First-aid article information management method and system

Abstract

The invention provides a first-aid article information management method and system, and the method comprises the steps: obtaining the medical data of a patient, generating a drug recommendation scheme, and marking the urgency level for the drug recommendation scheme based on the treatment urgency degree; matching medical equipment required for executing the drug recommendation scheme, and collecting basic power consumption of the medical equipment; a power consumption calculation formula is used for calculating the total power demand of the medical equipment for executing the medicine recommendation scheme based on infusion parameters in the medicine recommendation scheme; and judging whether the total power demand exceeds the current available power resource, if the total power demand exceeds the current available power resource, executing a dynamic adjustment operation according to the urgency level, and generating and outputting an execution instruction to an associated terminal, thereby reducing the treatment risk of the patient.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent medical treatment, and particularly relates to a method and system for managing first-aid item information. Background Art

[0002] In the field of modern medical first aid, the management and use of first-aid items (including medicines, medical equipment, etc.) have a crucial impact on the treatment effect of patients. However, there are some technical defects in the existing first-aid item information management systems in practical applications, and these defects may lead to potential risks and low efficiency problems during the first-aid process.

[0003] Existing medicine recommendation systems usually recommend medicines independently based on the patient's condition and treatment needs, without considering the actual operating status and resource limitations of medical equipment. For example, the system may recommend medicines that require long-term infusion, but the allocated equipment has insufficient power, resulting in the inability to complete the infusion task. This situation where medicine recommendation and equipment management are independent of each other lacks an effective information interaction and cooperation mechanism, making the recommended medicine plan impossible to implement in actual operation and increasing the treatment risk of patients. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a method and system for managing first-aid item information to solve the technical problems in the existing technology.

[0005] On the one hand, the invention provides the following technical solution, a method for managing first-aid item information, the method comprising:

[0006] Obtaining the medical data of a patient, generating a medicine recommendation plan, and marking an urgency level for the medicine recommendation plan based on the treatment urgency;

[0007] Matching the medical equipment required to execute the medicine recommendation plan, and collecting the basic power consumption of the medical equipment;

[0008] Calculating the total power demand of the medical equipment to execute the medicine recommendation plan based on the infusion parameters in the medicine recommendation plan by using a power consumption calculation formula;

[0009] Judging whether the total power demand exceeds the current available power resources. If the total power demand exceeds the current available power resources, a dynamic adjustment operation is performed according to the urgency level, and an execution instruction is generated and output to an associated terminal.

[0010] Compared with the prior art, the beneficial effects of the present application are as follows: By judging whether the total power demand exceeds the current available power resources, power shortage is predicted in advance, an early warning is triggered, and the situation of insufficient power is prevented. This reduces manual intervention in emergency situations and reduces treatment interruption events caused by equipment power failure, thereby reducing the treatment risk of patients.

[0011] Further, the steps of generating the drug recommendation plan include:

[0012] Preprocess the original medical record data and extract the text features of the preprocessed original medical record data;

[0013] Use a classification tool to classify the text features and determine the disease category corresponding to the text features;

[0014] Adopt a combined process to perform association rule analysis on the original medical record data of the disease category and generate a drug combination rule library;

[0015] Match the disease category according to the medical data of the current patient, and screen out strong association rules with confidence and lift meeting the standards from the drug combination rule library;

[0016] Generate a recommended drug list based on the strong association rules, and assist the doctor to determine the final drug recommendation through an interactive interface.

[0017] Further, the confidence calculation formula includes:

[0018]

[0019] The calculation formula of the lift includes:

[0020]

[0021] Among them, Conf(X→Y) represents the confidence of the association rule X→Y, Supp(X∪Y) represents the support of the item set X∪Y, Supp(X) represents the support of the item set X, Lift(X→Y) represents the lift of the association rule X→Y, Supp(Y) represents the support of the item set Y, and X and Y respectively represent different drugs.

