Hyperbaric oxygen chamber management method and system based on multi-dimensional data

Abstract

The invention discloses a hyperbaric oxygen chamber management method and system based on multi-dimensional data, and belongs to the technical field of medical health management, and the method comprises the steps: collecting the multi-dimensional data of a hyperbaric oxygen chamber and a patient in real time, providing atmosphere adjustment for selection, and relieving the inadaptability of the patient; analyzing according to the multi-dimensional data, identifying key influence factors of treatment requirements and treatment effects of the patient, and recommending an optimal treatment scheme; performing layered management on the hyperbaric oxygen chamber; setting a deployment period, and analyzing treatment requirements of patients and utilization rates of the hyperbaric oxygen chambers to perform dynamic resource deployment of the hyperbaric oxygen chambers of different levels. According to the system, the inadaptability of a patient is effectively relieved, the treatment compliance and experience are improved, the treatment interruption is reduced, the medical service quality and satisfaction are improved through hierarchical management and resource allocation of the hyperbaric oxygen chamber, the resource allocation is optimized, the waiting time is shortened, and meanwhile, the resource utilization maximization is realized.

Description

Technical Field

[0001] The present invention belongs to the field of medical health management technology, and specifically relates to a hyperbaric oxygen chamber management method and system based on multi-dimensional data. Background Art

[0002] In the field of hyperbaric oxygen chamber management, with the continuous advancement of medical technology, hyperbaric oxygen therapy has become an important auxiliary treatment method and is widely used in the treatment of various diseases. In recent years, the development of related technologies has mainly focused on improving the automation of hyperbaric oxygen chambers, optimizing the treatment environment, and improving the patient treatment experience. However, existing technologies generally have problems such as insufficient use of multi-dimensional data, single management methods, and unreasonable resource allocation, which to a certain extent limit the effectiveness and efficiency of hyperbaric oxygen chamber treatment.

[0003] The existing hyperbaric oxygen chamber management methods have obvious shortcomings in addressing individual differences among patients, identifying treatment needs, and optimizing resource allocation.

[0004] On the one hand, existing technologies fail to fully integrate multi-dimensional data such as patients' physiological, biochemical, environmental and psychological states, resulting in insufficient identification of key factors affecting patients' treatment needs and treatment outcomes.

[0005] On the other hand, the existing management methods lack a dynamic resource allocation mechanism for different patient needs, resulting in low utilization of hyperbaric oxygen chambers and poor patient treatment experience. In response to these problems, the present invention proposes a hyperbaric oxygen chamber management method and system based on multi-dimensional data. Summary of the invention

[0006] In view of the above-mentioned existing problems, the technical problem solved by the present invention is: how to effectively monitor and optimize the treatment resource allocation of the hyperbaric oxygen chamber in real time to improve the patient's treatment effect and resource utilization, while meeting the patient's personalized treatment needs and comfort; the present invention aims to identify key influencing factors, and dynamically adjust treatment plans and resource allocation, to solve how to achieve intelligent and efficient hyperbaric oxygen chamber management.

[0007] In order to solve the above technical problems, a hyperbaric oxygen chamber management method based on multi-dimensional data is proposed, including: Collect multi-dimensional data of the hyperbaric oxygen chamber and patients in real time, monitor the changes in the air pressure of the hyperbaric oxygen chamber in real time, set a preset range of the air pressure tolerance threshold, and provide atmosphere adjustment for selection. Adjust the atmosphere lighting and sound in the hyperbaric oxygen chamber in real time according to the patient's anxiety level. The score of the patient's anxiety level assessment prompts the treatment team whether to intervene or continue treatment; analyze based on multi-dimensional data, build a weighted regression model, predict the treatment effect of the hyperbaric oxygen chamber according to the timeliness of treatment, identify the key influencing factors of the patient's treatment needs and treatment effects, and recommend the best treatment plan; based on the identified key influencing factors, take into account the severity of the patient's symptoms, treatment history, expected treatment effects and resource availability, and manage the hyperbaric oxygen chamber in a hierarchical manner; set a deployment cycle, analyze the patient's treatment needs and the utilization rate of the hyperbaric oxygen chamber, conduct a comprehensive assessment based on the patient's treatment needs and the utilization rate of the hyperbaric oxygen chamber, and dynamically allocate resources for hyperbaric oxygen chambers at different levels.

