Intensive care parameter intelligent recommendation and adaptive optimization entry method and system

Abstract

The invention relates to an intensive care parameter intelligent recommendation and self-adaptive optimization entry method and system. The method comprises the following steps of obtaining an association relationship of table item data in an intensive care system table; in response to an operation of selecting a first table item from the intensive care system table by a user, adding the first table item into the intensive care system table, and synchronously adding a second table item associated with the first table item into the intensive care system table in a temporary display mode based on the association relationship; monitoring an operation behavior of a user on the second table item; if an operation is detected, retaining the second table item in the intensive care system table; and if the operation is not detected, automatically removing the second table item. According to the novel intensive care system data interaction method, the clinical parameter relevance can be intelligently recognized, interaction steps are reduced, differential recommendation is provided, and the medical data recording efficiency is improved.

Description

Technical Field

[0001] This application relates to the technical field of interactive optimization of intensive care systems, and in particular to a method and system for intelligent recommendation and adaptive optimization of intensive care parameters. Background Technology

[0002] Intensive care systems (such as ICU information systems) are core tools in clinical diagnosis and treatment, and their user interface directly impacts the work efficiency of medical staff and the accuracy of data recording. Currently, such systems typically employ a multi-form, multi-parameter input design, requiring data such as vital signs, respiratory support, and drug dosages to be filled in or selected item by item. However, in actual clinical applications, medical staff often need to monitor multiple closely related indicators simultaneously (such as the "oxygen flow rate" and "oxygen concentration" of a ventilator), but existing user interfaces lack intelligent association recommendation mechanisms, leading to cumbersome operation, easy omission of key parameters, and potentially affecting the timeliness of diagnostic and treatment decisions.

[0003] The existing intensive care unit (ICU) systems mainly have the following key problems in data interaction:

[0004] On the one hand, the system failed to effectively identify and prompt strongly correlated parameter combinations in clinical monitoring, requiring medical staff to manually search for relevant parameters based on their personal experience, increasing their cognitive load; and in emergency situations, it is easy to miss the recording of key correlated parameters.

[0005] On the other hand, most existing systems employ linear operation processes, requiring multiple clicks to complete the entry of related parameters. Recording complete data for a single patient often necessitates switching between multiple interfaces; frequent interface jumps not only prolong operation time but also increase the risk of operational errors.

[0006] On the other hand, the system fails to establish an effective operational feedback mechanism to optimize subsequent parameter recommendations. Even if medical staff repeatedly ignore certain recommended parameters, the system will continue to provide the same recommendations; it cannot provide personalized recommendations based on departmental characteristics or doctors' habits.

[0007] Therefore, in this context, how to provide a novel data interaction method for intensive care systems that can intelligently identify the correlation of clinical parameters, reduce interaction steps, and provide differentiated recommendations to improve the efficiency of medical data recording is a technical problem that needs to be solved. Summary of the Invention

[0008] In view of the above-mentioned problems in the prior art, this application provides a method and system for intelligent recommendation and adaptive optimization of intensive care parameters, which can provide a new data interaction method for intensive care systems that can intelligently identify the correlation of clinical parameters, reduce interaction steps, and provide differentiated recommendations to improve the efficiency of medical data recording. This is a technical problem to be solved.

[0009] To achieve the above objectives, the first aspect of this application provides a method for intelligent recommendation and adaptive optimization of intensive care parameters, comprising:

[0010] By monitoring historical operation records, the relationships between various entries in the intensive care system tables can be obtained;

[0011] In response to the user's operation of selecting a first item in the intensive care system table, the first item is added to the intensive care system table, and based on the association relationship, a second item associated with the first item is simultaneously added to the intensive care system table in a temporary display mode;

[0012] Monitor user actions on the second entry: if an action is detected, the second entry is retained in the intensive care system table; if no action is detected, the second entry is automatically removed.

[0013] Therefore, this application automatically establishes and prompts related parameters in clinical monitoring by dynamically identifying and temporarily displaying a second item associated with the selected item. This reduces the workload of medical staff manually searching for relevant parameters based on experience, avoids missing key test items in emergency situations, reduces interaction steps, and provides differentiated selections based on different departments and patients. Furthermore, the user's behavior determines whether to retain the associated item, avoiding additional operations caused by automatic recommendations.

