An ICU nursing method and nursing pad based on intelligent sensing

Abstract

The present invention provides an ICU nursing method and a nursing pad based on intelligent sensing, which belong to the technical field of nursing devices, and specifically include: determining the secretion volume and processing time of a patient's different historical secretion times on the current date, and determining the patient's treatment priority type in combination with the patient's secretion monitoring data, and sending the treatment priority type to a nursing staff. After the treatment is completed, the patient's recommended massage method is determined based on the patient's historical secretion monitoring data and processing data within a preset time period, and the patient's perianal skin is massaged using the recommended massage method, thereby ensuring the health of the patient's perianal skin.

Description

Technical Field

[0001] The present invention belongs to the technical field of nursing devices, and in particular relates to an ICU nursing method and a nursing pad based on intelligent sensing. Background Art

[0002] ICU is the Intensive Care Unit, also known as the comprehensive treatment room of the intensive care unit, which provides isolation places and equipment for critically ill or comatose patients. Since patients in the ICU ward often do not have the ability to take care of themselves, in order to improve the level of care, in the invention patent application CN202210711299.6 "A perineum care device", the temperature and humidity of the affected area are monitored in real time through temperature sensors and humidity sensors, and an automatic alarm is automatically given when the alarm limit is exceeded, and automatic control modes such as automatic ventilation and automatic heating are adopted to improve safety. However, it is not difficult to find through analysis that there are the following technical problems:

[0003] Existing technical solutions cannot solve the anal skin care problems faced by patients with hemiplegia due to cerebral infarction or incontinence in the ICU. If not cared for for a long time, pressure sores and other conditions may occur. Therefore, how to achieve anal skin care has become a technical problem that needs to be solved urgently.

[0004] In view of the above technical problems, the present invention provides an ICU nursing method and a nursing pad based on intelligent sensing. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] According to one aspect of the present invention, an ICU nursing method based on intelligent sensing is provided.

[0007] An ICU nursing method based on intelligent sensing, specifically comprising:

[0008] S1 obtains historical monitoring data of anal secretions of a patient, determines the monitoring frequency of secretions of the patient in different time intervals by using the historical monitoring data, and determines the real-time monitoring frequency of the patient by the monitoring frequency of secretions in different time intervals and the response processing time of the nursing staff on the current date;

[0009] S2: Based on the real-time monitoring frequency and the intelligent sensing device of the nursing pad, the patient's anal secretions are monitored and processed to obtain monitoring data, and it is determined whether the patient has secretions. If yes, the next step is entered; if no, the next step is entered; S4 is entered;

[0010] S3 determines the secretion volume and treatment time of the patient's different historical secretion times on the current date, and determines the treatment priority type of the patient in combination with the patient's secretion monitoring data, and sends the treatment priority type to the nursing staff until the treatment is completed, and then proceeds to the next step;

[0011] S4 determines the recommended massage method for the patient based on the historical monitoring data and processing data of the patient's secretions within a preset time period, and uses the recommended massage method to massage the patient's perianal skin.

[0012] A further technical solution is that the historical monitoring data of the secretions is determined based on the analysis results of the monitoring data of the intelligent sensing device of the nursing pad.

[0013] A further technical solution is that the historical monitoring data of secretions includes the historical secretion times of secretions, the time points corresponding to different historical secretion times, and the secretion volume.

[0014] A further technical solution is that the interval time period is divided according to the interval time length with the most recent secretion moment of the patient, and specifically the interval time length is divided into different interval time periods according to a preset unit time length.

[0015] A further technical solution is to determine that the processing is complete, specifically including:

[0016] The body pressure of the patient is acquired by using the intelligent sensing device of the nursing pad, and when the body pressure of the patient no longer changes, it is determined that the treatment is completed.

[0017] A further technical solution is that the method for determining the recommended massage method for the patient is:

[0018] Determine the historical secretion times of the patient on different days within the preset time period based on the historical monitoring data and processing data of the patient's secretions within the preset time period;

[0019] Determine massage demand values ​​for different dates based on the historical secretion times on different dates within a preset time period, the processing time and secretion volume of different historical secretion times;

[0020] The weight values ​​of different dates are determined by using the interval lengths between different dates and the current date, the comprehensive massage requirement value of the patient is determined by the weight values ​​of different dates and the massage requirement values, and the recommended massage method for the patient is determined based on the comprehensive massage requirement value.

