Perioperative period management method and system based on multi-dimensional data

Abstract

The invention relates to the technical field of operation management, and discloses a perioperative period management method and system based on multi-dimensional data. The method comprises the following steps: generating a preoperative electronic medical record, generating preoperative early warning information, pushing preoperative matters needing attention, generating an intraoperative electronic medical record in real time, generating a postoperative electronic medical record, generating a perioperative period evaluation report, and determining a re-visit patient list. The system corresponds to the method. According to the application, before the operation, the electronic medical record is generated by acquiring the patient information, the preoperative early warning information is generated, and the matters needing attention are pushed, so that sufficient preoperative preparation of the patient is ensured, and the operation risk is reduced; in the operation, the electronic medical record in the operation is updated in real time based on vital sign data, and the operation is guaranteed; after operation, based on a perioperative period evaluation report, a re-visit patient list can be accurately determined, medical resources can be reasonably allocated, and rehabilitation of the patients is promoted; the problems of data dispersion, inaccurate evaluation and low management efficiency in traditional perioperative period management are solved, and the quality and efficiency of perioperative period medical service are improved.

Description

Technical Field

[0001] The present application relates to the technical field of surgical management, and specifically to a perioperative management method and system based on multidimensional data. Background Art

[0002] In the modern medical environment, perioperative management is crucial to ensure surgical safety and patient recovery. Traditional perioperative management methods often rely on manual operations and scattered data records, which have many problems, as shown in the following aspects:

[0003] First, in the preoperative stage, patient information collection is often not comprehensive and timely. Doctors need to manually search for the patient's basic information and medical history from multiple different medical records, which can easily lead to information omissions or errors, thus affecting the accuracy of preoperative risk assessment. Moreover, the push of preoperative precautions lacks systematicity, which may lead to inadequate patient preparation.

[0004] Secondly, during the intraoperative stage, the monitoring and recording of patients' vital signs data are relatively scattered, and there is a lack of effective integration and analysis of these data. It is difficult for medical staff to grasp the relevant indicators of surgical quality in real time and comprehensively, which is not conducive to timely adjustment of surgical strategies.

[0005] Third, in the postoperative stage, the assessment of the patient's recovery is often based on empirical judgment and lacks comparative analysis with a large amount of historical data. This makes it difficult to accurately determine which patients need follow-up visits, which can easily lead to delayed patient recovery or waste of medical resources.

[0006] Chinese patent number CN202411208281.X discloses a perioperative data processing method, medical system, equipment and storage medium, but the invention fails to realize the analysis of the patient's perioperative medical records.

[0007] In summary, a new technical solution for perioperative management based on multidimensional data is urgently needed to achieve efficient integration, accurate analysis and timely feedback of patient information, so as to improve the quality and efficiency of perioperative management. Summary of the invention

[0008] The purpose of this application is to provide a perioperative management method and system based on multidimensional data to solve the technical problems raised in the above background technology.

[0009] To achieve the above objectives, this application discloses the following technical solutions:

[0010] In a first aspect, the present application discloses a perioperative management method based on multidimensional data, the method comprising:

[0011] S1: Acquire patient information, generate preoperative electronic medical records, generate preoperative warning information based on the preoperative electronic medical records, and push preoperative precautions based on the preoperative warning information; wherein the preoperative electronic medical records are used to record the patient's preoperative treatment records;

[0012] S2: Obtain and analyze intraoperative vital sign data, update the preoperative electronic medical record, and generate an intraoperative electronic medical record in real time; wherein the intraoperative electronic medical record is used to record the patient's preoperative and intraoperative treatment records;

[0013] S3: Obtain postoperative recovery data, update the intraoperative electronic medical record, generate a postoperative electronic medical record, generate a perioperative assessment report based on the postoperative electronic medical record, and determine a list of follow-up patients based on the perioperative assessment report; wherein, the postoperative electronic medical record is used to record the patient's preoperative, intraoperative and postoperative treatment records, the perioperative assessment report is used to evaluate the patient's preoperative, intraoperative and postoperative treatment conditions, and the follow-up patient list is used to record patients who need to be followed up.

