Intelligent internet bed reservation system, method and device, processor and computer readable storage medium thereof

Abstract

The invention relates to an intelligent internet bed reservation system, which comprises a diagnosis and treatment group intelligent management module for receiving disease characteristic data of a patient, generating a diagnosis and treatment group distribution scheme and outputting an operation schedule table to a dynamic scheduling engine; the dynamic scheduling engine module is used for generating time window prediction according to the operation scheduling table and starting a grading notification process; the notification and interaction module is used for generating patient customized notification content, feeding back a confirmation state to the patient management module and updating the hospitalization preparation progress; and the patient full-period management module is used for generating an electronic hospitalization certificate and optimizing a period prediction algorithm. According to the system, method and device for reserving the bed through the intelligent internet, the processor and the computer readable storage medium, the working efficiency of medical staff is improved, the patient receiving and treating plan is flexibly adjusted, and time is saved. The queuing condition can be checked at any time, and the patient can conveniently and reasonably arrange personal affairs.

Description

Technical Field

[0001] The present invention relates to the field of medical informatization technology, and particularly to the field of inpatient reservation systems. Specifically, it refers to a system, method, device, processor, and computer-readable storage medium for intelligent Internet-based bed reservation. Background Art

[0002] In the prior art, after a doctor issues an inpatient certificate to a patient, it is manually copied onto a medical record book for information registration. When it is the patient's turn in the queue, the patient is then notified by phone to be admitted to the hospital. Only then can the patient know the admission date and what to bring. Such a process is very inconvenient. To speed up the inpatient process, a hospital needs a network system platform where patients can directly view and follow their own inpatient information.

[0003] Traditional inpatient reservation systems adopt a passive bed monitoring mode, arranging patient admissions only based on the current availability of empty beds, without considering the coordination between surgical schedules and inpatient arrangements, resulting in insufficient preoperative preparation time or idle beds. Moreover, the manual registration and phone notification methods are inefficient and have a high error rate, and chronic patients need to repeatedly go to the hospital for registration. Summary of the Invention

[0004] The object of the present invention is to overcome the above-mentioned disadvantages of the prior art and provide a system, method, device, processor, and computer-readable storage medium for intelligent Internet-based bed reservation that meets the requirements of high efficiency, simple operation, and a relatively wide range of applications.

[0005] To achieve the above object, the system, method, device, processor, and computer-readable storage medium for intelligent Internet-based bed reservation of the present invention are as follows:

[0006] The intelligent Internet-based bed reservation system, its main feature is that the system includes:

[0007] A diagnosis and treatment group intelligent management module, which is used to receive the disease characteristic data of patients, generate a diagnosis and treatment group allocation plan, and output a surgical schedule to the dynamic scheduling engine;

[0008] A dynamic scheduling engine module, which is connected to the diagnosis and treatment group intelligent management module, and is used to generate a time window prediction according to the surgical schedule, send a trigger instruction to the notification and interaction module, and start the hierarchical notification process;

[0009] A notification and interaction module, which is connected to the dynamic scheduling engine module, and is used to generate customized notification content for patients, feedback the confirmation status to the patient management module, and update the inpatient preparation progress;

[0010] The patient full-cycle management module is connected to the intelligent management module of the diagnosis and treatment group, and is used to receive the disease data of the diagnosis and treatment group module, generate an electronic hospitalization certificate, output treatment data to the data management and analysis module, and optimize the cycle prediction algorithm;

[0011] The data management and analysis module is connected to the dynamic scheduling engine module and the dynamic scheduling engine module, and is used to receive operation logs, generate analysis reports, and feedback optimization parameters to the scheduling engine.

[0012] Preferably, the intelligent management module of the diagnosis and treatment group includes:

[0013] The multi-level architecture management unit is connected to the dynamic scheduling engine module, and is used to establish a four-level mapping relationship among diseases, departments, diagnosis and treatment groups, and doctors, and establish a two-way association relationship between doctors and diagnosis and treatment groups;

[0014] The surgical scheduling management unit is connected to the dynamic scheduling engine module, and is used to generate a recommended surgical scheduling plan, automatically identify conflicts in doctors' surgical schedules, and support drag-and-drop scheduling of surgical schedules in a visual interface;

[0015] The resource allocation monitoring unit is connected to the dynamic scheduling engine module, and is used to record the diagnosis and treatment group and disease types to which each bed belongs, and display the occupancy rate of beds in each diagnosis and treatment group and the length of the waiting queue.

