Intensive care unit informatization management system and method and storage medium

Abstract

The invention discloses an intensive care unit informatization management system and method and a storage medium, relates to the technical field of intensive care unit management, and solves the technical problem that in the prior art, the satisfiability and controllability of a current monitoring area cannot be inferred according to environment informatization analysis. The method specifically comprises the steps that an environment informatization analysis unit conducts environment informatization analysis on an intensive care unit, environment parameters of a monitoring area are set, an environment parameter threshold setting trend is obtained, environment informatization data and environment control informatization data are collected, and whether the environment informatization analysis is qualified or not is inferred according to data comparison; the personnel informatization analysis unit is used for performing personnel informatization analysis on the monitoring area, collecting medical care skill information and medical care common sense information, and deducing whether the personnel informatization analysis is abnormal or not according to information comparison; the severe case informatization analysis unit carries out severe case informatization analysis on the monitoring area, collects monitoring delay information and monitoring error information, and deduces whether severe case informatization monitoring is abnormal or not according to information analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of intensive care unit management, and in particular to an intensive care unit information management system, method and storage medium. Background Art

[0002] The main contents of intensive care unit information management, including patient information management system, monitoring system and medical equipment management module, analyze the challenges and countermeasures faced by intensive care unit information management, such as data security issues and personnel training.

[0003] Patent publication number CN116294030A discloses an air environment management system for an intensive care unit, comprising a bed top cover ring, an air curtain gap plate, an axial flow blower, an air supply pipe, a humidification atomization module, a sterilization pipe, a filter wall box, a filter element plate frame, an ultraviolet sterilization lamp, and a sensor module. The air environment management system for the intensive care unit of the present invention can monitor and detect the temperature, humidity, and carbon dioxide concentration of the air environment in the intensive care unit through the sensor module, and can automatically manage and adjust the temperature and carbon dioxide concentration of the air environment in conjunction with the air conditioning system of the intensive care unit.

[0004] However, in the existing technology, the intensive care unit cannot infer the satisfaction and controllability of the current monitoring area based on environmental information analysis, and cannot conduct personnel information analysis, resulting in unsatisfactory professionalism in the monitoring area. In addition, it is impossible to conduct critical information analysis and cannot guarantee the adaptability of the equipped equipment.

[0005] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0006] The purpose of the present invention is to solve the above-mentioned problems and to provide an intensive care unit information management system, method and storage medium.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An intensive care unit information management system includes an information management platform, wherein the information management platform is communicatively connected to an environment information analysis unit, a personnel information analysis unit, and a critical care information analysis unit;

[0009] The environmental information analysis unit conducts environmental information analysis on the intensive care unit, sets environmental parameters for the monitoring area, obtains trends in environmental parameter threshold settings, collects environmental information data and environmental control information data, and infers whether the environmental information analysis is qualified based on data comparison;

[0010] The personnel information analysis unit conducts personnel information analysis in the monitoring area, collects medical skills information and medical knowledge information, and infers whether there are any abnormalities in the personnel information analysis based on information comparison;

[0011] The critical care information analysis unit conducts critical care information analysis on the monitoring area, collects monitoring delay information and monitoring error information, and infers whether the critical care information monitoring is abnormal based on the information analysis.

[0012] As a preferred embodiment of the present invention, the environmental parameter threshold setting trend division process: the environmental parameter setting threshold trend is divided into environmental parameter floating trends. If the threshold trend is set to continuously increase, the growth trend is set as a favorable trend of the environmental parameter; if the threshold trend is set to continuously decrease, the decrease trend is set as a favorable trend of the environmental parameter.

[0013] As a preferred embodiment of the present invention, the environmental information data is: the continuous growth span value of the favorable trend of the set threshold of the regional environmental parameters during the operation cycle of the monitoring area, and the data ratio of the average value of the deviation between the actual environmental parameters of the current period and the set threshold; the environmental control information data is the numerical ratio of the floating time of the favorable trend of the regional environmental parameters during the operation cycle of the monitoring area to the corresponding time consumed for floating control of the unfavorable trend.

[0014] As a preferred embodiment of the present invention, if the environmental information data does not exceed the cross-mean ratio threshold, or the environmental control information data does not exceed the time ratio threshold, an environmental information unqualified signal is generated; if the environmental information data exceeds the cross-mean ratio threshold, and the environmental control information data exceeds the time ratio threshold, an environmental information qualified signal is generated.