[0021] A further technical solution is that the recommended massage method includes a massage cycle and a single massage duration.

[0022] In a second aspect, the present application provides a nursing pad, which adopts the above-mentioned ICU nursing method based on intelligent sensing, specifically comprising:

[0023] Monitoring frequency assessment module, monitoring data acquisition module, priority type determination module, massage processing module;

[0024] The monitoring frequency evaluation module is responsible for obtaining the historical monitoring data of the patient's anal secretions, determining the monitoring frequency of the patient's secretions in different time intervals by using the historical monitoring data, and determining the real-time monitoring frequency of the patient by the monitoring frequency of the secretions in different time intervals and the response processing time of the nursing staff on the current date;

[0025] The monitoring data acquisition module is responsible for monitoring and processing the patient's anal secretions based on the real-time monitoring frequency and the intelligent sensing device of the nursing pad to obtain monitoring data;

[0026] The priority type determination module is responsible for determining the secretion volume and treatment duration of the patient's different historical secretion times on the current date, and determining the treatment priority type of the patient in combination with the patient's secretion monitoring data, and sending the treatment priority type to the nursing staff;

[0027] The massage processing module is responsible for determining the recommended massage method for the patient based on the historical monitoring data and processing data of the patient's secretions within a preset time period, and using the recommended massage method to perform massage treatment on the patient's perianal skin.

[0028] The beneficial effects of the present invention are:

[0029] 1. In the present invention, the patient's treatment priority type is determined by utilizing the patient's secretion volume, treatment time, and secretion monitoring data at different historical secretion times on the current date, thereby avoiding the technical problem of patients with a high degree of treatment urgency not being treated in time due to failure to distinguish treatment priority types, improving the treatment efficiency of patients with a large number of historical analysis times and a large amount of secretion, and avoiding impacts on the patient's perianal skin.

[0030] 2. In the present invention, the recommended massage method for the patient is determined based on the historical monitoring data and processing data of the patient's secretions within a preset time period, thereby realizing the determination of differentiated recommended massage methods from the perspective of the patient's real needs. It not only takes into account the influence of the historical number of secretions and the amount of secretions, but also further combines the processing time of the secretions to achieve accurate assessment of the massage needs of different patients, thereby ensuring the safety of the user's perianal skin.

[0031] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0032] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0034] Figure 1 It is a flow chart of ICU nursing method based on intelligent sensing;

[0035] Figure 2 is a flow chart of a method for determining the monitoring frequency of secretions within an interval time period;

[0036] Figure 3 is a flow chart of a method for determining a treatment priority type for a patient;

[0037] Figure 4 A flowchart of a method for determining a recommended massage modality for a patient;

[0038] Figure 5 It is a frame diagram of a nursing pad. DETAILED DESCRIPTION

[0039] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0040] The existing technical solutions cannot solve the anal skin care problems faced by patients with cerebral infarction, hemiplegia, or urinary and fecal incontinence in the ICU. If not cared for for a long time, pressure sores and other conditions may occur. Therefore, the sensing data of the nursing pad based on intelligent sensing is used to achieve anal skin care.

[0041] Monitoring frequency: It is determined based on the number of secretions in different time intervals, and the monitoring frequency is determined by the mapping relationship between the number of secretions and the preset monitoring frequency.

[0042] Real-time monitoring frequency of patients: The modified frequency factor is determined according to the response processing time of the nursing staff on the current date, where the value of the modified frequency factor is between 0.5 and 1.5. The real-time monitoring frequency of the patient is determined according to the product of the modified frequency factor and the monitoring frequency.

[0043] The patient's treatment priority type: determined according to the secretion duration, the secretion volume of different historical secretion times, and the treatment time. Specifically, the maximum value of the preset treatment priority types corresponding to the secretion duration, the secretion volume of different historical secretion times, and the treatment time is used as the patient's priority treatment type.

[0044] Recommended massage method: It is determined according to the number of secretions within a preset time period and the processing time for different secretion numbers, and specifically determined by the number of secretions for which the processing time is greater than the preset time. When the number of secretions for which the processing time is greater than the preset time is more than 3 times, the first massage method is used for massage treatment. When the number of secretions for which the processing time is greater than the preset time is not more than 3 times, the second massage method is used for massage treatment.

