Cancer nursing information service management system
By designing a cancer care information service management system, the problem of lack of comprehensive data analysis and query services in the existing technology has been solved, and detailed management and decision-making generation of cancer patients' information has been achieved, and the quality and efficiency of nursing care has been improved.
Patent Information
- Application Number
- CN202411256283.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-09
- Publication Date
- 2024-12-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The lack of comprehensive analysis of cancer patients in the prior art and the failure to provide comprehensive query services, resulting in a lack of thoughtful nursing services and affecting the trust of patients' relatives.
A cancer care information service management system was designed, including an information entry module, an information analysis module and a query module. By dividing the tested area into sub-regions and numbering, entering and analyzing patient information, mood intervention decisions and drug use decisions are generated. It also provides query functions and uses expert platform and mood database to perform data analysis.
It improves the scientificity and professionalism of data structure and nursing decisions, enhances the personalization and accuracy of treatment, improves the flexibility and efficiency of nursing quality and data management, and helps caregivers adjust and optimize nursing plans.
Smart Images
Figure CN119153048A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of office systems, and in particular to a cancer nursing information service management system. Background Art
[0002] In recent years, intelligent management technology has developed rapidly. Modern cancer care management systems usually integrate electronic health records, clinical decision support, patient monitoring and data analysis functions, enabling medical teams to access comprehensive patient information on a single platform, improving communication efficiency and care quality.
[0003] At present, a Chinese invention patent with publication number CN104219275B discloses a community SMS continuing care system for cancer patients. By editing SMS, the system can realize the assessment, intervention and evaluation of patients. The heterogeneous data conversion middleware realizes the connection between the continuing care database and the electronic medical record database of a third-party hospital, thereby improving the efficiency and quality of continuing care and the quality of life of patients. However, the relevant technology does not analyze the multi-faceted data of patients, lacks the comprehensiveness of the analysis, does not provide comprehensive query services, lacks the thoughtfulness of the service, and is not conducive to building trust with the patients' relatives. Summary of the invention
[0004] The technical problem solved by the present invention is that the related technology does not analyze the multi-faceted data of the patient, lacks the comprehensiveness of the analysis, does not provide comprehensive query services, lacks the thoughtfulness of the service, and is not conducive to building trust with the patient's relatives.
[0005] To solve the above technical problems, the present invention provides the following technical solutions: In a first aspect, a cancer care information service management system comprises an information entry module, an information analysis module and a query module; The information input module divides the area to be tested into sub-areas, numbers the sub-areas, and inputs and stores the corresponding patient information, corresponding nursing staff codes and corresponding nursing time in the numbered sub-areas; The information analysis module performs a first analysis on the patient information to obtain the patient's psychological information, generates a mood intervention decision based on the patient information, introduces an expert platform, performs a second analysis on the patient information to obtain the disease progression result, generates a drug use decision based on the disease progression result, and enters and stores the corresponding mood intervention decision, first analysis time, disease progression result, drug use decision, and second analysis time in the numbered sub-areas; The query module is used to query the information corresponding to the numbered sub-region or modify the information corresponding to the numbered sub-region.
[0006] As a preferred solution of a cancer care information service management system described in the present invention, the information entry module divides the area to be tested into sub-areas and numbers the sub-areas, wherein the numbers are natural numbers. The area to be tested includes a ward, a medicine collection area and a nursing table. The sub-areas are wards or medicine collection areas or nursing tables. An electronic fence is set at the medicine collection area. When a nursing staff enters the electronic fence area to take out the medicine, a medicine collection record is generated. The medicine collection record includes the medicine type, medicine dosage and medicine collection time, and the corresponding patient information, corresponding nursing staff code and corresponding nursing time in the numbered sub-areas are entered and stored.
[0007] As a preferred solution of the cancer care information service management system described in the present invention, the patient information includes the patient's name, patient's age, patient's gender, the type of treatment the patient received, the date corresponding to the type of treatment the patient received, the patient's weight, bilirubin content, drug use records and the patient's facial image.