[0015] As a preferred embodiment of the present invention, the medical skills information is the ratio of the peak increase rate of the patient waiting time to the decrease rate of the process execution deviation operation frequency, and the medical common sense information is the total proportion of the area of ​​the completed disinfection area in the overlapping area of ​​the medical staff's non-sterile area in the air-exposed body area and the air-exposed body area after entering the sterile area.

[0016] As a preferred embodiment of the present invention, if the medical skills information exceeds the speed ratio threshold, or the medical common sense information exceeds the area ratio threshold, a low personnel satisfaction signal is generated; if the medical skills information does not exceed the speed ratio threshold, and the medical common sense information does not exceed the area ratio threshold, a high personnel satisfaction signal is generated.

[0017] As a preferred embodiment of the present invention, the monitoring delay information and the monitoring error information are respectively the delay duration of the characteristic parameter floating warning moment corresponding to the stage of continuous change in the characteristic parameter floating amount of the instrument equipped with the critically ill patient during the operation of the monitoring area, and the characteristic parameter floating comparison monitoring error value corresponding to different cycles when the critically ill patient is equipped with instruments for multiple monitoring cycles during the operation of the monitoring area.

[0018] As a preferred embodiment of the present invention, if the monitoring delay information exceeds the monitoring delay time threshold, or the monitoring error information exceeds the monitoring error threshold, a device inefficiency signal is generated; if the monitoring delay information does not exceed the monitoring delay time threshold, and the monitoring error information does not exceed the monitoring error threshold, a device high efficiency signal is generated.

[0019] An information management method for an intensive care unit, specifically the information management method is as follows:

[0020] Environmental information analysis: Conduct environmental information analysis on the intensive care unit, set environmental parameters for the monitoring area, obtain trends in setting environmental parameter thresholds, collect environmental setting information data and environmental control information data, and infer whether the environmental information analysis is qualified based on data comparison;

[0021] Personnel information analysis: Conduct personnel information analysis of the monitoring area, collect medical skills information and medical knowledge information, and infer whether there are any abnormalities in the personnel information analysis based on information comparison;

[0022] Critical care information analysis: Conduct critical care information analysis on the monitoring area, collect monitoring delay information and monitoring error information, and infer whether critical care information monitoring is abnormal based on information analysis;

[0023] Monitoring efficiency analysis, monitoring efficiency evaluation of the monitoring area, inferring whether the monitoring efficiency in the current monitoring area meets the patient's monitoring needs, substituting the efficiency analysis information into the formula to obtain the efficiency analysis coefficient during the operation of the monitoring area, and comparing the efficiency analysis coefficient during the operation of the monitoring area with the efficiency analysis coefficient threshold: if the monitoring efficiency of critically ill patients is qualified, a monitoring efficiency analysis qualified signal is generated; if the monitoring efficiency of critically ill patients is unqualified, a monitoring efficiency analysis unqualified signal is generated.

[0024] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned intensive care unit information management method.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1. In the present invention, an environmental information analysis is performed on the intensive care unit. Through the environmental information analysis, it is inferred whether the environmental satisfaction and controllability in the current monitoring area can meet the regional usage requirements, thereby improving the operating efficiency of the monitoring area. By collecting information and displaying it in data, the information management of the monitoring area is further completed to ensure the monitoring efficiency of the entire area;

[0027] Conduct information analysis of personnel in the monitoring area, infer whether the current medical staff meets the actual operation requirements of the monitoring area through information monitoring and processing of medical staff in the monitoring area, and evaluate the professional skills of medical staff to ensure the professionalism of medical staff in the monitoring area, which can further ensure the operation efficiency of the monitoring area.

[0028] 2. In the present invention, critical care information analysis is performed on the monitoring area to infer whether the real-time instrument monitoring efficiency of critically ill patients in the monitoring area meets the actual monitoring needs, thereby ensuring the operating efficiency of the monitoring area and detecting the real-time characteristic parameters of critically ill patients to ensure the monitoring safety of critically ill patients;

[0029] Evaluate the monitoring efficiency of the monitoring area to infer whether the monitoring efficiency in the current monitoring area meets the patient's monitoring needs, ensure the timeliness of real-time monitoring control during the patient monitoring process, and at the same time ensure the beneficial effect of monitoring and ensure that the floating frequency of patient monitoring parameters continues to decrease. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0031] Figure 1 This is a principle block diagram of the first embodiment of the present invention;

[0032] Figure 2 This is a principle block diagram of the second embodiment of the present invention;

[0033] Figure 3 This is a system principle diagram of embodiment 3 of the present invention. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0035] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0036] Example 1