[0008] As a preferred solution of the hyperbaric oxygen chamber management method based on multi-dimensional data described in the present invention, wherein: the multi-dimensional data includes: physiological data, biochemical data, environmental data, patient psychological state data and patient historical clinical pathway data; The physiological data include heart rate, blood oxygen saturation, respiratory rate, blood pressure and body temperature; The biochemical data include blood composition and electrolyte levels; The environmental data include oxygen concentration, temperature, humidity and air pressure in the hyperbaric oxygen chamber; The psychological state data includes anxiety level, which assesses the patient's current emotional state and subjective comfort; The patient's historical clinical pathway data includes the duration of each treatment, the order in which the patient received treatment, historical treatment frequency, historical treatment type and historical treatment results.

[0009] As a preferred solution of the hyperbaric oxygen chamber management method based on multi-dimensional data described in the present invention, wherein: the real-time monitoring of the air pressure change of the hyperbaric oxygen chamber and setting the preset range of the air pressure tolerance threshold include: real-time monitoring of the air pressure change of the hyperbaric oxygen chamber and setting the preset range of the air pressure tolerance threshold to ensure that the air pressure value detected each time is within the preset range, and when the air pressure value is not within the preset range, a warning is issued and an adjustment is made; Before each treatment, check the effectiveness, qualified labels and stable oxygen concentration of oxygen cylinders and medical equipment. Use an immersion decompression algorithm to gradually increase or decrease the air pressure in the oxygen chamber, and adjust the air pressure and oxygen concentration at fixed intervals. The option of providing atmosphere adjustment includes: providing an atmosphere adjustment function, adjusting the atmosphere lighting and sound in the hyperbaric oxygen chamber in real time according to the patient's anxiety level. When the patient's anxiety level assessment reaches 7 points or above, soothing music is automatically activated and the lighting is adjusted to a soft mode. When the anxiety level assessment is above 7 points and the scoring time exceeds 15 minutes, a prompt for the treatment team to intervene is issued. The duration of continuous treatment does not exceed 5 hours, and the hyperbaric oxygen chamber automatically restores normal environmental standards and prompts the treatment team whether to continue treatment.

[0010] As a preferred solution of the hyperbaric oxygen chamber management method based on multi-dimensional data described in the present invention, wherein: the construction of a weighted regression model, predicting the therapeutic effect of the hyperbaric oxygen chamber according to the timeliness of treatment, and identifying the key influencing factors of the patient's treatment needs and the therapeutic effect include: integrating the multi-dimensional data and the historical clinical pathway data, constructing a weighted regression model, and predicting the therapeutic effect of the hyperbaric oxygen chamber according to the timeliness of treatment: ; in, To predict the effect of hyperbaric oxygen chamber treatment, is the intercept term of the weighted regression model, For the The weight of the influencing factors, For the The value of the influencing factor, is the total number of influencing factors, is the variable index, For time-effective treatment The weight coefficient of The time from when the patient enters the hyperbaric oxygen chamber to when treatment begins. Represents the error term between the model prediction and the actual result; According to the predicted hyperbaric oxygen chamber treatment effect, the degree of uncertainty reduction in the treatment effect is quantified by information gain, the contribution of different factors to the treatment effect is determined, the importance of influencing factors is identified, and the key influencing factors that provide the greatest clinical value are screened. Among them, the contribution of different factors to the treatment effect is determined as follows: ; in, Influencing factors The information gain of For therapeutic effect The entropy of is the conditional entropy, and S is the total score of anxiety level assessment.

