Operation event spatio-temporal information error and omission repairing method and system

Abstract

The invention provides an operation event spatio-temporal information error and omission repairing method and system, and relates to the technical field of medical information management, and the method comprises the steps: obtaining an operating room standard operation process and operation event information; preprocessing the operation event information to obtain an event sequence; based on the operating room standard operation process, performing event spatio-temporal information missing condition analysis on the event sequence to obtain an event spatio-temporal information missing condition; and constructing a surgical equipment space mapping relationship, and according to the surgical equipment space mapping relationship and the event sequence, performing spatio-temporal information error and omission repair on the event spatio-temporal information missing condition to obtain a surgical event spatio-temporal information repair result. The method effectively improves the efficiency and accuracy of repairing the spatio-temporal information error and omission of the operation event, and effectively guarantees the efficient operation of an operating room and the safety of a patient.

Description

Technical Field

[0001] The present invention relates to the technical field of medical information management, and particularly relates to a method and system for repairing errors and omissions in the spatio-temporal information of surgical events. Background Art

[0002] With the continuous and stable growth of China's economy, the public's health awareness has been increasingly enhanced, and the demand for high-quality medical services is gradually rising. In this process, surgery, as a common medical treatment method in hospitals, has become increasingly prominent.

[0003] Currently, to ensure the smooth progress of surgeries and the safety of patients, the medical digitalization process has been accelerated, making the surgical anesthesia clinical information system (referred to as the anesthesia system) widely used in hospitals. The anesthesia system is mainly used to manage perioperative electronic medical records and anesthesia quality. This system not only shoulders the important task of electronic medical record and anesthesia quality management, but also records every key event during the surgery, which is crucial for the real-time monitoring of the surgical process, the refined management of the operating room, and the subsequent medical quality assessment. However, although the anesthesia system improves the convenience of information recording, in actual applications, anesthesiologists or nurses still inevitably make mistakes or omissions in recording the time and space information of surgical events. These errors and omissions not only reduce the operating efficiency of the operating room, but also may pose a potential threat to the safety of patients. To solve the above problems, the prior art discloses a method for repairing the spatio-temporal information of surgical events, but the repair of spatio-temporal information mainly relies on manual operations, such as repairing incorrect information by medical staff's recollection or referring to intraoperative video surveillance. This method not only has low repair efficiency, difficult-to-guarantee accuracy, high cost, but also can only be repaired after the event and cannot achieve real-time correction of incorrect information. This lag seriously restricts the operation management and user experience of the operating room. Summary of the Invention

[0004] To solve the problems of low efficiency and poor accuracy in repairing errors and omissions in the spatio-temporal information of surgical events in the above prior art, the present invention proposes a method and system for repairing errors and omissions in the spatio-temporal information of surgical events, which effectively improves the efficiency and accuracy of repairing errors and omissions in the spatio-temporal information of surgical events.

[0005] To achieve the above technical effects, the technical solution of the present invention is as follows:

[0006] 1. A method for repairing errors and omissions in the spatio-temporal information of surgical events, comprising the following steps:

[0007] S1. Obtain the standard operating process of the operating room and surgical event information;

[0008] S2. Preprocess the surgical event information to obtain an event sequence;

[0009] S3. Analyze the missing situation of event spatio-temporal information in the event sequence based on the standard operating process of the operating room to obtain the missing situation of event spatio-temporal information.

[0010] S4. Construct the spatial mapping relationship of surgical equipment, and based on the spatial mapping relationship of surgical equipment and the event sequence, repair the missing and incorrect spatio-temporal information in the missing situation of event spatio-temporal information to obtain the repaired result of surgical event spatio-temporal information.

[0011] Preferably, the standard operating process of the operating room includes operating room events, key events closely related to the surgical process and operation management in the operating room, and the time constraint relationship of key events.

[0012] Preferably, the surgical event information includes scheduling records, anesthesia records, nursing records, and anesthesia recovery records.

[0013] Preferably, the preprocessing of the surgical event information includes:

[0014] Remove duplicates from the surgical event information, standardize the timestamp format of the deduplication result, and after standardization, associate and integrate different records of the same surgery into an event set, and mark the event set as the event sequence.

[0015] Preferably, the analysis of the missing situation of event spatio-temporal information in the event sequence based on the standard operating process of the operating room includes:

[0016] S311. Define a list of essential events for each surgery according to the standard operating process of the operating room.

[0017] Compare the event sequence with the standard operating process of the operating room to obtain a comparison result, and mark the missing situation of event spatio-temporal information of each essential event in the list according to the comparison result. The missing situation of event spatio-temporal information includes the missing situation of time information and the missing situation of spatial information.

[0018] Preferably, the construction of the spatial mapping relationship of surgical equipment includes:

[0019] S411. Obtain the equipment numbers of all surgical equipment in the operating room center.

