Day surgery patient appointment information management method and system

Abstract

This application discloses a method and system for managing appointment information for day surgery patients, relating to the technical field of hospital visitation systems. The method includes: receiving a doctor's order for day surgery and performing real-name authentication and basic health information authorization; after real-name authentication and basic health information authorization are completed, parsing the corresponding electronic medical record, anesthesia assessment results, surgical complexity, and historical appointment data, and combining this with a corresponding pool of available time slots to generate multiple recommended surgical time slots; selecting any recommended surgical time slot and generating a corresponding day surgery digital package; and electronically signing the electronic informed consent form for the day surgery digital package. This application employs a patient-centered, closed-loop surgical appointment management mechanism that deeply integrates dynamic scheduling and multi-terminal real-time collaboration, breaking through the traditional resource-centric scheduling logic, changing the information blind spots of traditional methods, and avoiding excessively long waiting times for surgical patients at the hospital, thus preventing inconvenience to their lives.

Description

Technical Field

[0001] This application relates to the technical field of hospital visitation systems, specifically to a method and system for managing appointment information of day surgery patients. Background Technology

[0002] Day surgery, also known as outpatient surgery or same-day discharge surgery, refers to a medical model where patients are admitted to the hospital on the scheduled surgery day, receive surgical treatment, and are safely discharged on the same day. Due to the accelerating aging population and increasing healthcare needs, day surgery has received growing attention as a medical model that effectively utilizes medical resources, shortens patient hospital stays, and reduces healthcare costs. It not only improves medical efficiency but also significantly shortens patient hospital stays, reduces healthcare costs, and allows patients to recover post-operatively in the familiar environment of their home.

[0003] Day surgery appointments refer to the appointment process patients undergo before receiving day surgery. Currently, the day surgery appointment model is mainly driven by surgeons, with patients passively accepting appointment times. Appointments are mostly made through verbal or manual registration. Some hospitals have implemented information-based appointment registration systems, but the main focus is on surgery scheduling. As a result, there are problems such as information asymmetry, cumbersome appointment processes, uneven resource allocation, leading to long patient waiting times, high no-show rates, and low hospital operational efficiency.

[0004] Therefore, in order to address the above problems and meet practical needs, a day surgery patient appointment information management technology is proposed. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the purpose of this application is to provide a method and system for managing appointment information for day surgery patients. This system is a patient-centered, closed-loop surgical appointment management mechanism that deeply integrates dynamic scheduling and real-time multi-terminal collaboration. It breaks through the traditional resource-centered scheduling logic, changes the information blind spots of traditional methods, and avoids excessively long waiting times for surgical patients at the hospital, which can cause inconvenience to their lives.

[0006] To achieve the above objectives, the technical solution adopted in this application is as follows: In a first aspect, this application provides a method for managing appointment information of day surgery patients, the method comprising the following steps: Upon receiving the doctor's order for day surgery, complete real-name authentication and authorize basic health information; After real-name authentication and basic health information authorization are completed, the corresponding electronic medical records, anesthesia assessment results, surgical complexity and historical performance data are parsed and combined with the corresponding optional time pool to generate multiple surgical recommendation time slots. The surgical recommendation time slot information includes the surgeon's specialty tag, the real-time availability of the operating room, the estimated waiting time and traffic navigation suggestions. Select any of the recommended surgical time slots to generate a corresponding day surgery digital package, which includes: an electronic informed consent form, a preoperative preparation checklist, and a personalized rehabilitation guide; Electronically sign the electronic informed consent form for the aforementioned day surgery digital package.

[0007] Based on the above technical solution, the method further includes the following steps: After the electronic signature is completed, a personalized education content package is dynamically generated based on the type of surgery, the patient's age, educational background, and past compliance data. The personalized education content package is pushed out based on a preset education push cycle.

[0008] Based on the above technical solution, the education and outreach period is 72 hours, 24 hours, or 2 hours before surgery.