[0016] Preferably, the dynamic scheduling engine module includes:

[0017] The time window prediction unit is connected to the intelligent management module of the diagnosis and treatment group and the data management and analysis module, and is used to set different inspection day templates according to disease types, and back-calculate the hospitalization time based on the surgical date;

[0018] The priority calculation unit is connected to the intelligent management module of the diagnosis and treatment group and the data management and analysis module, and is used to sort according to multiple factors such as the severity of the illness, the waiting time, and the age;

[0019] The bed resource monitoring unit is connected to the intelligent management module of the diagnosis and treatment group, the notification and interaction module, and the data management and analysis module, and is used to lock in advance the beds that are about to be released, and trigger an alarm when the beds are abnormally occupied.

[0020] Preferably, the notification and interaction module includes:

[0021] The multi-channel distribution unit is connected to the dynamic scheduling engine module, and is used to notify patients of hospitalization information via text messages or social software;

[0022] The two-way confirmation unit is connected to the dynamic scheduling engine module, and is used to manage the confirmation information of patients. If the patient fails to confirm within the time limit, the patient will be automatically downgraded to a candidate;

[0023] The hospitalization information reply unit is connected to the dynamic scheduling engine module and is used to automatically perform surgery according to the patient's disease and needs and notify the patient of preoperative precautions.

[0024] Preferably, the patient full cycle management module includes:

[0025] An electronic hospitalization certificate generating unit, connected to the diagnosis and treatment group intelligent management module, is used to issue an electronic hospitalization certificate with a doctor's electronic signature online;

[0026] The chronic disease cycle prediction unit is connected to the diagnosis and treatment group intelligent management module and is used to automatically calculate the follow-up visit time of chronic disease patients and extract and push follow-up visit reminders.

[0027] Preferably, the data management and analysis module includes:

[0028] The resource utilization analysis unit is connected to the dynamic scheduling engine module and the patient full-cycle management module, and is used to calculate the average occupancy time of beds in each diagnosis and treatment group and to count the vacancy loss of beds;

[0029] The service quality monitoring unit is connected to the dynamic scheduling engine module and the patient full-cycle management module, and is used to count the notification confirmation time in real time and automatically adjust the buffer period parameters according to the prediction error.

[0030] Preferably, the system further comprises a visualization interface module, wherein the visualization interface module is connected to the notification and interaction module and the data management and analysis module respectively, and the visualization interface module comprises:

[0031] The doctor's work end is used to display the surgery schedule, bed occupancy and doctor's duty table, and recommend the surgery schedule plan based on the surgery volume forecast;

[0032] The patient side is used to dynamically display the hospitalization time and hospitalization information.

[0033] The method for realizing intelligent Internet bed reservation based on the system of claim 1 is characterized in that the method comprises the following steps:

[0034] (1) Generate patient surgery information and bed reservation information;

[0035] (2) Intelligent matching of diagnosis and treatment groups;

[0036] (3) Dynamic calculation and prediction of hospital stay;

[0037] (4) Automatically notify patients of hospitalization information and preoperative precautions, and notify patients in the waiting queue;

[0038] (5) The patient confirms and makes preparations for hospitalization;

[0039] (6) Conduct admission verification, record the actual hospitalization time and the surgical implementation situation, automatically mark the parameters of the treatment group that need to be calibrated, and synchronize the discharge information.

[0040] Preferably, the step (2) specifically includes the following steps:

[0041] (2.1) Identify the disease type;

[0042] (2.2) Allocate the treatment group, and preferentially allocate it to the group with available slots in the current surgical schedule;

[0043] (2.3) Associate the surgical time;

[0044] Preferably, the step (3) specifically includes the following steps:

[0045] (3.1) Calculate the time window;

[0046] (3.2) Continuously scan the bed status of the target treatment group in real time. If a matching bed is detected, enter the notification process; otherwise, enter the waiting queue and mark the order.

