Hospital accompanying supervision method, system and device and storage medium

Abstract

The invention provides a hospital accompanying supervision method, system and device and a storage medium, and relates to the technical field of medical services, and the method comprises the steps: receiving a nursing request sent by a target terminal of a target patient, the nursing request comprising a nursing type and a first position of the target patient; candidate nurses of the corresponding nursing types are selected from the multiple nurses; according to the end time of the current nursing task of each candidate nurse and the second position, calculating a first duration required by each candidate nurse to arrive at the first position, and according to the first duration, generating a first nursing score; acquiring disease information of a nursed patient of each candidate nurse within a preset duration, determining an influence index of each candidate nurse on the target patient according to the disease information, and generating a second nursing score according to the influence index; and in combination with the first nursing score and the second nursing score, determining a target score of each candidate nurse. The technical effect of the invention is that the quality of nursing service is improved.

Description

Technical Field

[0001] This application relates to the technical field of medical services, and particularly to a hospital escort supervision method, system, device, and storage medium. Background Art

[0002] With the development of social economy and the continuous increase in medical service demands, the demand for escorts during hospitalization is also rising. Especially for patients who require special care, such as those who need postoperative care, intensive care, or are unable to take care of themselves, how to quickly and effectively match suitable caregivers for patients has become an important technical issue in the current hospital escort service field.

[0003] Currently, hospitals usually use a nursing management system to allocate caregivers. This system mainly makes a simple match based on the type of nursing needs and the working status of caregivers. Although it meets the nursing needs of patients to a certain extent, in actual operation, it only focuses on the availability of caregivers and ignores the potential health and safety hazards that may exist during the nursing process. This single-dimensional management model is difficult to ensure the quality of nursing services. Summary of the Invention

[0004] This application provides a hospital escort supervision method, system, device, and storage medium for improving the quality of nursing services.

[0005] In a first aspect, this application provides a hospital escort supervision method, which includes: receiving a nursing request sent by a target terminal of a target patient, where the nursing request includes the type of nursing and the first location of the target patient; selecting candidate caregivers corresponding to the type of nursing from multiple caregivers; obtaining the end time of the current nursing tasks of each candidate caregiver and the second location of each candidate caregiver, and combining the end time and the second location to calculate the first duration required for each candidate caregiver to reach the first location, and generating a first nursing score for each candidate caregiver according to the first duration; obtaining the disease information of the patients already nursed by each candidate caregiver within a preset duration, determining the influence index of each candidate caregiver on the target patient according to the disease information, and generating a second nursing score for each candidate caregiver according to the influence index; combining the first nursing score and the second nursing score to determine the target score of each candidate caregiver; and sending the personnel information of the candidate caregivers with a target score greater than the preset score to the target terminal, so that the target patient can select a target caregiver according to the personnel information.

[0006] By adopting the above technical solution, based on the current task end time and location information of the caregiver, the duration required for the caregiver to reach the location of the target patient is calculated and converted into the first nursing score, ensuring the timeliness of nursing response. At the same time, by analyzing the disease information of the patients contacted by the caregiver within a preset duration, the potential health impact on the target patient is evaluated, and the second nursing score is generated, effectively reducing the risk of cross-infection. Finally, the system combines the scores from the two dimensions to form the target score, and screens out the caregivers with qualified scores for the patient to choose, which not only ensures the timeliness of nursing services, but also guarantees the health and safety of the patient, improving the quality of nursing services.

[0007] Optionally, the generating the first nursing score for each of the candidate caregivers according to the first duration includes: obtaining a preset maximum waiting duration, and determining a duration coefficient by taking the ratio of the first duration to the maximum waiting duration; obtaining a preset reference score, and determining the difference between the reference score and the duration coefficient as the first nursing score for each of the candidate caregivers.

[0008] By adopting the above technical solution, the duration coefficient is obtained by calculating the ratio of the first duration to the maximum waiting duration, and then the first nursing score is obtained by subtracting the duration coefficient from the reference score, so that the caregiver with a shorter response time gets a higher score. This scoring method not only realizes the accurate quantification of the nursing response time, but also establishes an upper limit for the score by setting the reference score, ensuring the rationality and comparability of the score results, thus providing reliable data support for the subsequent screening of caregivers.