[0014] Preferably, the patient information includes at least the patient's basic information and medical history; wherein, the basic information includes at least the patient's name, age, gender, contact information, and allergy history; the medical history includes at least the patient's previous medical history, family medical history, and medication history; and the patient information is updated in real time based on the hospital's medical database.

[0015] Preferably, the process of generating the preoperative warning information includes:

[0016] A1: Obtain the patient's new examination results, which at least include the results of blood tests, biochemical tests, and imaging tests;

[0017] A2: Obtain the patient's historical examination results;

[0018] A3: Conduct risk assessment of new examination results based on the preoperative electronic medical records. The specific risk assessment is:

[0019] Calculating a predicted examination result of the patient based on the historical examination results and the preoperative electronic medical record;

[0020] The new test result is compared with the predicted test result to calculate the patient's preoperative warning level. When the preoperative warning level does not meet the preset preoperative warning threshold, the operation process of A1 to A3 is output and defined as preoperative warning information. The calculation of the patient's preoperative warning level is specifically as follows:

[0021] The risk assessment formula is used to conduct risk assessment of new examination results based on preoperative electronic medical records. The specific risk assessment formula is:

[0022] RL=fS (ER n ,ER p )

[0023] Among them, ER n For new test results, ER p is the predicted inspection result, f S (ER n ,ER p ) indicates calculation of ER n and ER p similarity, RL is the calculated preoperative warning level; and ER p =ER h *α, where ER h is the historical examination results of patients of the same type, and α is the scaling weight set of the examination results obtained by fitting based on the historical examination results.

[0024] Preferably, the preoperative precautions include at least fasting and water restriction time, preoperative medication instructions, and a list of surgical preparation items.

[0025] Preferably, the process of generating the intraoperative electronic medical record includes:

[0026] B1: Acquire the vital signs data, which at least include heart rate, blood pressure, blood oxygen saturation, and respiratory rate, and update the vital signs data to the intraoperative electronic medical record;

[0027] B2: extracting features from the vital signs data to obtain intraoperative features, where the intraoperative features are used to characterize the patient's vital signs during the operation;

[0028] B3: Traverse the intraoperative features in a preset intraoperative feature database, which stores historical intraoperative features. Based on the comparison between the intraoperative features and the historical intraoperative features, calculate the intraoperative quality index, and update the intraoperative quality index to the intraoperative electronic medical record. The intraoperative quality index is used to characterize the quality of the surgery.

[0029] Preferably, the intraoperative electronic medical record also includes at least the operation start time, key operation time points, use of surgical instruments, intraoperative medication and intraoperative bleeding volume.

[0030] Preferably, S2 further comprises:

[0031] Based on the real-time generated intraoperative electronic medical records and combined with surgical process standards, the surgical progress is displayed in real time.

[0032] Preferably, the process of generating the perioperative assessment report includes:

[0033] C1: updating the recovery data to the postoperative electronic medical record, wherein the recovery data at least includes the recovery of vital signs, wound healing, and occurrence of postoperative complications;

[0034] C2: Compare the patient's postoperative electronic medical records with those of similar patients, and generate a perioperative assessment report based on the comparison results. The perioperative assessment report at least includes the patient's recovery status and follow-up treatment recommendations. The follow-up treatment recommendations at least include whether a follow-up visit is needed or not.

[0035] Preferably, the process of determining the list of patients for follow-up visits includes:

[0036] When the follow-up treatment recommendation in the perioperative evaluation report is that a follow-up visit is required, the patient will be included in the follow-up patient list.

[0037] In a second aspect, the present application discloses a perioperative management system based on multidimensional data, the system is applicable to the perioperative management method based on multidimensional data as described above, the system comprises a preoperative management module, an intraoperative management module and a postoperative management module which are sequentially connected in communication;

[0038] The preoperative management module is configured to: obtain patient information, generate preoperative electronic medical records, generate preoperative warning information based on the preoperative electronic medical records, and push preoperative precautions based on the preoperative warning information; wherein the preoperative electronic medical records are used to record the patient's preoperative treatment records;

[0039] The intraoperative management module is configured to: obtain and analyze intraoperative vital sign data, update the preoperative electronic medical record, and generate an intraoperative electronic medical record; wherein the intraoperative electronic medical record is used to record the patient's preoperative and intraoperative treatment records;

[0040] The postoperative management module is configured to: obtain postoperative recovery data, update the intraoperative electronic medical record, generate a postoperative electronic medical record, generate a perioperative assessment report based on the postoperative electronic medical record, and determine a list of follow-up patients based on the perioperative assessment report; wherein the postoperative electronic medical record is used to record the patient's preoperative, intraoperative and postoperative treatment records, the perioperative assessment report is used to evaluate the patient's preoperative, intraoperative and postoperative treatment conditions, and the follow-up patient list is used to record patients who need to be followed up.

