Personalized medical project customization system and method based on intelligent recommendation

Abstract

The invention discloses a personalized medical project customization system and method based on intelligent recommendation, and relates to the technical field of hospital management. The system comprises a processing module, a front-end module, a rear-end module, an intelligent recommendation module and a database, the front-end module, the rear-end module, the intelligent recommendation module and the database are all connected with the processing module; the front-end module is used for inputting information and displaying a result by a user; the back-end module is used for processing a user request, querying a database and returning a result; the intelligent recommendation module is used for storing historical disease diagnosis and treatment information of the customer; the database is used for generating a personalized physical examination and treatment scheme based on the historical data of the customer and the medical project dictionary database; and the processing module is used for processing and controlling system data. According to the system, front-end VUE3 and TypeScript and back-end Spring Cloud and MySQL technologies are adopted, the system is divided into a physical examination 1 + X module and a treatment 1 + X module, physical examination record query and abnormal index analysis are supported, and doctors are assisted in formulating personalized medical packages for clients.

Description

Technical Field

[0001] The present invention relates to the technical field of hospital management, and in particular to a personalized medical project customization system and method based on intelligent recommendation. Background Art

[0002] With the continuous development of medical technology and the widespread application of big data, personalized medicine is gradually becoming an important trend in the medical field. In this process, intelligent medicine plays a vital role. The traditional medical model often adopts a "one-size-fits-all" approach and fails to fully consider the individual differences of patients. Personalized medicine, on the other hand, is to develop personalized treatment plans based on the unique characteristics of each patient, such as genes, physiological conditions, lifestyle, etc. This model can improve the treatment effect, reduce side effects, and improve the quality of life of patients. Big data plays an important role in personalized medicine. By collecting and analyzing a large amount of medical data, including patient medical records, clinical examination results, gene sequencing data, etc., doctors can understand the patient's condition more accurately and provide a basis for formulating personalized treatment plans. The development of intelligent medical technology provides strong support for personalized medicine. Artificial intelligence can collect and analyze various medical data to provide support for medical decision-making. For example, through advanced data mining and analysis algorithms, AI systems can discover hidden patterns and associations from massive amounts of medical data, providing doctors with valuable insights and decision-making support. At the same time, artificial intelligence can also dynamically track changes in patients' conditions through remote monitoring and data analysis, and adjust plans in a timely manner. The role of physical examination: Physical examination is part of health management, which can prevent diseases, save expenses, etc. It can detect and treat potential diseases early, provide personalized health management plans, and enhance health awareness.

[0003] Current physical examination status and existing problems: Physical examination packages are all the same, which can easily miss early lesions. Some people refuse or ignore important physical examination items, and many people do not pay attention to abnormal physical examination results. Everyone's physical condition is different, and it is obviously unscientific to use the same physical examination package. Therefore, it is necessary to customize scientific and personalized physical examination items according to each person's physical condition, so that customers can trust the examination plan, be more targeted, pay more attention to the examination results, and pay attention to physical health.

[0004] Existing physical examination and treatment programs lack personalization and scientificity, and it is difficult to provide scientific diagnosis and treatment plans based on the customer's historical disease diagnosis and treatment information, resulting in low customer conversion rates. Traditional systems are unable to intelligently recommend and customize personalized plans, and doctors need to spend a lot of time and energy to customize plans for customers.

[0005] Therefore, it is an urgent problem for technicians in this field to propose a personalized medical project customization based on intelligent recommendation to solve the difficulties existing in the existing technology. Summary of the invention

[0006] In view of this, the present invention provides a personalized medical project customization system and method based on intelligent recommendation, which adopts front-end VUE3 and TypeScript and back-end Spring Cloud and MySQL technology, is divided into two modules: "Physical Examination 1+X" and "Treatment 1+X", supports physical examination record query and abnormal indicator analysis, and assists doctors in formulating personalized medical packages for customers.

[0007] In order to achieve the above object, the present invention adopts the following technical solution:

[0008] A personalized medical project customization system based on intelligent recommendation, comprising: a processing module, a front-end module, a back-end module, an intelligent recommendation module and a database;

[0009] The front-end module, the back-end module, the intelligent recommendation module and the database are all connected to the processing module;

[0010] Front-end module, used for user input and display results;

[0011] The backend module is used to process user requests, query the database and return results;

[0012] Intelligent recommendation module, used to store customers’ historical disease diagnosis and treatment information;

[0013] Database, used to generate personalized physical examination and treatment plans based on the customer's historical data and medical project dictionary;

[0014] The processing module is used for system data processing and control.

[0015] In the above system, optionally, the processing module includes a medical item dictionary library, and the medical item dictionary library is used to store a variety of physical examination items and treatment items.