[0022] Further, the dynamic adjustment operation includes:

[0023] When the treatment urgency level is the first level, perform the following operations:

[0024] Activate the backup battery power supply and calculate its remaining support duration;

[0025] If the remaining support duration is insufficient, send a distress signal including the geographical location and the required power to the mobile charging device group;

[0026] Generate the optimal navigation path based on Dijkstra's algorithm and push it to the target device, and display the estimated arrival time and supplementary power of the target device;

[0027] When the treatment urgency level is the second level, perform the following operations:

[0028] Match low-power alternative drugs according to the drug equivalence database, and verify the interaction between the alternative drugs and the patient's allergy history and drugs;

[0029] If there are compliant alternative drugs, generate a replacement plan and recalculate the power demand;

[0030] If there are no compliant alternative drugs, adjust the infusion mode.

[0031] Furthermore, the low-power alternative drugs need to meet the following conditions:

[0032] The alternative drug has the same therapeutic classification code as the original drug in the drug recommendation plan;

[0033] Verify the safety through the patient allergy history database and the drug interaction database;

[0034] The power consumption of the medical device corresponding to the alternative drug is lower than that of the original drug.

[0035] Furthermore, the adjustment of the infusion mode includes:

[0036] Reduce the infusion rate to 50%-80% of the standard rate and extend the total infusion duration.

[0037] Furthermore, the power consumption calculation formula includes:

[0038]

[0039] E total represents the total power demand, P i represents the basic power consumption of the i-th device, α i represents the aging correction coefficient of the i-th device, t i represents the cumulative usage duration of the i-th device, β and γ respectively represent the regression coefficients related to the device model, η j represents the viscosity of the j-th drug, v represents the drug infusion speed, T i represents the infusion duration of the i-th device, ΔT represents the difference between the ambient temperature and the standard temperature, and δ represents the temperature sensitivity coefficient.

[0040] In a second aspect, the invention provides the following technical solution, an emergency item information management system, the system includes:

[0041] A recommendation module, configured to obtain medical data of a patient, generate a drug recommendation plan, and label an urgency level for the drug recommendation plan based on the treatment urgency.

[0042] An acquisition module, configured to match medical devices required to execute the drug recommendation plan and acquire the basic power consumption of the medical devices.

[0043] A demand module, configured to calculate the total power demand of the medical devices to execute the drug recommendation plan based on the infusion parameters in the drug recommendation plan by using a power consumption calculation formula.

[0044] An adjustment module, configured to determine whether the total power demand exceeds the currently available power resources. If the total power demand exceeds the currently available power resources, a dynamic adjustment operation is performed according to the urgency level, and an execution instruction is generated and output to an associated terminal.

[0045] In a third aspect, the present invention provides the following technical solution. A computer includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the first-aid item information management method as described above is implemented.

[0046] In a fourth aspect, the present invention provides the following technical solution. A storage medium stores a computer program, and when the computer program is executed by a processor, the first-aid item information management method as described above is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0048] Figure 1 It is a flowchart of the first-aid item information management method provided by the first embodiment of the present invention;

[0049] Figure 2 It is a structural block diagram of the first-aid item information management system provided by the second embodiment of the present invention;

[0050] Figure 3 It is a schematic hardware structure diagram of the computer provided by the third embodiment of the present invention.

[0051] The following will further describe the embodiments of the present invention with reference to the drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] Embodiments of the present invention will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the embodiments of the present invention, and should not be construed as limiting the present invention.

[0053] In the description of the embodiments of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.

[0054] In addition, the terms "first" and "second" are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present invention, the meaning of "a plurality" is two or more unless otherwise specifically defined.

[0055] Embodiment 1

[0056] In the first embodiment of the present invention, please refer to Figure 1 As shown, a method for managing first aid item information includes the following steps S01 to S04:

[0057] S01, obtaining the medical data of the patient, generating a drug recommendation plan, and labeling the urgency level for the drug recommendation plan based on the treatment urgency;

[0058] Specifically, the step of generating the drug recommendation plan includes:

[0059] S11, preprocessing the original medical record data and extracting the text features of the preprocessed original medical record data;

[0060] S12, classifying the text features using a classification tool to determine the disease category corresponding to the text features;

[0061] S13, performing association rule analysis on the original medical record data of the disease category using a combined process to generate a drug combination rule library;

[0062] S14, matching the disease category according to the medical data of the current patient, and screening strong association rules with qualified confidence and lift from the drug combination rule library;

[0063] S15. Generate a list of recommended drugs based on the strong association rules, and assist the doctor in determining the final drug recommendation through an interactive interface.