[0037] See also Figure 1 As shown, an intensive care unit information management system includes an information management platform, wherein the information management platform is communicatively connected to an environment information analysis unit, a personnel information analysis unit, and an intensive care information analysis unit; this system marks the intensive care unit as a monitoring area, and the following schemes are all embodied in the monitoring area;

[0038] The information management platform generates an environmental information analysis signal and sends it to the environmental information analysis unit. After receiving the environmental information analysis signal, the environmental information analysis unit conducts an environmental information analysis of the intensive care unit. Through the environmental information analysis, it infers whether the environmental satisfaction and controllability of the current monitoring area can meet the regional usage requirements, thereby improving the operating efficiency of the monitoring area. By collecting information and displaying it in data, the information management of the monitoring area is further completed to ensure the monitoring efficiency of the entire area.

[0039] Set the environmental parameters of the monitoring area. The environmental parameters are specifically the environmental parameters that need to be controlled in the monitoring area, such as temperature, humidity, etc., and set threshold trends for the environmental parameters to divide the floating trends of the environmental parameters. If the threshold trend is set to continuously increase, the growth trend is set as a favorable trend of the environmental parameters; if the threshold trend is set to continuously decrease, the decreasing trend is set as a favorable trend of the environmental parameters;

[0040] Obtain the favorable trend continuous growth span value of the set threshold value of the regional environmental parameter within the monitoring area operation cycle, as well as the average deviation value between the actual environmental parameter of the current cycle and the set threshold value, and calculate the continuous growth span value and the average deviation value and mark the obtained ratio as environmental information data;

[0041] Obtain the numerical ratio of the favorable trend floating time of the regional environmental parameters to the corresponding time consumed for unfavorable trend floating control during the monitoring area operation cycle, and mark the numerical ratio of the favorable trend floating time of the regional environmental parameters to the corresponding time consumed for unfavorable trend floating control during the monitoring area operation cycle as environmental control information data;

[0042] The ratio of the continuous growth span value to the mean deviation value, and the ratio of the favorable trend floating time to the unfavorable trend floating control time are compared with the span mean ratio threshold and the duration ratio threshold respectively:

[0043] If the ratio of the continuous growth span value to the mean of the deviation value does not exceed the span-to-mean ratio threshold, or the ratio of the corresponding duration of the favorable trend floating time to the unfavorable trend floating control time does not exceed the duration ratio threshold, it is inferred that the environmental information analysis in the monitoring area is unqualified, and an environmental information unqualified signal is generated and sent to the information management platform. After the information management platform receives the environmental information unqualified signal,

[0044] If the ratio of the continuously growing span value to the mean of the deviation value exceeds the span-to-mean ratio threshold, and the ratio of the corresponding duration of the favorable trend floating time to the unfavorable trend floating control time exceeds the duration ratio threshold, it is inferred that the environmental information analysis in the monitoring area is qualified, and an environmental information qualified signal is generated and sent to the information management platform. At the same time, a personnel information analysis signal is generated and sent to the personnel information analysis unit.

[0045] After receiving the personnel information analysis signal, the personnel information analysis unit conducts personnel information analysis on the monitoring area. Through information monitoring and processing of medical staff in the monitoring area, it infers whether the current medical staff meets the actual operation requirements of the monitoring area, and conducts professional skills assessment on the medical staff to ensure the professionalism of the medical staff in the monitoring area, which can further ensure the operation efficiency of the monitoring area.

[0046] During the operation of the monitoring area, when medical staff respond to the patients they are responsible for, the real-time waiting time peak increase rate of the patients they are responsible for is collected, and the execution deviation operation frequency decrease rate of the medical staff's real-time execution process and the standard execution process in response to the patient's needs is collected. The ratio of the patient waiting time peak increase rate and the process execution deviation operation frequency decrease rate is calculated, and the obtained numerical ratio is marked as medical skill information; the numerical ratio only counts the numerical fluctuations of the two data, and does not consider the problem of inconsistent units;

[0047] During the operation of the monitoring area, the total proportion of the disinfected area in the overlapping area of ​​the medical staff's non-sterile area exposed to air and the area of ​​the medical staff's body exposed to air after entering the sterile area is obtained, and the total proportion of the disinfected area in the overlapping area of ​​the medical staff's non-sterile area exposed to air and the area of ​​the medical staff's body exposed to air after entering the sterile area is marked as medical knowledge information;

[0048] The medical skills information and medical knowledge information are compared with the speed ratio threshold and area ratio threshold respectively:

