Medical equipment management method and system

Abstract

The present application relates to the technical field of medical care informatics, and in particular to a medical equipment management method and system. A medical equipment management method, the medical equipment management method comprising the following steps: obtaining each breathing stage of a ventilator, the breathing stage comprising a continuous inhalation stage and an exhalation stage; obtaining the blood oxygen saturation of the blood oximeter corresponding to the inhalation stage and the exhalation stage; inputting the blood oxygen saturation sequence of a breathing stage into a preset abnormal analysis formula to determine the type of the blood oxygen saturation sequence obtained for the breathing stage; and adjusting the processed blood oxygen saturation data of the blood oximeter in the inhalation stage and the exhalation stage of the breathing stage according to the type of the blood oxygen saturation sequence. The present application provides a medical equipment management method and system, which can make the blood oxygen data more accurately reflect the patient's actual oxygenation status.

Description

Technical Field

[0001] The present application relates to the technical field of medical care informatics, and in particular to a medical equipment management method and system. Background Art

[0002] With the advancement of medical technology, the coordinated use of various medical devices has become a routine treatment method.

[0003] Among them, the ventilator helps the patient maintain the necessary gas exchange by supporting or completely taking over the patient's breathing process. The blood oxygen monitoring device can be used to obtain blood oxygen saturation in real time to evaluate the patient's oxygenation status.

[0004] However, there are still some problems in the prior art, which result in the blood oxygen data being unable to accurately reflect the patient's actual oxygenation status when the ventilator and the blood oxygen monitoring device are used in conjunction. Summary of the invention

[0005] In order to solve the above technical problems or at least partially solve the above technical problems, the present application provides a medical equipment management method and system, which can make the blood oxygen data more accurately reflect the patient's actual oxygenation status.

[0006] In a first aspect, the present application provides a medical device management method, the medical device management method comprising the following steps:

[0007] Acquire each breathing phase of the ventilator, wherein the breathing phase includes a continuous inhalation phase and an exhalation phase;

[0008] Obtain the blood oxygen saturation corresponding to the inhalation and exhalation phases from the oximeter;

[0009] Inputting a blood oxygen saturation sequence of a breathing stage into a preset abnormal analysis formula to determine the type of the blood oxygen saturation sequence obtained in the breathing stage;

[0010] According to the type of the blood oxygen saturation sequence, the processed blood oxygen saturation data of the blood oximeter in the inhalation phase and the exhalation phase of the breathing phase are respectively adjusted.

[0011] Optionally, inputting a blood oxygen saturation sequence of a breathing stage into a preset abnormality analysis formula to determine the type of the blood oxygen saturation sequence obtained in the breathing stage includes the following steps:

[0012] The abnormal analysis formula is:

[0013]

[0014] in:

[0015]

[0016] in, is an outlier, D is a sensitive factor, is the rate of change of blood oxygen saturation over time in a respiratory cycle, is the number of blood oxygen saturation data contained in a respiratory cycle, is the first parameter of the preset. is the preset second parameter, is the average value of the blood oxygen saturation change rate, Indicates the standard deviation of the rate of change of blood oxygen saturation;

[0017] when , judged as normal type;

[0018] when , judged as heart failure type;

[0019] when , diagnosed as chronic obstructive pulmonary disease type;

[0020] in, is the preset first threshold, is a preset second threshold.

[0021] Optionally, according to the type of the blood oxygen saturation sequence, respectively adjusting the processed blood oxygen saturation data of the blood oximeter in the inhalation phase and the exhalation phase in the breathing phase, comprises the following steps:

[0022] When the type of the blood oxygen saturation sequence is determined to be a heart failure type, the length of the smoothing time window for smoothing the blood oxygen saturation in the current breathing stage is extended.

[0023] When the type of the blood oxygen saturation sequence is determined to be a chronic obstructive pulmonary disease type, the length of the smoothing time window for smoothing the blood oxygen saturation is shortened in the exhalation phase of the current breathing phase.