[0014] As one possible implementation of the first aspect, the temporary display method has a display style different from the existing intensive care system entries, including different colors and fonts.

[0015] As described above, by using visual differentiation methods such as color and font, users can intuitively identify the temporary table items recommended by the system, reducing the probability of accidental operation.

[0016] As one possible implementation of the first aspect, the monitoring of user operations on the second table item is limited to a preset time period; the operations include: adding data and clicking data.

[0017] As shown above, the monitoring mechanism with a preset time period not only gives users ample time to operate, but also avoids invalid recommendations occupying interface resources for a long time.

[0018] As one possible implementation of the first aspect, the association is obtained based on historical operation records, including:

[0019] Record the frequency of entries added to the same medical monitoring system table as the first entry within a recent period;

[0020] Sort the entries according to their frequency of addition;

[0021] The first n entries in the sorting are selected as associated entries.

[0022] Based on the actual frequency of additions, the association results are established to better align with the operational habits of medical staff, departments, and wards.

[0023] As one possible implementation of the first aspect, the record further includes an operation frequency; the addition frequency is weighted according to the operation frequency, including:

[0024] Set the weight of the second representation to 1.0;

[0025] Record the frequency of user operations on the second table entry when the second table entry is added simultaneously with the first table entry;

[0026] If the operation frequency is lower than the threshold, the weight is reduced;

[0027] If the operation frequency is higher than the threshold, then the weight is increased.

[0028] Therefore, by introducing operation frequency as a weight, the accuracy of recommendations can be continuously optimized during use.

[0029] As one possible implementation of the first aspect, the association relationship includes strong association and weak association relationship;

[0030] The table entries related to the patient's current monitoring device type have the aforementioned strong correlation;

[0031] The association relationship obtained by the operation frequency, number of additions, or addition time of the second table item is the weak association relationship;

[0032] If a user repeatedly ignores a second table entry that is strongly associated with the first table entry, a prompt message will be generated.

[0033] In summary, by distinguishing between clinical mandatory association and statistical association, we can ensure that key medical logic is not ignored (strong association prompts) while maintaining operational flexibility (statistical association).

[0034] The second aspect of this application provides a method for intelligent recommendation and adaptive optimization of intensive care parameters, including:

[0035] Displays an intensive care system table that includes multiple entries, wherein the intensive care system table has an interactive control for adding entries;

[0036] In response to the user's operation on the interactive control, a table selection interface is displayed, wherein the table selection interface includes multiple table items for the user to select;

[0037] In response to the user's selection of the first table item, the efficient patient data entry method for the intensive care system described in any one of the first aspects is executed.

[0038] The third aspect of this application provides an intelligent recommendation and adaptive optimization input system for intensive care parameters, including:

[0039] The event listening module listens to historical operation records to obtain the relationships between various entries in the intensive care system table;

[0040] The table entry addition module is used to respond to the user's operation of selecting a first table entry in the intensive care system table, add the first table entry to the intensive care system table, and, based on the association relationship, simultaneously add a second table entry associated with the first table entry to the intensive care system table in a temporary display mode.

[0041] The table entry detection module is used to monitor the user's operation behavior on the second table entry: if an operation is detected, the second table entry is retained in the intensive care system table; if no operation is detected, the second table entry is automatically removed.

[0042] A fourth aspect of this application provides a computing device, including: a processor and a memory having program instructions stored thereon, the program instructions, when executed by the processor, causing the processor to perform the efficient patient data entry method for the intensive care system according to any one of the first aspects.

[0043] The fifth aspect of this application provides a computer-readable storage medium having program instructions stored thereon, which, when executed by a computer, cause the computer to perform the efficient patient data entry method for the intensive care system according to any one of the first aspects. Attached Figure Description

[0044] Figure 1 This is a flowchart of the efficient patient data entry method for the intensive care system provided in the first embodiment of this application;

[0045] Figure 2a This is a flowchart of the efficient patient data entry method for the intensive care system provided in the second embodiment of this application;

[0046] Figure 2b This is a schematic representation of the intensive care system provided in the second embodiment of this application;

[0047] Figure 2c This is a schematic diagram of the add row interface provided in the second embodiment of this application;

[0048] Figure 3 This is a flowchart of an efficient patient data entry method for an intensive care system provided in the third embodiment of this application;

[0049] Figure 4 This is a schematic diagram of the efficient patient data entry system of the intensive care system provided in the embodiments of this application;

[0050] Figure 5 This is a schematic structural diagram of a computing device provided in an embodiment of this application.