[0041] Beneficial effects: The perioperative management method and system based on multidimensional data of the present application realize efficient perioperative management by collecting, integrating and analyzing multidimensional data of patients; before the operation, an electronic medical record is generated by obtaining comprehensive information of the patient, and early warning information and precautions are generated accordingly to ensure that the patient is adequately prepared before the operation and reduce surgical risks; during the operation, the acquisition and analysis of vital signs data can update the electronic medical record in real time, allowing medical staff to fully understand the patient's condition and ensure the smooth progress of the operation; after the operation, the evaluation report generated based on the recovery data can accurately determine the list of follow-up patients, which is conducive to the rational allocation of medical resources and promotes patient recovery; the entire process is based on the management of multidimensional data, which solves the problems of data dispersion, inaccurate evaluation and low management efficiency in traditional perioperative management, and improves the quality and efficiency of perioperative medical services. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application 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 some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 A flowchart of a perioperative management method based on multidimensional data provided in an embodiment of the present application;

[0044] Figure 2 A structural block diagram of a perioperative management system based on multidimensional data provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0046] In this article, the term "comprising" is 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 includes 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 "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0047] The first aspect of this embodiment discloses Figure 1A perioperative management method based on multidimensional data is shown, the method comprising:

[0048] S1: Obtain patient information, generate preoperative electronic medical records, generate preoperative warning information based on preoperative electronic medical records, and push preoperative precautions based on the preoperative warning information; among which, the preoperative electronic medical records are used to record the patient's preoperative treatment records;

[0049] S2: Obtain and analyze intraoperative vital sign data, update preoperative electronic medical records, and generate intraoperative electronic medical records in real time; the intraoperative electronic medical records are used to record the patient's preoperative and intraoperative treatment records;

[0050] S3: Obtain postoperative recovery data, update intraoperative electronic medical records, generate postoperative electronic medical records, generate perioperative assessment reports based on postoperative electronic medical records, and determine the list of follow-up patients based on the perioperative assessment report; among them, the postoperative electronic medical records are used to record the patient's preoperative, intraoperative and postoperative treatment records, the perioperative assessment report is used to evaluate the patient's preoperative, intraoperative and postoperative treatment conditions, and the follow-up patient list is used to record the patients who need to be followed up.

[0051] Through the above, this embodiment utilizes the collection, integration and analysis of multi-dimensional patient data to achieve efficient perioperative management. Before the operation, an electronic medical record is generated by obtaining comprehensive patient information, and early warning information and push precautions are generated based on this to ensure that the patient is fully prepared before the operation and reduce surgical risks. During the operation, the acquisition and analysis of vital signs data can update the electronic medical record in real time, allowing medical staff to fully understand the patient's condition and ensure the smooth progress of the operation. After the operation, the evaluation report generated based on the recovery data can accurately determine the list of patients for follow-up visits, which helps to reasonably allocate medical resources and promote patient recovery. The entire process is based on the management of multi-dimensional data, which solves the problems of data dispersion, inaccurate evaluation and low management efficiency in traditional perioperative management, and improves the quality and efficiency of perioperative medical services.

[0052] Specifically, patient information includes at least the patient's basic information and medical history; among them, the basic information includes at least the patient's name, age, gender, contact information, and allergy history; the medical history includes at least the patient's previous medical history, family medical history, and medication history, and the patient information is updated in real time based on the hospital's medical database.

[0053] It should be noted that the medical database of this embodiment may be, but is not limited to, an existing hospital information system (HIS) and an electronic medical record system (EMR).

[0054] Based on the above, this embodiment utilizes the connection with the medical database to achieve real-time acquisition and update of patient information, providing a comprehensive data foundation for perioperative management.