[0008] As a preferred solution of the cancer care information service management system described in the present invention, wherein: the information analysis module sets the first time period as the first analysis period, obtains the patient's facial image, performs denoising and filtering on the patient's facial image to obtain a first facial image, extracts a feature value of the first facial image, calls a mood database to obtain a standard expression image, extracts a feature value of the standard expression image, calculates the similarity between the feature value of the first facial image and the feature value of the standard expression image, and the similarity is calculated by a cosine similarity formula; Traverse the similarities, select the similarity with the largest value, set the standard expression image corresponding to the similarity with the largest value as the reference image, and set the mood corresponding to the reference image as the patient's psychological information. The mood database includes standard expression images and corresponding moods. The patient's psychological information includes anxiety, depression, fear, sadness, calmness and happiness.
[0009] As a preferred solution of the cancer care information service management system described in the present invention, the information analysis module obtains the patient's psychological information, generates a mood intervention decision based on the patient information, and when the patient's psychological information is anxiety, depression, fear or sadness, the mood intervention decision is set to use music therapy, relaxation exercises, light exercise and listen to the patient's feelings.
[0010] As a preferred solution of the cancer care information service management system described in the present invention, the information analysis module introduces an expert platform to obtain the type of treatment received by the patient, the date corresponding to the type of treatment received by the patient, the patient's weight, bilirubin content, and drug use records, calculate the patient's weight difference, and calculate the change rate of the patient's weight difference based on the patient's weight difference.
[0011] As a preferred solution of a cancer care information service management system described in the present invention, when the change rate of the patient's weight difference is greater than a first change rate threshold, the disease progression result is set to a first level of disease progression, the bilirubin content difference is calculated, when the bilirubin content difference is greater than a first difference threshold, the disease progression result is set to a second level of disease progression, when the disease progression result is set to a first level of disease progression, the drug use decision is set to a first value for the drug dosage, when the disease progression result is set to a second level of disease progression, the drug use decision is set to a second value for the drug dosage, and the corresponding mood intervention decision, first analysis time, disease progression result, drug use decision, and second analysis time in the numbered sub-areas are entered and stored.
[0012] As a preferred solution of the cancer nursing information service management system described in the present invention, wherein: the query module calls the nursing database, the nursing database includes the corresponding mood intervention decision in the numbered sub-area, the first analysis time, the disease progression result, the drug use decision, the second analysis time, the patient's name, the patient's age, the patient's gender, the type of treatment received by the patient, the date corresponding to the type of treatment received by the patient, the patient's weight, the bilirubin content, the drug use record, the patient's facial image, the nursing staff code and the corresponding nursing time, and obtains the patient's birth year, patient's birth month and patient's birth day according to the patient's age; The query module inputs a patient code into the nursing database to obtain information corresponding to the numbered sub-area, wherein the patient code is composed of a random code and a feature code, wherein the random code is generated by an encoder, and the feature code is composed of the patient's birth date, the patient's birth month, the patient's birth date, and the patient's age; The query module inputs the nursing staff code into the nursing database to obtain the information corresponding to the numbered sub-area or modify the information corresponding to the numbered sub-area.
[0013] In a second aspect, the present invention provides an electronic device comprising a memory, a processor and storage in the memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in any one of the systems described above are executed.
[0014] In a third aspect, the present invention provides a storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps in the system described in any one of the above items are executed.
[0015] The beneficial effects of the present invention are as follows: by dividing the area to be tested into sub-areas and numbering them, the system provides a clear data structure, which is convenient for managing and retrieving patient information and nursing records, improves the structure of the data, and provides comprehensive nursing decisions through the first analysis and the second analysis in combination with the patient's psychological information and the progression of the disease, improves the personalization and accuracy of treatment, and the generation of mood intervention decisions and drug use decisions. The analysis based on the expert platform enhances the scientificity and professionalism of nursing decisions, records detailed nursing time, analysis time and decision information, helps track the nursing process and evaluate nursing effects, and the query module allows quick access and updating of numbered sub-area information, improves the flexibility and efficiency of data management, and through the system's comprehensive data and analysis, nursing staff can more effectively adjust and optimize personalized nursing plans and improve the overall quality of patient care. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 A basic flow chart of a cancer care information service management system provided by one embodiment of the present invention. DETAILED DESCRIPTION
[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.