[0051] It should be understood that the dimensions and shapes of the blocks in the above structural diagrams are for reference only and should not constitute an exclusive interpretation of the embodiments of the present invention. The relative positions and inclusion relationships between the blocks presented in the structural diagrams are only schematic representations of the structural relationships between the blocks, and are not intended to limit the physical connection methods of the embodiments of the present invention. Detailed Implementation

[0052] The technical solutions provided in this application will be further described below with reference to the accompanying drawings and embodiments. It should be understood that the system architecture and business scenarios provided in the embodiments of this application are mainly for illustrating possible implementations of the technical solutions of this application and should not be construed as the sole limitation on the technical solutions of this application. Those skilled in the art will recognize that the technical solutions provided in this application are equally applicable to similar technical problems as system architectures evolve and new business scenarios emerge.

[0053] It should be understood that the efficient patient data entry scheme for the intensive care system provided in this application includes an efficient patient data entry method, system, computing device, and computer-readable storage medium for the intensive care system. Since these technical solutions solve problems based on the same or similar principles, some repetitive details may not be repeated in the following description of specific embodiments. However, it should be considered that these specific embodiments have mutual references and can be combined with each other.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. In case of any inconsistency, the meaning set forth in this specification or derived from the content described herein shall prevail. Furthermore, the terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit the scope of this application.

[0055] The efficient patient data entry scheme for intensive care systems provided in this application embodiment can obtain the correlation relationships between various items in the intensive care system table; respond to the user's selection operation in the intensive care system table, add the selected item to the intensive care system table, and synchronously add related items to the intensive care system table in a temporary display manner based on the correlation relationship; in addition, it also monitors the user's operation behavior on the temporarily added items: if an operation is detected, the temporary item is retained in the intensive care system table; if no operation is detected, the temporary item is automatically removed. This method can provide a novel data interaction method for intensive care systems that can intelligently identify the correlation of clinical parameters, reduce interaction steps, and provide differentiated recommendations to improve the efficiency of medical data recording. The embodiments of this application can be applied to intensive care systems in various medical and scientific research fields. The embodiments of this application are described in detail below with reference to the accompanying drawings.

[0056] The first embodiment of this application provides a method for intelligent recommendation and adaptive optimization of intensive care parameters. The following will combine... Figure 1 The implementation of each step of the method is described in detail, including steps S10-S30.

[0057] S10: By monitoring historical operation records, obtain the relationships between the entries in the intensive care system table.

[0058] In some embodiments, the association is obtained based on historical operation records, including: recording the addition frequency of entries that were added to the same medical monitoring system table along with the first entry in a recent period; sorting the entries according to the addition frequency; and selecting the first n entries in the sort as associated entries.

[0059] In some embodiments, the record further includes operation frequency; the addition frequency is weighted according to the operation frequency, including: setting the weight of the second table entry to 1.0; recording the user's operation frequency on the second table entry when the second table entry and the first table entry are added simultaneously; if the operation frequency is lower than a threshold, the weight is reduced; if the operation frequency is higher than the threshold, the weight is increased.

[0060] In some embodiments, the addition frequency and operation frequency are obtained through an event listening module.

[0061] In some embodiments, the association relationship includes strong association and weak association relationship; the table entries related to the patient's current monitoring device type have the strong association relationship; the association relationship obtained through the operation frequency, number of additions, or addition time of the second table entry is the weak association relationship; if the user ignores the second table entry which is strongly associated with the first table entry multiple times in a row, a prompt message is generated.

[0062] In some embodiments, independent relational databases are established for different departments (such as ICU, CCU, NICU). For example, in the ICU department, there is a strong correlation between "oxygen saturation" and "respiratory rate".

[0063] S20: In response to the user's operation of selecting a first item in the intensive care system table, add the first item to the intensive care system table, and based on the association relationship, synchronously add the second item associated with the first item to the intensive care system table in a temporary display mode.

[0064] In some embodiments, the temporary display method has a different display style from the existing intensive care system entries, including different colors and fonts.