[0020] S412. Record the spatial position relationships of each surgical equipment fixedly installed in the pre-anesthesia room, each operating room, and the recovery room respectively.

[0021] S413. Based on the equipment numbers and the spatial position relationships, establish a mapping table for representing the spatial mapping relationship of surgical equipment.

[0022] Preferably, the spatio-temporal information error repair for the missing spatio-temporal information of the event includes spatial information error repair and temporal information error repair; the repair result of the spatio-temporal information of the surgical event includes the repair result of the spatial information of the surgical event and the repair result of the temporal information of the surgical event.

[0023] Preferably, the spatial information error repair for the missing spatio-temporal information of the event includes:

[0024] S421. Obtain the device number of the surgical device associated with the physiological sign data during the operation, and determine the spatial information where the operation time occurs according to the spatial mapping relationship of the surgical device corresponding to the device number, and fill in the missing spatial information to obtain the spatial information filling result;

[0025] S422. Check the rationality of the existing spatial records in the spatial information filling result, verify the continuity of the spatial transfer, and correct the unreasonable spatial information records to obtain the repair result of the spatial information of the surgical event.

[0026] Preferably, the temporal information error repair for the missing spatio-temporal information of the event includes:

[0027] S431. Analyze the event sequences of single-operation and multiple operations in the same operating room, establish an event time logic constraint matrix and an event sequence with the operating room as the main line respectively, and form time logic rules;

[0028] S432. Obtain the physiological sign data from the surgical device and convert the physiological sign data into a single-feature one-dimensional vector;

[0029] S433. Perform DBSCAN clustering analysis on the single-feature one-dimensional vector to obtain a clustering result;

[0030] S434. Use the clustering result to determine the start and end times of the space transfer event and the anesthesia event respectively, and perform space transfer event time repair and anesthesia event time repair respectively in combination with the time logic rules to obtain the space transfer event time repair result and the anesthesia event time repair result, and form the initial repair result of the temporal information of the surgical event with the space transfer event time repair result and the anesthesia event time repair result;

[0031] S435. Perform a time logic rationality check on the initial repair result of the temporal information of the surgical event to obtain a time logic rationality check passed result, and use the time logic rationality check passed result as the final repair result of the temporal information of the surgical event.

[0032] The present invention also proposes a system for repairing spatio-temporal information errors of surgical events, including:

[0033] An acquisition module, configured to acquire the standard operation process of the operating room and surgical event information;

[0034] A preprocessing module, configured to preprocess the surgical event information to obtain an event sequence;

[0035] An event spatio-temporal information missing situation analysis module, configured to analyze the event sequence for the missing situation of event spatio-temporal information according to the standard operation process of the operating room, so as to obtain the missing situation of event spatio-temporal information;

[0036] A surgical event spatio-temporal information repair module, configured to construct a spatial mapping relationship of surgical devices, and according to the spatial mapping relationship of surgical devices and the event sequence, repair the missing and incorrect spatio-temporal information of the event spatio-temporal information missing situation to obtain a surgical event spatio-temporal information repair result.

[0037] Compared with the prior art, the beneficial effects of the technical solution of the present invention are:

[0038] The present invention provides a method for repairing missing and incorrect spatio-temporal information of surgical events. First, by accurately acquiring the standard operation process of the operating room and surgical event information, and effectively preprocessing this information to form an ordered event sequence, then based on the standard operation process of the operating room, a detailed situation analysis is carried out on the event sequence to accurately identify the missing situation of event spatio-temporal information. Further, by using the constructed spatial mapping relationship of surgical devices and combining with the event sequence, the identified missing situation of event spatio-temporal information is repaired, thereby significantly improving the efficiency and accuracy of repairing the spatio-temporal information of surgical events, realizing the rapid positioning and accurate repair of the spatial information and time information of surgical events, and effectively ensuring the efficient operation of the operating room and the safety of patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A flowchart showing a method for repairing missing and incorrect spatio-temporal information of surgical events proposed in an embodiment of the present invention;

[0040] Figure 2 A logical relationship diagram of key events proposed in an embodiment of the present invention;

[0041] Figure 3 A diagram of the original surgical event record proposed in an embodiment of the present invention;

[0042] Figure 4 A diagram of the original record of surgical sign data proposed in an embodiment of the present invention;

[0043] Figure 5 A diagram showing the clustering result of surgical sign data and the extraction of boundary event times proposed in an embodiment of the present invention.