[0009] Based on the above technical solution, the method further includes the following steps: After the personalized education content package is pushed out, the final admission decision will be made based on the patient's credit score, real-time traffic prediction, and surgical resource readiness. Once the final admission decision is approved, an electronic surgery notification form containing a unique appointment code will be generated and sent.

[0010] Based on the above technical solution, the method further includes the following steps: Based on the first follow-up period, pain assessment and basic nursing guidelines will be provided. Based on the second follow-up period, a personalized rehabilitation plan will be pushed out; Based on the third follow-up period, initial screening questionnaires on satisfaction and complications were sent out.

[0011] Secondly, this application provides a day surgery patient appointment information management system, the system comprising: The information authorization module is used to receive doctors' orders for day surgery and to perform real-name authentication and authorization of basic health information. The time slot recommendation module is used to parse the corresponding electronic medical records, anesthesia assessment results, surgical complexity and historical performance data after real-name authentication and basic health information authorization are completed, and generate multiple surgical recommendation time slots by combining them with the corresponding selectable time pool. The surgical recommendation time slot information includes the surgeon's specialty tag, the real-time availability status of the operating room, the estimated waiting time and traffic navigation suggestions. The digital package generation module is used to select any of the recommended surgical time periods and generate a corresponding day surgery digital package, which includes: an electronic informed consent form, a preoperative preparation checklist, and a personalized rehabilitation guide. An electronic signature module is used to electronically sign the electronic informed consent form for the day surgery digital package.

[0012] Based on the above technical solution, the system further includes: The education and outreach module is used to dynamically generate personalized education content packages based on surgical type, patient age, educational background, and past compliance data after electronic signing is completed. The education and publicity push module is also used to push the personalized education and publicity content package based on a preset education and publicity push cycle.

[0013] Based on the above technical solution, the education and outreach period is 72 hours, 24 hours, or 2 hours before surgery.

[0014] Based on the above technical solution, the system further includes: The notification push module is used to make a final admission decision based on the patient's credit score, real-time traffic prediction, and surgical resource readiness after the personalized education content package has been pushed. The notification push module is also used to generate and send an electronic surgical notification containing a unique appointment code after the final admission decision is approved.

[0015] Based on the above technical solution, the system further includes: The postoperative follow-up module is used to push pain assessment and basic nursing guidelines based on the first follow-up cycle. The postoperative follow-up module is also used to push personalized rehabilitation plans based on the second follow-up cycle; The postoperative follow-up module is also used to send initial screening questionnaires on satisfaction and complications based on the third follow-up cycle.

[0016] Compared with the prior art, the advantages of this application are: This application adopts a patient-centered, closed-loop surgical appointment management mechanism that deeply integrates dynamic scheduling and multi-terminal real-time collaboration. It breaks through the traditional resource-centered scheduling logic, changes the information blind spots of the traditional method, and avoids excessively long waiting times for surgical patients at the hospital, which can cause inconvenience to their lives. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1This is a flowchart illustrating the principle of the day surgery patient appointment information management method according to an embodiment of this application; Figure 2 This is a flowchart illustrating the day surgery patient appointment information management method according to an embodiment of this application. Figure 3 This is a structural block diagram of the day surgery patient appointment information management system according to an embodiment of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] The embodiments of this application will be further described in detail below with reference to the accompanying drawings.

[0021] This application provides a method and system for managing appointment information for day surgery patients. It is a patient-centered, closed-loop surgery appointment management mechanism that deeply integrates dynamic scheduling and multi-terminal real-time collaboration. It breaks through the traditional resource-centered scheduling logic, changes the information blind spots of the traditional method, and avoids long waiting times for surgical patients at the hospital, which can cause inconvenience to their lives.