[0011] As a preferred solution of the hyperbaric oxygen chamber management method based on multi-dimensional data described in the present invention, the recommendation of the best treatment plan includes: after identifying the key influencing factors, using the multi-objective optimization model to select the best treatment plan, and selecting the treatment plan to meet the patient's historical clinical pathway data requirements through the patient's individualized feedback weights for different treatment plans: ; in, It represents the evaluation value of comprehensive consideration of treatment options. For the The weight coefficient of each treatment plan, For the The predicted value of hyperbaric oxygen chamber treatment effect for the treatment schemes, For patients The feedback weight of the treatment options, is the number of treatment options, is the variable index; And set the constraints: ; ; in, Indicates the selected The decision variables for the treatment options are For the The resource consumption of each treatment option, Indicates treatment options Adaptability to resources; Indicates the total resource limit.

[0012] As a preferred solution of the hyperbaric oxygen chamber management method based on multi-dimensional data described in the present invention, the hierarchical management of the hyperbaric oxygen chamber based on the identified key influencing factors, taking into account the severity of the patient's symptoms, treatment history, expected treatment effect and resource availability, includes: set up is the first allocation threshold, is the second allocation threshold, and Compare the values, conduct hierarchical management, and set the hyperbaric oxygen chamber resource allocation. When the patient is in the first level, that is, the high-level patient, priority is given to treatment, and the allocation cycle is set to allocate resources every day; when When the patient is in the second level, that is, the middle level patient, the treatment demand is stable, and the allocation cycle is set to allocate resources three times a week; when When the patient is in the third level, i.e., rehabilitation patient, the treatment demand is low, and the allocation cycle is set to 1-2 times a month to allocate resources and optimize the allocation of cabin resources; After each treatment, patient feedback is collected and treatment effects are recorded, and each level is adjusted dynamically.

[0013] As a preferred solution of the hyperbaric oxygen chamber management method based on multi-dimensional data described in the present invention, wherein: the deployment cycle is set, the patient's treatment needs and the utilization rate of the hyperbaric oxygen chamber are analyzed, and a comprehensive evaluation is performed in combination with the patient's treatment needs and the utilization rate of the hyperbaric oxygen chamber. The expression is as follows: ; in, In order to comprehensively analyze the patient needs and the utilization rate of the hyperbaric oxygen chamber, For the The average single treatment time for patients in this category was For patient categories and suitability of treatment options, is the weight of key influencing factors, For time The actual use time of the hyperbaric oxygen chamber at each moment, For time The total available time of the moment, is the total number of patient categories, indicating the number of different types of patients; is the variable index; When allocating resources, decide on the level transition. When the first-level threshold is reached, the third-level spaces will be reduced, and the reduced third-level spaces will be allocated to the first and second levels at a ratio of 3:1, and the environmental data of the allocated spaces will be set to the same as those of the first and second levels; when When the second-level threshold is reached, the first-level cabin space will be reduced and allocated to the first and second levels at a ratio of 1:3, and the third-level patients will be transferred to the first and second levels to optimize resource allocation.

[0014] Another object of the present invention is to provide a hyperbaric oxygen chamber management system based on multi-dimensional data.

[0015] As a preferred solution of the hyperbaric oxygen chamber management system based on multi-dimensional data described in the present invention, it includes a data acquisition module, a data analysis and decision module, and a resource allocation and management module; The data acquisition module collects multi-dimensional data of the hyperbaric oxygen chamber and the patient in real time, wherein the multi-dimensional data includes physiological data, biochemical data, environmental data, patient psychological state data and patient historical clinical pathway data; The data analysis and decision-making module performs analysis based on the collected multi-dimensional data, including identifying key influencing factors, predicting treatment effects, determining patient needs, and recommending the best treatment plan; The resource allocation and management module performs hierarchical management and dynamic resource allocation of the hyperbaric oxygen chamber according to the analysis results, so as to ensure the effective use of the chamber space and meet the treatment needs of the patients.

[0016] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of a hyperbaric oxygen chamber management method based on multi-dimensional data are implemented.

[0017] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of a hyperbaric oxygen chamber management method based on multi-dimensional data are implemented.