[0009] Optionally, the disease information includes the type of the first disease and the first degree of illness of the first disease. The determining the influence index of each of the candidate caregivers on the target patient according to the disease information includes: obtaining the type of the second disease of the target patient and the second degree of illness of the second disease; obtaining the first influence coefficient of the first disease on the second disease from the disease infection relationship database; obtaining the contact duration between each of the candidate caregivers and the already cared patients, and determining an influence factor according to the contact duration, where the influence factor increases with the increase of the contact duration; arithmetically multiplying the influence factor by the first influence coefficient to obtain a second influence coefficient; and adjusting the second influence coefficient according to the first degree of illness and the second degree of illness to determine the influence index of each of the candidate caregivers on the target patient.

[0010] By adopting the above technical solution, the basic influence coefficients between different diseases are obtained from the disease transmission relationship database, and then the influence factor is calculated by combining the actual contact duration between the nursing staff and the patients they have nursed. The preliminary influence assessment is obtained through the product of these two parameters. Further, the system also takes into account the specific severity of the patients' diseases and dynamically adjusts the influence coefficients to finally obtain a more accurate influence index. This multi-dimensional assessment mechanism not only considers the mutual influence relationship between diseases, but also incorporates actual situations such as contact duration and disease severity into the calculation scope, thus more comprehensively evaluating the potential health and safety risks and providing a scientific basis for the reasonable allocation of nursing staff.

[0011] Optionally, the adjusting the second influence coefficient according to the first disease severity and the second disease severity to determine the influence index of each candidate caregiver on the target patient includes: obtaining a first severity coefficient corresponding to the first disease severity and a second severity coefficient corresponding to the second disease severity; arithmetically multiplying the first severity coefficient and the second severity coefficient to obtain an adjustment coefficient; arithmetically multiplying the adjustment coefficient and the second influence coefficient to obtain the influence index of each candidate caregiver on the target patient.

[0012] By adopting the above technical solution, the first disease severity and the second disease severity are respectively converted into corresponding severity coefficients, the adjustment coefficient is obtained through the product of the two severity coefficients, and then multiplied by the second influence coefficient to finally obtain a more accurate influence index. This dynamic adjustment method based on disease severity enables the system to more accurately reflect the health and safety risks under different disease severities, taking into account both the impact of the disease severity of the patients already nursed on the nursing staff and the disease sensitivity of the target patient, thus achieving a more precise risk assessment and providing a more reliable decision-making basis for the safe allocation of nursing staff.

[0013] Optionally, the generating the second nursing score of each candidate caregiver according to the influence index includes: obtaining a preset maximum influence index, and determining the ratio of the influence index to the maximum influence index as the target influence coefficient; obtaining a preset reference score, and determining the product of the reference score and the target influence coefficient as the second nursing score of each candidate caregiver.

[0014] By adopting the above technical solution, a ratio operation is performed on the calculated influence index and a preset maximum influence index to obtain a standardized target influence coefficient, and then this coefficient is multiplied by a reference score to obtain a second nursing score. This score conversion method not only realizes a reasonable mapping from the influence index to the nursing score, but also establishes a score boundary by setting the maximum influence index and the reference score, ensuring the controllability and comparability of the score results. At the same time, since the larger the influence index, the higher the risk, after this conversion, the final nursing score can intuitively reflect the safety fitness of the nursing staff, making the score result more valuable for practical applications.

[0015] Optionally, determining the target score of each candidate caregiver by combining the first nursing score and the second nursing score includes: obtaining a first weight corresponding to the first nursing score and a second weight corresponding to the second nursing score; wherein, the sum of the first weight and the second weight is 1; arithmetically multiplying the first nursing score by the first weight to obtain a first target score; arithmetically multiplying the second nursing score by the second weight to obtain a second target score, and arithmetically adding the first target score and the second target score to obtain the target score of each candidate caregiver.