[0022] To achieve the aforementioned technical effects, the overall concept of this application is as follows: A method for managing appointment information for day surgery patients, comprising the following steps: S1. Upon receiving the doctor's order for day surgery, complete real-name authentication and authorize basic health information; S2. After real-name authentication and basic health information authorization are completed, the corresponding electronic medical records, anesthesia assessment results, surgical complexity and historical performance data are parsed, and combined with the corresponding optional time pool, multiple surgical recommendation time slots are generated. The surgical recommendation time slot information includes the surgeon's specialty tag, the real-time availability of the operating room, the estimated waiting time and traffic navigation suggestions. S3. Select any recommended surgical time slot to generate the corresponding day surgery digital package. The day surgery digital package includes: electronic informed consent form, preoperative preparation checklist and personalized rehabilitation guide. S4. Electronic signing of electronic informed consent forms for digital day surgery packages.

[0023] The embodiments of this application will be further described in detail below with reference to the accompanying drawings.

[0024] Firstly, see [the following] Figures 1-2As shown in the figure, this application provides a method for managing appointment information of day surgery patients, which includes the following steps: S1. Upon receiving the doctor's order for day surgery, complete real-name authentication and authorize basic health information; S2. After real-name authentication and basic health information authorization are completed, the corresponding electronic medical records, anesthesia assessment results, surgical complexity and historical performance data are parsed, and combined with the corresponding optional time pool, multiple surgical recommendation time slots are generated. The surgical recommendation time slot information includes the surgeon's specialty tag, the real-time availability of the operating room, the estimated waiting time and traffic navigation suggestions. S3. Select any recommended surgical time slot to generate the corresponding day surgery digital package. The day surgery digital package includes: electronic informed consent form, preoperative preparation checklist and personalized rehabilitation guide. S4. Electronic signing of electronic informed consent forms for digital day surgery packages.

[0025] In this embodiment, the patient-centered, closed-loop surgical appointment management mechanism deeply integrates dynamic scheduling and multi-terminal real-time collaboration, breaks through the traditional resource-centered scheduling logic, changes the information blind spots of the traditional method, and avoids excessively long waiting times for surgical patients at the hospital, which causes inconvenience to their lives.

[0026] Furthermore, the method also includes the following steps: After the electronic signature is completed, a personalized education content package is dynamically generated based on the type of surgery, the patient's age, educational background, and past compliance data. The personalized education content package is pushed out based on a preset education push cycle.

[0027] Furthermore, the educational outreach period is 72 hours, 24 hours, or 2 hours before surgery.

[0028] Furthermore, the method also includes the following steps: After the personalized education content package is pushed out, the final admission decision will be made based on the patient's credit score, real-time traffic prediction, and surgical resource readiness. Once the final admission decision is approved, an electronic surgery notification form containing a unique appointment code will be generated and sent.

[0029] Furthermore, the method also includes the following steps: Based on the first follow-up period, pain assessment and basic nursing guidelines will be provided. Based on the second follow-up period, a personalized rehabilitation plan will be pushed out; Based on the third follow-up period, initial screening questionnaires on satisfaction and complications were sent out.

[0030] Currently, hospital information systems are developed primarily for medical procedures. However, the technical solution in this application focuses on day surgery patients, designing it around their treatment process and needs. Based on this technical solution, a complete day surgery appointment information management system is constructed. This system includes three modules: a patient-side module, a hospital-side module, and a data center module. Patient-side: Focusing on autonomous decision-making and full-process interaction, it supports intelligent recommendation of appointment time slots, multi-dimensional resource comparison (such as distance from home, doctor's expertise, and operating room availability), electronic informed consent signing, and personalized education content delivery; Hospital side: Addressing both clinical and management needs, it integrates outpatient electronic medical records, surgical scheduling engine, anesthesia assessment interface, and billing system linkage module; The data center, based on a unified data standard, aggregates indicators such as patient behavior logs, appointment fulfillment rates, time-slot distribution heatmaps, and educational outreach effectiveness in real time, driving dynamic rule optimization and resource prediction and scheduling.

