Nursing record generation method, device and equipment and readable storage medium

Abstract

The invention discloses a nursing record generation method and device, equipment and a readable storage medium, and relates to the technical field of big data. Comprising the steps of collecting nursing-related data of a target patient; the nursing related data comprises vital sign data and input data of the target patient, image data of the target patient and detection report data of the target patient; preprocessing the nursing related data to obtain standard nursing data; the preprocessing comprises data cleaning, format unification processing, data division processing, feature selection processing, data enhancement processing, normalization processing, feature coding processing, abnormal value detection processing, standardization processing and data dimension reduction processing; and based on the data type of the standard nursing data, storing the standard nursing data in a table of a database to obtain a nursing record of the target patient. According to the method, the efficiency of nursing record generation is improved.

Description

Technical Field

[0001] The present invention relates to the field of big data technology, and in particular to a method, apparatus, device and readable storage medium for generating nursing records. Background Art

[0002] Nursing records are real, objective, and continuous dynamic records made by nursing staff on changes in patients' conditions, implementation of nursing measures, and nursing effects. Therefore, high-quality nursing records can effectively record patients' real-time conditions and are of great help for subsequent treatment and rehabilitation.

[0003] Existing nursing records are usually generated by nursing staff who regularly observe and understand the patient's condition and manually record the real-time situation into a computer. However, the above solution is only an ideal situation. The actual situation is that nursing staff are usually unable to complete the generation of nursing records in time due to their busy work. The generation of nursing records consumes a lot of energy, which makes it impossible for nursing staff to concentrate on completing nursing work, reduces the quality of nursing, and may even cause dissatisfaction among patients. Therefore, there is an urgent need for a method for generating nursing records that can solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to provide a method, device, equipment and readable storage medium for generating nursing records. It only needs to collect nursing-related data of the target patient, and the nursing record of the target patient can be automatically generated based on the collected nursing-related records. There is no need for nursing staff to write manually, which significantly reduces the workload of nursing staff and avoids the distraction of nursing staff due to writing nursing records, thereby improving the quality of nursing. The nursing records are generated based on a series of pre-processed standard nursing data, so that the nursing records finally generated are more accurate and standard, that is, the quality of nursing records is improved.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] In a first aspect, the present invention provides a method for generating a nursing record, the method comprising:

[0007] Collecting nursing-related data of a target patient; the nursing-related data includes vital sign data, input data, image data, and test report data of the target patient;

[0008] Preprocessing the nursing-related data to obtain standard nursing data; the preprocessing includes data cleaning, format unification, data partitioning, feature selection, data enhancement, normalization, feature encoding, outlier detection, standardization, and data dimensionality reduction;

[0009] Based on the data type of the standard nursing data, the standard nursing data is stored in a table of a database to obtain the nursing record of the target patient.

[0010] In some embodiments, collecting care-related data of a target patient includes:

[0011] Acquiring vital sign data of the target patient based on medical instruments;

[0012] Obtaining input data uploaded by a nursing staff; the input data includes the target patient's medical advice, nursing instructions, medication status, and medical conditions;

[0013] Acquiring image data of the target patient based on an imaging system;

[0014] The test report data of the target patient is obtained based on the detection system.

[0015] In some embodiments, obtaining input data uploaded by a caregiver includes:

[0016] Get the initial data uploaded by the caregiver;

[0017] The initial data is supplemented with content to obtain the input data.

[0018] In some embodiments, the method further comprises:

[0019] Obtain records retrieval instructions from nursing staff;

[0020] Based on the record retrieval instruction of the nursing staff, the nursing record of the target patient is retrieved.

[0021] In some embodiments, retrieving the nursing records of the target patient based on the record retrieval instruction of the nursing staff includes:

[0022] Parsing the record retrieval instruction to obtain attribute information of the target patient contained in the record retrieval instruction;

[0023] Based on the attribute information, the nursing records of the target patient are searched and retrieved.

[0024] In some embodiments, the method further comprises:

[0025] Identify problems and correct errors in the nursing records of the target patients.