[0047] The device for intelligent Internet-based bed reservation is mainly characterized in that the device includes:

[0048] A processor configured to execute computer-executable instructions;

[0049] A memory storing one or more computer-executable instructions, and when the computer-executable instructions are executed by the processor, each step of the above-mentioned method for intelligent Internet-based bed reservation is implemented.

[0050] The processor of the device for intelligent Internet-based bed reservation is mainly characterized in that the processor is configured to execute computer-executable instructions, and when the computer-executable instructions are executed by the processor, each step of the above-mentioned method for intelligent Internet-based bed reservation is implemented.

[0051] The computer-readable storage medium is mainly characterized in that a computer program is stored thereon, and the computer program can be executed by a processor to implement each step of the above-mentioned method for intelligent Internet-based bed reservation.

[0052] The system, method, device, processor and computer-readable storage medium for intelligent Internet bed reservation of the present invention are adopted, which improve the work efficiency of medical staff, reduce cumbersome work such as manual copying of information, and doctors can quickly input and manage patient hospitalization information through the system, flexibly adjust the patient admission plan according to their own arrangements, and greatly save time. It improves the patient's medical experience. Patients can independently reserve the hospitalization time, check the queuing situation at any time, know the hospitalization precautions in advance and can confirm them. For regular inpatients, they can also quickly reserve beds online, avoiding repeated inquiries to medical staff during the waiting process and facilitating patients to reasonably arrange personal affairs. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of the modules of the intelligent Internet bed reservation system of the present invention.

[0054] Figure 2 It is a flowchart of the method for intelligent Internet bed reservation of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0055] In order to more clearly describe the technical content of the present invention, the following will be further described in combination with specific embodiments.

[0056] The intelligent Internet bed reservation system of the present invention includes:

[0057] The intelligent management module of the diagnosis and treatment group is used to receive the disease characteristic data of patients, generate a diagnosis and treatment group allocation plan, and output an operation schedule to the dynamic scheduling engine;

[0058] The dynamic scheduling engine module is connected to the intelligent management module of the diagnosis and treatment group, and is used to generate a time window prediction according to the operation schedule, send a trigger instruction to the notification and interaction module, and start the hierarchical notification process;

[0059] The notification and interaction module is connected to the dynamic scheduling engine module, and is used to generate patient-customized notification content, feedback the confirmation status to the patient management module, and update the hospitalization preparation progress;

[0060] The patient full-cycle management module is connected to the intelligent management module of the diagnosis and treatment group, and is used to receive the disease data of the diagnosis and treatment group module, generate an electronic hospitalization certificate, output treatment data to the data management and analysis module, and optimize the cycle prediction algorithm;

[0061] The data management and analysis module is connected to the dynamic scheduling engine module and the dynamic scheduling engine module, and is used to receive operation logs, generate analysis reports, and feedback optimization parameters to the scheduling engine.

[0062] As a preferred embodiment of the present invention, the intelligent management module of the diagnosis and treatment group includes:

[0063] A multi - level architecture management unit, connected to the dynamic scheduling engine module, is used to establish a four - level mapping relationship among disease types, departments, treatment groups, and doctors, and establish a two - way association relationship between doctors and treatment groups;

[0064] An operation scheduling management unit, connected to the dynamic scheduling engine module, is used to generate a recommended operation scheduling plan, automatically identify conflicts in doctors' operation schedules, and support drag - and - drop operation schedule arrangement in a visual interface;

[0065] A resource allocation monitoring unit, connected to the dynamic scheduling engine module, is used to record the treatment group and disease type to which each bed belongs, and display the bed occupancy rate and the length of the waiting queue of each treatment group.

[0066] As a preferred embodiment of the present invention, the dynamic scheduling engine module includes:

[0067] A time - window prediction unit, connected to the treatment group intelligent management module and the data management and analysis module, is used to set different inspection - day templates according to disease types and back - calculate the hospitalization time based on the operation day;

[0068] A priority calculation unit, connected to the treatment group intelligent management module and the data management and analysis module, is used to sort based on multiple factors such as the severity of the illness, waiting duration, and age;

[0069] A bed resource monitoring unit, connected to the treatment group intelligent management module, the notification and interaction module, and the data management and analysis module, is used to lock in advance the beds that are about to be released and trigger an alarm when the beds are abnormally occupied.