[0065] In some embodiments, different temporary display methods are used for strongly related and weakly related entries.

[0066] In some embodiments, related table entries are displayed in groups.

[0067] S30: Monitor user actions on the second entry: if an action is detected, retain the second entry in the intensive care system table; if no action is detected, automatically remove the second entry.

[0068] In some embodiments, the monitoring of user actions on the second table item is limited to a preset time period; the actions include: adding data and clicking data.

[0069] In some embodiments, an intensive care system table including multiple entries is displayed, wherein the intensive care system table has an interactive control for adding entries; in response to the user's operation on the interactive control, an entry selection interface is displayed, wherein the entry selection interface includes multiple entries for the user to select; in response to the user's operation of selecting a first entry, the above steps S10-S30 are executed.

[0070] The second embodiment of this application provides a method for intelligent recommendation and adaptive optimization of intensive care parameters. The following will refer to... Figure 2a The flowchart shown illustrates that the method provided in this second embodiment includes the following steps S200-S220.

[0071] S200: Obtain the relationships between the entries in the intensive care system table.

[0072] like Figure 2b As shown, the intensive care system table has multiple rows of entries, and medical staff can manually or through equipment monitoring to input data into the value range of the entries.

[0073] In the project panel, users can add table items by clicking "Add Row" and then enter data or perform other operations in the newly added table items.

[0074] However, in actual use, the parameters of intensive care equipment are often quite complex, requiring medical staff to perform a large amount of repetitive work adding entries, inevitably leading to omissions and errors. This application adds related entries together when medical staff add data, thereby reducing their workload.

[0075] The relationships between the various entries are obtained through historical operation frequency, as detailed below:

[0076] Monitor user behavior in adding entries over a historical period, for example, for the IPAP (Positive Inspiratory Phase Pressure) entry. Each time IPAP is added to the intensive care system table, EPAP (Positive Expiratory Phase Pressure), oxygen flow rate (L / min), respiratory rate (non-invasive) (breaths / min), and IPR ratio (set) (%) are also added to the intensive care system table.

[0077] In the last 100 additions of IPAP entries, a total of 88 were for EPAP, 85 for oxygen flow rate, 49 for IPR ratio, and 52 for respiratory rate. The addition records obtained by the event monitoring module are summarized in Table 1.

[0078] Adding records to Table 1

[0079]

[0080]

[0081] The addition frequencies of EPAP, oxygen flow rate, inspiratory-to-expiratory ratio, and respiratory rate are 0.85, 0.49, 0.49, and 0.52, respectively.

[0082] The operation frequencies of EPAP, oxygen flow rate, inspiratory-to-expiratory ratio, and respiratory rate were obtained from the event listening module in the last 15 times when IPAP was added to the intensive care system table: 1.00, 0.80, 0.67, and 0.53, respectively.

[0083] After weighting according to the operating frequency, the above items are ordered as follows: EPAP (0.85), oxygen flow rate (0.392), inspiratory-to-expiratory ratio (0.328), respiratory rate (0.276).

[0084] Select the first three as related table items: EPAP, oxygen flow rate, and inspiratory-to-expiratory ratio.

[0085] S210: In response to the user's operation of adding a row, add the table entries associated with the row to be added to the intensive care system table.

[0086] After clicking "Add Row" on the Intensive Care Unit (ICU) system table page, a pop-up window appears as follows: Figure 2c The selection table page is shown. Users select the parameter items that need to be monitored.

[0087] After selecting and confirming IPAP, the EPAP, oxygen flow rate, and IPR ratio are also added to the intensive care system's table page for user operation. The EPAP, oxygen flow rate, and IPR ratio are displayed in a different style than the original table items.

[0088] S220: Monitor user actions on associated table entries: If an action is detected, the associated table entry is retained in the intensive care system table; if no action is detected, the associated table entry is automatically removed.

[0089] Within a 5-minute period, monitor user actions on related table entries. If any user performs actions such as inputting, modifying, or viewing data on a related table entry, the entry will be retained in the intensive care system table, and the display style will be restored to the standard style.

[0090] Otherwise, the entry will be automatically removed.

[0091] Through the above steps, we continuously optimize the user's interactive experience.