[0026] In a second aspect, the present invention further provides a device for generating a nursing record, the device comprising:

[0027] A data acquisition module is used to collect nursing-related data of a target patient; the nursing-related data includes vital signs data, input data, image data and test report data of the target patient;

[0028] A data processing module is used to preprocess the nursing-related data to obtain standard nursing data; the preprocessing includes data cleaning, format unification, data partitioning, feature selection, data enhancement, normalization, feature encoding, outlier detection, standardization, and data dimensionality reduction;

[0029] A record generation module is used to store the standard nursing data in a table of a database based on the data type of the standard nursing data to obtain the nursing record of the target patient.

[0030] In a third aspect, the present invention further provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for generating nursing records provided in the first aspect is implemented.

[0031] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for generating a nursing record provided in the first aspect.

[0032] In a fifth aspect, the present invention further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the method for generating a nursing record provided in the first aspect.

[0033] The beneficial effects of the present invention are:

[0034] The method for generating a nursing record of the present invention first collects nursing-related data of a target patient; the nursing-related data includes vital sign data, input data, image data, and test report data of the target patient; then preprocesses the nursing-related data to obtain standard nursing data; the preprocessing includes data cleaning, format unification, data partitioning, feature selection, data enhancement, normalization, feature encoding, outlier detection, standardization, and data dimensionality reduction; finally, based on the data type of the standard nursing data, the standard nursing data is stored in a table in a database to obtain a nursing record of the target patient. By only collecting the nursing-related data of the target patient, the nursing record of the target patient can be automatically generated based on the collected nursing-related records, without the need for manual writing by the nursing staff, significantly reducing the workload of the nursing staff, avoiding the distraction of the nursing staff due to writing nursing records, and thereby improving the quality of nursing care. Moreover, the nursing record is generated based on a series of preprocessed standard nursing data, making the final generated nursing record more accurate and standard, that is, improving the quality of the nursing record.

[0035] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a flow chart of a method for generating a nursing record according to an embodiment of the present invention;

[0037] Figure 2 This is a flow chart of a method for retrieving nursing records according to one embodiment of the present invention;

[0038] Figure 3 This is a flow chart of another method for generating nursing records according to an embodiment of the present invention;

[0039] Figure 4 This is a schematic structural diagram of a device for generating nursing records according to an embodiment of the present invention;

[0040] Figure 5 This is a schematic structural diagram of another apparatus for generating nursing records according to an embodiment of the present invention;

[0041] Figure 6 This is a structural diagram of another apparatus for generating nursing records according to an embodiment of the present invention;

[0042] Figure 7 A schematic diagram of the structure of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0043] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all 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.

[0044] It should be noted that references to "one embodiment," "an embodiment," "an example embodiment," etc., in this specification indicate that the described embodiment may include specific features, structures, or characteristics. However, not every embodiment must include these specific features, structures, or characteristics. In addition, such references do not necessarily refer to the same embodiment. Furthermore, when specific features, structures, or characteristics are described in conjunction with an embodiment, whether or not explicitly described, it is indicated that it is within the knowledge of those skilled in the art to incorporate such features, structures, or characteristics into other embodiments.

[0045] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0046] In some embodiments, as Figure 1 As shown, a method for generating a nursing record is provided, and the specific method includes:

[0047] S101, collecting nursing-related data of target patients.

[0048] The nursing-related data include the vital sign data, input data, image data and test report data of the target patient. The target patient may be one patient or multiple patients.

[0049] Optionally, the method for collecting nursing-related data of the target patient may be to obtain the vital signs data of the target patient based on medical instruments; obtain input data uploaded by nursing staff; the input data includes the medical orders, nursing orders, medication conditions and medical conditions of the target patient; obtain the image data of the target patient based on an imaging system; obtain the test report data of the target patient based on a detection system.

[0050] For example, medical instruments are used to collect vital signs data of the target patient, such as heart rate, pulse, pulse oxygen, blood pressure, respiration, CVP, CI, CO, ventilator parameters, hemodialysis machine parameters and other physiological and objective data; after obtaining the target patient's medical orders, nursing orders, medication treatment, and related nursing activities, treatment measures, infusion conditions, changes in condition, etc. during hospitalization, the nursing staff inputs them through the keyboard, and then the input data uploaded by the nursing staff can be obtained; the target patient's CT, MRI, X-ray, B-ultrasound and other images and reports can also be collected through relevant imaging systems as the target patient's image data; the target patient's blood gas, electrolyte, coagulation, biochemistry and other results during hospitalization can also be collected through the detection system as the target patient's detection report data.