[0018] Beneficial effects of the present invention: The present invention effectively alleviates the patient's maladaptability, improves treatment compliance and experience, and thus reduces treatment interruptions and improves treatment effects by collecting and analyzing multi-dimensional data of the hyperbaric oxygen chamber and the patient in real time, while providing AR assistance and atmosphere adjustment. Combined with the patient's historical clinical pathway data, the present invention identifies key influencing factors, and uses a weighted regression model to predict the treatment effect. The optimal treatment plan is recommended through a multi-objective optimization model, ensuring the accuracy and personalization of the treatment and improving the success rate of treatment. In addition, through hierarchical management and dynamic resource allocation of hyperbaric oxygen chambers, the present invention optimizes resource allocation, improves treatment efficiency, reduces waiting time, improves medical service quality and satisfaction, and maximizes resource utilization, bringing cost-effectiveness improvements to medical institutions, thereby comprehensively improving the scientificity and efficiency of hyperbaric oxygen chamber management and the patient's treatment experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work, among which: Figure 1 An overall flow chart of a hyperbaric oxygen chamber management method based on multi-dimensional data provided by one embodiment of the present invention.

[0020] Figure 2 A system solution module diagram of a hyperbaric oxygen chamber management system based on multi-dimensional data provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0022] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0023] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is mutually exclusive with other embodiments, either individually or selectively.

[0024] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0025] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, which are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0026] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] Example 1, reference Figure 1, which is the first embodiment of the present invention, provides a hyperbaric oxygen chamber management method based on multi-dimensional data, comprising: S1: Collect multi-dimensional data of the hyperbaric oxygen chamber and the patient in real time, monitor the changes in air pressure in the hyperbaric oxygen chamber in real time, set a preset range of air pressure tolerance threshold, and provide atmosphere adjustment options. Adjust the ambient lighting and sound in the hyperbaric oxygen chamber in real time according to the patient's anxiety level. The score of the patient's anxiety level assessment prompts the treatment team whether to intervene or continue treatment.

[0028] It should be noted that multi-dimensional data include: physiological data, biochemical data, environmental data, patient psychological status data, and patient historical clinical pathway data; The physiological data include heart rate, blood oxygen saturation, respiratory rate, blood pressure, and body temperature; The biochemical data include blood composition and electrolyte levels; The environmental data include oxygen concentration, temperature, humidity, and air pressure in the hyperbaric oxygen chamber; The psychological state data includes anxiety level, assessing the patient's current emotional state and subjective comfort; The patient's historical clinical pathway data includes the duration of each treatment, the order in which the patient received treatment, historical treatment frequency, historical treatment type and historical treatment results.

[0029] Furthermore, the pressure changes in the hyperbaric oxygen chamber are monitored in real time to ensure that the pressure is within the tolerance threshold between 0.2 and 0.3 atmospheres, and the pressure value detected each time is within the preset range. When the air pressure value is not within the preset range, the system will issue a warning and make adjustments; Before each treatment, the effectiveness and qualified labels of oxygen cylinders and medical equipment are tested, and the oxygen concentration is stabilized at 21%-100%. An immersion decompression algorithm is used to gradually increase or decrease the air pressure in the oxygen chamber to reduce discomfort. The air pressure and oxygen concentration are adjusted every 60 minutes. It provides an atmosphere adjustment function to adjust the ambient lighting and sound in the hyperbaric oxygen chamber in real time according to the patient's anxiety level. When the patient's anxiety level is assessed to be above 7 points, soothing music is automatically activated and the lighting is adjusted to soft mode. When the anxiety level is assessed to be above 7 points and the scoring duration exceeds 15 minutes, a prompt for the treatment team to intervene will be issued. If the duration of continuous treatment does not exceed 5 hours, the hyperbaric oxygen chamber will automatically restore normal environmental standards and prompt the treatment team whether to continue treatment.