[0016] In the above system, the front-end module optionally includes: a physical examination record query module and a recent two abnormal index query module;

[0017] Physical examination record query module, used to query customer historical physical examination report information;

[0018] The two most recent abnormal index query modules are used to query customer abnormal indexes.

[0019] The above system, optionally, uses VUE3 and TypeScript technology for the front-end module.

[0020] For the above system, the front-end module optionally adopts the Spring Cloud architecture.

[0021] In the above system, optionally, the database adopts MySQL database.

[0022] In the above system, optionally, the backend module includes a Redis cache and an MQ message queue processing module;

[0023] Redis is used for caching and MQ is used for message queue processing.

[0024] In the above system, the intelligent recommendation module can optionally generate a physical examination 1+X customized form and a treatment 1+X customized form based on the customer's previous physical examination reports.

[0025] A personalized medical project customization method based on intelligent recommendation, applied to any of the above-mentioned personalized medical project customization systems based on intelligent recommendation, comprises the following steps:

[0026] S1. The customer enters the customer information in the physical examination record query module and initiates a request. The front-end module sends the request to the back-end module. The back-end module queries the physical examination records in the MySQL database and returns the results. The front-end module displays the query results.

[0027] S2. The customer enters the customer information in the recent two abnormal index query module and submits a request. The front-end module sends the request to the back-end module. The back-end module queries the corresponding report data in the database and returns the result. The front-end module displays the report data.

[0028] S3. The customized physical examination 1+X module in the intelligent recommendation module generates a personalized physical examination item customization order based on the abnormal values ​​of the customer's previous physical examination reports. The customer confirms and pays the order online;

[0029] S4. The customized treatment 1+X module in the intelligent recommendation module customizes the treatment plan according to the customer's medical data, generates a customized treatment order, and matches it with the customer's medical data and recommendation rules.

[0030] It can be seen from the above technical solutions that, compared with the prior art, the present invention provides a personalized medical project customization system and method based on intelligent recommendation, which has the following beneficial effects:

[0031] By establishing a medical project dictionary, the system combines the customer's historical disease diagnosis and treatment information to achieve intelligent solution recommendations. The system uses front-end VUE3 and TypeScript and back-end Spring Cloud and MySQL technologies, and is divided into two modules: "Physical Examination 1+X" and "Treatment 1+X". It supports physical examination record query and abnormal indicator analysis, and assists doctors in formulating personalized medical packages for customers; it effectively improves the efficiency and accuracy of medical services and has significant application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0033] Figure 1 A block diagram of a personalized medical project customization system based on intelligent recommendation disclosed in the present invention;

[0034] Figure 2 A flowchart of a method for customizing personalized medical projects based on intelligent recommendation disclosed in the present invention;

[0035] Figure 3 This is the flow chart of the 1+X project disclosed in the present invention;

[0036] Figure 4 This is a flow chart of the physical examination 1+X project disclosed in the present invention;

[0037] Figure 5 The user operation interface disclosed in the present invention;

[0038] Figure 6 Customized interface for the physical examination 1+X disclosed in the present invention;

[0039] Figure 7 Customized interface for Treatment 1+X disclosed in the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] In this application, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprise one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0042] See also Figure 1 As shown, the present invention discloses a personalized medical project customization system based on intelligent recommendation, including: a processing module, a front-end module, a back-end module, an intelligent recommendation module and a database;

[0043] The front-end module, the back-end module, the intelligent recommendation module and the database are all connected to the processing module;

[0044] Front-end module, used for user input and display results;

[0045] The backend module is used to process user requests, query the database and return results;

[0046] Intelligent recommendation module, used to store customers’ historical disease diagnosis and treatment information;

[0047] Database, used to generate personalized physical examination and treatment plans based on the customer's historical data and medical project dictionary;

[0048] The processing module is used for system data processing and control.

[0049] Furthermore, the processing module includes a medical item dictionary library, and the medical item dictionary library is used to store a variety of physical examination items and treatment items.

[0050] Furthermore, the front-end module includes: a physical examination record query module and a recent two abnormal index query module;

[0051] Physical examination record query module, used to query customer historical physical examination report information;

[0052] The two most recent abnormal index query modules are used to query customer abnormal indexes.

[0053] Furthermore, the front-end module uses VUE3 and TypeScript technology, the front-end module uses Spring Cloud architecture, and the database uses MySQL database. The back-end module includes Redis cache and MQ message queue processing modules; Redis is used for caching, and MQ is used for message queue processing.