[0045] Embodiment 1 To solve the above problem, according to one aspect of the present invention, Figure 1 As shown, an ICU nursing method based on intelligent sensing is provided, which specifically includes:

[0046] S1 obtains historical monitoring data of anal secretions of a patient, determines the monitoring frequency of secretions of the patient in different time intervals by using the historical monitoring data, and determines the real-time monitoring frequency of the patient by the monitoring frequency of secretions in different time intervals and the response processing time of the nursing staff on the current date;

[0047] Furthermore, the historical monitoring data of the secretions is determined based on the analysis results of the monitoring data of the intelligent sensing device of the nursing pad.

[0048] It can be understood that the historical monitoring data of secretions include the historical secretion times of secretions, the time points corresponding to different historical secretion times, and the secretion volume.

[0049] Specifically, the interval time period is divided according to the interval time length from the most recent secretion moment of the patient, and specifically, the interval time length is divided into different interval time periods according to a preset unit time length.

[0050] Specifically, Figure 2 As shown, the method for determining the monitoring frequency of secretions within the interval time period is:

[0051] Determine the patient's historical secretion times within the interval time period based on the historical monitoring data, and use it as the matching secretion times, determine the intervals between the times corresponding to different matching secretion times and the current time, and use the intervals to determine the time period matching coefficients for different matching secretion times;

[0052] Obtaining secretion volumes of secretions with different matching secretion times, and using the secretion volumes to determine monitoring and processing requirement coefficients with different matching secretion times;

[0053] The monitoring and processing requirement coefficients of different matching secretion times and the time period matching coefficients are used to determine the comprehensive matching coefficients of different matching secretion times, the patient secretion probability within the interval time period is determined according to the comprehensive matching coefficients of different matching secretion times, and the monitoring frequency of secretions within the interval time period is determined based on the patient secretion probability.

[0054] Further, determining the monitoring frequency of secretions within the interval time period based on the patient's secretion probability specifically includes:

[0055] A preset monitoring frequency corresponding to the patient's secretion probability is determined based on the patient's secretion probability, and a monitoring frequency of secretions within the interval time period is determined using the preset monitoring frequency.

[0056] It should also be noted that the method for determining the monitoring frequency of secretions within the interval time period is:

[0057] Determine the patient's historical secretion frequency within the interval time period based on the historical monitoring data, and use it as the matching secretion frequency;

[0058] Determine the patient's historical secretion times shorter than the interval time period and historical secretion times longer than the interval time period according to the historical monitoring data, and use them as the short-term secretion times and the overtime secretion times, respectively;

[0059] The patient's secretion probability within the interval time period is determined by the proportion of the matching secretion times in the historical secretion times, the proportion of the short-term secretion times in the historical secretion times, and the proportion of the overtime secretion times in the historical secretion times, and the monitoring frequency of secretions within the interval time period is determined based on the patient's secretion probability.

[0060] It should also be noted that the method for determining the monitoring frequency of secretions within the interval time period is:

[0061] Determine the patient's historical secretion times in the interval time period based on the historical monitoring data, and use it as the matching secretion times, determine whether the proportion of the matching secretion times in the historical secretion times is greater than a preset proportion, and if so, determine the monitoring frequency of secretions in the interval time period using the preset monitoring frequency, and if not, proceed to the next step;

[0062] Determine the patient's historical secretion times less than the interval time period and the historical secretion times greater than the interval time period according to the historical monitoring data, and use them as the short-term secretion times and the overtime secretion times, respectively, and judge whether the proportion of the overtime secretion times in the historical secretion times is less than the preset times. If so, determine the monitoring frequency of secretions in the interval time period using the preset monitoring frequency. If not, proceed to the next step.

[0063] Determine the interval between the time corresponding to different matching secretion times and the current time, use the interval to determine the time period matching coefficient of different matching secretion times, obtain the secretion volume of the secretion with different matching secretion times, and use the secretion volume to determine the monitoring and processing requirement coefficient of different matching secretion times;

[0064] Determine the comprehensive matching coefficients of different matching secretion times by using the monitoring and processing demand coefficients of different matching secretion times and the time period matching coefficients, and judge whether the matching secretion times with the comprehensive matching coefficient greater than the preset matching coefficient are within the preset secretion times interval, if so, determine the monitoring frequency of the secretion within the interval time period by using the preset monitoring frequency, if not, proceed to the next step;

[0065] The patient's secretion probability within the interval time period is determined based on the comprehensive matching coefficients of different matching secretion times, the proportion of the matching secretion times in the historical secretion times, the proportion of the short-term secretion times in the historical secretion times, and the proportion of the overtime secretion times in the historical secretion times, and the monitoring frequency of secretions within the interval time period is determined based on the patient's secretion probability.