[0064] More specifically, the confidence calculation formula includes:

[0065]

[0066] The calculation formula for the lift includes:

[0067]

[0068] Among them, Conf(X→Y) represents the confidence of the association rule X→Y, Supp(X∪Y) represents the support of the item set X∪Y, Supp(X) represents the support of the item set X, Lift(X→Y) represents the lift of the association rule X→Y, Supp(Y) represents the support of the item set Y, and X and Y respectively represent different drugs.

[0069] In this embodiment, the medical data of the patient covers vital sign data and medical record information. Specifically, the vital sign data includes key indicators such as heart rate, blood pressure, and blood oxygen saturation, while the medical record information covers important contents such as diagnosis results, medication history, and allergy history. These data provide a basis for formulating a drug recommendation plan.

[0070] The basis for judging the treatment urgency is the degree to which the vital signs deviate from the normal threshold. The urgency level of the drug recommendation plan is dynamically calculated according to the deviation degree. For example, when the degree of deviation of the vital signs from the threshold is large, or the patient shows more uncomfortable symptoms, the urgency level will increase accordingly. This dynamic evaluation mechanism ensures that the treatment plan can respond to the actual needs of the patient in a timely manner.

[0071] When processing the original medical record data, a series of preprocessing operations will be carried out, including data cleaning, word segmentation, and removal of stop words. These steps are aimed at improving the quality and usability of the data. Among them, the extraction of text features uses the TF-IDF (Term Frequency-inverse Document Frequency) method, which is a typical method based on statistics and can effectively extract key features in the text.

[0072] In the selection of classification tools, the system provides a variety of classifiers, including DecisionTreeClassifier (Decision Tree Classifier), RandomForestClassifier (Random Forest Classifier), and KNeighborsClassifier (K-Nearest Neighbor Classifier). In this embodiment, RandomForestClassifier is selected as the classification tool because it performs well in processing complex data sets.

[0073] Finally, the entire process adopts the ICFM-growth algorithm, that is, the improved co-occurrence frequency matrix growth algorithm. This algorithm improves the efficiency and accuracy of frequent pattern mining by optimizing the construction process of the co-occurrence frequency matrix, thus providing more accurate support for the drug recommendation scheme.

[0074] S02, match the medical devices required to execute the drug recommendation scheme, and collect the basic power consumption of the medical devices;

[0075] It can be understood that there may be multiple medical devices required for the drug recommendation scheme, such as infusion pumps, ventilators, or electrocardiogram monitors.

[0076] S03, use the power consumption calculation formula to calculate the total power demand of the medical device to execute the drug recommendation scheme based on the infusion parameters in the drug recommendation scheme;

[0077] Specifically, the power consumption calculation formula includes:

[0078]

[0079] E total represents the total power demand, P i represents the basic power consumption of the i-th device, α i represents the aging correction coefficient of the i-th device, t i represents the cumulative usage duration of the i-th device, β and γ respectively represent the regression coefficients related to the device model, η j represents the viscosity of the j-th drug, v represents the drug infusion speed, T i represents the infusion duration of the i-th device, ΔT represents the difference between the ambient temperature and the standard temperature, and δ represents the temperature sensitivity coefficient.

[0080] In this embodiment, the infusion parameters include flow rate, drug viscosity, and infusion duration.

[0081] S04, determine whether the total power demand exceeds the current available power resources. If the total power demand exceeds the current available power resources, perform a dynamic adjustment operation according to the urgency level, generate and output an execution instruction to the associated terminal.