[0030] Among them, the patient's heart rate and blood oxygen saturation are monitored in real time. Since anxiety can cause increased heart rate and rapid breathing, the score of the standard resting heart rate within the set range is set to 0 points, 10% outside the set range is scored as 2-3 points, and 15% outside the set range is scored as 4-5 points. The score is determined according to the deviation of the actual measured heart rate; the blood oxygen saturation is set to be below 95% with a score of 4-5 points, the blood oxygen saturation is between 95%-98% with a score of 2-3 points, and the blood oxygen saturation is above 98% with a score of 0 points; the heart rate score and the blood oxygen saturation score are added to obtain the total score of the anxiety level assessment.

[0031] S2: Analyze multi-dimensional data and construct a weighted regression model to predict the therapeutic effect of the hyperbaric oxygen chamber based on the timeliness of treatment, identify the key influencing factors of patient treatment needs and treatment effects, and recommend the best treatment plan.

[0032] Furthermore, the multi-dimensional data and historical clinical pathway data are integrated to clean up missing values ​​and outliers in the data to ensure data integrity and consistency; the data from different sources are standardized to make the data of each dimension comparable; feature selection algorithms such as random forest and Lasso regression methods are used to identify the most important features, reduce dimensions, and avoid overfitting; the cleaned multi-dimensional data are merged with the historical clinical pathway data through a joint index.

[0033] A weighted regression model was constructed to predict the therapeutic effect of the hyperbaric oxygen chamber according to the timeliness of treatment. The weighted regression model for identifying key influencing factors was as follows: ; in, To predict the effect of hyperbaric oxygen chamber treatment, is the intercept term of the weighted regression model, For the The weight of the influencing factors, For the The value of the influencing factor, is the total number of influencing factors, is the variable index, For time-effective treatment The weight coefficient of is used to evaluate the effect of treatment start time on the effect; The time from when the patient enters the hyperbaric oxygen chamber to when treatment begins. Represents the error term between the model prediction and the actual result; According to the predicted hyperbaric oxygen chamber treatment effect, the degree of uncertainty reduction in the treatment effect is quantified by information gain, the contribution of different factors to the treatment effect is determined, the importance of influencing factors is identified, and the key influencing factors that provide the greatest clinical value are screened. Among them, the contribution of different factors to the treatment effect is determined as follows: ; in, Influencing factors The information gain of For therapeutic effect The entropy of is the conditional entropy, S is the total score of anxiety level assessment; The larger the information gain, the greater the The greater the contribution to the treatment effect, the higher its importance. Arrange the results in descending order and select the first one as the key influencing factor. When the first one is equal to two or more tied items, select the tied items as the key influencing factor combination.

[0034] It should be noted that after identifying the key influencing factors, the multi-objective optimization model is used to select the best treatment plan. The treatment plan is selected to meet the patient's historical clinical pathway data needs based on the patient's individualized feedback weights on different treatment plans: ; in, It represents the evaluation value of comprehensive consideration of treatment options. For the The weight coefficient of each treatment plan, For the The predicted value of hyperbaric oxygen chamber treatment effect for the treatment schemes, For patients The feedback weight of the treatment options, is the number of treatment options, is the variable index; And set the constraints: ; ; in, Indicates the selected The decision variables for the treatment options are For the The resource consumption of each treatment option, Indicates treatment options Adaptability to resources; Indicates the total resource limit.

[0035] S3: Stratify the management of hyperbaric oxygen chambers based on the identified key influencing factors, taking into account the severity of the patient's condition, treatment history, expected treatment effects, and resource availability.