[0016] By adopting the above technical solution, the system sets weights for the first nursing score and the second nursing score respectively and ensures that the sum of the weights is 1, and obtains the final target score through weighted calculation. This weight-based score fusion method not only ensures the relative independence of the timeliness score and the safety score, but also realizes a reasonable balance between the two dimensions, making the final target score able to comprehensively reflect the comprehensive service ability of the nursing staff. At the same time, by adjusting the weight ratio, the system can flexibly adjust the emphasis on timeliness and safety according to actual needs, improving the adaptability and practicality of the scoring mechanism.

[0017] Optionally, after sending the personnel information of the candidate caregiver whose target score is greater than the preset score to the target terminal, it further includes: receiving a selection instruction sent by the target terminal, where the selection instruction includes the identification information of the target caregiver; obtaining the historical nursing evaluation of the target caregiver according to the identification information, and sending the historical nursing evaluation to the target terminal.

[0018] By adopting the above technical solution, after receiving the selection instruction sent by the target terminal, the historical care evaluation of the target caregiver is obtained according to the identification information of the target caregiver and fed back to the target terminal, enabling the patient to understand the past service performance of the target caregiver. This supplementary information mechanism based on historical data not only provides patients with a more comprehensive decision-making basis, enhances the reliability of caregiver selection, but also improves the credibility of the entire selection process through the transparent display of historical service evaluations, thereby helping patients make more targeted selections and further optimizing the allocation effect of nursing resources.

[0019] In a second aspect, the present application provides a hospital escort supervision system, which includes: a receiving module, a selection module, a first acquisition module, a second acquisition module, a combination module, and a sending module; wherein, the receiving module is configured to receive a care request sent by the target terminal of the target patient, and the care request includes the type of care and the first location of the target patient; the selection module is configured to select candidate caregivers corresponding to the type of care from multiple caregivers; the first acquisition module is configured to acquire the end time of the current care tasks of each candidate caregiver and the second location of each candidate caregiver, combine the end time and the second location, calculate the first duration required for each candidate caregiver to reach the first location, and generate the first care score of each candidate caregiver according to the first duration; the second acquisition module is configured to acquire the disease information of the patients already cared for by each candidate caregiver within a preset duration, determine the influence index of each candidate caregiver on the target patient according to the disease information, and generate the second care score of each candidate caregiver according to the influence index; the combination module is configured to combine the first care score and the second care score to determine the target score of each candidate caregiver; the sending module is configured to send the personnel information of the candidate caregivers whose target scores are greater than the preset score to the target terminal, so that the target patient can select a target caregiver according to the personnel information.

[0020] In a third aspect, the present application provides an electronic device, adopting the following technical solution: including a processor, a memory, a user interface, and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory, so that the electronic device executes a computer program of any one of the above hospital escort supervision methods.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, adopting the following technical solution: storing a computer program that can be loaded and executed by a processor to execute any one of the above hospital escort supervision methods.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: Based on the current task end time and location information of the caregiver, calculate the duration required for the caregiver to reach the location of the target patient and convert it into the first nursing score, ensuring the timeliness of the nursing response; at the same time, by analyzing the disease information of the patients the caregiver has come into contact with within the preset duration, evaluate the potential health impact on the target patient and generate the second nursing score, effectively reducing the risk of cross-infection. Finally, the system comprehensively forms the target score from the scores of the two dimensions and screens out the caregivers who meet the standard for the patient to choose, which not only ensures the timeliness of the nursing service but also ensures the health and safety of the patient, improving the quality of the nursing service. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a schematic flowchart of a hospital escort supervision method provided by an embodiment of the present application; Figure 2 is a schematic structural diagram of a hospital escort supervision system provided by an embodiment of the present application; Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

[0024] Description of the reference numerals: 1000, electronic device; 1001, processor; 1002, communication bus; 1003, user interface; 1004, network interface; 1005, memory. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments.

[0026] In the description of the embodiments of the present application, words such as "exemplary", "for example" or "for illustration" are used to indicate examples, illustrations or explanations. Any embodiment or design solution described as "exemplary", "for example" or "for illustration" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, the use of words such as "exemplary", "for example" or "for illustration" is intended to present the relevant concepts in a specific manner.

[0027] Figure 1 is a schematic flowchart of a hospital escort supervision method provided by an embodiment of the present application. As Figure 1 shown, the method includes S101 - S106: S101, receive a nursing request sent by the target terminal of the target patient, where the nursing request includes the type of nursing and the first location of the target patient.