[0092] The third embodiment of this application provides a method for intelligent recommendation and adaptive optimization of intensive care parameters, such as... Figure 3 As shown, the efficient patient data entry method of this intensive care system includes steps S300-S320:

[0093] S300: Display an intensive care system table including multiple entries, wherein the intensive care system table has an interactive control for adding entries.

[0094] S310: In response to the user's operation on the interactive control, display the item selection interface, wherein the item selection interface includes multiple items for the user to select.

[0095] S320: In response to the user's selection of the first table item, execute the efficient patient data entry method for the intensive care system described in any one of the first aspects.

[0096] The fourth embodiment of this application provides an intelligent recommendation and adaptive optimization input system for intensive care parameters. This system can be used to implement the application compression method described in the above embodiments, such as... Figure 4 As shown, the efficient patient data entry system of this intensive care unit includes:

[0097] The event monitoring module is used to obtain the relationship between each item in the intensive care system table by monitoring historical operation records; specifically, the event monitoring module can be used to implement step S10 in the first embodiment and its optional embodiments.

[0098] The table entry addition module is used to respond to the user's operation of selecting a first table entry in the intensive care system table, add the first table entry to the intensive care system table, and, based on the association relationship, synchronously add a second table entry associated with the first table entry to the intensive care system table in a temporary display mode; specifically, the table entry addition module can be used to implement step S20 in the first embodiment and its optional embodiments.

[0099] The entry detection module is used to monitor user actions on the second entry: if an action is detected, the second entry is retained in the intensive care system table; if no action is detected, the second entry is automatically removed. Specifically, this entry detection module can be used to implement step S30 in the first embodiment and its optional embodiments.

[0100] Figure 5 This is a schematic structural diagram of a computing device 900 provided in an embodiment of this application. This computing device can execute various optional embodiments of the methods described above. The computing device can be a terminal, or a chip or chip system within the terminal. Figure 5 As shown, the computing device 900 includes: a processor 910, a memory 920, and a communication interface 930.

[0101] It should be understood that Figure 5 The communication interface 930 in the computing device 900 shown can be used to communicate with other devices, and may specifically include one or more transceiver circuits or interface circuits.

[0102] The processor 910 can be connected to the memory 920. The memory 920 can be used to store the program code and data. Therefore, the memory 920 can be a storage unit inside the processor 910, an external storage unit independent of the processor 910, or a component that includes both the storage unit inside the processor 910 and the external storage unit independent of the processor 910.

[0103] Optionally, the computing device 900 may also include a bus. The memory 920 and communication interface 930 can be connected to the processor 910 via the bus. The bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 The symbol is represented by a line without an arrow, but this does not mean that there is only one bus or one type of bus.

[0104] It should be understood that in the embodiments of this application, the processor 910 may be a central processing unit (CPU). The processor may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. Alternatively, the processor 910 may employ one or more integrated circuits to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0105] The memory 920 may include read-only memory and random access memory, and provides instructions and data to the processor 910. A portion of the processor 910 may also include non-volatile random access memory. For example, the processor 910 may also store device type information.

[0106] When the computing device 900 is running, the processor 910 executes computer execution instructions stored in the memory 920 to perform any of the operational steps of the above method and any of the optional embodiments thereof.

[0107] It should be understood that the computing device 900 according to the embodiments of this application can correspond to the corresponding subject in executing the methods according to the various embodiments of this application, and the above and other operations and / or functions of each module in the computing device 900 are respectively for implementing the corresponding processes of the methods of this embodiment. For the sake of brevity, they will not be described in detail here.

[0108] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0109] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0110] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0111] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0112] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0113] If the aforementioned functions are implemented as 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 this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0114] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, is used to perform the above-described method, which includes at least one of the schemes described in the above embodiments.

[0115] The computer storage medium in this application embodiment can be any combination of one or more computer-readable media. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0116] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0117] The program code contained on a computer-readable medium may be transmitted using any suitable medium, including, but not limited to, wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0118] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0119] Furthermore, the terms "first, second, third, etc." or similar terms such as module A, module B, and module C used in the specification and claims are only used to distinguish similar objects and do not represent a specific ordering of objects. It is understood that, where permissible, a specific order or sequence may be interchanged so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0120] In the above description, the labels of the steps involved, such as S110, S120, etc., do not mean that the steps will necessarily be executed. The order of the steps can be interchanged or executed simultaneously if permitted.