[0036] It should be noted that the management of hyperbaric oxygen chambers is stratified according to the key influencing factors identified, taking into account the severity of the patient's condition, treatment history, expected treatment effect and resource availability: set up is the first allocation threshold, is the second allocation threshold, and Compare the values, conduct hierarchical management, and set the hyperbaric oxygen chamber resource allocation. When the patient is in the first level, that is, the high-level patient, priority is given to treatment, and the allocation cycle is set to allocate resources every day; when When the patient is in the second level, that is, the middle level patient, the treatment demand is stable, and the allocation cycle is set to allocate resources three times a week; when When the patient is in the third level, i.e., rehabilitation patient, the treatment demand is low, and the allocation cycle is set to 1-2 times a month to allocate resources and optimize the allocation of cabin resources; Among them, before formulating specific thresholds, extensive literature research was conducted, including clinical trials and patient feedback related to various types of hyperbaric oxygen therapy, to identify the relationship between the severity of symptoms and treatment effects of different patients. According to a large number of clinical trials, when patients receive hyperbaric oxygen therapy, their satisfaction with symptom recovery and treatment effects is usually above 8 points. This threshold indicates that the patient's condition is more serious and urgently needs treatment. Therefore, setting it as a high-level patient helps ensure that critically ill patients can receive timely and effective treatment first. Below 5 points usually means that the patient's condition has improved or stabilized, but still requires certain treatment support. The setting of this threshold helps identify patients who need regular follow-up and tracking to ensure that their health continues to improve during the treatment process; it can effectively allocate treatment resources in the hyperbaric oxygen chamber to ensure that limited treatment space and time can give priority to the needs of patients who need intervention the most, thereby achieving rational use of resources; based on clinical trial data, statistical models and machine learning techniques are used to analyze patients' treatment feedback, identify key factors and thresholds that affect treatment effects, and ultimately decide to use 5 and 8 as the cutoff points.

[0037] After each treatment, patient feedback is collected and treatment effects are recorded, and each level is adjusted dynamically.

[0038] S4: Set the deployment cycle, analyze the patient treatment needs and the utilization rate of the hyperbaric oxygen chamber, conduct a comprehensive assessment based on the patient treatment needs and the utilization rate of the hyperbaric oxygen chamber, and dynamically deploy resources for hyperbaric oxygen chambers at different levels.

[0039] Furthermore, a comprehensive assessment is conducted based on the patient's treatment needs and the utilization rate of the hyperbaric oxygen chamber: ; in, In order to comprehensively analyze the patient needs and the utilization rate of the hyperbaric oxygen chamber, For the The average single treatment time for patients in this category was For patient categories and suitability of treatment options, is the weight of key influencing factors, For time The actual use time of the hyperbaric oxygen chamber at each moment, For time The total available time of the moment, is the total number of patient categories, indicating the number of different types of patients; is the variable index; When allocating resources, decide on the level transition. When the first-level threshold is reached, the third-level spaces will be reduced, and the reduced third-level spaces will be allocated to the first and second levels at a ratio of 3:1, and the environmental data of the allocated spaces will be set to the same as those of the first and second levels; when When the second-level threshold is reached, the first-level capacity will be reduced, and the reduced first-level capacity will be allocated to the first and second levels at a ratio of 1:3, and the third-level patients will be transferred to the first and second levels to optimize resource allocation.

[0040] Embodiment 2 is the second embodiment of the present invention, which is different from the previous embodiment in that: If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0041] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0042] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0043] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0044] Example 3, reference Figure 2 , which is the third embodiment of the present invention, and which provides a hyperbaric oxygen chamber management system based on multi-dimensional data, including a data acquisition module, a data analysis and decision module, and a resource allocation and management module; A data acquisition module collects multi-dimensional data of the hyperbaric oxygen chamber and the patient in real time, wherein the multi-dimensional data includes physiological data, biochemical data, environmental data, patient psychological state data, and patient historical clinical pathway data; Data analysis and decision-making module, which analyzes the collected multi-dimensional data, including identifying key influencing factors, predicting treatment effects, determining patient needs and recommending the best treatment plan; The resource allocation and management module conducts hierarchical management and dynamic resource allocation of the hyperbaric oxygen chamber based on the analysis results to ensure the effective use of the cabin space and that the patient's treatment needs are met.