[0055] Specifically, the process of generating preoperative warning information includes:

[0056] A1: Obtain the patient's new examination results, which at least include the results of blood tests, biochemical tests, and imaging tests;

[0057] A2: Obtain the patient's historical examination results;

[0058] A3: Risk assessment of new examination results based on preoperative electronic medical records. The specific risk assessment is:

[0059] Calculate the patient's predicted test results based on historical test results and preoperative electronic medical records;

[0060] The new test results are compared with the predicted test results to calculate the patient's preoperative warning level. When the preoperative warning level does not meet the preset preoperative warning threshold, the operation process of A1 to A3 is output and defined as preoperative warning information.

[0061] It is understandable that with the application of electronic medical records and big data technology, data mining based on complete examination records can be performed. Based on this, this embodiment uses a risk assessment formula to perform risk assessment on new examination results based on preoperative electronic medical records. The risk assessment formula is specifically:

[0062] RL=f S (ER n ,ER p )

[0063] Among them, ER n For new test results, ER p is the predicted inspection result, f S (ER n ,ER p ) indicates calculation of ER n and ER p The similarity can be obtained based on any existing similarity analysis method, RL is the calculated preoperative warning level; further, ER p =ER h *α, where ER h is the historical examination results of patients of the same type, α is the scaling weight set of the examination results obtained by fitting the historical examination results, based on the scaling weight set, this embodiment realizes the prediction of the patient's examination results and provides a data reference for risk assessment; based on this, using the common sense known to technical personnel in this field, the preoperative warning levels corresponding to different similarities are divided, thereby setting the preoperative warning threshold.

[0064] Based on the above, this embodiment realizes the generation of preoperative warning information based on the risk assessment formula, provides objective and scientific data reference for medical personnel to determine the patient's preoperative status, and provides a data basis for patients to understand their own preoperative status.

[0065] Specifically, preoperative precautions should at least include fasting and water restriction time, preoperative medication instructions, and a list of surgical preparation items.

[0066] In the actual perioperative period, preoperative precautions are often communicated to patients in the form of oral instructions from nurses or paper notices, which leads to information gaps in patients' understanding of their own preoperative precautions. This embodiment pushes corresponding preoperative precautions based on the obtained preoperative warning level, thereby overcoming the information gap and providing a good surgical foundation during the operation based on the highly completed preoperative precautions.

[0067] Specifically, the process of generating intraoperative electronic medical records includes:

[0068] B1: Obtaining vital signs data, which at least includes heart rate, blood pressure, blood oxygen saturation, and respiratory rate, and updating the vital signs data to the intraoperative electronic medical record;

[0069] B2: Extract features from vital signs data to obtain intraoperative features, which are used to characterize the patient's vital signs during surgery;

[0070] B3: Traverse the intraoperative features in the preset intraoperative feature database, which stores historical intraoperative features. Based on the comparison between the intraoperative features and the historical intraoperative features, calculate the intraoperative quality index, and update the intraoperative quality index to the intraoperative electronic medical record. The intraoperative quality index is used to characterize the quality of the surgery.

[0071] It should be noted that the intraoperative feature database of this embodiment is extracted based on intraoperative electronic medical records of patients of the same type and based on existing feature extraction technology. The historical intraoperative features in the intraoperative feature database provide data reference for analyzing the intraoperative characteristics of patients.

[0072] As a preferred implementation of this embodiment, this embodiment uses an intraoperative quality index calculation formula to calculate the intraoperative quality index, and the quality index calculation formula is specifically:

[0073] IOQI=RL*f S (IOF n , IOF h )

[0074] Among them, IOF n Intraoperative characteristics, IOF h are historical intraoperative features, RL and fS () is the same as the aforementioned risk assessment formula, IOQI is the calculated intraoperative quality index. This embodiment corrects the intraoperative characteristics based on the preoperative warning level and compares them with the historical intraoperative characteristics, thereby improving the data analysis of preoperative management and intraoperative management and providing accurate data reference for postoperative management.

[0075] Specifically, the intraoperative electronic medical record should also include at least the start time of the operation, the time points of key surgical operations, the use of surgical instruments, the use of intraoperative medications and the amount of intraoperative bleeding.