[0070] As a preferred embodiment of the present invention, the notification and interaction module includes:

[0071] A multi - channel distribution unit, connected to the dynamic scheduling engine module, is used to notify patients of hospitalization information via text messages or social software;

[0072] A two - way confirmation unit, connected to the dynamic scheduling engine module, is used to manage the confirmation information of patients. If a patient fails to confirm within the time limit, the patient will automatically be downgraded to a candidate;

[0073] A hospitalization information reply unit, connected to the dynamic scheduling engine module, is used to automatically notify patients of preoperative precautions according to the patient's disease and the need for surgery.

[0074] As a preferred embodiment of the present invention, the patient full - cycle management module includes:

[0075] An electronic hospitalization certificate generation unit, connected to the treatment group intelligent management module, is used to issue an electronic hospitalization certificate with a doctor - side electronic signature online;

[0076] A chronic disease cycle prediction unit, connected to the intelligent management module of the diagnosis and treatment group, is used to automatically calculate the follow-up time of chronic disease patients and extract and push follow-up reminders.

[0077] As a preferred embodiment of the present invention, the data management and analysis module includes:

[0078] A resource utilization rate analysis unit, connected to the dynamic scheduling engine module and the patient full-cycle management module, is used to calculate the average occupancy duration of beds in each diagnosis and treatment group and count the bed vacancy loss situation;

[0079] A service quality monitoring unit, connected to the dynamic scheduling engine module and the patient full-cycle management module, is used to count the notification confirmation timeliness in real time and automatically adjust the buffer period parameters according to the prediction error.

[0080] As a preferred embodiment of the present invention, the system further includes a visualization interface module. The visualization interface module is respectively connected to the notification and interaction module and the data management and analysis module. The visualization interface module includes:

[0081] A doctor work terminal, used to display the surgical schedule, bed occupancy, and doctor duty schedule, and recommend a surgical scheduling plan according to the predicted surgical volume;

[0082] A patient terminal, used to dynamically display the hospitalization time and hospitalization information.

[0083] The method for realizing intelligent Internet reservation of beds in the present invention, wherein the method includes the following steps:

[0084] (1) Generate the surgical information and bed reservation information of the patient;

[0085] (2) Intelligently match the diagnosis and treatment group;

[0086] (3) Dynamically calculate the predicted hospitalization time;

[0087] (4) Automatically notify the patient of the hospitalization information and preoperative precautions, and notify the patients in the waiting list;

[0088] (5) The patient confirms and makes preparations for admission;

[0089] (6) Conduct admission verification, record the actual hospitalization time and surgical execution situation, automatically mark the diagnosis and treatment group parameters that need to be calibrated, and synchronize the discharge information.

[0090] As a preferred embodiment of the present invention, the step (2) specifically includes the following steps:

[0091] (2.1) Identify the disease type;

[0092] (2.2) Assign the diagnosis and treatment group, and give priority to assigning it to the group with available slots in the current surgical schedule;

[0093] (2.3) Associate the surgical time;

[0094] As a preferred embodiment of the present invention, step (3) specifically includes the following steps:

[0095] (3.1) Calculate the time window;

[0096] (3.2) Continuously scan the bed status of the target diagnosis and treatment group in real time. If a matching bed is detected, enter the notification process; otherwise, enter the waiting queue and mark the order.

[0097] For the intelligent Internet reservation bed device of the present invention, the device includes:

[0098] A processor configured to execute computer-executable instructions;

[0099] A memory storing one or more computer-executable instructions, and when the computer-executable instructions are executed by the processor, each step of the above-mentioned intelligent Internet reservation bed method is implemented.

[0100] For the processor of the intelligent Internet reservation bed of the present invention, the processor is configured to execute computer-executable instructions, and when the computer-executable instructions are executed by the processor, each step of the above-mentioned intelligent Internet reservation bed method is implemented.