[0044] Figure 6It represents a structural block diagram of a surgical event spatio-temporal information error and omission repair system proposed in an embodiment of the present invention. Detailed implementation manners

[0045] The accompanying drawings are only for illustrative purposes and should not be construed as a limitation of this patent;

[0046] For those skilled in the art, it is understandable that some well-known content descriptions in the accompanying drawings may be omitted;

[0047] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0048] Embodiment 1

[0049] As Figure 1 shown, this embodiment proposes a method for repairing errors and omissions in surgical event spatio-temporal information. The method can be applied to any device or system, and the method includes the following steps:

[0050] S1. Obtain the standard operating procedures of the operating room and surgical event information;

[0051] In S1, through research on the anesthesia department and operating rooms of a specific hospital, the standard operating procedures of the operating room are obtained. The standard operating procedures of the operating room include operating room events, key events closely related to the surgical process and operation management in the operating room, and the time constraint relationships of key events, and also include the logical order of operating room events, where:

[0052] Each operating room event includes at least information such as patients, surgeons, anesthesiologists, nurses, occurrence time, and occurrence spatial location, etc.

[0053] The key events closely related to the surgical process and operation management in the operating room at least include: entering the pre-anesthesia room, starting anesthesia, leaving the pre-anesthesia room, entering the operating room, starting the operation, ending the operation, ending anesthesia, leaving the operating room, entering the recovery room, and leaving the recovery room. As Figure 2 shown, among them, the anesthesia start event may occur in the pre-anesthesia room or the operating room depending on the implementation situation, but this event only occurs once in one operating table.

[0054] The standard operating procedures of the operating room also include the time constraint relationships of each key event for subsequent determination of event time errors.

[0055] Retrieve surgical event information from the back-end database of the surgical anesthesia clinical information system. The surgical event information includes scheduling records, anesthesia records, nursing records, and anesthesia recovery records. Among them, the scheduling records at least include surgical patients, surgical dates, surgical types, operating room numbers, etc.; the anesthesia records at least include anesthesiologists, pre-anesthesia room information, anesthesia start time, and anesthesia end time, etc.; the nursing records at least include patient transfer time, patient's postoperative destination, etc.; the anesthesia recovery records at least include recovery room information, recovery observation records, in-and-out recovery room time, etc.

[0056] S2. Preprocess the surgical event information to obtain an event sequence.

[0057] In S2, the preprocessing of the surgical event information includes:

[0058] Since the same surgical event may come from multiple surgical records, duplicate removal is required for the surgical event information, that is, duplicate removal processing is needed for the information of the same event. At the same time, standardize the timestamp format of the duplicate removal result. Subtract the zero point of the surgical execution date from the event occurrence time to obtain the corresponding number of minutes. There is a possibility that this number of minutes is greater than 2160 (the number of minutes in a day), because a surgery scheduled on a certain surgical day may be postponed to the early morning of the next day due to efficiency reasons. After standardization, integrate different records of the same surgery into an event set, and mark the event set as the event sequence.

[0059] S3. Based on the standard operating process of the operating room, analyze the missing situation of event spatio-temporal information in the event sequence to obtain the missing situation of event spatio-temporal information.

[0060] In S3, the analysis of the missing situation of event spatio-temporal information in the event sequence based on the standard operating process of the operating room includes:

[0061] S311. Define a list of necessary events for each surgery according to the standard operating process of the operating room.

[0062] In S311, it is also necessary to formulate the logical constraint rules for the sequence of event times and establish the rationality rules for event space transfer. Among them, the logical constraint rules for the sequence of event times refer to that the occurrence time of surgical events generally needs to be executed according to the Figure 2 process relationship shown, and the occurrence time of the previous event is earlier than that of the subsequent event.

[0063] The rationality rules for event space transfer refer to that the space transfer relationship during the surgery must be from the pre-anesthesia room to the operating room and then to the recovery room. If a certain surgery does not need to go through the pre-anesthesia room and the recovery room, then appropriately delete this link.

[0064] S312. Compare the event sequence with the standard operating procedure of the operating room to obtain a comparison result. According to the comparison result, mark the missing situation of the event space-time information of each necessary event in the list. The missing situation of the event space-time information includes the missing situation of time information and the missing situation of space information. More specifically, each missing situation of the event space-time information can be classified into four categories: complete, time missing, space missing, and both time and space missing.

[0065] S4. Construct a spatial mapping relationship of surgical equipment. According to the spatial mapping relationship of the surgical equipment and the event sequence, repair the missing and incorrect space-time information of the event space-time information to obtain a repair result of the surgical event space-time information.

[0066] In S4, the construction of the spatial mapping relationship of surgical equipment includes:

[0067] S411. Obtain the equipment numbers of all surgical equipment in the center of the operating room; among them, the surgical equipment includes all monitors and ventilators;

[0068] S412. Record the spatial position relationships of each surgical equipment fixedly installed in the pre-anesthesia room, each operating room, and the recovery room respectively;

[0069] S413. Based on the equipment numbers and the spatial position relationships, establish a mapping table for representing the spatial mapping relationship of surgical equipment.