[0051] S102, preprocessing the nursing-related data to obtain standard nursing data; the preprocessing includes data cleaning, format unification processing, data partitioning processing, feature selection processing, data enhancement processing, normalization processing, feature encoding processing, outlier detection processing, standardization processing, and data dimensionality reduction processing.

[0052] It should be noted that the generation of nursing records can be achieved by relying on a nursing record generation model.

[0053] Specifically, data cleaning includes: deleting duplicate, erroneous or irrelevant data, supplementing missing values ​​and deleting outliers; format unification processing includes converting nursing-related data into a unified format, such as converting text data into numerical data and encoding categorical variables, such as one-hot encoding, label encoding, etc.; data partitioning processing includes dividing nursing-related data into training sets, validation sets and test sets for model training, tuning and evaluation; feature selection processing includes selecting the features that have the greatest impact on the target variable from the original features of nursing-related data to improve the generalization ability of the model; data enhancement processing includes increasing nursing data by transforming it, such as rotation, translation, scaling, etc. The diversity of relevant data sets improves the robustness of the model; normalization processing includes scaling the characteristic values ​​of nursing-related data to the same scale for subsequent calculation and analysis; feature encoding processing includes converting the categorical features of nursing-related data into numerical features, such as one-hot encoding, label encoding, etc.; outlier detection processing includes detecting outliers in nursing-related data sets and processing them as needed; data standardization processing includes scaling nursing-related data to a specific distribution range, such as between 0 and 1, for subsequent data analysis; data dimensionality reduction processing includes reducing the dimension of nursing-related data through methods such as feature selection or feature extraction to reduce the amount of calculation and storage space.

[0054] Optionally, the method for obtaining the input data uploaded by the nursing staff may also be to obtain the initial data uploaded by the nursing staff; and supplement the content of the initial data to obtain the input data.

[0055] For example, in some busy scenarios, when uploading data, the nursing staff may only upload some simplified data, such as only entering "intubation, 24cm". At this time, the initial data can be supplemented with content based on historical data of the same type, for example, it can be supplemented with "Assist the doctor to perform emergency bedside intubation, built-in 24cm, connected to the ventilator for assisted ventilation, mode parameters as shown above, and properly fixed." That is, input data. The above process can also be implemented based on the input data generation model. The nursing staff only needs to enter keywords, and the input data generation model can output the corresponding input data, which greatly saves the nursing staff's time.

[0056] S103: Based on the data type of the standard nursing data, the standard nursing data is stored in a table of a database to obtain the nursing record of the target patient.

[0057] Specifically, different cells in the database table correspond to different data types. For example, the first column needs to record time, the second column needs to record events, the third column needs to record results, and the fourth column needs to record the name of the target patient. According to these data types, the standard nursing data is filled in the database table to obtain the nursing record of the target patient.

[0058] The method for generating a nursing record in the above embodiment first collects nursing-related data of a target patient; the nursing-related data includes vital sign data, input data, image data, and test report data of the target patient; then preprocesses the nursing-related data to obtain standard nursing data; the preprocessing includes data cleaning, format unification, data partitioning, feature selection, data enhancement, normalization, feature encoding, outlier detection, standardization, and data dimensionality reduction; finally, based on the data type of the standard nursing data, the standard nursing data is stored in a table in a database to obtain a nursing record for the target patient. By only collecting the nursing-related data of the target patient, the nursing record of the target patient can be automatically generated based on the collected nursing-related records, without the need for manual writing by the nursing staff, significantly reducing the workload of the nursing staff and avoiding the distraction of the nursing staff due to writing nursing records, thereby improving the quality of nursing care. Moreover, the nursing record is generated based on a series of preprocessed standard nursing data, making the final generated nursing record more accurate and standardized, that is, improving the quality of the nursing record.

[0059] In another embodiment, Figure 2As shown, a process for using the nursing record after the nursing record is generated is also provided, and the specific method includes:

[0060] S201, obtaining the record retrieval instruction of the nursing staff.