[0121] The term "comprising" as used in the specification and claims should not be construed as limiting itself to what follows; it does not exclude other elements or steps. Therefore, it should be interpreted as specifying the presence of the mentioned feature, integral, step, or component, but does not exclude the presence or addition of one or more other features, integrals, steps, or components, or groups thereof. Thus, the statement "device comprising means A and B" should not be limited to a device consisting solely of components A and B.

[0122] The terms "an embodiment" or "an embodiment" as used in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in at least one embodiment of this application. Therefore, the terms "in one embodiment" or "in an embodiment" appearing throughout this specification do not necessarily refer to the same embodiment, but may refer to the same embodiment. Furthermore, in one or more embodiments, the particular features, structures, or characteristics can be combined in any suitable manner, as will be apparent to those skilled in the art from this disclosure.

[0123] Note that the above are merely preferred embodiments and the technical principles employed in this application. Those skilled in the art will understand that this application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of this application, all of which fall within the scope of protection of this application.

Claims

1. A method for intelligent recommendation and adaptive optimization of intensive care parameters, characterized in that, Includes the following steps: By monitoring historical operation records, the relationships between various entries in the intensive care system tables can be obtained; In response to the user's operation of selecting a first item in the intensive care system table, the first item is added to the intensive care system table, and based on the association relationship, a second item associated with the first item is simultaneously added to the intensive care system table in a temporary display mode; Monitor user actions on the second entry: if an action is detected, the second entry is retained in the intensive care system table; if no action is detected, the second entry is automatically removed.

2. The method according to claim 1, characterized in that, The temporary display method has a different display style from the existing intensive care system entries, including different colors and fonts.

3. The method according to claim 1, characterized in that, The monitoring of user actions on the second table item is limited to a preset time period; the actions include: adding data and clicking on data.

4. The method according to claim 1, characterized in that, The association relationship is obtained based on historical operation records, including: Record the frequency of entries added to the same medical monitoring system table as the first entry within a recent period; Sort the entries according to their frequency of addition; The first n entries in the sorting are selected as associated entries.

5. The method according to claim 4, characterized in that, The record also includes the operation frequency; the addition frequency is weighted according to the operation frequency, including: Set the weight of the second representation to 1.0; Record the frequency of user operations on the second table entry when the second table entry is added simultaneously with the first table entry; If the operation frequency is lower than the threshold, the weight is reduced; If the operation frequency is higher than the threshold, then the weight is increased.

6. The method according to claim 1, characterized in that, The relationships include strong and weak relationships; The table entries related to the patient's current monitoring device type have the aforementioned strong correlation; The association relationship obtained by the operation frequency, number of additions, or addition time of the second table item is the weak association relationship; If a user repeatedly ignores a second table entry that is strongly associated with the first table entry, a prompt message will be generated.

7. A method for intelligent recommendation and adaptive optimization of intensive care parameters, characterized in that, include: Displays an intensive care system table that includes multiple entries, wherein the intensive care system table has an interactive control for adding entries; In response to the user's operation on the interactive control, a table selection interface is displayed, wherein the table selection interface includes multiple table items for the user to select; In response to the user's selection of the first table item, the efficient patient data entry method of the intensive care system according to any one of claims 1-6 is executed.

8. A system for intelligent recommendation and adaptive optimization of intensive care parameters, characterized in that, include: The event listening module listens to historical operation records to obtain the relationships between various entries in the intensive care system table; The table entry addition module is used to respond to the user's operation of selecting a first table entry in the intensive care system table, add the first table entry to the intensive care system table, and, based on the association relationship, simultaneously add a second table entry associated with the first table entry to the intensive care system table in a temporary display mode. The table entry detection module is used to monitor the user's operation behavior on the second table entry: if an operation is detected, the second table entry is retained in the intensive care system table; if no operation is detected, the second table entry is automatically removed.

9. A computing device, characterized in that, include: processor, and A memory having stored program instructions that, when executed by the processor, cause the processor to perform the efficient patient data entry method for the intensive care system according to any one of claims 1 to 6.

10. A computer program product, characterized in that, It includes program instructions that, when executed by a computer, cause the computer to perform the efficient patient data entry method for the intensive care system according to any one of claims 1 to 6.

Images