[0018] Example 1, reference Figure 1 , as an embodiment of the present invention, provides a cancer care information service management system, including an information entry module, an information analysis module and a query module; The information input module divides the area to be tested into sub-areas, numbers the sub-areas, and inputs and stores the corresponding patient information, corresponding nursing staff codes and corresponding nursing time in the numbered sub-areas; The information analysis module performs a first analysis on the patient information to obtain the patient's psychological information, generates a mood intervention decision based on the patient information, introduces an expert platform, performs a second analysis on the patient information to obtain the disease progression result, generates a drug use decision based on the disease progression result, and enters and stores the corresponding mood intervention decision, first analysis time, disease progression result, drug use decision, and second analysis time in the numbered sub-areas; The query module is used to query the information corresponding to the numbered sub-region or modify the information corresponding to the numbered sub-region.
[0019] The present invention divides the area to be tested into sub-areas and numbers them. The system provides a clear data structure, which is convenient for managing and retrieving patient information and nursing records, improves the structure of the data, and provides comprehensive nursing decisions through the first analysis and the second analysis in combination with the patient's psychological information and the progression of the disease, improves the personalization and accuracy of treatment, and the generation of mood intervention decisions and drug use decisions. The analysis based on the expert platform enhances the scientificity and professionalism of nursing decisions, records detailed nursing time, analysis time and decision-making information, and helps track the nursing process and evaluate nursing effects. The query module allows quick access to and updating of numbered sub-area information, which improves the flexibility and efficiency of data management. Through the system's comprehensive data and analysis, nursing staff can more effectively adjust and optimize personalized nursing plans and improve the overall quality of patient care.
[0020] The information entry module divides the area to be tested into sub-areas and numbers the sub-areas, wherein the numbers are natural numbers. The area to be tested includes a ward, a medication dispensing area, and a nursing table. The sub-areas are wards, medication dispensing areas, or nursing tables. An electronic fence is set at the medication dispensing area. When a nursing staff enters the electronic fence area to take out medicine, a medication dispensing record is generated. The medication dispensing record includes the drug type, drug dosage, and medication dispensing time. The corresponding patient information, the corresponding nursing staff code, and the corresponding nursing time in the numbered sub-areas are entered and stored.
[0021] The patient information includes the patient's name, the patient's age, the patient's gender, the type of treatment the patient received, the date corresponding to the type of treatment the patient received, the patient's weight, the bilirubin content, the medication use record and the patient's facial image.
[0022] In specific implementation, by dividing the area to be tested into sub-areas and numbering them, the system provides a clear data structure, which facilitates the management and retrieval of patient information and nursing records, and improves the structure of the data.
[0023] The information analysis module sets the first time period as the first analysis period, obtains a patient's facial image, performs denoising and filtering on the patient's facial image to obtain a first facial image, extracts a feature quantity of the first facial image, calls a mood database, obtains a standard expression image, extracts a feature quantity of the standard expression image, and calculates the similarity between the feature quantity of the first facial image and the feature quantity of the standard expression image, wherein the similarity is calculated using a cosine similarity formula; Traverse the similarities, select the similarity with the largest value, set the standard expression image corresponding to the similarity with the largest value as the reference image, and set the mood corresponding to the reference image as the patient's psychological information. The mood database includes standard expression images and corresponding moods. The patient's psychological information includes anxiety, depression, fear, sadness, calmness and happiness.
[0024] In specific implementation, the patient's psychological information and disease progression are combined through the first and second analyses to provide comprehensive nursing decisions and improve the personalization and accuracy of treatment.