[0061] Specifically, the nurse can upload a record retrieval instruction through voice input or text input. The record retrieval instruction can be to retrieve the nursing records of the target patient. For example, the record retrieval instruction can be "How is the intake and output of the patient in bed 15 in the past three days?"

[0062] S203: Retrieve the nursing records of the target patient based on the record retrieval instruction of the nursing staff.

[0063] Specifically, keywords can be extracted from the record retrieval instruction, and the keywords can be used to directly search for the nursing records of the target patient in the computer storage system.

[0064] Optionally, the record retrieval instruction may be parsed to obtain attribute information of the target patient contained in the record retrieval instruction; and based on the attribute information, the nursing record of the target patient may be searched and retrieved.

[0065] The attribute information of the target patient may be the name of the target patient.

[0066] Specifically, the target patient's name can be used as a keyword to directly search the target patient's nursing records.

[0067] Optionally, this process can also be implemented based on the nursing record retrieval model. For example, when the record retrieval instruction is "How is the intake and output of the patient in bed 15 in the past three days?", the nursing record retrieval model will search for the corresponding data based on the keywords and output "On March 2, the patient's intake was 1000ml, output was 1200ml, urine volume was 700ml / C, bowel movement was 300ml, gastrointestinal decompression was 200ml, and there was no drainage. On March 3, the patient's intake was 980ml, output was 1400ml, urine volume was 1000ml, and bowel movement was 400m l, gastrointestinal decompression 0ml, no drainage volume. On March 4, the patient's intake was 1200ml, output was 1100ml, urine output was 1000ml, gastrointestinal decompression was 100ml, no bowel movements, and no drainage volume. "; When the record retrieval instruction is "Summarize the relevant content of the cardiac system of bed 15 patient after admission", the nursing record retrieval model will search for the corresponding data based on the keywords and output "Bed 15 patient's heart rate fluctuated between 66-132 beats / min after admission on February 10, 2 / 10 chest pain set results: ..., February 12 electrocardiogram Figure 1times, report content:......, one echocardiogram on February 15, report content:........, chest pain set results on February 16:....., cardiology consultation opinion on February 17:......, echocardiogram on February 18:........." Or when the record retrieval instruction is "Summarize the nursing focus of bed 15 today", the nursing record retrieval model will search for the corresponding data based on the keywords and output "1. The patient's potassium ion level was 3.2mmol / L yesterday. The doctor ordered 30ml of potassium citrate oral solution for a temporary dose, and no electrolytes were retested. Today, we need to pay attention to the patient's potassium ion level and be alert to hypokalemic complications such as muscle weakness and arrhythmia. 2. The patient has not had a bowel movement for three days. Yesterday, the doctor ordered two suppositories and 150ml of warm water for an enema. He still did not have a bowel movement after the enema. Today, we need to continue to pay attention to the patient's bowel movement and abdominal signs. 3. The patient had a high fever with an ear temperature of 38.4°C at 6:00 PM yesterday. The doctor ordered four temporary physical cooling sessions with ice packs. The patient's ear temperature was 37.9°C at 10:00 PM, and the temperature at night was between 37.5-37.8°C. The patient's temperature needs to be monitored continuously today. If it exceeds 39°C, medication should be considered for cooling. A cooling bed can be used for physical cooling. 4. The patient has a 3cm*4cm second-stage pressure ulcer on the coccyx. The doctor ordered high-intensity phototherapy (BID). After daily high-intensity phototherapy, the patient is cleaned with saline and then covered with silver ion + silicone for protection. The wound is assessed daily and the dressing is changed promptly. Assist with regular turning to avoid prolonged pressure on local tissues. Generally, turning every two hours is a more appropriate frequency. Pay attention to the patient's diet and ensure protein intake. Keep the skin clean and dry: scrub the patient's body to keep it clean and dry to prevent infection. Keep the bed unit clean and tidy to reduce friction on the skin.

[0068] The method in the above embodiment first obtains the record retrieval instruction of the nursing staff; then, based on the record retrieval instruction of the nursing staff, retrieves the nursing record of the target patient, thereby realizing that the nursing record of the target patient can be retrieved by only inputting the instruction, which greatly increases the convenience and efficiency of the nursing staff in obtaining the nursing record of the target patient.