[0031] The specific work details are as follows: 1. Patient side: After a patient's initial consultation, the attending physician issues a day surgery request. The patient can complete real-name authentication and basic health information authorization via WeChat mini-program or computer system. The system then uses AI algorithms to automatically parse the electronic medical record summary, combining anesthesia assessment results, surgical complexity, and historical appointment data to intelligently generate 3-5 recommended time slots. Each time slot simultaneously displays the corresponding surgeon's specialty tag, the operating room's real-time availability, estimated waiting time, and transportation navigation suggestions, supporting one-click confirmation, flexible rescheduling, and collaborative decision-making by family members. Upon confirmation, the system immediately generates a "day surgery digital package" containing an electronic informed consent form, a pre-operative preparation checklist, and a personalized rehabilitation guide, which is simultaneously pushed to the patient's mobile phone and family's device. If the patient fails to sign within 48 hours, the AI ​​assistant will automatically trigger three reminders and dynamically optimize subsequent recommendation strategies based on behavioral data. All operations are logged and transmitted back to the data center in real time, allowing patients to independently adjust their time slots within 72 hours of appointment. The system simultaneously triggers resource re-matching and cascading updates of related processes (such as educational push nodes and pre-operative examination appointments).

[0032] 2. Hospital side: (1) Preoperative admission: The day surgery admission assessment process is automatically triggered according to the doctor's order, and the pre-filled information from the patient and the shared data of the platform are retrieved simultaneously to complete the intelligent initial screening; after the assessment is passed, the system pushes the available time slot pool to the patient (including travel time estimation, preoperative preparation time reminder and postoperative follow-up node marking), and supports one-click locking and multiple time slot waiting registration. The dynamic generation logic of the time slot pool is combined with a multi-objective optimization algorithm: minimizing the patient's commuting time is the first priority, the balance of the utilization rate of operating room and anesthesiologist resources is the second constraint, and the time slot recommendation weight is adjusted by combining historical performance data; the waiting registration adopts a FIFO + credit score dual mechanism, implements a time slot locking delay strategy for patients with high frequency of no-shows, and displays the waiting queue position and expected release probability to the patient in real time. The time slot pool generation process uses geofencing services in real time to calculate commuting time, combining dynamic traffic data from Gaode / Baidu Maps APIs with patient's common travel modes (walking / public transport / driving) for modeling. Historical performance weighting factors are calibrated in three dimensions according to patient type (initial visit / follow-up visit), surgical complexity (CMI index), and seasonal factors (a 12% decrease in education response rate during flu season). The credit scoring system is linked to the hospital's HIS no-show records and the regional medical insurance platform's blacklist, enabling cross-institutional behavioral linkage and punishment. The time slot pool is refreshed every 15 minutes in real time, supporting second-level response to sudden resource changes (such as temporary disinfection of the operating room or emergency dispatch of anesthesiologists). After a patient locks in a time slot, the system automatically pushes collaborative preparation instructions to the surgeon, anesthesiologist, and operating room, and simultaneously updates the to-do list of each role. The system automatically synchronizes patient appointment information to the outpatient electronic medical record and surgical scheduling engine, and dynamically verifies the spatiotemporal matching degree of the operating room, anesthesiologist and nurse schedules based on the surgical type, anesthesia method and expected duration. When resource conflicts or performance risks are detected (such as patients’ past no-show rate >15% or missing preoperative examinations), a graded warning is automatically triggered.

[0033] (2) Preoperative education: The system synchronously activates the preoperative education knowledge graph matching engine, dynamically generates personalized education content packages (including text, short videos, and interactive Q&A) based on the type of surgery, patient age, educational background, and past compliance data, and sets three-level push nodes at 72 hours, 24 hours, and 2 hours before surgery. After the education content package is pushed, the system automatically verifies the patient's confirmation receipt and behavioral response data; all education closed-loop statuses (complete / interrupted / transferred to manual) are synchronized to the surgical scheduling engine in real time as one of the veto items for the second verification of preoperative admission.

[0034] (3) Surgical confirmation: The surgical scheduling engine makes a final admission decision based on the closed-loop status of education, patient credit score, real-time traffic forecast and resource readiness. After the decision is approved, the system automatically generates an electronic surgical notification with a unique appointment code and pushes the day surgery fee list to the patient's end. After payment, a precise reminder 2 hours before surgery is triggered (including the weather, traffic advice, fasting and drinking countdown and family accompaniment guidance).