[0024] Optionally, the length of the smoothing time window for smoothing the blood oxygen saturation at each moment is calculated by the following method:

[0025]

[0026]

[0027]

[0028] in, is the length of the smoothing time window for smoothing the blood oxygen saturation in the current breathing stage, is the length of the benchmark smoothing time window, is the length of the smoothing time window for smoothing the blood oxygen saturation in the exhalation phase of the current breathing phase, is the length of the smoothing time window for smoothing the blood oxygen saturation during the inhalation phase of the current breathing phase, is the preset first adjustment coefficient, is the preset second adjustment coefficient.

[0029] Optionally, the medical device management method further comprises the following steps:

[0030] According to the type of blood oxygen saturation sequence, the working strategy of the ventilator in the inspiration and expiration phases is adjusted, including the following steps:

[0031] When diagnosed as heart failure, the ventilator's gas pressure and the duration of the inspiratory phase are increased;

[0032] When the patient is diagnosed with chronic obstructive pulmonary disease, the working state of the ventilator is set to a working mode with positive end-expiratory pressure.

[0033] In a second aspect, the present application provides a medical device management system, which includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement a medical device management method as described in any one of the first aspects.

[0034] Compared with the prior art, the technical solution provided by this application has the following advantages:

[0035] In the prior art, although the intervention of a ventilator is the key to supporting respiratory function, it will have different degrees of impact on the blood oxygen saturation data, especially when facing patients with different pathological characteristics. Therefore, the blood oxygen saturation data directly obtained by the prior art cannot more accurately reflect the patient's true oxygenation status.

[0036] For example, when dealing with patients with chronic obstructive pulmonary disease (COPD) and heart failure, the difference in the oxygen saturation data caused by the ventilator is mainly due to the different effects of these two diseases on the respiratory physiological mechanism, resulting in differences in the changes in the oxygen saturation data:

[0037] For patients with heart failure, their heart's ability to pump blood is insufficient, resulting in insufficient oxygen supply to tissues and organs throughout the body. Although ventilators can increase lung oxygenation and the amount of inhaled oxygen, the low output of the heart limits the effective transport of oxygen to peripheral tissues, so the change in oxygen content is slower than that of normal people. Therefore, compared with normal patients, the time window for data smoothing needs to be extended to reduce the blood oxygen fluctuations caused by insufficient pumping, so as to more accurately monitor and evaluate the actual oxygenation status of patients with heart failure.

[0038] For COPD patients, due to the increase in airway resistance and the influence of emphysema, the effective breathing area is reduced, and even with increased oxygen supply, the increase in blood oxygen saturation may not be significant. Therefore, with the assistance of a ventilator, monitoring blood oxygen during the inspiratory phase may not accurately reflect the patient's oxygenation level. On the contrary, blood oxygen readings during the expiratory phase can better reflect the patient's baseline oxygenation status, because CO2 has been partially discharged at this time, and the oxygen saturation measurement results may be closer to the patient's actual oxygenation level. Therefore, it is necessary to shorten the time window for data smoothing so that a more sensitive monitoring strategy can be used to capture and process blood oxygen saturation data, thereby more accurately monitoring and evaluating the actual oxygenation status of heart failure patients.

[0039] In the first part, the present application can more effectively and truly reflect the actual oxygenation status of different types of patients such as heart failure and COPD patients by using an abnormal analysis formula and a method for dynamically adjusting the blood oxygen saturation data smoothing processing based on the results.

[0040] In the second part, the application dynamically adjusts the length of the smoothing window through the R value, and the method can flexibly respond to the patient's rehabilitation process and treatment response. As the patient's condition improves, the adjustment amplitude will gradually decrease and eventually return to the baseline window length. This gradual adjustment mechanism can reflect the changes in the patient's physiological state with treatment and rehabilitation in real time.

[0041] Therefore, the present application provides a medical device management method and system, which can make the blood oxygen data more accurately reflect the patient's actual oxygenation condition. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A flowchart of a medical device management method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] The technical solution in this application will be described below in conjunction with the accompanying drawings.

[0044] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application can also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only part of the embodiments of the present application, not all of the embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0045] In the existing technology, although the intervention of the ventilator is the key to supporting respiratory function, it will have different degrees of impact on the blood oxygen saturation data, especially when facing patients with different pathological characteristics. Therefore, the blood oxygen saturation data of the existing technology cannot more accurately reflect the patient's true oxygenation status under such influence. For example, when treating patients with chronic obstructive pulmonary disease (COPD) and heart failure, the difference in blood oxygen saturation data caused by the operation of the ventilator is mainly due to the different effects of these two diseases on the respiratory physiological mechanism, resulting in differences in the performance of the final blood oxygen saturation data.