[0049] If the medical skills information exceeds the speed ratio threshold, or the medical knowledge information exceeds the area ratio threshold, it is inferred that the personnel information analysis in the monitoring area is abnormal, and a low personnel satisfaction signal is generated and sent to the information management platform. After receiving the low personnel satisfaction signal, the information management platform will assess the medical personnel in the monitoring area and conduct job scheduling;

[0050] If the medical skills information does not exceed the speed ratio threshold, and the medical knowledge information does not exceed the area ratio threshold, it is inferred that the information analysis of personnel in the monitoring area is normal, and a high personnel satisfaction signal is generated and sent to the information management platform;

[0051] At the same time, a critical care information analysis signal is generated and sent to the critical care information analysis unit. After receiving the critical care information analysis signal, the critical care information analysis unit performs a critical care information analysis on the monitoring area to infer whether the real-time instrument monitoring efficiency of the critically ill patients in the monitoring area meets the actual monitoring needs, thereby ensuring the operating efficiency of the monitoring area and detecting the real-time characteristic parameters of the critically ill patients to ensure the monitoring safety of the critically ill patients;

[0052] The delay time of the characteristic parameter floating warning moment corresponding to the stage of continuous change in the characteristic parameter floating amount of the instrument equipped with the critically ill patient during the operation of the monitoring area is collected. At the same time, the characteristic parameter floating comparison monitoring error values ​​corresponding to different cycles when the critically ill patient is equipped with the instrument for multiple monitoring cycles during the operation of the monitoring area are obtained. The delay time of the characteristic parameter floating warning moment corresponding to the stage of continuous change in the characteristic parameter floating amount of the instrument equipped with the critically ill patient during the operation of the monitoring area and the characteristic parameter floating comparison monitoring error values ​​corresponding to different cycles when the critically ill patient is equipped with the instrument for multiple monitoring cycles during the operation of the monitoring area are marked as monitoring delay information and monitoring error information, and are compared with the monitoring delay time threshold and the monitoring error threshold respectively:

[0053] If the delay time of the characteristic parameter floating warning moment of the instrument equipped with the critically ill patient during the operation of the monitoring area exceeds the monitoring delay time threshold when the characteristic parameter floating amount of the instrument continuously changes, or if the critically ill patient is equipped with an instrument for multiple monitoring cycles during the operation of the monitoring area, the characteristic parameter floating comparison monitoring error value corresponding to different cycles exceeds the monitoring error threshold, then it is inferred that the critical information monitoring in the current monitoring area is abnormal, and an equipment inefficiency signal is generated and sent to the information management platform. After receiving the equipment inefficiency signal, the information management platform performs operation and maintenance upgrades on the medical equipment equipped in the monitoring area;

[0054] If the delay time of the characteristic parameter floating warning moment corresponding to the stage of continuous change of the characteristic parameter floating amount of the instrument equipped for the critically ill patient during the operation of the monitoring area does not exceed the monitoring delay time threshold, and when the critically ill patient is equipped with instruments for multiple monitoring cycles during the operation of the monitoring area, the characteristic parameter floating comparison monitoring error values ​​corresponding to different cycles do not exceed the monitoring error threshold, it is inferred that the critical information monitoring in the current monitoring area is normal, and the equipment high-efficiency signal is generated and sent to the information management platform.

[0055] Example 2

[0056] See also Figure 2 As shown, this system has added a monitoring efficiency analysis unit. The information management platform generates a monitoring efficiency analysis signal and sends the monitoring efficiency analysis signal to the monitoring efficiency analysis unit. After receiving the monitoring efficiency analysis signal, the monitoring efficiency analysis unit evaluates the monitoring efficiency of the monitoring area and infers whether the monitoring efficiency in the current monitoring area meets the patient's monitoring needs. This ensures the timeliness of real-time monitoring control during the patient monitoring process, while ensuring the beneficial effect of monitoring and ensuring that the fluctuation frequency of the patient's monitoring parameters continues to decrease.