[0069] In another embodiment, the nursing records of the target patient can also be used to identify problems and correct errors. Since the automatically generated nursing records of the target patient may have defects, such as incorrect record location and omissions, these problems need to be identified and corrected. This process can be completed based on a nursing record correction model. The nursing record correction model will learn a large number of standardized nursing records. The nursing records of the target patient that can be directly generated can be input into the nursing record correction model. The nursing record correction model can then output the corrected nursing records, further ensuring the accuracy of the nursing records.

[0070] In order to more comprehensively demonstrate this solution, this embodiment provides an optional method for generating a nursing record, such as Figure 3As shown:

[0071] S301: Obtain vital sign data of the target patient based on a medical instrument.

[0072] S302: Obtain the initial data uploaded by the nursing staff.

[0073] S303: Supplement the content of the initial data to obtain the input data.

[0074] The input data includes the target patient's medical advice, nursing instructions, medication status and medical conditions.

[0075] S304: Acquire image data of the target patient based on an imaging system.

[0076] S305: Obtain the test report data of the target patient based on the test system.

[0077] S306: Preprocess the nursing-related data to obtain standard nursing data.

[0078] Among them, the preprocessing includes data cleaning, format unification processing, data partitioning processing, feature selection processing, data enhancement processing, normalization processing, feature encoding processing, outlier detection processing, standardization processing, and data dimensionality reduction processing.

[0079] S307 , based on the data type of the standard nursing data, storing the standard nursing data in a table of a database to obtain the nursing record of the target patient.

[0080] S308: Identify problems and perform error correction on the nursing records of the target patient.

[0081] S309, obtaining the record retrieval instruction of the nursing staff.

[0082] S310: Parse the record retrieval instruction to obtain attribute information of the target patient contained in the record retrieval instruction.

[0083] S311, based on the attribute information, searching and retrieving the nursing records of the target patient.

[0084] The specific process of S301-S311 can be found in the description of the above method embodiment. The implementation principle and technical effects are similar and will not be repeated here.

[0085] Based on the same inventive concept, the embodiments of the present application also provide a device for generating nursing records for implementing the aforementioned method for generating nursing records. The implementation solution provided by the device is similar to the implementation solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the device for generating nursing records provided below can be found in the limitations of the method for generating nursing records above and will not be repeated here.

[0086] In one embodiment, Figure 4 As shown, a device for generating a nursing record is provided, the device comprising:

[0087] The data acquisition module 40 is used to collect nursing-related data of the target patient; the nursing-related data includes the vital signs data, input data, image data and test report data of the target patient;

[0088] A data processing module 41 is used to pre-process the nursing-related data to obtain standard nursing data; the pre-processing includes data cleaning, format unification, data partitioning, feature selection, data enhancement, normalization, feature encoding, outlier detection, standardization, and data dimensionality reduction;

[0089] The record generating module 42 is configured to store the standard nursing data into a table in a database based on the data type of the standard nursing data, and obtain the nursing record of the target patient.

[0090] In another embodiment, Figure 5 As shown above Figure 4 The data acquisition module 40 includes:

[0091] A first acquisition unit 400 acquires vital sign data of the target patient based on a medical instrument;

[0092] The second collection unit 401 obtains input data uploaded by the nursing staff; the input data includes the doctor's orders, nursing orders, medication status and medical conditions of the target patient;

[0093] The third acquisition unit 402 acquires image data of the target patient based on the imaging system;

[0094] The fourth collecting unit 403 obtains the test report data of the target patient based on the detection system.

[0095] In another embodiment, the above Figure 5 The second acquisition unit 401 is specifically used to: obtain the initial data uploaded by the nursing staff; and supplement the content of the initial data to obtain the input data.

[0096] In another embodiment, Figure 6 As shown above Figure 4 The generating device of the nursing record further includes:

[0097] A record error correction module 43 is used to identify problems and correct errors in the nursing records of the target patient;

[0098] The instruction acquisition module 44 is used to obtain the record retrieval instruction of the nursing staff;

[0099] The record retrieval module 45 is used to retrieve the nursing records of the target patient based on the record retrieval instruction of the nursing staff.