[0046] In a first aspect, the present application provides a medical device management method, the medical device management method comprising the following steps:

[0047] S101: Acquire each breathing phase of the ventilator, where the breathing phase includes a continuous inhalation phase and an exhalation phase.

[0048] Specifically, the time period from when the airway pressure of the ventilator starts to rise or the flow starts to increase from zero to when the set inspiratory peak is reached is obtained, which is recorded as an inspiratory stage.

[0049] An exhalation phase starts from the end of inspiration, that is, the airflow begins to decrease or the pressure begins to drop, and lasts until the last moment before the next inspiration cycle begins.

[0050] The data here can be directly obtained from the data development interface provided by the ventilator, or an airflow sensor can be set up to divide the time periods corresponding to the inhalation phase and the exhalation phase.

[0051] S102: Obtain the blood oxygen saturation corresponding to the inhalation phase and the exhalation phase of the blood oxygen meter.

[0052] The blood oxygen saturation data obtained here is the raw blood oxygen saturation data without data processing. Generally speaking, the blood oxygen saturation data can be collected at very short time intervals (usually multiple times per second) to ensure that any subtle changes in blood oxygen saturation can be captured in real time. These raw data are usually obtained at a high frequency and can provide accurate monitoring of rapid changes in the patient's physiological state. Although the blood oxygen meter can collect data at a high frequency, the data displayed to medical staff is usually averaged and smoothed for the simplicity of the user interface and to avoid information overload.

[0053] S103: Inputting a blood oxygen saturation sequence of a breathing stage into a preset abnormality analysis formula to determine the type of the blood oxygen saturation sequence obtained in the breathing stage.

[0054] Specifically, the following steps are included:

[0055] The abnormal analysis formula is:

[0056]

[0057] in:

[0058]

[0059] in, is an outlier, D is a sensitive factor, is the rate of change of blood oxygen saturation over time in a respiratory cycle, is the number of blood oxygen saturation data contained in a respiratory cycle, is the first parameter of the preset. is the preset second parameter, is the average value of the blood oxygen saturation change rate, Indicates the standard deviation of the rate of change of blood oxygen saturation;

[0060] when , judged as normal type;

[0061] when , judged as heart failure type;

[0062] when , diagnosed as chronic obstructive pulmonary disease type;

[0063] in, is the preset first threshold, is a preset second threshold.

[0064] Specifically, ΔS(t) is the difference between the current blood oxygen saturation data and the previous blood oxygen saturation data.

[0065] The first threshold is used to distinguish whether a patient is a COPD patient, and the second threshold is used to distinguish whether a patient is a heart failure patient, both of which are values ​​set in advance based on experience.

[0066] Its specific working principle is:

[0067] Since individuals in a normal state show stable changes in blood oxygen, and Both were at very low levels, with the lowest D value and the lowest R value, reflecting a stable physiological state.

[0068] Patients with heart failure will show a lower rate of change of blood oxygen during both inspiration and expiration, resulting in and The deviation from normal is also moderate. This makes the D value moderate, so the R value is lower than COPD but higher than normal.

[0069] Due to airflow limitation and reduced gas exchange efficiency, COPD patients have little change in blood oxygen saturation during the early inspiratory phase, but improve blood oxygen saturation during the later exhalation phase due to the discharge of carbon dioxide, showing an overall and The deviation is large, so the D value is higher than the normal state, making the R value high.

[0070] S104: According to the type of the blood oxygen saturation sequence, respectively adjust and obtain processed blood oxygen saturation data of the blood oximeter in the inhalation phase and the exhalation phase of the breathing phase.

[0071] Specifically, the following steps are included:

[0072] When the type of the blood oxygen saturation sequence is determined to be a heart failure type, the length of the smoothing time window for smoothing the blood oxygen saturation in the current breathing stage is extended.