[0070] The repair of the missing and incorrect space-time information of the event space-time information includes the repair of the missing and incorrect space information and the repair of the missing and incorrect time information; the repair result of the surgical event space-time information includes the repair result of the surgical event space information and the repair result of the surgical event time information.

[0071] The repair of the missing and incorrect space information of the event space-time information includes:

[0072] S421. Obtain the equipment numbers of the monitors and ventilators associated with the vital sign data during the operation. According to the spatial mapping relationship of the surgical equipment corresponding to the equipment numbers, determine the spatial information where the operation time occurs, fill in the missing situation of the spatial information, and obtain a filling result of the spatial information;

[0073] S422. Check the rationality of the existing spatial records in the filling result of the spatial information, verify the continuity of the spatial transfer, and correct the unreasonable spatial information records in the same way as S421 to obtain a repair result of the surgical event space information.

[0074] The repair of the missing and incorrect time information of the event space-time information includes:

[0075] S431. Analyze the event sequences of single surgeries and multiple surgeries in the same operating room. Respectively establish an event time logic constraint matrix and an event sequence with the operating room as the main line, and form time logic rules;

[0076] Among them, the analysis of the event sequence of a single surgery specifically includes: establishing an event time logic constraint matrix, detecting the time records that violate the logic constraints for two consecutive events, and processing according to the confidence level of the event records:

[0077] If the hospital sets the event confidence level, retain the records with high confidence level, delete the time information of the records with low confidence level, and handle them as missing values;

[0078] If there is no confidence level set, delete all the time information of the conflicting events and handle them as missing values.

[0079] The analysis of the event sequence of multiple surgeries in the same operating room specifically includes: obtaining all the surgery records on the same operating day and in the same operating room, constructing an event sequence with the operating room as the main line, and the event sequence with the operating room as the main line will include: entering the operating room, starting anesthesia, starting surgery, ending surgery, ending anesthesia, and leaving the operating room events.

[0080] Analyze the time conflicts of the entering and leaving operating room events of adjacent surgeries, and handle special situations as follows:

[0081] When the time of leaving the operating room for the previous surgery is missing, use the end anesthesia time as a reference. When the time of entering the operating room for the next surgery is missing, use the start anesthesia or start surgery time as a reference, and so on;

[0082] Establish a minimum interval time constraint to ensure reasonable cleaning and disinfection time for the operating room.

[0083] S432. Obtain physiological sign data from surgical equipment and convert the physiological sign data into a single-feature one-dimensional vector;

[0084] Among them, S432 specifically includes:

[0085] Extract the blood oxygen (SpO2) or heart rate (Hr) data recorded by the monitor, and extract the end-tidal carbon dioxide partial pressure (EtCO2) or tidal volume (VT) data recorded by the ventilator;

[0086] Conduct preliminary noise reduction and outlier processing on the data. There are data ranges that meet medical standards for indicators such as blood oxygen, heart rate, end-tidal carbon dioxide partial pressure, and tidal volume. Delete the data points that exceed the value range.

[0087] Extract the timestamps of the vital sign data with a fixed sampling frequency for each operation as a one-dimensional feature vector. That is, similar to step S2, first subtract the zero point of the operation execution date from the timestamps of the vital sign data points to obtain the number of minutes corresponding to the timestamps, and combine the minutes into a single-feature one-dimensional vector.

[0088] S433. Perform DBSCAN clustering analysis on the single-feature one-dimensional vector to obtain a clustering result;

[0089] Among them, S433 specifically includes: input the single-feature one-dimensional vectors of different vital sign indicators into the DBSCAN clustering algorithm respectively, and perform clustering processing by optimizing the distance threshold and the minimum sample number parameter. In this embodiment, since the sampling frequency of the collected vital sign data is 1 per minute, after grid search for parameter tuning, the parameter combination with a distance threshold of 1 and a minimum sample number of 2 is finally adopted, which can meet the clustering analysis requirements of the above-mentioned vital sign data;

[0090] DBSCAN can discover outliers while clustering. For the clustering result, first remove the outliers;

[0091] According to the clustering result, perform corresponding category markings on the vital sign data points. Since DBSCAN clustering is an unsupervised algorithm, only categories can be distinguished according to the clustering result, and currently it is not possible to map the category results to the corresponding surgical operation processes, and further processing is required.