[0035] (5) Postoperative follow-up: The system automatically triggers a three-level follow-up mechanism based on the type of surgery and the patient's risk stratification: pain assessment and basic nursing guidelines are pushed out 0.5 hours after surgery, a personalized rehabilitation plan (including medication reminders, wound observation points, and follow-up appointment portal) is generated within 24 hours, and a satisfaction and complication screening questionnaire is launched 72 hours after surgery; all follow-up nodes are bidirectionally synchronized with the electronic medical record system, and the structured feedback is injected into the data center analysis model in real time to drive the optimization of education strategies and the iteration of scheduling rules.

[0036] 3. Data Center: Data is collected and analyzed throughout the entire appointment and surgery process. All decision logs, timestamps, and decision-making evidence are encrypted and stored in the data center in a chain, supporting post-event auditing and service quality traceability. After data anonymization, it is connected to a multi-dimensional quality dashboard in real time, supporting penetrating analysis by department, surgical procedure, time period, risk level, and other dimensions. Abnormal behavior patterns (such as high-frequency no-shows and a sudden increase in the interruption rate of health education) trigger the root cause localization algorithm and automatically generate optimization suggestion reports.

[0037] In summary, the advantages of the technical solution in this application are as follows: 1. This application's embodiment pioneers a patient-centered, closed-loop surgical appointment management mechanism that deeply integrates AI dynamic scheduling and multi-terminal real-time collaboration; it breaks through the traditional resource-centered scheduling logic, elevating appointment decisions from "being able to make an appointment" to "being the most suitable," changing the information blind spots of the traditional approach, and avoiding excessively long waiting times for surgical patients at the hospital, which can cause inconvenience to their lives.

[0038] 2. The patient-led two-way appointment mechanism realizes the transformation from the "doctor scheduling - patient confirmation" model to the "patient time selection - system verification - doctor collaboration" model; all appointment operations are embedded with real-time resource status feedback (such as operating room occupancy rate, anesthesiologist on-duty status, and idle time of laboratory and examination equipment), and support patients to adjust the time slot independently after making an appointment. The system synchronously triggers the cascading update of resource rematch and related links (such as education push nodes and preoperative examination appointments).

[0039] 3. Patients can view real-time surgical schedule updates, adjust their appointment times independently (within resource constraints), and receive personalized educational content based on their behavioral preferences. Hospitals, on the other hand, rely on heatmaps of collective behavior from the data center to dynamically optimize doctor scheduling and operating room resource allocation strategies, achieving a leap from "passive response" to "proactive adaptation." This paradigm shift is implemented through a three-stage dynamic adaptation: the first stage generates an initial appointment recommendation set based on initial patient screening data (such as address radius, commuting time, and past no-show rates); the second stage, after appointment confirmation, performs minute-level resource rebalancing based on real-time operating room occupancy heatmaps and doctor availability; the third stage initiates final verification 24 hours before surgery. If a sudden change in patient behavior is detected (such as a sharp drop in educational click-through rates or failure to activate access questionnaires), a manual intervention channel is automatically triggered, and scheduling weights are updated simultaneously. This three-stage adaptation mechanism achieves seamless integration through a time-axis-driven event bus: the triggering conditions, decision rules, and execution actions of each stage are all registered to a unified scheduling engine in a standardized event format, ensuring that patient behavior signals (such as clicks, fills, and cancels) and system resource status (such as operating room idle time and doctor on-duty window) are coupled and calculated in milliseconds. Each stage output generates an auditable decision log, which is written to the blockchain notarization layer in real time, forming a closed loop of trusted traceability from "patient intention expression" to "dynamic resource allocation".