[0028] In this embodiment, it is necessary to monitor the nursing needs of the target patient in real time and respond promptly. Specifically, the target patient can send a nursing request to the hospital's nursing management system through the mobile device (i.e., the target terminal, such as a smartphone, tablet computer, etc.) used by the patient. This nursing request mainly includes two key pieces of information: the type of nursing and the first location of the target patient. Among them, the type of nursing is used to characterize the specific type of nursing service required by the target patient at present, and can include, for example, but not limited to, life care, condition observation, rehabilitation training, psychological counseling, etc.; the first location is used to indicate the specific location information where the target patient is currently located, which can be a specific area within the hospital (such as a certain ward area in the inpatient department, a certain ward number, etc.), or precise geographical coordinate information such as longitude and latitude.

[0029] The target terminal can send the nursing request to the server of the nursing management system through communication methods such as the mobile communication network and the hospital's internal wireless network. The nursing request can be encapsulated in a preset data format, such as JSON format, which contains a nursing type field and a location information field. The target terminal can also automatically obtain the first location information by calling the positioning function of the device (such as GPS positioning, indoor positioning, etc.), thereby reducing the operation burden of manual input by the patient.

[0030] By receiving and parsing these nursing request information, the nursing management system can accurately grasp the nursing needs and location information of the target patient, and these information will be used as an important basis for selecting appropriate nursing staff subsequently. This method of sending requests based on mobile terminals not only facilitates patients to put forward nursing needs at any time and place, but also ensures the accuracy of location information, laying a foundation for subsequent intelligent matching. At the same time, this standardized request format is also conducive to the system for automated processing, improving the efficiency of nursing demand response.

[0031] S102, select candidate nursing staff corresponding to the type of nursing from multiple nursing staff.

[0032] After obtaining the nursing request of the target patient, in order to ensure the professionalism and pertinence of the nursing service, the system needs to conduct a preliminary screening from the hospital's nursing staff database. Specifically, the system will first access the nursing staff database, which stores the basic information of all nursing staff, including their professional skills, service types, qualification levels and other attribute information. The system matches the nursing staff with the corresponding nursing qualifications according to the type of nursing in the nursing request and includes them in the list of candidate nursing staff.

[0033] For example, when the type of care requested by the target patient is "rehabilitation training", the system will first screen out caregivers who have a rehabilitation care qualification certificate or relevant professional training experience. This initial screening mechanism based on the type of care can ensure that the candidate caregivers have the basic ability to complete the corresponding care tasks. It should be noted that caregivers may have qualifications for multiple types of care services, so a caregiver may appear on the candidate lists for different types of care.

[0034] During the screening process, the system will also consider the current status of the caregivers. Specifically, the system will exclude caregivers who are currently on leave, off-duty, in training, or in other states where they cannot provide services, and only retain those who are on duty and can accept new tasks. This dynamic screening mechanism can ensure the actual availability of candidate caregivers and avoid invalid matches.

[0035] Through this multi-dimensional screening method, the system can establish a preliminary list of candidate caregivers. These candidate caregivers not only meet the care needs of the target patient in terms of professional qualifications but also have actual service capabilities. This pre-screening mechanism can significantly improve the efficiency of subsequent precise matching, avoid including caregivers who do not have the corresponding qualifications or cannot provide services in the scoring range, thereby saving system resources and improving the accuracy of matching.

[0036] In practical applications, the system will regularly update the status information of caregivers and can set reasonable screening rules according to the specific situation of the hospital. For example, a maximum daily service limit for caregivers can be set. When the limit is reached, the caregiver will automatically be removed from the candidate list to ensure service quality and a reasonable workload for caregivers. At the same time, the system can also adjust the screening scope of candidate caregivers according to the urgency of the type of care. For urgent care needs, the screening conditions can be appropriately relaxed to ensure a timely response to the care needs of patients.

[0037] S103, obtain the end time of the current care tasks of each candidate caregiver and the second location of each candidate caregiver. Combine the end time and the second location to calculate the first duration required for each candidate caregiver to reach the first location. Generate the first care score for each candidate caregiver based on the first duration.