[0057] Acquire abnormal characteristic parameters of critically ill patients during the operation of the monitoring area and mark them as monitoring parameters, where the abnormal characteristic parameters are represented by parameters of the patient's vital characteristic parameters that exceed the normal range, collect the peak value of the deviation duration between the floating moment of the abnormal characteristic parameters of critically ill patients during the operation of the monitoring area and the floating parameter detection moment, and at the same time obtain the corresponding parameter floating controllable amount of real-time monitoring control after the abnormal characteristic parameters of critically ill patients during the operation of the monitoring area float, specifically the maximum suppression speed of the parameter floating speed, and mark the peak value of the deviation duration between the floating moment of the abnormal characteristic parameters of critically ill patients during the operation of the monitoring area and the floating parameter detection moment, and the corresponding parameter floating controllable amount of real-time monitoring control after the abnormal characteristic parameters of critically ill patients during the operation of the monitoring area float as SCF and KKL respectively;

[0058] The numerical ratio of the rising speed of the floating frequency of abnormal characteristics of critically ill patients and the increasing speed of the nursing time of medical staff during the operation of the monitoring area is collected, and the numerical ratio of the rising speed of the floating frequency of abnormal characteristics of critically ill patients and the increasing speed of the nursing time of medical staff during the operation of the monitoring area is marked as SZB;

[0059] The above collected data are uniformly marked as efficiency analysis information and substituted into the formula to obtain the efficiency analysis coefficient of the monitoring area operation process, where the formula is:

[0060] Where XS is the efficiency analysis coefficient, kjh1, kjh2 and kjh3 are preset proportional coefficients respectively;

[0061] Compare the efficiency analysis coefficient during the operation of the monitoring area with the efficiency analysis coefficient threshold:

[0062] If the efficiency analysis coefficient during the operation of the monitoring area exceeds the efficiency analysis coefficient threshold, it is inferred that the monitoring efficiency of critically ill patients during the current operation of the monitoring area is qualified, and a monitoring efficiency analysis qualified signal is generated and sent to the information management platform;

[0063] If the efficiency analysis coefficient during the operation of the monitoring area does not exceed the efficiency analysis coefficient threshold, it is inferred that the monitoring efficiency of critically ill patients during the current operation of the monitoring area is unqualified, and a monitoring efficiency analysis failure signal is generated and sent to the information management platform. After receiving the monitoring efficiency analysis failure signal, the information management platform will rectify the monitoring area;

[0064] Example 3

[0065] See also Figure 3 As shown, an information management method for an intensive care unit is provided. The specific information management method is as follows:

[0066] Environmental information analysis: Conduct environmental information analysis on the intensive care unit, set environmental parameters for the monitoring area, obtain trends in setting environmental parameter thresholds, collect environmental setting information data and environmental control information data, and infer whether the environmental information analysis is qualified based on data comparison;

[0067] Personnel information analysis: Conduct personnel information analysis of the monitoring area, collect medical skills information and medical knowledge information, and infer whether there are any abnormalities in the personnel information analysis based on information comparison;

[0068] Critical care information analysis: Conduct critical care information analysis on the monitoring area, collect monitoring delay information and monitoring error information, and infer whether critical care information monitoring is abnormal based on information analysis;

[0069] Monitoring efficiency analysis, monitoring efficiency evaluation of the monitoring area, inferring whether the monitoring efficiency in the current monitoring area meets the patient's monitoring needs, substituting the efficiency analysis information into the formula to obtain the efficiency analysis coefficient during the operation of the monitoring area, and comparing the efficiency analysis coefficient during the operation of the monitoring area with the efficiency analysis coefficient threshold: if the monitoring efficiency of critically ill patients is qualified, a monitoring efficiency analysis qualified signal is generated; if the monitoring efficiency of critically ill patients is unqualified, a monitoring efficiency analysis unqualified signal is generated.

[0070] Additionally, a computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned intensive care unit information management method.

[0071] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing related hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods.

[0072] Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory, non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory, and volatile memory may include random access memory (RAM) or external cache memory.

[0073] By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0074] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0075] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The coefficients in the formula are set by those skilled in the art according to the actual situation; for example: A person skilled in the art collected multiple sets of sample data and set corresponding reference coefficients for each set of sample data; the set reference coefficients and the collected sample data were substituted into the formula, and any three formulas formed a system of three linear equations. The calculated coefficients were screened and averaged, and the values ​​of kjh1, kjh2, and kjh3 were obtained to be 3.68, 2.81, and 2.32, respectively;

[0076] Thresholds, preset values, and preset ranges are set for comparative analysis of results to determine whether they are good or bad. The values ​​are set based on a combination of large-scale model analysis of sample data and manual experience, and can also be adjusted appropriately based on seasonal or common-sense factors.

[0077] The weight ratio coefficient, impact factor, etc. are set based on the impact of each parameter on the result. Specific values ​​are assigned to reflect the impact on the result. They are also set and stored through a combination of large-scale model analysis of sample data and manual experience. Appropriate adjustments can also be made based on seasonal or common sense influencing conditions.