[0073] When the type of the blood oxygen saturation sequence is determined to be a chronic obstructive pulmonary disease type, the length of the smoothing time window for smoothing the blood oxygen saturation is shortened in the exhalation phase of the current breathing phase.

[0074] Finally, the blood oxygen saturation data of the breathing stage is processed using a simple moving average algorithm and a smoothing time window with an adjusted smoothing time window length to obtain processed blood oxygen saturation data.

[0075] Its specific working principle is that for patients with heart failure, their heart's ability to pump blood is insufficient, resulting in insufficient oxygen supply to tissues and organs throughout the body. Although the ventilator can increase lung oxygenation and increase the amount of inhaled oxygen, the low output of the heart limits the effective transport of oxygen to the surrounding tissues, so the change in oxygen content is slower than that of normal people. Therefore, compared with normal patients, the time window for data smoothing needs to be extended to reduce the blood oxygen fluctuations caused by insufficient pumping, so as to more accurately monitor and evaluate the actual oxygenation status of patients with heart failure.

[0076] For COPD patients, due to the increase in airway resistance and the influence of emphysema, the effective breathing area is reduced, and even with increased oxygen supply, the increase in blood oxygen saturation may not be significant. Therefore, with the assistance of a ventilator, monitoring blood oxygen during the inspiratory phase may not accurately reflect the patient's oxygenation level. On the contrary, blood oxygen readings in the late exhalation phase can better reflect the patient's baseline oxygenation status, because CO2 has been partially discharged at this time, and the oxygen saturation measurement results may be closer to the patient's actual oxygenation level. Therefore, it is necessary to shorten the time window for data smoothing so that a more sensitive monitoring strategy can be used to capture and process blood oxygen saturation data, thereby more accurately monitoring and evaluating the actual oxygenation status of heart failure patients.

[0077] Specifically, the length of the smoothing time window for smoothing the blood oxygen saturation at each moment is calculated by the following method:

[0078]

[0079]

[0080]

[0081] in, is the length of the smoothing time window for smoothing the blood oxygen saturation in the current breathing stage, is the length of the benchmark smoothing time window, which is set by humans in advance based on experience. is the length of the smoothing time window for smoothing the blood oxygen saturation in the exhalation phase of the current breathing phase, is the length of the smoothing time window for smoothing the blood oxygen saturation during the inhalation phase of the current breathing phase, is the preset first adjustment coefficient, is the preset second adjustment coefficient.

[0082] Its specific working principle and beneficial effects are:

[0083] First, when the patient is of the heart failure type, a smoothing time window larger than the smoothing time window used in the normal type can be obtained to smooth the blood oxygen saturation data. When the patient is of the COPD type, a smoothing time window smaller than the smoothing time window used in the normal type can be obtained in the exhalation phase to smooth the blood oxygen saturation data. Thus, the functions described in the above embodiment are realized.

[0084] Second, the present application can flexibly respond to the patient's recovery progress and treatment response. The present application can dynamically adjust the smoothing window length based on the real-time R value. Therefore, as the patient recovers or responds to treatment, the R value should gradually decrease, so as the patient's recovery improves, the adjustment amplitude is gradually reduced to restore the baseline window length. The advantage of this method is that it can reflect the changes in the patient's physiological state in real time, and as the R value approaches the normal range, it gradually reduces the reliance on data smoothing, thereby providing a natural recovery path. This gradual adjustment mechanism can provide blood oxygen saturation data that is more in line with actual dynamic changes.

[0085] Specifically, the medical equipment management method further includes the following steps:

[0086] According to the type of blood oxygen saturation sequence, the working strategy of the ventilator in the inspiration and expiration phases is adjusted, including the following steps:

[0087] When diagnosed with heart failure, the ventilator's gas pressure and the duration of the inspiratory phase are increased;

[0088] When the patient is diagnosed with chronic obstructive pulmonary disease, the working state of the ventilator is set to a working mode with positive end-expiratory pressure.

[0089] Specifically, corresponding setting prompts can be issued to instruct medical staff to make corresponding settings for the ventilator, or the configured ventilator configuration for heart failure patients and COPD patients can be called to configure the ventilator working mode.