[0092] S434. Use the clustering result to respectively determine the start and end times of the space transfer event and the anesthesia event, and respectively perform space transfer event time repair and anesthesia event time repair in combination with the time logic rules to obtain the space transfer event time repair result and the anesthesia event time repair result, and form the initial surgical event time information repair result with the space transfer event time repair result and the anesthesia event time repair result;

[0093] In S434, the use of the clustering result to respectively determine the start and end times of the space transfer event and the anesthesia event, and respectively perform space transfer event time repair and anesthesia event time repair in combination with the time logic rules specifically includes:

[0094] Space transfer event time repair based on the vital sign data (blood oxygen or heart rate) of the monitor. The specific steps are as follows:

[0095] Surgical process identification: According to the surgical anesthesia type and the nursing execution mark, identify which type the surgical process belongs to: "pre-anesthesia - surgery - recovery", "surgery - recovery", "pre-anesthesia - surgery", or only "surgery". According to the surgical process type, it is possible to determine which space transfer events need to be repaired;

[0096] Establish a correspondence with the spatial position according to the number of clustering categories;

[0097] Extract the timestamps of the boundaries of each category (i.e., the earliest and latest timestamps), use the category boundary time as the time of the space transfer event, and apply time constraint rules for missing value repair. For example, for the surgical procedure type of "pre-anesthesia - surgery - recovery", use the boundary time of cluster category 1 as the repair value for entering and leaving the pre-anesthesia room.

[0098] Repair the anesthesia event time based on respiratory body sign data (end-tidal carbon dioxide partial pressure or tidal volume). The specific steps are as follows:

[0099] After removing outliers, identify the largest cluster category, extract the timestamps of the boundaries of this category, and determine the occurrence time points of anesthesia-related events;

[0100] Use the start and end times of this category as the anesthesia intubation and extubation times, verify the time logic relationship with other events, and repair the missing time values.

[0101] S435. Perform a time logic rationality check on the repair result of the initial surgical event time information to obtain a time logic rationality check passed result, and use the time logic rationality check passed result as the final repair result of the surgical event time information.

[0102] In S435, check the integrity of the repaired event sequence, further verify the time logic rationality of the repair result of the initial surgical event time information. If time information with event logic errors is found, loop through steps "S3 and S4" until no time conflict occurs; finally, generate the final repair result of the surgical event time information, that is, record the original missing and error information, record the repair process and repair results, and output the complete repaired surgical event sequence with each surgery as the main line.

[0103] Through the above technical solutions, the present invention realizes the automatic repair of errors and omissions in the spatio-temporal information of surgical events, improving the operating room management efficiency and data quality. This solution makes full use of the objective data generated by surgical equipment, combines data mining techniques, and realizes the intelligent repair of the spatio-temporal information of surgical events, with strong practicality and innovation. This method first accurately obtains the standard operating procedures of the operating room and surgical event information, and effectively preprocesses this information to form an ordered event sequence. Then, based on the standard operating procedures of the operating room, a detailed situation analysis of the event sequence is carried out to accurately identify the missing situation of event spatio-temporal information. Further, by using the constructed spatial mapping relationship of surgical equipment and combining with the event sequence, the identified missing situation of event spatio-temporal information is repaired, thus significantly improving the efficiency and accuracy of the repair of surgical event spatio-temporal information, realizing the rapid positioning and accurate repair of the spatial and time information of surgical events, and effectively ensuring the efficient operation of the operating room and the safety of patients.

[0104] In this embodiment, a method for repairing errors and omissions in the spatio-temporal information of surgical events proposed by the present invention has the following key technical points:

[0105] 1) The present invention first proposes an information repair method based on the spatial mapping of surgical devices. By establishing a fixed correspondence between surgical devices such as monitors and ventilators and spatial positions, rapid positioning and accurate repair of the spatial information of surgical events are achieved. This method of repairing spatial information based on physical device binding avoids the deviation that may occur in traditional manual memory.

[0106] 2) The present invention innovatively proposes a multi-level time information repair strategy: First, logical constraint analysis is performed from the perspective of the single-surgery event sequence; secondly, the temporal relationship verification is carried out from the overall perspective of multiple surgeries in the same operating room; finally, physiological sign data is used for objective verification. This progressive repair strategy significantly improves the accuracy of time information repair.

[0107] 3) The present invention first applies unsupervised clustering technology to the field of surgical spatio-temporal information repair. Through DBSCAN clustering analysis of physiological sign data, the automatic extraction and repair of the time of surgical space transfer events and anesthesia-related events are innovatively realized. This method makes full use of objective monitoring data and avoids the errors caused by subjective human judgment.

[0108] 4) The present invention innovatively proposes an event recognition method based on time series features. By analyzing the time series features of signs and respiration-related indicators, an objective criterion for determining the occurrence time of events is established. This method can not only accurately identify the occurrence time of events but also effectively reduce the influence of human recording deviation.

[0109] 5) The present invention proposes a complete integrated repair process design, which organically combines the repair of spatial and time information to form an automated and efficient repair solution. The organic combination of these technical points enables the present invention to achieve efficient and accurate repair of surgical spatio-temporal information, has important practical value and promotion significance, and can significantly improve the efficiency of operating room management.