[0076] It should be noted that in the actual surgical process and postoperative summary, time-series-based surgical records are necessary. Therefore, in order to improve the practicality of intraoperative electronic medical records, this embodiment is designed to update the surgical records, thereby providing a data basis for doctors to make postoperative summaries and patients to understand their own surgical process.

[0077] Specifically, S2 also includes:

[0078] Based on the real-time generated intraoperative electronic records and combined with surgical process standards, the surgical progress is displayed in real time.

[0079] It is understandable that in existing surgical procedures, the patient's family members wait outside the operating room during the operation, and there is no corresponding information during the waiting process to let the patient's family members know the progress of the operation. To address this problem, this embodiment designs a comparison between the real-time generated intraoperative electronic medical records and the surgical process standards, thereby providing a data basis for the patient's family members to understand the progress of the operation, thereby alleviating the anxiety of the patient's family members, and the process is autonomously implemented based on data driving, without consuming additional medical resources.

[0080] Specifically, the process of generating a perioperative assessment report includes:

[0081] C1: Update the recovery data to the postoperative electronic medical records. The recovery data shall at least include the recovery of vital signs, wound healing, and postoperative complications;

[0082] C2: Compare the patient's postoperative electronic medical records with those of similar patients, and generate a perioperative assessment report based on the comparison results. The perioperative assessment report shall at least include the patient's recovery status and follow-up treatment recommendations. The follow-up treatment recommendations shall at least include whether a follow-up visit is needed or not.

[0083] In combination with actual perioperative management, it can be understood that the patient's recovery process presents cyclical characteristics before, during and after surgery. Based on this characteristic, this embodiment designs a perioperative assessment report. The perioperative assessment report is based on continuously updated electronic medical records (i.e., before, during and after surgery), combined with existing natural language technology and feature extraction technology, to compare the patient's perioperative period with the perioperative period of historical patients of the same type, thereby achieving a perioperative assessment that not only meets the patient's individual needs but also combines the common needs of the same type of perioperative period, providing a data basis for patients to connect their own recovery status and obtain subsequent treatment recommendations.

[0084] It should be noted that this embodiment uses common knowledge known to those skilled in the art to determine follow-up treatment recommendations. For example, corresponding wound healing thresholds and postoperative complication thresholds are formulated based on known wound healing conditions and postoperative complication occurrence conditions. When the recovery data does not meet the corresponding wound healing thresholds and / or postoperative complication thresholds, it is determined that a follow-up visit is required.

[0085] Specifically, the process of determining the list of patients for follow-up visits includes:

[0086] When the follow-up treatment recommendation in the perioperative evaluation report is that a follow-up visit is required, the patient will be included in the list of follow-up patients.

[0087] Based on the above, this embodiment provides a data reference for clarifying the patient's treatment plan based on the determination of the list of follow-up patients, thereby providing a data basis for optimizing the allocation of medical resources.

[0088] It is feasible that the perioperative management method based on multidimensional data of this embodiment can also be configured with a corresponding health education function. For example, in the preoperative push, content including fasting water, preoperative precautions, etc. can be pushed, such as fasting and drinking content pushed according to the scheduled operation time, skin care management content, psychological state management content, etc. These specific contents can be obtained according to the actual operation needs in the prior art and formed into corresponding forms such as text content or voice explanations and pushed to patients and their families. At the same time, content push can also be performed during the operation. At this time, the pushed content includes the corresponding item preparation, etc., or some corresponding sequential node steps in the operation formulated by doctors before the operation, etc. These contents can be pushed to the doctor team performing the operation in the form of a display screen to assist the operation. Finally, content push can also be performed after the operation. At this time, the pushed content includes corresponding postoperative care knowledge, etc. This knowledge can be formulated by the doctor according to the actual operation location, process, results, etc., and can be pushed to the patient and his family or nursing staff in the form of text content or voice explanations, so that the patient has clear guidance prompts in postoperative care.