[0066] Specifically, the method for determining the real-time monitoring frequency of the patient is:

[0067] Determine the response processing time of the nursing staff for different historical secretion times on the current date based on the historical monitoring data, and determine the average response time of the patient using the average value of the response processing time;

[0068] Determine the interval time period of the patient using the interval time between the current time period and the most recent secretion time period of the patient, and determine the corresponding monitoring frequency according to the interval time period of the patient;

[0069] The average response time is used to determine a monitoring frequency correction value, and the real-time monitoring frequency of the patient is determined according to the product of the monitoring frequency correction value and the corresponding monitoring frequency.

[0070] It can be understood that the monitoring frequency correction value is determined according to the ratio of the average response time to the preset response time.

[0071] It should also be noted that the method for determining the real-time monitoring frequency of the patient is:

[0072] Determine the nursing staff's response processing time for different historical secretion times on the current date based on the historical monitoring data, and judge whether there is a historical secretion number on the current date with a response processing time longer than the preset processing time. If so, determine the patient's real-time monitoring frequency based on the set monitoring frequency; if not, proceed to the next step;

[0073] Determine the interval time period of the patient using the interval time between the current time period and the most recent secretion time period of the patient, and determine the corresponding monitoring frequency according to the interval time period of the patient;

[0074] Determine the average response time of the patient by the average value of the response processing time, and judge whether the average response time of the patient is less than the preset time threshold; if so, determine the real-time monitoring frequency of the patient by using the corresponding monitoring frequency; if not, proceed to the next step;

[0075] The average response time is used to determine a monitoring frequency correction value, and the real-time monitoring frequency of the patient is determined according to the product of the monitoring frequency correction value and the corresponding monitoring frequency.

[0076] S2: Based on the real-time monitoring frequency and the intelligent sensing device of the nursing pad, the patient's anal secretions are monitored and processed to obtain monitoring data, and it is determined whether the patient has secretions. If yes, the next step is entered; if no, the next step is entered; S4 is entered;

[0077] S3 determines the secretion volume and treatment time of the patient's different historical secretion times on the current date, and determines the treatment priority type of the patient in combination with the patient's secretion monitoring data, and sends the treatment priority type to the nursing staff until the treatment is completed, and then proceeds to the next step;

[0078] Specifically, Figure 3 As shown, the method for determining the treatment priority type of the patient is:

[0079] The historical secretion times of the current date are used as the secretion times of the current date, and the skin condition impact values ​​of different secretion times of the current date are determined according to the secretion amounts of different secretion times of the current date, the interval time with the current moment, and the processing time;

[0080] Determine the patient's secretion duration and secretion volume using the patient's secretion monitoring data, and determine the patient's secretion treatment requirement value based on the patient's secretion duration and secretion volume;

[0081] The comprehensive treatment requirement value of the patient is determined based on the skin condition impact value of the different current date secretion times and the secretion treatment requirement value of the patient, and the treatment priority type of the patient is determined using the comprehensive treatment requirement value.

[0082] Furthermore, the treatment priority types of the patient include a first priority type, a second priority type and a third priority type.

[0083] Specifically, the first priority type is greater than the second priority type, and the second priority type is greater than the third priority type.

[0084] It can be understood that the treatment priority type of the patient is determined according to the matching result of the comprehensive treatment requirement value of the patient and the preset requirement interval corresponding to the treatment priority type.