[0054] Furthermore, the intelligent recommendation module generates a 1+X customized physical examination order and a 1+X customized treatment order based on the customer's previous physical examination reports. Figure 3 and Figure 4 The following table shows the specific project process. Figure 6 One of the customized interfaces for Physical Examination 1+X. Figure 7 One of the customized interfaces for treatment 1+X.

[0055] The present invention also discloses a personalized medical project customization method based on intelligent recommendation, which is applied to any of the above-mentioned personalized medical project customization systems based on intelligent recommendation, referring to Figure 2 As shown, the following steps are included:

[0056] S1. The customer enters the customer information in the physical examination record query module and initiates a request (see Figure 5 The front-end module sends the request to the back-end module, the back-end module queries the physical examination records in the MySQL database and returns the results, and the front-end module displays the query results;

[0057] S2. The customer enters the customer information in the recent two abnormal index query module and submits a request. The front-end module sends the request to the back-end module. The back-end module queries the corresponding report data in the database and returns the result. The front-end module displays the report data.

[0058] S3. The customized physical examination 1+X module in the intelligent recommendation module generates a personalized physical examination item customization order based on the abnormal values ​​of the customer's previous physical examination reports. The customer confirms and pays the order online;

[0059] S4. The customized treatment 1+X module in the intelligent recommendation module customizes the treatment plan according to the customer's medical data, generates a customized treatment order, and matches it with the customer's medical data and recommendation rules.

[0060] In a specific embodiment,

[0061] Operation path: Log in to the medical cloud - physical examination center - examine and treat customers.

[0062] Introduction: Used to display the physical examination customer list data in the integrated appointment, as well as the corresponding functional operations, and enter the customizable 1+X project.

[0063] List: You can view the list data of customers who have made appointments. The list supports searching by basic customer information, responsible doctor, appointment date, medical assistant, etc.

[0064] <Physical Examination 1+X Project Customization>

[0065] Diagnosis and treatment information: 1+X customization

[0066] Display the abnormal items in the customer's last two physical examinations and suggest additional items for the abnormal items. The items in the scheduled package can be deleted.

[0067] If you make a mistake in operation, you can reset and restore the deleted items in the package. After confirming that the added items are correct, a project confirmation form will be generated, and you can view the historical project confirmation forms.

[0068] [Physician] Generate item confirmation form: After confirming the addition of items, the physician clicks "Generate item order", and a confirmation form with "unconfirmed" status is generated in the item order list;

[0069] [Doctor / Butler / Account Manager] View / Edit Project Confirmation Form: Click Edit / View to enter the Project Confirmation Form details page.

[0070] <Confirmed by the housekeeper / account manager>

[0071] [Butler / Account Manager] After confirming the contents of the project list, click "Confirm Signature";

[0072] [Butler / Account Manager] confirms and signs and pushes it to the customer.

[0073] <Customer confirmation>

[0074] [Butler / Account Manager] Confirm and sign the project confirmation form: After confirming the payment method and execution date with the customer, perform "confirmation and signature" and push it to the client (smart butler);

[0075]

Guide customer operation

[0076] 1) Customers enter the Super 100 Customization details page from My / Super 100 Customization, see Figure 5 As shown;

[0077] 2) Check the corresponding project confirmation form, confirm the amount and related project content, click "Confirm Project", check the amount confirmation, verify the SMS and submit, and complete the confirmation action. At the same time, the physical examination center changes the confirmation status.

[0078] <Generate additional order>

[0079] After the customer confirms, the doctor will generate an additional order, and the process will be completed after the customer arrives at the hospital for a physical examination.

[0080] The system and method provided by the present invention overcome the problems existing in the prior art and achieve the following technical effects compared with the prior art:

[0081] 1. Personalized and accurate recommendations

[0082] Existing technologies usually provide more general physical examination packages that cannot meet the special needs of different individuals. The intelligent recommendation system analyzes multi-dimensional information such as personal health data, family medical history, lifestyle, etc. to tailor physical examination items for each person, thereby improving the pertinence and accuracy of physical examinations. For example, for people with a family history of diabetes, it is recommended to add glycated hemoglobin and other test items; for long-term smokers, special examinations such as low-dose spiral CT of the lungs are recommended.

[0083] It can make accurate recommendations based on individual age, gender, occupation and other factors. For example, for people who engage in high-intensity physical labor, relevant examinations of the musculoskeletal system may be recommended; for middle-aged women, in-depth examinations of breast and gynecology may be recommended.

[0084] 2. Improving disease detection rate

[0085] Traditional physical examinations may miss some potential disease risks, but intelligent recommendation systems can predict potential disease risks and recommend corresponding examination items based on big data analysis and machine learning algorithms. By learning from a large amount of case data, the system can identify high-risk groups and recommend more comprehensive physical examination items for them, thereby increasing the early detection rate of diseases.