[0100] In another embodiment, the above Figure 6 The record retrieval module 45 is specifically used to: parse the record retrieval instruction to obtain the attribute information of the target patient contained in the record retrieval instruction; and search and retrieve the nursing record of the target patient based on the attribute information.

[0101] The present application also provides an electronic device, in some embodiments, referring to Figure 7 As shown, electronic device 700 includes an input unit 710, a memory 720, a processor 730, and an output unit 740. Memory 720 stores program instructions that can be executed by processor 730. Processor 730 calls the program instructions to execute the method and / or technical solution for generating nursing records based on the aforementioned embodiments. Electronic device 700 can be a mobile terminal device such as a mobile phone or a computer.

[0102] In addition, an embodiment of the present application further provides a computer-readable storage medium for storing a computer program for executing a method for generating a nursing record. For example, computer program instructions, when executed by a computer, can call or provide the method and / or technical solution according to the present application through the operation of the computer. The program instructions for calling the method of the present application may be stored in a fixed or removable storage medium, and / or transmitted via a data stream in a broadcast or other signal-carrying medium and / or stored in a storage medium that operates according to the program instructions.

[0103] Obviously, those skilled in the art should understand that the modules or steps of the present application described above can be implemented using a general-purpose computing device. They can be concentrated on a single computing device or distributed across a network consisting of multiple computing devices. Alternatively, they can be implemented using program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be fabricated into separate integrated circuit modules, or multiple modules or steps can be fabricated into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0104] The various technical features of the above embodiments can be arbitrarily integrated. To make the description concise, not all possible integrations of the various technical features in the above embodiments are described. However, as long as there is no contradiction in the integration of these technical features, they should be considered to be within the scope of this specification.

[0105] The above embodiments merely illustrate several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art would be able to make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the patent for this invention shall be determined by the appended claims.

Claims

1. A method for generating a nursing record, characterized in that: The method comprises: Collecting nursing-related data of a target patient; the nursing-related data includes vital sign data, input data, image data, and test report data of the target patient; Preprocessing the nursing-related data to obtain standard nursing data; the preprocessing includes data cleaning, format unification, data partitioning, feature selection, data enhancement, normalization, feature encoding, outlier detection, standardization, and data dimensionality reduction; Based on the data type of the standard nursing data, the standard nursing data is stored in a table of a database to obtain the nursing record of the target patient.

2. The method for generating a nursing record according to claim 1, wherein: Collect data related to the care of target patients, including: Acquiring vital sign data of the target patient based on medical instruments; Obtaining input data uploaded by a nursing staff; the input data includes the target patient's medical advice, nursing instructions, medication status, and medical conditions; Acquiring image data of the target patient based on an imaging system; The test report data of the target patient is obtained based on the detection system.

3. The method for generating a nursing record according to claim 2, wherein: Get input data uploaded by caregivers, including: Get the initial data uploaded by the caregiver; The initial data is supplemented with content to obtain the input data.

4. The method for generating a nursing record according to claim 1, wherein: The method further comprises: Obtain records retrieval instructions from nursing staff; Based on the record retrieval instruction of the nursing staff, the nursing record of the target patient is retrieved.

5. The method for generating a nursing record according to claim 4, wherein: Retrieving the nursing records of the target patient based on the record retrieval instruction of the nursing staff includes: Parsing the record retrieval instruction to obtain attribute information of the target patient contained in the record retrieval instruction; Based on the attribute information, the nursing records of the target patient are searched and retrieved.

6. The method for generating a nursing record according to any one of claims 1 to 5, wherein: The method further comprises: Identify problems and correct errors in the nursing records of the target patients.

7. A device for generating nursing records, characterized in that: The device comprises: A data acquisition module is used to collect nursing-related data of a target patient; the nursing-related data includes vital signs data, input data, image data and test report data of the target patient; A data processing module is used to preprocess the nursing-related data to obtain standard nursing data; the preprocessing includes data cleaning, format unification, data partitioning, feature selection, data enhancement, normalization, feature encoding, outlier detection, standardization, and data dimensionality reduction; A record generation module is used to store the standard nursing data in a table of a database based on the data type of the standard nursing data to obtain the nursing record of the target patient.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for generating a nursing record according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for generating a nursing record according to any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for generating a nursing record according to any one of claims 1 to 6 is implemented.

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