[0040] 4. The system architecture adopts a three-layer decoupled design: patient end (WeChat mini-program / APP), hospital business end (HIS / EMR / scheduling system interface), and data center (real-time stream processing engine + multi-dimensional analysis model). Each layer interacts through standardized APIs to ensure millisecond-level synchronization between patient actions, clinical execution data, and operational indicators. The patient-side system incorporates a geofencing engine and traffic situation API to dynamically calculate home-hospital commute time and conversely constrain selectable time slots. The hospital-side system embeds a rule engine that supports scheduling based on 12 types of constraints, including surgery type, anesthesia method, and doctor's expertise. The data center constructs an appointment conversion funnel model to automatically identify high-risk no-show nodes and trigger intervention strategies, including pushing personalized educational videos 48 hours before surgery, sending traffic forecasts and fasting reminders 24 hours before surgery, and initiating two-way confirmation 2 hours before surgery (patients click "Confirm Attendance" or "Request Rescheduling"), simultaneously triggering hospital-side resource rescheduling plans. The intervention effect is fed back to the funnel model in real time, forming a closed-loop optimization mechanism of "identification-response-evaluation" to reduce no-show rates caused by information lag. It also supports A / B testing of the effectiveness of intervention strategies and dynamically iterates the combination of push content, timing, and channels.

[0041] Secondly, see Figure 3 As shown in the figure, this application provides a day surgery patient appointment information management system, which includes: The information authorization module is used to receive doctors' orders for day surgery and to perform real-name authentication and authorization of basic health information. The time slot recommendation module is used to parse the corresponding electronic medical records, anesthesia assessment results, surgical complexity and historical performance data after real-name authentication and basic health information authorization are completed, and generate multiple surgical recommendation time slots by combining them with the corresponding selectable time pool. The surgical recommendation time slot information includes the surgeon's specialty tag, the real-time availability status of the operating room, the estimated waiting time and traffic navigation suggestions. The digital package generation module is used to select any of the recommended surgical time periods and generate a corresponding day surgery digital package, which includes: an electronic informed consent form, a preoperative preparation checklist, and a personalized rehabilitation guide. An electronic signature module is used to electronically sign the electronic informed consent form for the day surgery digital package.

[0042] In this embodiment, the patient-centered, closed-loop surgical appointment management mechanism deeply integrates dynamic scheduling and multi-terminal real-time collaboration, breaks through the traditional resource-centered scheduling logic, changes the information blind spots of the traditional method, and avoids excessively long waiting times for surgical patients at the hospital, which causes inconvenience to their lives.

[0043] Furthermore, the system also includes: The education and outreach module is used to dynamically generate personalized education content packages based on surgical type, patient age, educational background, and past compliance data after electronic signing is completed. The education and publicity push module is also used to push the personalized education and publicity content package based on a preset education and publicity push cycle.

[0044] Furthermore, the educational outreach period is 72 hours, 24 hours, or 2 hours before surgery.

[0045] Furthermore, the system also includes: The notification push module is used to make a final admission decision based on the patient's credit score, real-time traffic prediction, and surgical resource readiness after the personalized education content package has been pushed. The notification push module is also used to generate and send an electronic surgical notification containing a unique appointment code after the final admission decision is approved.

[0046] Furthermore, the system also includes: The postoperative follow-up module is used to push pain assessment and basic nursing guidelines based on the first follow-up cycle. The postoperative follow-up module is also used to push personalized rehabilitation plans based on the second follow-up cycle; The postoperative follow-up module is also used to send initial screening questionnaires on satisfaction and complications based on the third follow-up cycle.

[0047] In summary, the day surgery patient appointment information management system provided in this application embodiment is technically the same as the day surgery patient appointment information management method provided in the first aspect in terms of technical problems, technical solutions, and technical effects, so it will not be described in detail here.

[0048] In the description of this application, it should be noted that the terms "upper," "lower," etc., indicating the orientation or positional relationship are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the system or component referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Unless otherwise expressly specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication between two components. For those skilled in the art, the specific meaning of the above terms in this application can be understood according to the specific circumstances.