[0086] For example, the system can determine whether further examination of certain specific diseases is needed based on a person's physical examination data and symptoms. If a person has recently experienced unexplained weight loss and fatigue, the system may recommend thyroid function, tumor markers and other tests to rule out the possibility of thyroid disease and tumors.

[0087] 3. Save time and cost

[0088] In the existing physical examination process, people often need to spend a lot of time researching and choosing physical examination items that are suitable for them, and may waste money due to improper choices. The intelligent recommendation system can quickly generate personalized physical examination plans for users, saving users' time and energy.

[0089] At the same time, because the recommended items are more accurate, unnecessary examinations are avoided, thus reducing the cost of physical examinations. In addition, the system can also provide different levels of physical examination additional items according to the user's budget and needs to meet the economic affordability of different users.

[0090] 4. Continuous Health Management

[0091] The intelligent recommendation system can not only provide additional suggestions during the physical examination, but also provide users with continuous health management services after the physical examination. The system can formulate a personalized health management plan based on the user's physical examination results, including dietary recommendations, exercise plans, regular review reminders, etc.

[0092] For example, for users with high blood pressure, the system can recommend a low-salt diet, moderate exercise, and regularly remind users to measure their blood pressure and undergo related examinations. Through continuous health management, it helps users better control their diseases and improve their quality of life.

[0093] 5. Improve user experience

[0094] The existing physical examination mode is often monotonous and passive, and users lack a sense of participation. The intelligent recommendation system allows users to participate more actively in the physical examination process through an intelligent interactive interface. Users can check their health data and physical examination suggestions at any time, communicate with doctors online, and understand the significance and role of physical examination items.

[0095] In addition, the system can also provide interpretation and analysis services for physical examination reports to help users better understand their health status. This personalized service model can improve user satisfaction and trust and promote the sustainable development of the physical examination industry.

[0096] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0097] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A personalized medical project customization system based on intelligent recommendation, characterized in that: include: Processing module, front-end module, back-end module, intelligent recommendation module and database; The front-end module, the back-end module, the intelligent recommendation module and the database are all connected to the processing module; Front-end module, used for user input and display results; The backend module is used to process user requests, query the database and return results; Intelligent recommendation module, used to store customers’ historical disease diagnosis and treatment information; Database, used to generate personalized physical examination and treatment plans based on the customer's historical data and medical project dictionary; The processing module is used for system data processing and control.

2. According to claim 1, a personalized medical project customization system based on intelligent recommendation is characterized in that: The processing module includes a medical item dictionary library, which is used to store various physical examination items and treatment items.

3. According to claim 2, a personalized medical project customization system based on intelligent recommendation is characterized in that: The front-end modules include: physical examination record query module and the two most recent abnormal index query modules; Physical examination record query module, used to query customer historical physical examination report information; The two most recent abnormal index query modules are used to query customer abnormal indexes.

4. A personalized medical project customization system based on intelligent recommendation according to claim 3, characterized in that: The front-end module uses VUE3 and TypeScript technology.

5. According to claim 3, a personalized medical project customization system based on intelligent recommendation is characterized in that: The front-end module adopts Spring Cloud architecture.

6. The personalized medical project customization system based on intelligent recommendation according to claim 3 is characterized in that: The database uses MySQL database.

7. The personalized medical project customization system based on intelligent recommendation according to claim 1, characterized in that: The backend modules include Redis cache and MQ message queue processing modules; Redis is used for caching and MQ is used for message queue processing.

8. The personalized medical project customization system based on intelligent recommendation according to claim 3, characterized in that: The intelligent recommendation module generates physical examination 1+X customized orders and treatment 1+X customized orders based on the customer’s previous physical examination reports.

9. A method for customizing personalized medical projects based on intelligent recommendation, characterized in that: A personalized medical project customization system based on intelligent recommendation applied to any one of claims 1 to 8, characterized in that it comprises the following steps: S1. The customer enters the customer information in the physical examination record query module and initiates a request. The front-end module sends the request to the back-end module. The back-end module queries the physical examination records in the MySQL database and returns the results. The front-end module displays the query results. S2. The customer enters the customer information in the recent two abnormal index query module and submits a request. The front-end module sends the request to the back-end module. The back-end module queries the corresponding report data in the database and returns the result. The front-end module displays the report data. S3. The customized physical examination 1+X module in the intelligent recommendation module generates a personalized physical examination item customization order based on the abnormal values ​​of the customer's previous physical examination reports. The customer confirms and pays the order online; S4. The customized treatment 1+X module in the intelligent recommendation module customizes the treatment plan according to the customer's medical data, generates a customized treatment order, and matches it with the customer's medical data and recommendation rules.

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