[0101] For the computer-readable storage medium of the present invention, a computer program is stored thereon, and the computer program can be executed by a processor to implement each step of the above-mentioned intelligent Internet reservation bed method.

[0102] In the specific embodiments of the present invention,

[0103] When the doctor completes the clinical diagnosis of the patient and determines that the patient meets the hospitalization criteria, a hospitalization certificate will be issued. If the patient's condition is critical and falls within the scope of emergency admission, the doctor will immediately issue an emergency admission notice and arrange for the patient to be admitted to the hospital for emergency treatment; if the patient suffers from a chronic disease with a relatively slow progression and no immediate medical needs, the patient needs to enter the bed reservation process. After the doctor completes the issuance of the hospitalization certificate, they log in to the system and select the corresponding diagnosis and treatment group according to the patient's disease classification. Given the differences in the diagnosis and treatment needs and professional characteristics of different diseases, the hospital sets up specialized diagnosis and treatment groups for various diseases. Each diagnosis and treatment group is further divided into multiple medical teams, each team consisting of different doctors, and each doctor is responsible for managing multiple patients. For example, Doctor A is responsible for the diagnosis and treatment of patients such as Patient 1, Patient 2, and Patient 3. Patient 1 can independently reserve the hospitalization time through the intelligent Internet bed reservation platform. Hospital staff use the information editing function of the platform to send an admission notice to the patient by phone or text message, including detailed information such as the required documents for admission, the hospitalization date, preoperative dietary taboos (such as whether fasting is required), and physical condition requirements (such as whether there are cold symptoms). After receiving the notice, the patient can call back through the reserved contact information to confirm and ensure the accuracy of the information. Patients 2 and 3 who have not successfully reserved are in the queue waiting state. They can query their positions in the queue in real time through the platform to reasonably plan hospitalization-related matters, such as arranging work leave in advance.

[0104] For patients who need periodic hospitalization treatment, taking the ophthalmology department as an example, some patients need to be hospitalized every two weeks or every two months. Such patients can contact the doctor of their affiliated diagnosis and treatment group through the online communication function of the platform. The doctor issues an electronic hospitalization certificate for them in the system, and the patient can complete the bed reservation with the electronic hospitalization certificate without having to go to the hospital to handle the hospitalization certificate on site and queue up, greatly improving the reservation efficiency.

[0105] During the bed allocation process, for patients in the queue reservation state, the doctor can flexibly adjust the admission plan according to the actual medical resources and work arrangements. For example, the doctor can independently set in the system to admit 10 patients on Monday and 15 patients on Tuesday according to the daily surgical arrangements and the use of ward beds, and screen and determine the admission targets based on factors such as the patient's condition and surgical priority, and send an admission notice to them through the patient contact information recorded in the system.

[0106] Traditional bed reservation systems usually arrange for patients to be admitted based on available beds, while this intelligent Internet-based bed reservation platform focuses on the complex diagnosis and treatment needs of multi-disciplinary departments. Take the ophthalmology department as an example. Although it belongs to the same department, it covers various types of surgeries such as cataract, trichiasis, and orbital diseases. Each type of surgery corresponds to a different treatment group, and the patient admission plans and surgical time arrangements of each treatment group vary. Based on the surgical schedule formulated by doctors, this system reasonably arranges the hospitalization time of patients and sends admission notices in advance before the patients' surgery dates. For example, if the surgery of patient 1 in the treatment group is scheduled on Wednesday, the platform will push the hospitalization information to patient 1 before Monday to notify their admission. Patient 1 completes preoperative examinations on Tuesday, undergoes surgery on Wednesday, and can be discharged on Thursday. After patient 1 is discharged, a bed becomes vacant in the ward. The platform will notify patient 2 to be admitted on Thursday before Thursday and arrange subsequent surgeries for them.

[0107] This system significantly improves the work efficiency of medical staff and reduces cumbersome manual operation links; at the same time, it provides patients with convenient and efficient hospitalization services, effectively avoiding patients repeatedly asking medical staff during the waiting process and enhancing the patients' medical experience.