[0085] It should also be noted that the method for determining the treatment priority type of the patient is:

[0086] S31 uses the patient's secretion monitoring data to determine the patient's current secretion duration and secretion volume, and determines whether the patient's secretion volume is greater than a preset secretion volume. If so, determine the patient's treatment priority type based on the preset priority type; if not, proceed to the next step;

[0087] S32 determines the patient's secretion treatment requirement value according to the patient's current secretion duration and the secretion volume, and judges whether the patient's secretion treatment requirement value is within a preset requirement range. If so, proceed to the next step; if not, proceed to step;

[0088] S33 uses the historical secretion times of the current date as the secretion times of the current date, determines the number of attention secretions in the secretion times of the current date according to different processing times of the secretion times of the current date, and judges whether the number of attention secretions meets the requirements. If so, proceeds to the next step; if not, determines the treatment priority type of the patient based on the preset priority type;

[0089] S34 determines the skin condition impact values ​​of different current-day secretion times according to the secretion amounts of different current-day secretion times, the interval time with the current time, and the processing time, and determines whether the current-day secretion times with skin condition impact values ​​greater than the preset impact threshold are greater than the current-day times limit value; if not, proceed to the next step; if so, determine the treatment priority type of the patient based on the preset priority type;

[0090] S35 determines the comprehensive treatment requirement value of the patient based on the skin condition impact value of the different secretion times on the current date and the secretion treatment requirement value of the patient, and determines the treatment priority type of the patient using the comprehensive treatment requirement value.

[0091] Furthermore, the noted secretion times are the secretion times on the current date when the processing time is longer than the preset processing time.

[0092] It should also be noted that the method for determining the treatment priority type of the patient is:

[0093] Determine the patient's secretion duration and secretion volume using the patient's secretion monitoring data, and determine the patient's secretion treatment requirement value based on the patient's secretion duration and secretion volume;

[0094] Taking the historical secretion times of the current date as the secretion times of the current date, and determining the attention secretion times in the secretion times of the current date according to different processing times of the secretion times of the current date;

[0095] The demand correction amount is determined based on the noted secretion frequency, and the comprehensive treatment requirement value of the patient is determined based on the demand correction amount and the patient's secretion treatment requirement value, and the treatment priority type of the patient is determined using the comprehensive treatment requirement value.

[0096] It is understandable that the confirmation of processing completion includes:

[0097] The body pressure of the patient is acquired by using the intelligent sensing device of the nursing pad, and when the body pressure of the patient no longer changes, it is determined that the treatment is completed.

[0098] S4 determines the recommended massage method for the patient based on the historical monitoring data and processing data of the patient's secretions within a preset time period, and uses the recommended massage method to massage the patient's perianal skin.

[0099] Specifically, Figure 4 As shown, the method for determining the recommended massage method for the patient is:

[0100] Determine the historical secretion times of the patient on different days within the preset time period based on the historical monitoring data and processing data of the patient's secretions within the preset time period;

[0101] Determine massage demand values ​​for different dates based on the historical secretion times on different dates within a preset time period, the processing time and secretion volume of different historical secretion times;

[0102] The weight values ​​of different dates are determined by using the interval lengths between different dates and the current date, the comprehensive massage requirement value of the patient is determined by the weight values ​​of different dates and the massage requirement values, and the recommended massage method for the patient is determined based on the comprehensive massage requirement value.

[0103] Furthermore, the recommended massage method includes a massage cycle and a single massage duration.

[0104] It should also be noted that the method for determining the recommended massage method for the patient is:

[0105] S41 determines the historical secretion times of the patient on different days within the preset time period based on the historical monitoring data and processing data of the secretion of the patient within the preset time period, and judges whether the historical secretion times within the preset time period are greater than the preset secretion times. If so, determines the recommended massage method for the patient based on the preset massage method, and if not, proceeds to the next step;

[0106] S42 determines whether there is a date with a history of secretion greater than a preset number of times threshold based on the number of historical secretions on different dates within a preset time period, and if so, proceeds to the next step, if not, proceeds to step S45;

[0107] S43 determines the number of days when the historical secretion frequency is greater than the preset number threshold based on the historical secretion frequency of different dates within the preset time period, and determines whether the number of days when the historical secretion frequency is greater than the preset number threshold is within the preset date number interval, and if so, determines the recommended massage method for the patient based on the preset massage method, and if not, proceeds to the next step;

[0108] S44 determines massage demand values ​​on different dates according to the number of historical secretions on different dates within a preset time period, the processing time of different historical secretions, and the secretion volume, and determines whether the number of dates with massage demand values ​​greater than a preset demand threshold is within a preset date number interval. If so, determines a recommended massage method for the patient based on a preset massage method, and if not, proceeds to the next step;

[0109] S45 determines the weight values ​​of different dates by using the intervals between different dates and the current date, determines the comprehensive massage requirement value of the patient by using the weight values ​​of different dates and the massage requirement value, and determines the recommended massage method for the patient based on the comprehensive massage requirement value.

