the monitored object, ventilation parameter information of a medical ventilation device used by the monitored object, and treatment information for the monitored object;

[0191] determine a plurality of influence factors and an influence degree corresponding to each of the influence factors according to the correlation information, wherein the influence factors are selected from the correlation information or determined according to a plurality of the correlation information, and the influence degree corresponding to one influence factor is used to indicate an influence degree of the influence factor on whether to switch to invasive ventilation;

[0192] determine and display switching prompt information according to the influence degree corresponding to each of the influence factors;

[0193] determine and display a target influence factor according to the influence degree corresponding to each of the influence factors, wherein the target influence factor includes at least one of the plurality of influence factors;

[0194] obtain updated correlation information, and update the displayed switching prompt information and / or the target influence factor according to the updated correlation information.

[0195] The specific principles and implementation manners of the electronic device provided by the embodiments of the present application are similar to the information display method of the medical ventilation system of the foregoing embodiments, and will not be described herein.

[0196] The embodiment of the present application further provides a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to make the processor implement the steps of the information display method of the medical ventilation system provided by the above embodiment.

[0197] The computer readable storage medium can be an internal storage unit of the electronic device, such as a hard disk or a memory of the electronic device. The computer readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc.

[0198] It should be understood that the terms used in the present application are merely for the purpose of describing particular embodiments and are not intended to limit the present application.

[0199] It should also be understood that the term "and / or" used in the present application and the appended claims means any combination of one or more of the associated listed terms and all possible combinations, and includes these combinations.

[0200] The above merely describes specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method of displaying information of a medical ventilation system, characterized by, The method comprises: obtaining associated information of performing offline operation on a monitoring object, the associated information comprising at least one of the following: physiological information of the monitoring object, ventilation parameter information of a medical ventilation device used by the monitoring object, and treatment information for the monitoring object; determining a plurality of influence factors and influence degrees corresponding to each of the influence factors according to the associated information, wherein the influence factors are selected from the associated information or determined according to a plurality of the associated information, and the influence degree corresponding to an influence factor is used to indicate the influence degree of the influence factor on offline success or offline failure; determining and displaying offline prompt information according to the influence degrees corresponding to each of the influence factors; determining and displaying a target influence factor according to the influence degrees corresponding to each of the influence factors, wherein the target influence factor comprises at least one of the plurality of influence factors; obtaining updated associated information, and updating the displayed offline prompt information and / or the target influence factor according to the updated associated information.

2. The information display method according to claim 1, characterized by, The influence factors comprise positive influence factors and / or negative influence factors; wherein the influence degree corresponding to a positive influence factor is used to indicate that the positive influence factor can improve the offline success rate and / or reduce the offline failure risk, the influence degree corresponding to a negative influence factor is used to indicate that the negative influence factor can reduce the offline success rate and / or increase the offline failure risk, and / or a value of at least one of the positive influence factors is within a corresponding preset range, and / or a value of at least one of the negative influence factors is outside the preset range; and / or the influence degrees corresponding to the influence factors are determined according to the associated information based on a preset statistical model and / or a machine learning model and / or a deep learning model.

3. The information display method according to claim 1, characterized by, The offline prompt information comprises at least one of the following: offline success rate, offline failure risk, operation suggestion capable of improving the offline success rate and / or reducing the offline failure risk, prediction of changes in the offline success rate and / or the offline failure risk after execution of the operation suggestion.

4. The information display method according to claim 3, characterized by, The operation suggestion comprises at least one of the following: adjusting the ventilation mode of the monitoring object, adjusting the ventilation mode of the medical ventilation device, adjusting the ventilation parameter of the medical ventilation device, and treatment suggestion.

5. The information display method according to claim 4, characterized by The operation suggestion comprises at least one of the following: operation suggestion determined according to a positive influence factor and / or a negative influence factor in the influence factors; operation suggestion determined according to an influence factor whose influence degree has an absolute value greater than or equal to a preset threshold value; operation suggestion determined according to an influence factor; 6. The information display method according to claim 1, wherein operation suggestion determined according to a preset factor combination, wherein the factor combination comprises a plurality of the influence factors, and operation suggestion determined according to a change trend of the influence degree corresponding to at least one of the influence factors. When the target influence factor is displayed, the identification of the target influence factor and at least one of the following is displayed: the value of the target influence factor, the preset range corresponding to the target influence factor, and the influence degree corresponding to the target influence factor.

7. The information display method according to claim 1, wherein When the target influence factor comprises at least two influence factors, the display order of the at least two influence factors is arranged according to the magnitude of the influence degree corresponding to each of the at least two influence factors.

8. The information display method according to any one of claims 1-7, characterized in that, the target influence factor is determined and displayed according to the influence degree corresponding to each of the influence factors, comprising: determining, as the target influence factor, an influence factor in the plurality of influence factors whose absolute value of influence degree is greater than or equal to a first preset threshold value; or the influence factors comprise positive influence factors and / or negative influence factors, and the target influence factor is determined as a first number of positive influence factors and / or a second number of negative influence factors in the plurality of influence factors; the absolute value of the influence degree corresponding to the first number of positive influence factors is greater than the absolute value of the influence degree corresponding to the remaining positive influence factors, and the absolute value of the influence degree corresponding to the second number of negative influence factors is greater than the absolute value of the influence degree corresponding to the remaining negative influence factors.