[0108] For the specific implementation solutions of this embodiment, reference can be made to the relevant descriptions in the above embodiments, and details will not be elaborated here.

[0109] It can be understood that the same or similar parts in the above embodiments can be referred to each other, and the content not detailed in some embodiments can be referred to the same or similar content in other embodiments.

[0110] It should be noted that in the description of the present invention, terms such as "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "a plurality" refers to at least two.

[0111] Any process or method description shown in the flowchart or described in other ways herein can be understood as representing a module, segment, or part of code including one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present invention includes additional implementations, where the functions can be executed in a manner that is not shown or discussed, including in a substantially simultaneous manner or in the reverse order according to the involved functions, which should be understood by those skilled in the technical field to which the embodiments of the present invention belong.

[0112] It should be understood that each part of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution device. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0113] Those of ordinary skill in the art can understand that all or part of the steps carried by the method of the above embodiments can be completed by instructing relevant hardware through a program, and the corresponding program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0114] In addition, in each embodiment of the present invention, each functional unit can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0115] The above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disc, etc.

[0116] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0117] The system, method, device, processor and computer-readable storage medium of the intelligent Internet reservation bed of the present invention are adopted, which improves the working efficiency of medical staff, reduces the cumbersome work such as manual copying of information, and doctors can quickly input and manage the inpatient information of patients through the system, and flexibly adjust the patient admission plan according to their own arrangements, greatly saving time. It improves the patient's medical experience. Patients can independently reserve the hospitalization time, check the queuing situation at any time, know the hospitalization precautions in advance and can confirm them. For regular inpatients, they can also quickly reserve a bed online, avoiding repeated inquiries to medical staff during the waiting process, and facilitating patients to reasonably arrange their personal affairs.

[0118] In this specification, the present invention has been described with reference to its specific embodiments. However, it is obvious that various modifications and variations can still be made without departing from the spirit and scope of the present invention. Therefore, the specification and drawings should be regarded as illustrative rather than restrictive.

Claims

1. An intelligent Internet bed reservation system, characterized in that: The system comprises: The diagnosis and treatment group intelligent management module is used to receive the patient's disease characteristic data, generate a diagnosis and treatment group allocation plan, and output the surgery schedule to the dynamic scheduling engine; A dynamic scheduling engine module, connected to the diagnosis and treatment group intelligent management module, is used to generate a time window prediction based on the surgery schedule, send a trigger instruction to the notification and interaction module, and start the hierarchical notification process; The notification and interaction module is connected to the dynamic scheduling engine module to generate customized notification content for patients, feedback confirmation status to the patient management module, and update the progress of hospitalization preparation; The patient full cycle management module is connected to the diagnosis and treatment group intelligent management module, and is used to receive the disease data of the diagnosis and treatment group module, generate an electronic hospitalization certificate, output treatment data to the data management and analysis module, and optimize the cycle prediction algorithm; The data management and analysis module is connected to the dynamic scheduling engine module and the dynamic scheduling engine module, and is used to receive operation logs, generate analysis reports, and feed back optimization parameters to the scheduling engine.

2. The intelligent Internet bed reservation system according to claim 1, characterized in that: The diagnosis and treatment group intelligent management module includes: A multi-level architecture management unit, connected to the dynamic scheduling engine module, is used to establish a four-level mapping relationship between disease types, departments, diagnosis and treatment groups, and doctors, and to establish a bidirectional association relationship between doctors and diagnosis and treatment groups; A surgery scheduling management unit, connected to the dynamic scheduling engine module, is used to generate recommended surgery scheduling plans, automatically identify conflicts in doctors' surgery schedules, and support dragging and dropping surgery schedules in a visual interface; A resource allocation monitoring unit, connected to the dynamic scheduling engine module, is used to record the diagnosis and treatment group and disease type to which each bed belongs, and to display the bed occupancy rate and waiting queue length of each diagnosis and treatment group; The dynamic scheduling engine module includes: A time window prediction unit, connected to the diagnosis and treatment group intelligent management module and the data management and analysis module, is used to set different examination day templates according to the disease type and reversely estimate the hospitalization time based on the operation day; A priority calculation unit, connected to the diagnosis and treatment group intelligent management module and the data management and analysis module, is used to sort the patients based on multiple factors including severity of illness, waiting time, and age; The bed resource monitoring unit is connected to the diagnosis and treatment group intelligent management module, notification and interaction module and data management and analysis module, and is used to lock the beds that are about to be released in advance and trigger an alarm when the beds are abnormally occupied.