[0110] Embodiment 2 In the second aspect, as Figure 5 As shown, the present application provides a nursing pad, which adopts the above-mentioned ICU nursing method based on intelligent sensing, specifically comprising:

[0111] Monitoring frequency assessment module, monitoring data acquisition module, priority type determination module, massage processing module;

[0112] The monitoring frequency evaluation module is responsible for obtaining the historical monitoring data of the patient's anal secretions, determining the monitoring frequency of the patient's secretions in different time intervals by using the historical monitoring data, and determining the real-time monitoring frequency of the patient by the monitoring frequency of the secretions in different time intervals and the response processing time of the nursing staff on the current date;

[0113] The monitoring data acquisition module is responsible for monitoring and processing the patient's anal secretions based on the real-time monitoring frequency and the intelligent sensing device of the nursing pad to obtain monitoring data;

[0114] The priority type determination module is responsible for determining the secretion volume and treatment duration of the patient's different historical secretion times on the current date, and determining the treatment priority type of the patient in combination with the patient's secretion monitoring data, and sending the treatment priority type to the nursing staff;

[0115] The massage processing module is responsible for determining the recommended massage method for the patient based on the historical monitoring data and processing data of the patient's secretions within a preset time period, and using the recommended massage method to perform massage treatment on the patient's perianal skin.

[0116] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0117] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0118] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A nursing pad adopts an ICU nursing method based on intelligent sensing, characterized in that: Specifically include: Monitoring frequency assessment module, monitoring data acquisition module, priority type determination module, massage processing module; The monitoring frequency evaluation module is responsible for obtaining the historical monitoring data of the patient's anal secretions, determining the monitoring frequency of the patient's secretions in different time intervals by using the historical monitoring data, and determining the real-time monitoring frequency of the patient by the monitoring frequency of the secretions in different time intervals and the response processing time of the nursing staff on the current date; The monitoring data acquisition module is responsible for monitoring and processing the patient's anal secretions based on the real-time monitoring frequency and the intelligent sensing device of the nursing pad to obtain monitoring data; The priority type determination module is responsible for determining the secretion volume and treatment duration of the patient's different historical secretion times on the current date, and determining the treatment priority type of the patient in combination with the patient's secretion monitoring data, and sending the treatment priority type to the nursing staff; The massage processing module is responsible for determining the recommended massage method for the patient based on the historical monitoring data and processing data of the patient's secretions within a preset time period, and performing massage treatment on the patient's perianal skin using the recommended massage method; An ICU nursing method based on intelligent sensing, specifically comprising: S1 obtains historical monitoring data of anal secretions of a patient, determines the monitoring frequency of secretions of the patient in different time intervals by using the historical monitoring data, and determines the real-time monitoring frequency of the patient by the monitoring frequency of secretions in different time intervals and the response processing time of the nursing staff on the current date; S2: Based on the real-time monitoring frequency and the intelligent sensing device of the nursing pad, the patient's anal secretions are monitored and processed to obtain monitoring data, and it is determined whether the patient has secretions. If yes, the next step is entered; if no, the next step is entered; S4 is entered; S3 determines the secretion volume and treatment time of the patient's different historical secretion times on the current date, and determines the treatment priority type of the patient in combination with the patient's secretion monitoring data, and sends the treatment priority type to the nursing staff until the treatment is completed, and then proceeds to the next step; S4 determines the recommended massage method for the patient based on the historical monitoring data and processing data of the patient's secretions within a preset time period, and uses the recommended massage method to massage the patient's perianal skin.

2. A nursing pad as claimed in claim 1, characterized in that: The method for determining the treatment priority type of the patient is: The historical secretion times of the current date are used as the secretion times of the current date, and the skin condition impact values ​​of different secretion times of the current date are determined according to the secretion amounts of different secretion times of the current date, the interval time with the current moment, and the processing time; Determine the patient's secretion duration and secretion volume using the patient's secretion monitoring data, and determine the patient's secretion treatment requirement value based on the patient's secretion duration and secretion volume; The comprehensive treatment requirement value of the patient is determined based on the skin condition impact value of the different current date secretion times and the secretion treatment requirement value of the patient, and the treatment priority type of the patient is determined using the comprehensive treatment requirement value.

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