[0082] Specifically, the dynamic adjustment operation includes:

[0083] When the treatment urgency level is the first level, perform the following operations:

[0084] Activate the backup battery power supply and calculate its remaining support duration;

[0085] If the remaining support duration is insufficient, send a distress signal including the geographical location and the required power to the mobile charging device group;

[0086] Generate an optimal navigation path based on the Dijkstra algorithm and push it to the target device, and display the estimated arrival time and the power replenishment amount of the target device;

[0087] When the treatment urgency level is the second level, perform the following operations:

[0088] Match low-power alternative drugs according to the drug equivalence database, and verify the interaction between the alternative drugs and the patient's allergy history and drugs;

[0089] If there are compliant alternative drugs, generate a replacement plan and recalculate the power demand;

[0090] If there are no compliant alternative drugs, adjust the infusion mode.

[0091] More specifically, the low-power alternative drugs need to meet the following conditions:

[0092] The alternative drug has the same therapeutic classification code as the original drug in the drug recommendation plan;

[0093] Verify the safety through the patient allergy history database and the drug interaction database;

[0094] The power consumption of the medical device corresponding to the alternative drug is lower than that of the original drug.

[0095] In this embodiment, after the drug replacement, the driving power consumption of the medical device is reduced by at least 20%.

[0096] More specifically, the adjustment of the infusion mode includes:

[0097] Reduce the infusion rate to 50%-80% of the standard rate and extend the total infusion duration;

[0098] Switch continuous infusion to pulsed infusion mode, and the single infusion dose d pulse Satisfies:

[0099]

[0100] where d pulse is the amount of liquid medicine infused each time in the pulsed infusion mode, tinterval is the time interval between two infusion operations, t total represents the total time from the start to the end of the infusion, d total is the total treatment duration.

[0101] Application scenario: Emergency management of patients with acute left heart failure;

[0102] 1. Initial data input;

[0103] 1.1 Patient information:

[0104] Diagnosis: Acute left heart failure (NYHA class IV);

[0105] Vital signs: Heart rate 120 beats / min (↑30%), blood pressure 80 / 50 mmHg (↓35%), oxygen saturation 88% (↓7%);

[0106] Medication requirement: Immediate intravenous injection of furosemide (40 mg, urgency level 1).

[0107] 1.2 Equipment matching:

[0108] Infusion pump A (model XYZ-2000): Basic power consumption P1 = 1.5 W, aging coefficient α1 = 0.001, cumulative operation time t1 = 800 h;

[0109] Drug parameter: Dynamic viscosity η of furosemide j = 0.003 Pa·s, infusion flow rate v = 100 mL / h, duration T = 1 h.

[0110] 1.3 Environmental parameters:

[0111] Ward temperature 28°C, standard temperature 25°C, ΔT = 3°C;

[0112] Temperature sensitivity coefficient δ of the infusion pump = 0.005 / °C.

[0113] 2. Power demand calculation;

[0114]

[0115] It can be obtained that E total is 12.755 Wh;

[0116] 2.1 Verification of available power:

[0117] Mains power is normally supplied, standby battery capacity is 2000 mAh (7.4 Wh @ 3.7 V), and the attenuation coefficient is 0.001 after 50 cycles;

[0118] Actual available battery capacity:

[0119] Eavailable = 7.4 Wh × (1 - 0.001 × 50) = 7.4 × 0.95 = 7.03 Wh

[0120] Judgment result: The total power of the mains electricity + battery is sufficient (12.755 Wh < mains electricity unlimited + 7.03 Wh), start treatment.

[0121] 3. Handling of emergencies (mains electricity interruption 15 minutes after infusion);

[0122] 3.1 Remaining treatment requirements:

[0123] Infusion time elapsed: 0.25 h, remaining time 0.75 h;

[0124] Remaining power requirements:

[0125] 12.755 Wh × 0.75 = 9.566 Wh;

[0126] 3.2 Environmental changes:

[0127] The air conditioner stopped working, causing the room temperature to rise to 32 °C (ΔT = 7 °C);

[0128] Base power consumption after temperature correction:

[0129] 2.7 W × (1 + 0.005 × 7) = 2.7 × 1.035 = 2.7945 W;

[0130] Recalculate the total demand:

[0131] E total = (2.7945 W + 10.015 W) × 0.75 h = 9.607 Wh;

[0132] 3.3 Power gap analysis:

[0133] The backup battery actually supports: 7.03 Wh (9.607 Wh required), gap 2.577 Wh;

[0134] Trigger a critical-level response (urgency level 1).