[0025] The information analysis module obtains the patient's psychological information and generates a mood intervention decision based on the patient information. When the patient's psychological information is anxiety, depression, fear or sadness, the mood intervention decision is set to use music therapy, relaxation exercises, light exercise and listen to the patient's feelings.
[0026] The information analysis module introduces an expert platform to obtain the type of treatment received by the patient, the date corresponding to the type of treatment received by the patient, the patient's weight, bilirubin content, and drug use records, calculate the patient's weight difference, and calculate the change rate of the patient's weight difference based on the patient's weight difference.
[0027] When the rate of change of the patient's weight difference is greater than a first change rate threshold, the disease progression result is set to a first level of disease worsening, and the difference in bilirubin content is calculated; when the difference in bilirubin content is greater than a first difference threshold, the disease progression result is set to a second level of disease worsening; when the disease progression result is set to a first level of disease worsening, the drug use decision is set to a first value for the drug dosage; when the disease progression result is set to a second level of disease worsening, the drug use decision is set to a second value for the drug dosage; the corresponding mood intervention decision, first analysis time, disease progression result, drug use decision, and second analysis time in the numbered sub-areas are entered and stored.
[0028] In specific implementation, the generation of mood intervention decisions and drug use decisions relies on the analysis of the expert platform, which enhances the scientificity and professionalism of nursing decisions.
[0029] The query module calls a nursing database, which includes the corresponding mood intervention decision in the numbered sub-area, the first analysis time, the disease progression result, the drug use decision, the second analysis time, the patient's name, the patient's age, the patient's gender, the type of treatment the patient received, the date corresponding to the type of treatment the patient received, the patient's weight, the bilirubin content, the drug use record, the patient's facial image, the nursing staff code and the corresponding nursing time, and obtains the patient's birth year, patient's birth month and patient's birth day according to the patient's age; The query module inputs a patient code into the nursing database to obtain information corresponding to the numbered sub-area, wherein the patient code is composed of a random code and a feature code, wherein the random code is generated by an encoder, and the feature code is composed of the patient's birth date, the patient's birth month, the patient's birth date, and the patient's age; The query module inputs the nursing staff code into the nursing database to obtain the information corresponding to the numbered sub-area or modify the information corresponding to the numbered sub-area.
[0030] The beneficial effects of the present invention are as follows: by dividing the area to be tested into sub-areas and numbering them, the system provides a clear data structure, which is convenient for managing and retrieving patient information and nursing records, improves the structure of the data, and provides comprehensive nursing decisions through the first analysis and the second analysis in combination with the patient's psychological information and the progression of the disease, improves the personalization and accuracy of treatment, and the generation of mood intervention decisions and drug use decisions. The analysis based on the expert platform enhances the scientificity and professionalism of nursing decisions, records detailed nursing time, analysis time and decision information, helps track the nursing process and evaluate nursing effects, and the query module allows quick access and updating of numbered sub-area information, improves the flexibility and efficiency of data management, and through the system's comprehensive data and analysis, nursing staff can more effectively adjust and optimize personalized nursing plans and improve the overall quality of patient care.
[0031] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0032] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.
Claims
1. A cancer care information service management system, characterized in that: It includes information input module, information analysis module and query module; The information input module divides the area to be tested into sub-areas, numbers the sub-areas, and inputs and stores the corresponding patient information, corresponding nursing staff codes and corresponding nursing time in the numbered sub-areas; The information analysis module performs a first analysis on the patient information to obtain the patient's psychological information, generates a mood intervention decision based on the patient information, introduces an expert platform, performs a second analysis on the patient information to obtain the disease progression result, generates a drug use decision based on the disease progression result, and enters and stores the corresponding mood intervention decision, first analysis time, disease progression result, drug use decision, and second analysis time in the numbered sub-areas; The query module is used to query the information corresponding to the numbered sub-region or modify the information corresponding to the numbered sub-region.