[0045] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A hyperbaric oxygen chamber management method based on multi-dimensional data, characterized in that: include: Collect multi-dimensional data of the hyperbaric oxygen chamber and patients in real time, monitor changes in air pressure in the hyperbaric oxygen chamber in real time, set a preset range for air pressure tolerance thresholds, and provide atmosphere adjustment options. Adjust the atmosphere lighting and sound in the hyperbaric oxygen chamber in real time according to the patient's anxiety level. The score of the patient's anxiety level assessment prompts the treatment team whether to intervene or continue treatment; Analyze multi-dimensional data and construct a weighted regression model to predict the therapeutic effect of the hyperbaric oxygen chamber based on the timeliness of treatment, identify the key influencing factors of patient treatment needs and treatment effects, and recommend the best treatment plan; Based on the identified key influencing factors, the management of hyperbaric oxygen chambers is stratified, taking into account the severity of the patient's condition, treatment history, expected treatment effects, and resource availability; Set the deployment cycle, analyze the patient treatment needs and the utilization rate of the hyperbaric oxygen chamber, conduct a comprehensive assessment based on the patient treatment needs and the utilization rate of the hyperbaric oxygen chamber, and dynamically allocate resources for hyperbaric oxygen chambers at different levels.

2. A hyperbaric oxygen chamber management method based on multi-dimensional data as claimed in claim 1, characterized in that: The multi-dimensional data includes: physiological data, biochemical data, environmental data, patient psychological state data and patient historical clinical pathway data; The physiological data include heart rate, blood oxygen saturation, respiratory rate, blood pressure and body temperature; The biochemical data include blood composition and electrolyte levels; The environmental data include oxygen concentration, temperature, humidity and air pressure in the hyperbaric oxygen chamber; The psychological state data includes anxiety level, which assesses the patient's current emotional state and subjective comfort; The patient's historical clinical pathway data includes the duration of each treatment, the order in which the patient received treatment, historical treatment frequency, historical treatment type and historical treatment results.

3. A hyperbaric oxygen chamber management method based on multi-dimensional data as claimed in claim 2, characterized in that: The real-time monitoring of the pressure change of the hyperbaric oxygen chamber and setting the preset range of the pressure tolerance threshold value include: real-time monitoring of the pressure change of the hyperbaric oxygen chamber and setting the preset range of the pressure tolerance threshold value to ensure that the pressure value detected each time is within the preset range, and when the pressure value is not within the preset range, a warning is issued and an adjustment is made; Before each treatment, check the effectiveness, qualified labels and stable oxygen concentration of oxygen cylinders and medical equipment. Use an immersion decompression algorithm to gradually increase or decrease the air pressure in the oxygen chamber, and adjust the air pressure and oxygen concentration at fixed intervals. The option of providing atmosphere adjustment includes: providing an atmosphere adjustment function, adjusting the atmosphere lighting and sound in the hyperbaric oxygen chamber in real time according to the patient's anxiety level. When the patient's anxiety level assessment reaches 7 points or above, soothing music is automatically activated and the lighting is adjusted to a soft mode. When the anxiety level assessment is above 7 points and the scoring time exceeds 15 minutes, a prompt for the treatment team to intervene is issued. The duration of continuous treatment does not exceed 5 hours, and the hyperbaric oxygen chamber automatically restores normal environmental standards and prompts the treatment team whether to continue treatment.

4. A hyperbaric oxygen chamber management method based on multi-dimensional data as claimed in claim 3, characterized in that: The weighted regression model is constructed to predict the therapeutic effect of the hyperbaric oxygen chamber according to the timeliness of treatment and identify the key influencing factors of the patient's treatment needs and the therapeutic effect, including: integrating multi-dimensional data and historical clinical pathway data, constructing a weighted regression model, and predicting the therapeutic effect of the hyperbaric oxygen chamber according to the timeliness of treatment: ； in, To predict the effect of hyperbaric oxygen chamber treatment, is the intercept term of the weighted regression model, For the The weight of the influencing factors, For the The value of the influencing factor, is the total number of influencing factors, is the variable index, For time-effective treatment The weight coefficient of The time from when the patient enters the hyperbaric oxygen chamber to when treatment begins. Represents the error term between the model prediction and the actual result; According to the predicted hyperbaric oxygen chamber treatment effect, the degree of uncertainty reduction in the treatment effect is quantified by information gain, the contribution of different factors to the treatment effect is determined, the importance of influencing factors is identified, and the key influencing factors that provide the greatest clinical value are screened. Among them, the contribution of different factors to the treatment effect is determined as follows: ； in, Influencing factors The information gain of For therapeutic effect The entropy of is the conditional entropy, and S is the total score of anxiety level assessment.