[0049] It should be noted that in this application, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0050] The above description is merely a specific embodiment of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for managing appointment information for day surgery patients, characterized in that, The method includes the following steps: Upon receiving the doctor's order for day surgery, complete real-name authentication and authorize basic health information; After real-name authentication and basic health information authorization are completed, the corresponding electronic medical records, anesthesia assessment results, surgical complexity and historical performance data are parsed and combined with the corresponding optional time pool to generate multiple surgical recommendation time slots. The surgical recommendation time slot information includes the surgeon's specialty tag, the real-time availability of the operating room, the estimated waiting time and traffic navigation suggestions. Select any of the recommended surgical time slots to generate a corresponding day surgery digital package, which includes: an electronic informed consent form, a preoperative preparation checklist, and a personalized rehabilitation guide; Electronically sign the electronic informed consent form for the aforementioned day surgery digital package.

2. The method for managing appointment information for day surgery patients as described in claim 1, characterized in that, The method further includes the following steps: After the electronic signature is completed, a personalized education content package is dynamically generated based on the type of surgery, the patient's age, educational background, and past compliance data. The personalized education content package is pushed out based on a preset education push cycle.

3. The method for managing appointment information for day surgery patients as described in claim 2, characterized in that: The educational outreach period is 72 hours, 24 hours, or 2 hours before surgery.

4. The method for managing appointment information for day surgery patients as described in claim 1, characterized in that, The method further includes the following steps: After the personalized education content package is pushed out, the final admission decision will be made based on the patient's credit score, real-time traffic prediction, and surgical resource readiness. Once the final admission decision is approved, an electronic surgery notification form containing a unique appointment code will be generated and sent.

5. The method for managing appointment information for day surgery patients as described in claim 1, characterized in that, The method further includes the following steps: Based on the first follow-up period, pain assessment and basic nursing guidelines will be provided. Based on the second follow-up period, a personalized rehabilitation plan will be pushed out; Based on the third follow-up period, initial screening questionnaires on satisfaction and complications were sent out.

6. A day surgery patient appointment information management system, characterized in that, The system includes: The information authorization module is used to receive doctors' orders for day surgery and to perform real-name authentication and authorization of basic health information. The time slot recommendation module is used to parse the corresponding electronic medical records, anesthesia assessment results, surgical complexity and historical performance data after real-name authentication and basic health information authorization are completed, and generate multiple surgical recommendation time slots by combining them with the corresponding selectable time pool. The surgical recommendation time slot information includes the surgeon's specialty tag, the real-time availability status of the operating room, the estimated waiting time and traffic navigation suggestions. The digital package generation module is used to select any of the recommended surgical time periods and generate a corresponding day surgery digital package, which includes: an electronic informed consent form, a preoperative preparation checklist, and a personalized rehabilitation guide. An electronic signature module is used to electronically sign the electronic informed consent form for the day surgery digital package.

7. The day surgery patient appointment information management system as described in claim 6, characterized in that, The system also includes: The education and outreach module is used to dynamically generate personalized education content packages based on surgical type, patient age, educational background, and past compliance data after electronic signing is completed. The education and publicity push module is also used to push the personalized education and publicity content package based on a preset education and publicity push cycle.

8. The day surgery patient appointment information management system as described in claim 7, characterized in that: The educational outreach period is 72 hours, 24 hours, or 2 hours before surgery.

9. The day surgery patient appointment information management system as described in claim 6, characterized in that, The system also includes: The notification push module is used to make a final admission decision based on the patient's credit score, real-time traffic prediction, and surgical resource readiness after the personalized education content package has been pushed. The notification push module is also used to generate and send an electronic surgical notification containing a unique appointment code after the final admission decision is approved.

10. The day surgery patient appointment information management system as described in claim 6, characterized in that, The system also includes: The postoperative follow-up module is used to push pain assessment and basic nursing guidelines based on the first follow-up cycle. The postoperative follow-up module is also used to push personalized rehabilitation plans based on the second follow-up cycle; The postoperative follow-up module is also used to send initial screening questionnaires on satisfaction and complications based on the third follow-up cycle.

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