2. A cancer care information service management system as claimed in claim 1, characterized in that: The information entry module divides the area to be tested into sub-areas and numbers the sub-areas, wherein the numbers are natural numbers. The area to be tested includes a ward, a medication dispensing area, and a nursing table. The sub-areas are wards, medication dispensing areas, or nursing tables. An electronic fence is set at the medication dispensing area. When a nursing staff enters the electronic fence area to take out medicine, a medication dispensing record is generated. The medication dispensing record includes the drug type, drug dosage, and medication dispensing time. The corresponding patient information, the corresponding nursing staff code, and the corresponding nursing time in the numbered sub-areas are entered and stored.
3. A cancer care information service management system as claimed in claim 2, characterized in that: The patient information includes the patient's name, the patient's age, the patient's gender, the type of treatment the patient received, the date corresponding to the type of treatment the patient received, the patient's weight, the bilirubin content, the medication use record and the patient's facial image.
4. A cancer care information service management system as claimed in claim 1, characterized in that: The information analysis module sets the first time period as the first analysis period, obtains a patient's facial image, performs denoising and filtering on the patient's facial image to obtain a first facial image, extracts a feature quantity of the first facial image, calls a mood database, obtains a standard expression image, extracts a feature quantity of the standard expression image, and calculates the similarity between the feature quantity of the first facial image and the feature quantity of the standard expression image, wherein the similarity is calculated using a cosine similarity formula; Traverse the similarities, select the similarity with the largest value, set the standard expression image corresponding to the similarity with the largest value as the reference image, and set the mood corresponding to the reference image as the patient's psychological information. The mood database includes standard expression images and corresponding moods. The patient's psychological information includes anxiety, depression, fear, sadness, calmness and happiness.
5. A cancer care information service management system as claimed in claim 4, characterized in that: The information analysis module obtains the patient's psychological information and generates a mood intervention decision based on the patient information. When the patient's psychological information is anxiety, depression, fear or sadness, the mood intervention decision is set to use music therapy, relaxation exercises, light exercise and listen to the patient's feelings.
6. A cancer care information service management system as claimed in claim 1, characterized in that: The information analysis module introduces an expert platform to obtain the type of treatment received by the patient, the date corresponding to the type of treatment received by the patient, the patient's weight, bilirubin content, and drug use records, calculate the patient's weight difference, and calculate the change rate of the patient's weight difference based on the patient's weight difference.
7. A cancer care information service management system as claimed in claim 6, characterized in that: When the rate of change of the patient's weight difference is greater than a first change rate threshold, the disease progression result is set to a first level of disease worsening, and the difference in bilirubin content is calculated; when the difference in bilirubin content is greater than a first difference threshold, the disease progression result is set to a second level of disease worsening; when the disease progression result is set to a first level of disease worsening, the drug use decision is set to a first value for the drug dosage; when the disease progression result is set to a second level of disease worsening, the drug use decision is set to a second value for the drug dosage; the corresponding mood intervention decision, first analysis time, disease progression result, drug use decision, and second analysis time in the numbered sub-areas are entered and stored.
8. The cancer care information service management system according to claim 1, characterized in that: The query module calls a nursing database, which includes the corresponding mood intervention decision in the numbered sub-area, the first analysis time, the disease progression result, the drug use decision, the second analysis time, the patient's name, the patient's age, the patient's gender, the type of treatment the patient received, the date corresponding to the type of treatment the patient received, the patient's weight, the bilirubin content, the drug use record, the patient's facial image, the nursing staff code and the corresponding nursing time, and obtains the patient's birth year, patient's birth month and patient's birth day according to the patient's age; The query module inputs a patient code into the nursing database to obtain information corresponding to the numbered sub-area, wherein the patient code is composed of a random code and a feature code, wherein the random code is generated by an encoder, and the feature code is composed of the patient's birth date, the patient's birth month, the patient's birth date, and the patient's age; The query module inputs the nursing staff code into the nursing database to obtain the information corresponding to the numbered sub-area or modify the information corresponding to the numbered sub-area.
9. 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 cancer care information service management system according to any one of claims 1 to 8 is implemented.
10. 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 cancer care information service management system according to any one of claims 1 to 8 is implemented.