[0090] In summary, the present application provides a medical device management method, the beneficial effects of which include the following parts:

[0091] In the first part, the present application can more effectively and truly reflect the actual oxygenation status of different types of patients such as heart failure and COPD patients by using an abnormal analysis formula and a method of dynamically adjusting data smoothing processing based on the results.

[0092] In the second part, the application dynamically adjusts the length of the smoothing window through the R value, and the method can flexibly respond to the patient's rehabilitation process and treatment response. As the patient's condition improves, the adjustment amplitude will gradually decrease and eventually return to the baseline window length. This gradual adjustment mechanism can reflect the changes in the patient's physiological state with treatment and rehabilitation in real time.

[0093] In a second aspect, the present application provides a medical device management system, which includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement the medical device management method as described in the above embodiments.

[0094] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. In addition, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements. Moreover, in the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can represent A or B; "and / or" in this article is only a kind of association relationship describing the associated objects, indicating that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. Furthermore, in the description of the embodiments of the present application, “plurality” refers to two or more than two.

[0095] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A medical equipment management method, characterized in that: The medical equipment management method comprises the following steps: Acquire each breathing phase of the ventilator, wherein the breathing phase includes a continuous inhalation phase and an exhalation phase; Obtain the blood oxygen saturation corresponding to the inhalation and exhalation phases from the oximeter; Inputting a blood oxygen saturation sequence of a breathing stage into a preset abnormal analysis formula to determine the type of the blood oxygen saturation sequence obtained in the breathing stage; According to the type of the blood oxygen saturation sequence, respectively adjusting and obtaining processed blood oxygen saturation data of the blood oxygen meter in the inhalation phase and the exhalation phase of the breathing phase; Inputting a blood oxygen saturation sequence of a breathing stage into a preset abnormal analysis formula to determine the type of the blood oxygen saturation sequence of the breathing stage, includes the following steps: The abnormal analysis formula is: in: in, is an outlier, D is a sensitive factor, is the rate of change of blood oxygen saturation over time in a respiratory cycle, is the number of blood oxygen saturation data contained in a respiratory cycle, is the first parameter of the preset. is the preset second parameter, is the average value of the blood oxygen saturation change rate, Indicates the standard deviation of the rate of change of blood oxygen saturation; when , judged as normal type; when , judged as heart failure type; when , diagnosed as chronic obstructive pulmonary disease type; in, is the preset first threshold, is a preset second threshold.

2. The medical equipment management method according to claim 1, characterized in that: According to the type of the blood oxygen saturation sequence, respectively adjusting and obtaining processed blood oxygen saturation data of the blood oxygen meter in the inhalation phase and the exhalation phase in the breathing phase, comprises the following steps: When the type of the blood oxygen saturation sequence is determined to be a heart failure type, extending the length of the smoothing time window for smoothing the blood oxygen saturation in the current breathing stage; When the type of the blood oxygen saturation sequence is determined to be a chronic obstructive pulmonary disease type, the length of the smoothing time window for smoothing the blood oxygen saturation is shortened in the exhalation phase of the current breathing phase.

3. The medical equipment management method according to claim 2, characterized in that: The length of the smoothing time window for smoothing the blood oxygen saturation at each moment is calculated by the following method: in, is the length of the smoothing time window for smoothing the blood oxygen saturation in the current breathing stage, is the length of the benchmark smoothing time window, is the length of the smoothing time window for smoothing the blood oxygen saturation in the exhalation phase of the current breathing phase, is the length of the smoothing time window for smoothing the blood oxygen saturation during the inhalation phase of the current breathing phase, is the preset first adjustment coefficient, is the preset second adjustment coefficient.

4. The medical equipment management method according to claim 1, characterized in that: The medical device management method further comprises the following steps: According to the type of blood oxygen saturation sequence, the working strategy of the ventilator in the inspiratory and expiratory phases is adjusted, including the following steps: When diagnosed as heart failure, the ventilator's gas pressure and the duration of the inspiratory phase are increased; When the patient is diagnosed with chronic obstructive pulmonary disease, the working state of the ventilator is set to a working mode with positive end-expiratory pressure.

5. Medical equipment management system, characterized in that, The medical device management system includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the medical device management method as described in any one of claims 1-4.

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