3. The intelligent Internet bed reservation system according to claim 1, characterized in that: The notification and interaction module includes: A multi-channel distribution unit, connected to the dynamic scheduling engine module, is used to notify patients of hospitalization information via SMS or social software; A two-way confirmation unit, connected to the dynamic scheduling engine module, is used to manage the patient's confirmation information. If the patient fails to confirm within the time limit, the patient will be automatically downgraded to a standby. A hospitalization information reply unit, connected to the dynamic scheduling engine module, is used to automatically perform surgery according to the patient's disease and needs, and inform the patient of preoperative precautions; The patient full cycle management module includes: An electronic hospitalization certificate generating unit, connected to the diagnosis and treatment group intelligent management module, is used to issue an electronic hospitalization certificate with a doctor's electronic signature online; A chronic disease cycle prediction unit, connected to the diagnosis and treatment group intelligent management module, is used to automatically calculate the follow-up visit time of chronic disease patients and extract and push follow-up visit reminders; The data management and analysis module includes: The resource utilization analysis unit is connected to the dynamic scheduling engine module and the patient full-cycle management module, and is used to calculate the average occupancy time of beds in each diagnosis and treatment group and to count the vacancy loss of beds; The service quality monitoring unit is connected to the dynamic scheduling engine module and the patient full-cycle management module, and is used to count the notification confirmation time in real time and automatically adjust the buffer period parameters according to the prediction error.

4. The intelligent Internet bed reservation system according to claim 1, characterized in that: The system further comprises a visualization interface module, which is connected to the notification and interaction module and the data management and analysis module respectively, and comprises: The doctor's work end is used to display the surgery schedule, bed occupancy and doctor's duty table, and recommend the surgery schedule plan based on the surgery volume forecast; The patient side is used to dynamically display the hospitalization time and hospitalization information.

5. A method for realizing intelligent Internet bed reservation based on the system according to any one of claims 1 to 4, characterized in that: The method comprises the following steps: (1) Generate patient surgery information and bed reservation information; (2) Intelligent matching of diagnosis and treatment groups; (3) Dynamic calculation and prediction of hospital stay; (4) Automatically notify patients of hospitalization information and preoperative precautions, and notify patients in the waiting queue; (5) Patient confirmation and preparation for admission; (6) Admission verification, recording actual hospitalization time and surgical execution status, automatically marking the diagnosis and treatment group parameters that need to be calibrated, and synchronizing discharge information.

6. The method for realizing intelligent Internet bed reservation according to claim 5, characterized in that: The step (2) specifically comprises the following steps: (2.1) Identify the disease; (2.2) Assign diagnosis and treatment groups, with priority given to groups with vacancies in the current surgery schedule; (2.3) Associated surgery time.

7. The method for realizing intelligent Internet bed reservation according to claim 5, characterized in that: The step (3) specifically comprises the following steps: (3.1) Calculation time window; (3.2) Scan the bed status of the target diagnosis and treatment group in real time. If a matching bed is detected, the notification process will be initiated. Otherwise, the patient will enter the waiting queue and be marked with the order.

8. An intelligent Internet bed reservation device, characterized in that: The device comprises: a processor configured to execute computer executable instructions; A memory stores one or more computer executable instructions, and when the computer executable instructions are executed by the processor, the various steps of the method for intelligent Internet bed reservation described in any one of claims 5 to 7 are implemented.

9. A processor for intelligent Internet bed reservation, characterized in that: The processor is configured to execute computer executable instructions. When the computer executable instructions are executed by the processor, the various steps of the method for intelligent Internet bed reservation described in any one of claims 5 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and the computer program can be executed by a processor to implement each step of the method for intelligent Internet bed reservation as described in any one of claims 5 to 7.

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