[0038] After determining the list of candidate caregivers, to better evaluate the actual accessibility of each candidate caregiver, the system needs to comprehensively consider their current working status and location information. Specifically, the system first accesses the task management database to obtain the information of the care tasks currently being executed by each candidate caregiver, including the estimated end time of the current task. Here, the end time refers to the time point required for the caregiver to complete the current care task, which can be estimated based on the type of care task and historical data. At the same time, the system also obtains the second location of each candidate caregiver in real time, that is, the specific location information where they are currently located, which can be achieved through the positioning function of the mobile terminal carried by the caregiver.

[0039] After obtaining the above basic information, the system needs to calculate the first duration required for each candidate caregiver to reach the first location where the target patient is located. The specific calculation process is as follows: First, the system calculates the shortest path from the current location (second location) of the candidate caregiver to the location of the target patient (first location) according to the electronic map data of the hospital. This path planning takes into account the actual layout of the hospital, including the distribution of facilities such as corridors, elevators, and stairs. Then, the system combines the path distance with the average walking speed of the caregiver to calculate the theoretical required time. If the candidate caregiver is currently performing other care tasks, the first duration also needs to add the remaining time of the current task, that is, the time interval from the current moment to the end time.

[0040] To convert the first duration into a comparable scoring metric, the system adopts a duration-based scoring mechanism to generate the first care score. Specifically, the system sets a preset maximum waiting duration as a benchmark, and uses the ratio of the first duration to the maximum waiting duration as the basis for scoring. When the first duration is shorter, it means that the caregiver can respond to the patient's needs more quickly, and the corresponding first care score is higher. This scoring mechanism can effectively balance the spatio-temporal distribution of care resources, preferentially select caregivers who can arrive faster, and thus improve the response efficiency of care services.

[0041] It should be noted that when calculating the first duration, the system also considers special situations in the hospital, such as lunch break time, shift change time, etc., which may affect the actual arrival time. At the same time, the system also appropriately adjusts the theoretical duration according to the population density in different periods to improve the accuracy of the estimate.

[0042] Based on the above embodiments, as an alternative implementation, in S103, generating the first care score for each candidate caregiver according to the first duration specifically includes S31 - S32: S31, obtain the preset maximum waiting duration, and determine the ratio of the first duration to the maximum waiting duration as the duration coefficient.

[0043] S32. Obtain the preset benchmark score, and determine the first nursing score of each candidate caregiver by taking the difference between the benchmark score and the duration coefficient.

[0044] To convert the arrival time of caregivers into a standardized scoring metric, the system adopts a scoring calculation method based on the maximum waiting duration. Specifically, the system first sets a preset maximum waiting duration according to the hospital's service standards and the acceptable waiting level of patients. This maximum waiting duration represents the upper limit requirement of the hospital for the nursing response time. For example, it can be set to specific values such as 30 minutes or 60 minutes. The setting of this duration needs to comprehensively consider the actual situations such as the scale, layout, and personnel configuration of the hospital, ensuring both service quality and feasibility.

[0045] After obtaining the maximum waiting duration, the system calculates the ratio of the calculated first duration (i.e., the time required for the candidate caregiver to reach the target patient's location) to the maximum waiting duration to obtain the duration coefficient. This duration coefficient actually reflects the proportion of the actual response time of the candidate caregiver relative to the allowed maximum waiting time. For example, if the maximum waiting duration is set to 30 minutes and the first duration of a candidate caregiver is 15 minutes, the corresponding duration coefficient is 0.5, indicating that the caregiver's response time is at an ideal level.

[0046] To convert the duration coefficient into a scoring value that is easy to understand and use, the system sets a preset benchmark score, which represents the full score value for the time dimension scoring. For example, it can be set to 100 points. By calculating the difference between the benchmark score and the duration coefficient, the first nursing score of the candidate caregiver can be obtained. This calculation method ensures an inverse relationship between the score and the response time, that is, the shorter the response time, the higher the final score obtained.