[0110] These key technical points work together to form a complete method for repairing errors and omissions in surgical spatio-temporal information, which not only improves the accuracy and efficiency of repair but also reduces labor costs, and has important application value, application prospects and patent protection significance.

[0111] A method for repairing errors and omissions in the spatio-temporal information of surgical events proposed in this embodiment has the following advantages compared with the prior art:

[0112] 1) Improve the repair efficiency of the spatio-temporal information of surgical events. According to the statistical data of experiments on a certain Class-III Grade-A hospital, when the method of the present invention is used to repair the spatio-temporal information of surgical events, the information repair time for each surgery is shortened from 15 - 20 minutes in the traditional manual method to 1 - 2 minutes on average, and the repair efficiency is increased by more than 85%. This improvement in efficiency enables operation management personnel to obtain accurate surgical information faster, thereby improving the overall operation efficiency of the operating room.

[0113] 2) Optimize the repair quality of the spatio-temporal information of surgical events. Through device space mapping and multi-level time repair strategies, the root mean square error of the time information repair by the method of the present invention is controlled within about 10 minutes, while the root mean square error of the traditional manual recall method can reach up to 30 minutes.

[0114] 3) Reduce the labor cost of surgical information repair. The traditional method requires the joint participation of medical staff on the operating table or arranging staff to consult videos to complete information repair, while the method of the present invention only requires one information management personnel to confirm the results through automated analysis and repair, significantly reducing the labor cost. At the same time, the improvement of the integrity of surgical information provides a reliable data basis for the refined management of the operating room.

[0115] 4) Improve the real-time performance of information repair. The method of the present invention can perform information repair during the surgery through real-time collected monitoring data, no longer limited to post-operative repair. Most errors and omissions can be repaired within 30 - 60 minutes after the surgery, compared with the traditional method that requires T + 1 day or longer to complete the repair, and the timeliness is significantly improved.

[0116] 5) Provide an objective basis for information repair. The present invention provides an objective basis for determining the event time by analyzing the physiological sign data during the surgery, reducing the disputes among the medical staff in the operating room over the occupation of resources.

[0117] 6) Enhance the standardization of operating room management. The complete error and omission spatio-temporal information verification mechanism established by the present invention can provide standardized guidance for operating room management, which is conducive to improving the on-time rate of surgical scheduling execution and the turnover efficiency of the connecting operating rooms.

[0118] The above advantages are verified through comparative experiments, and the experimental data used come from the actual surgical records of a certain Class-III Grade-A hospital. These effects fully reflect the significant advantages of the present invention in improving the operating room management efficiency, reducing the labor cost, ensuring the data quality, etc., providing strong technical support for the refined management of the hospital operating room.

[0119] Example 2

[0120] This embodiment further describes the specific implementation process of a method for repairing errors and omissions in the spatio-temporal information of surgical events. Taking a certain surgical operation in a certain top-three hospital as an example, the implementation process of a method for repairing errors and omissions in the spatio-temporal information of surgical events proposed by the present invention is described in detail.

[0121] First, obtain the surgical event record of a general anesthesia surgical operation performed in operating room A on the afternoon of December 13, 2023. After analyzing the surgical process, the type of this surgical operation is a standard "pre-anesthesia - surgery - recovery" process operation, so it includes the following standard surgical events: entering the pre-anesthesia room, starting anesthesia, leaving the pre-anesthesia room, entering the operating room, starting the surgery, ending the surgery, ending anesthesia, leaving the operating room, entering the recovery room, and leaving the recovery room.

[0122] By querying the background database of the surgical anesthesia clinical information system, the surgical event record of this operation shows that the spatial information of this operation is complete and correct, but preliminary analysis finds the following problems in the time record of this surgical event: the times of entering the pre-anesthesia room and leaving the pre-anesthesia room are missing. The standard surgical process includes the following key events, such as Figure 3 :

[0123] Entering the pre-anesthesia room (Time: missing, Location: pre-anesthesia room)

[0124] Leaving the pre-anesthesia room (Time: missing, Location: pre-anesthesia room)

[0125] Entering the operating room (Time: 2023-12-13 16:38:00, Location: operating room A)

[0126] Starting anesthesia (Time: 2023-12-13 17:53:00, Location: operating room A)

[0127] Starting the surgery (Time: 2023-12-13 18:20:00, Location: operating room A)

[0128] Ending the surgery (Time: 2023-12-13 20:05:00, Location: operating room A)

[0129] Leaving the operating room (Estimated time: 2023-12-13 20:15:00, Location: operating room A)

[0130] Entering the recovery room (Estimated time: 2023-12-13 20:16:49, Location: recovery room)

[0131] Ending anesthesia (Estimated time: 2023-12-13 21:45:00, Location: operating room A)

[0132] Leaving the recovery room (Estimated time: 2023-12-13 21:45:00, Location: recovery room)

[0133] Next, perform information repair according to the following steps:

[0134] Analysis of the single-surgery event sequence: It is found that the time of entering and leaving the pre-anesthesia room events is missing, and the time of other events is temporarily normal in logical judgment;

[0135] Perform DBSCAN clustering analysis on the blood oxygen (SpO2) data recorded by the monitor. The clustering parameters are set as eps = 1 (minute) and min_samples = 2. The clustering results show that:

[0136] The data from 16:39 to 17:40 belongs to the first category, corresponding to the pre-anesthesia room stage

[0137] The data from 17:45 to 20:09 belongs to the second category, corresponding to the operating room stage

[0138] The data from 20:18 to 21:44 belongs to the third category, corresponding to the recovery room stage

[0139] Perform clustering analysis on the tidal volume (VT) data of the ventilator. The clustering parameters are also set as eps = 1 (minute) and min_samples = 2. The clustering results show that:

[0140] The data from 17:55 to 20:09 is the largest category after removing discrete points, corresponding to the anesthesia intubation and extubation stages

[0141] As Figure 4 shows the visualization results of the one-dimensional feature vector of the original physical sign data timestamp of this surgery, Figure 5 shows the one-dimensional feature vector, and the visualization results of the categories and boundary event times (dashed lines) obtained by applying DBSCAN clustering analysis respectively.

[0142] Based on the above analysis, complete the following time information repair:

[0143] The time of entering the pre-anesthesia room is repaired to 16:39

[0144] The time of leaving the pre-anesthesia room is repaired to 17:40

[0145] At the same time, add the anesthesia intubation and extubation times to the event sequence to further verify the time of the repaired operating table event sequence. It is found that there are the following problems with the time records of the surgical events: The time of entering the operating room (16:38) is earlier than the time of leaving the pre-anesthesia room (17:40). Since the time of leaving the pre-anesthesia room is repaired through physical sign data in the previous step and has a higher confidence level, the original time record of entering the operating room is deleted and further marked as a missing value.

[0146] Based on category 2 of the clustering results of the blood oxygen (SpO2) data recorded by the monitor, complete the following time information repair:

[0147] The time of entering the operating room is repaired to 17:45

[0148] Verify and evaluate the time of the repaired operating table event sequence. No other errors and missing time and space information are found. The repair is completed, and the completed surgical event sequence is output.

[0149] Through the application of this method, the time information of entering the pre-anesthesia room, leaving the pre-anesthesia and entering the operating room during the operation is successfully repaired, ensuring the accuracy and integrity of the surgical event records.

[0150] Embodiment 3

[0151] See Figure 6 , this embodiment proposes a surgical event spatio-temporal information error and omission repair system, including:

[0152] An acquisition module, configured to acquire the standard operating process of the operating room and surgical event information;

[0153] A preprocessing module, configured to preprocess the surgical event information to obtain an event sequence;

[0154] An event spatio-temporal information missing situation analysis module, configured to analyze the event spatio-temporal information missing situation of the event sequence according to the standard operating process of the operating room to obtain the event spatio-temporal information missing situation;

[0155] A surgical event spatio-temporal information repair module, configured to construct a spatial mapping relationship of surgical equipment, and according to the spatial mapping relationship of surgical equipment and the event sequence, repair the spatio-temporal information error and omission of the event spatio-temporal information missing situation to obtain a surgical event spatio-temporal information repair result.

[0156] In this embodiment, by combining the standard surgical workflow with physiological monitoring data analysis, the time and space information in the surgical event records are automatically corrected and supplemented, thereby improving the operating room management efficiency and ensuring patient safety; a surgical event spatio-temporal information error and omission repair system proposed in this embodiment first accurately acquires the standard operating process of the operating room and surgical event information, and effectively preprocesses these information to form an ordered event sequence, and then conducts a detailed situation analysis on the event sequence based on the standard operating process of the operating room to accurately identify the event spatio-temporal information missing situation, and further uses the constructed spatial mapping relationship of surgical equipment, combined with the event sequence, to repair the identified event spatio-temporal information missing situation, thereby significantly improving the efficiency and accuracy of surgical event spatio-temporal information repair, realizing the rapid positioning and accurate repair of surgical event space information and time information, and effectively ensuring the efficient operation of the operating room and patient safety.

[0157] Obviously, the above embodiments of the present invention are only examples for clearly illustrating the present invention, rather than limitations on the implementation manners of the present invention. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all implementation manners here. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the claims of the present invention.

Claims

1. A method for repairing errors and omissions in spatiotemporal information of surgical events, characterized in that: The following steps are involved: S1. Obtain standard operating procedures and surgical event information of the operating room; S2. Preprocessing the surgical event information to obtain an event sequence; S3. Based on the standard operating procedures of the operating room, the event sequence is analyzed for missing event spatiotemporal information to obtain missing event spatiotemporal information; S4. Construct a spatial mapping relationship of surgical equipment, and repair the missing spatial and temporal information of the event according to the spatial mapping relationship of surgical equipment and the event sequence, to obtain a spatial and temporal information repair result of the surgical event.