[0135] 4. Execute hierarchical response;

[0136] 4.1 Backup power scheduling:

[0137] 4.11 Activate backup battery power supply (7.03 Wh), and at the same time perform the following operations:

[0138] a. Send a distress signal to the mobile charging vehicle (current location: emergency department garage, remaining battery power 5000 mAh);

[0139] b. Path planning: The Dijkstra algorithm generates the optimal path (distance 120m, estimated arrival time 2 minutes);

[0140] c. After the charging vehicle is docked, the power is replenished: 2.577 Wh is required, which is converted to 696 mAh at a voltage of 3.7 V.

[0141] 4.2 Treatment guarantee measures:

[0142] 4.21 Mode degradation:

[0143] The infusion pump switches to the pulsed infusion mode (works for 30 seconds / pauses for 30 seconds), and the power consumption is reduced by 40% (original 10.015 W → 6.009 W);

[0144] 4.22 Total demand after correction: E total =(2.7945 W + 6.009 W) × 0.75 h = 6.603 Wh;

[0145] The gap is eliminated (7.03 Wh > 6.603 Wh), and the remaining power buffer is: 0.427 Wh.

[0146] 4.3 Medical staff collaboration:

[0147] The system pushes a warning to the nurse station: "Infusion pump A has switched to the pulsed mode, and the estimated remaining safe duration is 6 minutes";

[0148] The doctor views the real-time data through the AR glasses and confirms that there is no need to adjust the drug plan.

[0149] 5. Treatment completion and feedback;

[0150] The mobile charging vehicle arrives in 1 minute and 50 seconds, and the actual replenished power is 800 mAh (2.96 Wh), and the total available power is 7.03 + 2.96 = 9.99 Wh;

[0151] The final power consumption is 6.603 Wh, and the remaining is 3.387 Wh, and the treatment is successfully completed.

[0152] In summary, an emergency item information management method has the following effects:

[0153] By judging whether the total power demand exceeds the current available power resources, it can predict power shortage in advance, trigger a warning, and prevent the occurrence of power shortage. This reduces manual intervention in emergency situations, reduces the treatment interruption events caused by equipment power failure, and thus reduces the treatment risk of patients;

[0154] By incorporating the infusion parameters of drugs and the power supply status (power grid + energy storage) into a unified decision-making framework, the reliability of subsequent use after drug recommendation is improved. Through this comprehensive consideration, drugs and equipment can be better matched to ensure the continuity and effectiveness of treatment;

[0155] According to the urgency of treatment, the present invention implements a differentiated power supply guarantee strategy, balancing resource efficiency and medical safety. This strategy ensures the power supply for critical treatments while optimizing the use of resources;

[0156] In public health emergencies (such as large-scale power outages, disaster relief), the present invention ensures the uninterrupted critical treatment and reduces the group mortality rate by judging whether the total power demand exceeds the current available power resources. Through the double verification of the association rule base (confidence level ≥ 0.7) and the drug interaction database, as well as the environmental temperature correction term, the power demand prediction error rate is significantly reduced, further reducing the risk of treatment interruption due to insufficient power.

[0157] Embodiment 2

[0158] As Figure 2 shown, in the second embodiment of the present invention, an emergency item information management system is provided, and the system includes:

[0159] A recommendation module 10, configured to obtain medical data of a patient, generate a drug recommendation plan, and label an urgency level for the drug recommendation plan based on the treatment urgency;

[0160] An acquisition module 20, configured to match the medical equipment required to execute the drug recommendation plan and acquire the basic power consumption of the medical equipment;

[0161] A demand module 30, configured to calculate the total power demand of the medical equipment to execute the drug recommendation plan based on the infusion parameters in the drug recommendation plan by using a power consumption calculation formula;

[0162] An adjustment module 40, configured to judge whether the total power demand exceeds the current available power resources. If the total power demand exceeds the current available power resources, a dynamic adjustment operation is performed according to the urgency level, and an execution instruction is generated and output to an associated terminal.