[0089] The second aspect of this embodiment discloses Figure 2 A perioperative management system based on multidimensional data is shown, the system is applicable to the perioperative management method based on multidimensional data as described above, the system comprises a preoperative management module, an intraoperative management module and a postoperative management module which are sequentially connected in communication;

[0090] The preoperative management module is configured to: obtain patient information, generate preoperative electronic medical records, generate preoperative warning information based on preoperative electronic medical records, and push preoperative precautions based on preoperative warning information; wherein, the preoperative electronic medical records are used to record the patient's preoperative treatment records;

[0091] The intraoperative management module is configured to: obtain and analyze intraoperative vital sign data, update preoperative electronic medical records, and generate intraoperative electronic medical records; wherein, the intraoperative electronic medical records are used to record the patient's preoperative and intraoperative treatment records;

[0092] The postoperative management module is configured as follows: obtaining postoperative recovery data, updating intraoperative electronic medical records, generating postoperative electronic medical records, generating perioperative assessment reports based on postoperative electronic medical records, and determining a list of follow-up patients based on the perioperative assessment reports; among them, the postoperative electronic medical records are used to record the patient's preoperative, intraoperative and postoperative treatment records, the perioperative assessment reports are used to evaluate the patient's preoperative, intraoperative and postoperative treatment conditions, and the follow-up patient list is used to record patients who need follow-up visits.

[0093] It should be noted that the perioperative management system based on multidimensional data of this embodiment corresponds to the aforementioned perioperative management method based on multidimensional data. Therefore, the contents not specifically described in the perioperative management system based on multidimensional data of this embodiment may include but are not limited to functional definitions, working principles, and technical effects, etc., and may refer to the records of the aforementioned perioperative management method based on multidimensional data, and this text will not elaborate on them here.

[0094] In summary, the perioperative management method and system based on multidimensional data of this embodiment realizes efficient perioperative management by collecting, integrating and analyzing multidimensional data of patients; before the operation, an electronic medical record is generated by obtaining comprehensive information of the patient, and early warning information and precautions are generated accordingly to ensure that the patient is adequately prepared before the operation and reduce the risk of the operation; during the operation, the acquisition and analysis of vital signs data can update the electronic medical record in real time, so that medical staff can fully understand the patient's condition and ensure the smooth progress of the operation; after the operation, the evaluation report generated based on the recovery data can accurately determine the list of follow-up patients, which is conducive to the rational allocation of medical resources and promotes patient recovery; the entire process is based on the management of multidimensional data, which solves the problems of data dispersion, inaccurate evaluation and low management efficiency in traditional perioperative management, and improves the quality and efficiency of perioperative medical services.

[0095] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0096] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A perioperative management method based on multidimensional data, characterized in that: The method includes: S1: Acquire patient information, generate preoperative electronic medical records, generate preoperative warning information based on the preoperative electronic medical records, and push preoperative precautions based on the preoperative warning information; wherein the preoperative electronic medical records are used to record the patient's preoperative treatment records; S2: Obtain and analyze intraoperative vital sign data, update the preoperative electronic medical record, and generate an intraoperative electronic medical record in real time; wherein the intraoperative electronic medical record is used to record the patient's preoperative and intraoperative treatment records; S3: Obtain postoperative recovery data, update the intraoperative electronic medical record, generate a postoperative electronic medical record, generate a perioperative assessment report based on the postoperative electronic medical record, and determine a list of follow-up patients based on the perioperative assessment report; wherein, the postoperative electronic medical record is used to record the patient's preoperative, intraoperative and postoperative treatment records, the perioperative assessment report is used to evaluate the patient's preoperative, intraoperative and postoperative treatment conditions, and the follow-up patient list is used to record patients who need to be followed up.

2. The perioperative management method based on multidimensional data according to claim 1, characterized in that: The patient information includes at least the patient's basic information and medical history; wherein, the basic information includes at least the patient's name, age, gender, contact information, and allergy history; the medical history includes at least the patient's previous medical history, family medical history, and medication history; and the patient information is updated in real time based on the hospital's medical database.