2. The method for repairing errors and omissions in spatiotemporal information of surgical events according to claim 1, characterized in that: The standard operating process of the operating room includes operating room events, key events in the operating room that are closely related to the surgical process and operation management, and the time constraint relationship between the key events.

3. The method for repairing errors and omissions in spatiotemporal information of surgical events according to claim 1, characterized in that: The surgical event information includes scheduling records, anesthesia records, nursing records and anesthesia recovery records.

4. The method for repairing errors and omissions in spatiotemporal information of surgical events according to claim 1, characterized in that: The preprocessing of the surgical event information includes: The surgical event information is deduplicated, the timestamp format of the deduplication result is standardized, and after standardization, different records of the same surgery are associated and integrated into an event set, and the event set is marked as the event sequence.

5. The method for repairing errors and omissions in spatiotemporal information of surgical events according to claim 1, characterized in that: The analyzing the event sequence for missing event spatiotemporal information based on the standard operating process of the operating room includes: S311. According to the standard operating procedures of the operating room, define a list of necessary events for each operation; S312. Compare the event sequence with the standard operating process of the operating room to obtain a comparison result, and mark the missing event time and space information of each necessary event for the operation in the list according to the comparison result. The missing event time and space information includes missing time information and missing space information.

6. The method for repairing errors and omissions in spatiotemporal information of surgical events according to claim 1, characterized in that: The constructing of the surgical equipment space mapping relationship includes: S411. Obtain the equipment numbers of all surgical equipment in the operating room center; S412. Record the spatial position relationship of each surgical equipment fixedly installed in the pre-anesthesia room, each operating room, and the recovery room; S413. Based on the equipment number and the spatial position relationship, establish a mapping table for representing the spatial mapping relationship of surgical equipment.

7. The method for repairing errors and omissions in spatiotemporal information of surgical events according to claim 6, characterized in that: The spatiotemporal information error and omission repair of the event spatiotemporal information missing situation includes spatial information error and omission repair and temporal information error and omission repair; the spatiotemporal information repair result of the surgical event includes the spatial information repair result of the surgical event and the temporal information repair result of the surgical event.

8. The method for repairing errors and omissions in spatiotemporal information of surgical events according to claim 7, characterized in that: Repair the spatial information errors and omissions for the missing spatiotemporal information of the event, including: S421. Obtain the device number of the surgical device associated with the vital sign data during the operation, determine the spatial information of the operation time according to the spatial mapping relationship of the surgical device corresponding to the device number, fill in the missing spatial information, and obtain the spatial information filling result; S422. Check the rationality of the existing spatial records in the spatial information filling result, verify the continuity of the spatial transfer, correct the unreasonable spatial information records, and obtain the surgical event spatial information repair result.

9. The method for repairing errors and omissions in spatiotemporal information of surgical events according to claim 7, characterized in that: Repair the missing time information of the event, including: S431. Analyze the event sequence of a single operation and multiple operations in the same operating room, respectively establish an event time logic constraint matrix and an event sequence with the operating room as the main line, and form a time logic rule; S432. Acquire physiological sign data from the surgical device, and convert the physiological sign data into a single-feature one-dimensional vector; S433. Perform DBSCAN cluster analysis on the single-feature one-dimensional vector to obtain a clustering result; S434. Using the clustering results, respectively determine the start and end time of the spatial transfer event and the anesthesia event, and respectively perform time repair of the spatial transfer event and the anesthesia event in combination with the time logic rule, to obtain a time repair result of the spatial transfer event and a time repair result of the anesthesia event, and combine the time repair result of the spatial transfer event and the time repair result of the anesthesia event to form an initial surgical event time information repair result; S435. Perform a time logic rationality check on the initial surgical event time information repair result to obtain a time logic rationality check pass result, and use the time logic rationality check pass result as the final surgical event time information repair result.

10. A system for repairing errors and omissions in spatiotemporal information of surgical events, characterized in that: include: An acquisition module is used to obtain the standard operating procedures of the operating room and surgical event information; A preprocessing module, used for preprocessing the surgical event information to obtain an event sequence; An event spatiotemporal information missing situation analysis module is used to analyze the event spatiotemporal information missing situation of the event sequence according to the standard operation process of the operating room to obtain the event spatiotemporal information missing situation; The surgical event spatiotemporal information repair module is used to construct a spatial mapping relationship of surgical equipment, and to repair the spatiotemporal information errors and omissions of the event spatiotemporal information according to the spatial mapping relationship of surgical equipment and the event sequence, so as to obtain the surgical event spatiotemporal information repair result.

Images