[0163] The emergency item information management system provided by the embodiment of the present invention has the same implementation principle and technical effects as those of the foregoing method embodiment. For a brief description, for the parts not mentioned in the system embodiment, reference may be made to the corresponding content in the foregoing method embodiment.

[0164] Embodiment 3

[0165] As Figure 3As shown, in the third embodiment of the present invention, the present invention embodiment provides the following technical solution. A computer includes a memory 202, a processor 201, and a computer program stored on the memory 202 and executable on the processor 201. When the processor 201 executes the computer program, the first aid item information management method described above is implemented.

[0166] Specifically, the above-mentioned processor 201 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured as one or more integrated circuits implementing the embodiments of the present application.

[0167] Among them, the memory 202 may include a mass storage for data or instructions. By way of example and not limitation, the memory 202 may include a hard disk drive (HDD), a floppy disk drive, a solid state drive (SSD), a flash memory, an optical disc, a magneto-optical disc, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. In a suitable case, the memory 202 may include a removable or non-removable (or fixed) medium. In a suitable case, the memory 202 may be internal or external to the data processing device. In a particular embodiment, the memory 202 is a non-volatile memory. In a particular embodiment, the memory 202 includes a read-only memory (ROM) and a random access memory (RAM). In a suitable case, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically alterable ROM (EAROM), or a flash memory (FLASH), or a combination of two or more of these. In a suitable case, the RAM may be a static random access memory (SRAM) or a dynamic random access memory (DRAM), where the DRAM may be a fast page mode dynamic random access memory (FPMDRAM), an extended data output dynamic random access memory (EDODRAM), a synchronous dynamic random access memory (SDRAM), etc.

[0168] The memory 202 can be used to store or cache various data files required for processing and / or communication, as well as possible computer program instructions executed by the processor 201.

[0169] The processor 201 reads and executes the computer program instructions stored in the memory 202 to implement the above-mentioned first-aid item information management method.

[0170] In some of these embodiments, the computer may further include a communication interface 203 and a bus 200. Among them, as Figure 3 shown, the processor 201, the memory 202, and the communication interface 203 are connected through the bus 200 to complete communication with each other.

[0171] The communication interface 203 is used to implement communication between the various modules, devices, units, and / or devices in the embodiments of the present application. The communication interface 203 can also implement data communication with other components, such as external devices, image / data acquisition devices, databases, external storage, and image / data processing workstations, etc.

[0172] The bus 200 includes hardware, software, or both, and couples the components of a computer together. The bus 200 includes, but is not limited to, at least one of the following: Data Bus, Address Bus, Control Bus, Expansion Bus, Local Bus. By way of example and not limitation, the bus 200 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable bus or a combination of two or more of these. In suitable cases, the bus 200 may include one or more buses. Although the embodiments of the present application describe and illustrate specific buses, the present application contemplates any suitable bus or interconnect.

[0173] Embodiment Four

[0174] In the fourth embodiment of the present invention, in combination with the above first aid item information management method, the embodiments of the present invention provide the following technical solution: a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the above first aid item information management method is implemented.

[0175] Those skilled in the art will understand that the data in the flowchart and / or the logic and / or steps described in other ways herein, for example, can be regarded as a predefined sequence data table of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device.

[0176] More specific examples (nonexhaustive list) of the readable medium include the following: an electrical connection part (electronic device) having one or more wirings, a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other appropriate processing when necessary, and then stored in a computer memory.

[0177] 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 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, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0178] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the various technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope described in this specification.

[0179] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.

Claims

1. A method for managing first aid item information, characterized in that The method includes: Obtaining the medical data of the patient, generating a drug recommendation plan, and labeling an urgency level for the drug recommendation plan based on the treatment urgency; Matching the medical equipment required to execute the drug recommendation plan, and collecting the basic power consumption of the medical equipment; Using a power consumption calculation formula to calculate the total power demand of the medical equipment to execute the drug recommendation plan based on the infusion parameters in the drug recommendation plan; Judging whether the total power demand exceeds the current available power resources. If the total power demand exceeds the current available power resources, perform a dynamic adjustment operation according to the urgency level, generate and output an execution instruction to the associated terminal.