[0078] When the present invention is in use, the environmental information analysis unit performs environmental information analysis on the intensive care unit, sets environmental parameters of the monitoring area, obtains the trend of environmental parameter threshold setting, collects environmental setting information data and environmental control information data, and infers whether the environmental information analysis is qualified based on data comparison; the personnel information analysis unit performs personnel information analysis on the monitoring area, collects medical skills information and medical common sense information, and infers whether there are abnormalities in the personnel information analysis based on information comparison; the critical care information analysis unit performs critical care information analysis on the monitoring area, collects monitoring delay information and monitoring error information, and infers whether the critical care information monitoring is abnormal based on information analysis.

[0079] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intensive care unit information management system, characterized in that: It includes an information management platform, which is connected to an environmental information analysis unit, a personnel information analysis unit, and a critical care information analysis unit; The environmental information analysis unit conducts environmental information analysis on the intensive care unit, sets environmental parameters for the monitoring area, obtains trends in environmental parameter threshold settings, collects environmental information data and environmental control information data, and infers whether the environmental information analysis is qualified based on data comparison; The personnel information analysis unit conducts personnel information analysis in the monitoring area, collects medical skills information and medical knowledge information, and infers whether there are any abnormalities in the personnel information analysis based on information comparison; The critical care information analysis unit conducts critical care information analysis on the monitoring area, collects monitoring delay information and monitoring error information, and infers whether the critical care information monitoring is abnormal based on the information analysis.

2. The intensive care unit information management system according to claim 1, characterized in that: Environmental parameter threshold setting trend division process: the environmental parameter threshold setting trend is divided into environmental parameter floating trend. If the threshold setting trend is continuously growing, the growth trend is set as a favorable trend of the environmental parameter. If the threshold trend is set to continue decreasing, the decreasing trend is set as a favorable trend of the environmental parameter.

3. The intensive care unit information management system according to claim 2, characterized in that: The environmental information data is: the ratio of the continuous growth span value of the favorable trend of the set threshold value of the regional environmental parameters during the operation cycle of the monitoring area, and the average value of the deviation between the actual environmental parameters of the current cycle and the set threshold value; the environmental control information data is the numerical ratio of the corresponding time of the favorable trend floating time of the regional environmental parameters during the operation cycle of the monitoring area to the time consumed for the unfavorable trend floating control.

4. The intensive care unit information management system according to claim 3, characterized in that: If the environmental information data does not exceed the cross-mean ratio threshold, or the environmental control information data does not exceed the duration ratio threshold, an environmental information unqualified signal is generated; if the environmental information data exceeds the cross-mean ratio threshold and the environmental control information data exceeds the duration ratio threshold, an environmental information qualified signal is generated.

5. The intensive care unit information management system according to claim 1, characterized in that: The medical skills information is the ratio of the peak increase rate of patient waiting time to the decrease rate of process execution deviation operation frequency. The medical common sense information is the total proportion of the disinfection area completed in the overlapping area of ​​the medical staff's non-sterile area in the air-exposed body area and the air-exposed body area after entering the sterile area.

6. An intensive care unit information management system according to claim 5, characterized in that: If the medical skills information exceeds the speed ratio threshold, or the medical knowledge information exceeds the area ratio threshold, a low personnel satisfaction signal is generated; If the medical skills information does not exceed the speed ratio threshold, and the medical knowledge information does not exceed the area ratio threshold, a high personnel satisfaction signal is generated.

7. The intensive care unit information management system according to claim 1, characterized in that: The monitoring delay information and monitoring error information are respectively the delay duration of the characteristic parameter floating warning moment corresponding to the stage of continuous change of the characteristic parameter floating amount of the instrument equipped for the critically ill patient during the operation of the monitoring area, and the monitoring error value of the characteristic parameter floating comparison corresponding to different cycles when the critically ill patient is equipped with instruments for multiple monitoring cycles during the operation of the monitoring area.

8. The intensive care unit information management system according to claim 7, characterized in that: If the monitoring delay information exceeds the monitoring delay time threshold, or the monitoring error information exceeds the monitoring error threshold, a device inefficiency signal is generated; if the monitoring delay information does not exceed the monitoring delay time threshold, and the monitoring error information does not exceed the monitoring error threshold, a device high efficiency signal is generated.

9. A method for information management of an intensive care unit, characterized in that: An intensive care unit information management system according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed by a processor, the method for information management of an intensive care unit as claimed in claim 9 is implemented.

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