3. The perioperative management method based on multidimensional data according to claim 1, characterized in that: The process of generating the preoperative warning information includes: A1: Obtain the patient's new examination results, which at least include the results of blood tests, biochemical tests, and imaging tests; A2: Obtain the patient's historical examination results; A3: Conduct risk assessment of new examination results based on the preoperative electronic medical records. The specific risk assessment is: Calculating a predicted examination result of the patient based on the historical examination results and the preoperative electronic medical record; The new test result is compared with the predicted test result to calculate the patient's preoperative warning level. When the preoperative warning level does not meet the preset preoperative warning threshold, the operation process of A1 to A3 is output and defined as preoperative warning information. The calculation of the patient's preoperative warning level is specifically as follows: The risk assessment formula is used to conduct risk assessment of new examination results based on preoperative electronic medical records. The specific risk assessment formula is: RL=f S (IS n ,IS p ) Among them, ER n For new test results, ER p is the predicted inspection result, f S (ER n ,ER p ) indicates calculation of ER n and ER p similarity, RL is the calculated preoperative warning level; and ER p =ER h *α, where ER h is the historical examination results of patients of the same type, and α is the scaling weight set of the examination results obtained by fitting based on the historical examination results.

4. The perioperative management method based on multidimensional data according to claim 1, characterized in that: The preoperative precautions include at least fasting and water restriction time, preoperative medication instructions, and a list of surgical preparation items.

5. The perioperative management method based on multidimensional data according to claim 1, characterized in that: The process of generating the intraoperative electronic medical record includes: B1: Acquire the vital signs data, which at least include heart rate, blood pressure, blood oxygen saturation, and respiratory rate, and update the vital signs data to the intraoperative electronic medical record; B2: extracting features from the vital signs data to obtain intraoperative features, where the intraoperative features are used to characterize the patient's vital signs during the operation; B3: Traverse the intraoperative features in a preset intraoperative feature database, which stores historical intraoperative features. Based on the comparison between the intraoperative features and the historical intraoperative features, calculate the intraoperative quality index, and update the intraoperative quality index to the intraoperative electronic medical record. The intraoperative quality index is used to characterize the quality of the surgery.

6. The perioperative management method based on multidimensional data according to claim 1, characterized in that: The intraoperative electronic medical record also includes at least the start time of the operation, key operation time points of the operation, the use of surgical instruments, the use of intraoperative medications and the amount of intraoperative bleeding.

7. The perioperative management method based on multidimensional data according to claim 1, characterized in that: S2 also includes: Based on the real-time generated intraoperative electronic medical records and combined with surgical process standards, the surgical progress is displayed in real time.

8. The perioperative management method based on multidimensional data according to claim 1, characterized in that: The process of generating the perioperative assessment report includes: C1: updating the recovery data to the postoperative electronic medical record, wherein the recovery data at least includes the recovery of vital signs, wound healing, and occurrence of postoperative complications; C2: Compare the patient's postoperative electronic medical records with those of similar patients, and generate a perioperative assessment report based on the comparison results. The perioperative assessment report at least includes the patient's recovery status and follow-up treatment recommendations. The follow-up treatment recommendations at least include whether a follow-up visit is needed or not.

9. The perioperative management method based on multidimensional data according to claim 8, characterized in that: The process of determining the list of patients for follow-up visits includes: When the follow-up treatment recommendation in the perioperative evaluation report is that a follow-up visit is required, the patient will be included in the follow-up patient list.

10. A perioperative management system based on multidimensional data, the system being applicable to the perioperative management method based on multidimensional data as claimed in any one of claims 1 to 9, characterized in that: The system includes a preoperative management module, an intraoperative management module and a postoperative management module which are sequentially communicatively connected; The preoperative management module is configured to: obtain patient information, generate preoperative electronic medical records, generate preoperative warning information based on the preoperative electronic medical records, and push preoperative precautions based on the preoperative warning information; wherein the preoperative electronic medical records are used to record the patient's preoperative treatment records; The intraoperative management module is configured to: obtain and analyze intraoperative vital sign data, update the preoperative electronic medical record, and generate an intraoperative electronic medical record; wherein the intraoperative electronic medical record is used to record the patient's preoperative and intraoperative treatment records; The postoperative management module is configured to: obtain postoperative recovery data, update the intraoperative electronic medical record, generate a postoperative electronic medical record, generate a perioperative assessment report based on the postoperative electronic medical record, and determine a list of follow-up patients based on the perioperative assessment report; wherein the postoperative electronic medical record is used to record the patient's preoperative, intraoperative and postoperative treatment records, the perioperative assessment report is used to evaluate the patient's preoperative, intraoperative and postoperative treatment conditions, and the follow-up patient list is used to record patients who need to be followed up.

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