2. The first-aid item information management method according to claim 1, wherein, The steps of generating the drug recommendation plan include: Preprocessing the original medical record data, and extracting the text features of the preprocessed original medical record data; Using a classification tool to classify the text features to determine the disease category corresponding to the text features; Performing an association rule analysis on the original medical record data of the disease category using a combined process to generate a drug combination rule library; Matching the disease category according to the medical data of the current patient, and screening strong association rules with qualified confidence and lift from the drug combination rule library; Generating a recommended drug list based on the strong association rules, and assisting the doctor to determine the final drug recommendation through an interactive interface.

3. The first aid item information management method according to claim 2, wherein, The confidence calculation formula includes: The lift calculation formula includes: Wherein, Conf(X→Y) represents the confidence of the association rule X→Y, Supp(X∪Y) represents the support of the item set X∪Y, Supp(X) represents the support of the item set X, Lift(X→Y) represents the lift of the association rule X→Y, Supp(Y) represents the support of the item set Y, and X and Y respectively represent different drugs.

4. The first aid item information management method according to claim 1, wherein The dynamic adjustment operation includes: When the treatment urgency level is the first level, perform the following operations: Activating the backup battery power supply and calculating its remaining support duration; If the remaining support duration is insufficient, sending a distress signal including the geographical location and the required power to the mobile charging device group; Generating an optimal navigation path based on Dijkstra's algorithm and pushing it to the target device, and displaying the estimated arrival time and the power replenishment amount of the target device; When the treatment urgency level is the second level, perform the following operations: Matching low-power alternative drugs according to the drug equivalence database, and verifying the interaction between the alternative drugs and the patient's allergy history and drugs; If there are compliant alternative drugs, generating a replacement plan and recalculating the power demand; If there are no compliant alternative drugs, adjusting the infusion mode.

5. The first aid item information management method according to claim 4, wherein The low-power alternative drugs need to meet the following conditions: The alternative drug has the same therapeutic classification code as the original drug in the drug recommendation plan; Verifying the safety through the patient allergy history database and the drug interaction database; The power consumption of the medical equipment corresponding to the alternative drug is lower than that of the original drug.

6. The first aid item information management method according to claim 4, characterized in that The adjustment of the infusion mode includes: Reducing the infusion rate to 50%-80% of the standard rate and prolonging the total infusion duration.

7. The first aid item information management method according to claim 1, characterized in that The power consumption calculation formula includes: E total represents the total power demand, P i represents the basic power consumption of the i-th device, α i represents the aging correction factor of the i-th device, t i represents the cumulative usage duration of the i-th device, β and γ respectively represent the regression coefficients related to the device model, η j represents the viscosity of the j-th drug, v represents the infusion speed of the drug, T i represents the infusion duration of the i-th device, Δ+ represents the difference between the ambient temperature and the standard temperature, and δ represents the temperature sensitivity coefficient.

8. An emergency item information management system, characterized in that, The system includes: A recommendation module, configured to obtain medical data of a patient, generate a drug recommendation plan, and label an urgency level for the drug recommendation plan based on the treatment urgency; An acquisition module, configured to match medical devices required for implementing the drug recommendation plan and acquire the basic power consumption of the medical devices; A requirement module, configured to calculate the total power requirement of the medical devices for implementing the drug recommendation plan based on the infusion parameters in the drug recommendation plan by using a power consumption calculation formula; An adjustment module, configured to determine whether the total power requirement exceeds the currently available power resources. If the total power requirement exceeds the currently available power resources, perform a dynamic adjustment operation according to the urgency level, generate and output an execution instruction to an associated terminal.

9. A computer, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that When the processor executes the computer program, the first-aid item information management method according to any one of claims 1 to 7 is implemented.

10. A storage medium, characterized in that, A computer program is stored on the storage medium. When the computer program is executed by a processor, the first-aid item information management method according to any one of claims 1 to 7 is implemented.

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