9. The information display method according to any one of claims 1 to 7, characterized by, the target influence factor comprises a main influence factor and an auxiliary influence factor; the absolute value of the influence degree corresponding to the main influence factor is greater than or equal to a second preset threshold value, and the absolute value of the influence degree corresponding to the auxiliary influence factor is less than the second preset threshold value.

10. The information display method according to claim 9, wherein the target influence factor is displayed, comprising: displaying the main influence factor on a first display interface and displaying the auxiliary influence factor on a second display interface; or displaying the main influence factor on a first region and displaying the auxiliary influence factor on another region of the same display interface; or alternately displaying the main influence factor and the auxiliary influence factor on the same display interface; or displaying the main influence factor on a first display and displaying the auxiliary influence factor on a second display.

11. The information display method according to claim 9, wherein When the main influence factor is displayed, at least the influence degree corresponding to the main influence factor is displayed.

12. The information display method according to any one of claims 1 to 7, wherein the updated associated information is obtained, and the displayed offline prompt information and / or target influence factor is updated according to the updated associated information, comprising at least one of the following: the updated associated information is obtained according to a preset update period, and the displayed offline prompt information and / or target influence factor is updated according to the updated associated information; the updated associated information is obtained according to a user update control operation, and the displayed offline prompt information and / or target influence factor is updated according to the updated associated information; when at least one of the changes in the associated information meets a preset judgment condition, the updated associated information is obtained, and the displayed offline prompt information and / or target influence factor is updated according to the updated associated information.

13. The information display method according to any one of claims 1 to 7, wherein the offline prompt information is an offline success rate and / or an offline failure risk, and the method further comprises: displaying a trend chart / table of the value of at least one of the influence factors; and According to the offline success rates determined at different times, a trend chart / table of the offline success rates is displayed, and / or according to the offline failure risks determined at different times, a trend chart / table of the offline failure risks is displayed; The trend chart / table of the influence factors is displayed based on the same time dimension as the trend chart / table of the offline success rates and / or the trend chart / table of the offline failure risks.

14. The information display method according to claim 13, wherein The method further comprises: determining the change amount of the value of at least one of the influence factors within a target time period; determining the change amount of the offline success rates within the target time period, and / or the change amount of the offline failure risks within the target time period; displaying the change amount of the value of at least one of the influence factors within the target time period, and the change amount of the offline success rates and / or the change amount of the offline failure risks.

15. A method of displaying information of a medical ventilation system, characterized by comprises: obtaining associated information related to switching to invasive ventilation for a monitoring object, the associated information comprising at least one of: physiological information of the monitoring object, ventilation parameter information of a medical ventilation device used by the monitoring object, treatment information for the monitoring object; determining a plurality of influence factors and an influence degree corresponding to each of the influence factors according to the associated information, wherein the influence factors are selected from the associated information or determined according to a plurality of the associated information, and the influence degree corresponding to an influence factor is used to indicate the influence degree of the influence factor on whether to switch to invasive ventilation; determining and displaying switching prompt information according to the influence degree corresponding to each of the influence factors; determining and displaying a target influence factor according to the influence degree corresponding to each of the influence factors, the target influence factor comprising at least one of the plurality of influence factors; obtaining updated associated information, and updating the displayed switching prompt information and / or the target influence factor according to the updated associated information.

16. The information display method according to claim 15, wherein The influence factors comprise positive influence factors and / or negative influence factors; wherein the influence degree corresponding to a positive influence factor is used to indicate that the positive influence factor can reduce the necessity of switching to invasive ventilation; the influence degree corresponding to a negative influence factor is used to indicate that the negative influence factor can increase the necessity of switching to invasive ventilation; and / or The influence degree corresponding to the influence factor is determined according to the associated information based on a preset statistical model and / or a machine learning model and / or a deep learning model.

17. The information display method according to claim 15, wherein The obtaining of the updated associated information and the updating of the displayed switching prompt information and / or the target influence factor according to the updated associated information comprises at least one of: obtaining the updated associated information according to a preset update period, and updating the displayed switching prompt information and / or the target influence factor according to the updated associated information; obtaining the updated associated information according to a user's update control operation, and updating the displayed switching prompt information and / or the target influence factor according to the updated associated information; When at least one of the changes in the associated information meets a preset judgment condition, updated associated information is obtained, and the displayed switching prompt information and / or the target influence factor are updated according to the updated associated information.

18. The information display method according to any one of claims 15 to 17, wherein, The switching prompt information includes a necessity degree of switching to invasive ventilation. The method further includes: displaying a trend chart / table of the value of at least one of the influence factors; and displaying a trend chart / table of the necessity degree of switching to invasive ventilation determined at multiple different time points; The trend chart / table of the influence factor and the trend chart / table of the necessity degree are displayed based on the same time dimension.

19. An electronic device, comprising: Comprise: one or more processors, working individually or collectively, to execute: the steps of the information display method of the medical ventilation system according to any one of claims 1-18.

20. A medical ventilation device, characterized by Comprise: a pressure generating device; a ventilation pipeline, the pressure generating device being configured to communicate with the ventilation pipeline to provide ventilation to a monitored subject through the ventilation pipeline; a display; a processor, the processor being configured to execute: the steps of the information display method of the medical ventilation system according to any one of claims 1-18.

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