5. A hyperbaric oxygen chamber management method based on multi-dimensional data as claimed in claim 4, characterized in that: The recommended best treatment plan includes: after identifying the key influencing factors, using the multi-objective optimization model to select the best treatment plan, and selecting the treatment plan to meet the patient's historical clinical pathway data needs through the patient's individualized feedback weights on different treatment plans: ； in, It represents the evaluation value of comprehensive consideration of treatment options. For the The weight coefficient of each treatment plan, For the The predicted value of hyperbaric oxygen chamber treatment effect for the treatment schemes, For patients The feedback weight of the treatment options, is the number of treatment options, is the variable index; And set the constraints: ； ； in, Indicates the selected The decision variables for the treatment options are For the The resource consumption of each treatment option, Indicates treatment options Adaptability to resources; Indicates the total resource limit.

6. A hyperbaric oxygen chamber management method based on multi-dimensional data as claimed in claim 5, characterized in that: The tiered management of hyperbaric oxygen chambers based on the identified key influencing factors, taking into account the severity of the patient's condition, treatment history, expected treatment effects and resource availability, includes: set up is the first allocation threshold, is the second allocation threshold, and Compare the values, conduct hierarchical management, and set the hyperbaric oxygen chamber resource allocation. When the patient is in the first level, that is, the high-level patient, priority is given to treatment, and the allocation cycle is set to allocate resources every day; when When the patient is in the second level, that is, the middle level patient, the treatment demand is stable, and the allocation cycle is set to allocate resources three times a week; when When the patient is in the third level, i.e., rehabilitation patient, the treatment demand is low, and the allocation cycle is set to 1-2 times a month to allocate resources and optimize the allocation of cabin resources; After each treatment, patient feedback is collected and treatment effects are recorded, and each level is adjusted dynamically.

7. A hyperbaric oxygen chamber management method based on multi-dimensional data as claimed in claim 6, characterized in that: The deployment cycle is set, the patient's treatment needs and the utilization rate of the hyperbaric oxygen chamber are analyzed, and a comprehensive evaluation is performed based on the patient's treatment needs and the utilization rate of the hyperbaric oxygen chamber. The expression is as follows: ； in, In order to comprehensively analyze the patient needs and the utilization rate of the hyperbaric oxygen chamber, For the The average single treatment time for patients in this category was For patient categories and suitability of treatment options, is the weight of key influencing factors, For time The actual use time of the hyperbaric oxygen chamber at each moment, For time The total available time of the moment, is the total number of patient categories, indicating the number of different types of patients; is the variable index; When allocating resources, decide on the level transition. When the first-level threshold is reached, the third-level spaces will be reduced, and the reduced third-level spaces will be allocated to the first and second levels at a ratio of 3:1, and the environmental data of the allocated spaces will be set to the same as those of the first and second levels; when When the second-level threshold is reached, the first-level cabin space will be reduced and allocated to the first and second levels at a ratio of 1:3, and the third-level patients will be transferred to the first and second levels to optimize resource allocation.

8. A system using a hyperbaric oxygen chamber management method based on multi-dimensional data as claimed in any one of claims 1 to 7, characterized in that: Including data collection module, data analysis and decision-making module, resource allocation and management module; The data acquisition module collects multi-dimensional data of the hyperbaric oxygen chamber and the patient in real time, wherein the multi-dimensional data includes physiological data, biochemical data, environmental data, patient psychological state data and patient historical clinical pathway data; The data analysis and decision-making module performs analysis based on the collected multi-dimensional data, including identifying key influencing factors, predicting treatment effects, determining patient needs, and recommending the best treatment plan; The resource allocation and management module performs hierarchical management and dynamic resource allocation of the hyperbaric oxygen chamber according to the analysis results, so as to ensure the effective use of the chamber space and meet the treatment needs of the patients.

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