[0047] Specific calculation example: Assume that the system sets the maximum waiting duration to 30 minutes, the benchmark score to 100 points, and the first duration of a candidate caregiver to 15 minutes. Then its duration coefficient is 0.5 (15 / 30), and the final first nursing score is 50 points (100 - 50). This scoring mechanism intuitively reflects the time response ability of caregivers. The higher the score, the faster the caregiver can reach the patient to provide services.

[0048] It should be noted that the system will set a reasonable value range when calculating the score. When the first duration exceeds the maximum waiting duration, the first nursing score can be set to 0 points or the lowest score value; when the first duration is close to 0, the score is close to the benchmark score. This scoring mechanism is not only convenient for the system to perform automated calculations and comparisons but also can intuitively reflect the time response ability of caregivers.

[0049] S104. Obtain the disease information of the patients cared for by each candidate caregiver within a preset duration. According to the disease information, determine the influence index of each candidate caregiver on the target patient. Based on the influence index, generate the second care score for each candidate caregiver.

[0050] To reduce the risk of nosocomial cross-infection and ensure the safety of nursing services, the system needs to comprehensively evaluate the contact history of candidate caregivers. Specifically, the system first sets a preset duration (such as the past 24 hours or 48 hours) and extracts from the nursing record database the disease information of all patients contacted by each candidate caregiver during this period. This disease information mainly includes the type of the first disease, that is, the specific type of the disease suffered by the cared-for patient, and the first degree of illness of the first disease, that is, the severity of the disease.

[0051] Based on obtaining the disease information, the system also needs to understand the health status of the target patient. The system obtains from the electronic medical record system the type of the second disease of the target patient (that is, the type of the disease currently suffered by the target patient) and the second degree of illness of the second disease (that is, the severity of the target patient's disease). Subsequently, the system accesses a pre-established disease transmission relationship database, which stores the mutual influence relationships between various diseases. By querying this database, the system can obtain the first influence coefficient of the first disease on the second disease, which reflects the degree of interaction between different diseases.

[0052] To more accurately evaluate the degree of influence, the system also considers the contact duration between the caregiver and the cared-for patient. The system calculates the actual contact time between each candidate caregiver and the cared-for patient based on the nursing records and determines the influence factor accordingly. This influence factor is a dynamic value that increases correspondingly with the increase in the contact duration, reflecting the impact of the contact time on the disease transmission risk. Specifically, when calculating, the system multiplies the influence factor by the first influence coefficient to obtain the second influence coefficient, which comprehensively considers the interaction relationship between diseases and the impact of contact time.

[0053] Furthermore, the system adjusts the second influence coefficient according to the first degree of illness and the second degree of illness. The system first obtains the degree coefficients corresponding to these two degrees of illness, which reflect the impact of disease severity on the transmission risk. By multiplying the two degree coefficients to obtain the adjustment coefficient, and then multiplying the adjustment coefficient by the second influence coefficient, the influence index of each candidate caregiver on the target patient is finally obtained. This influence index comprehensively reflects the potential degree of influence that the caregiver may have on the health status of the target patient.

[0054] To convert the impact index into a comparable scoring metric, the system sets a preset maximum impact index as a reference standard. By determining the ratio of the actual impact index to the maximum impact index, the target impact coefficient is obtained, and this coefficient is multiplied by the preset benchmark score to finally generate the second nursing score for each candidate caregiver. This scoring mechanism ensures the standardization and comparability of the scores.

[0055] It should be noted that the system adopts a multi-level weight adjustment mechanism in the calculation process, which can flexibly adjust the weights of various parameters according to the specific situation of the hospital and the characteristics of different diseases. At the same time, the disease transmission relationship database is updated regularly to adapt to newly emerging disease types and the latest medical research results. In addition, the system also takes into account the protective measures and disinfection conditions of the nursing staff, and adjusts the impact index accordingly when necessary.

[0056] Based on the above embodiments, as an alternative implementation, in S104, the disease information includes the type of the first disease and the first degree of illness of the first disease. According to the disease information, determining the impact index of each candidate caregiver on the target patient specifically includes S41 - S45: S41, obtain the type of the second disease of the target patient and the second degree of illness of the second disease.

[0057] To scientifically evaluate the possible health impacts that caregivers may have on the target patient, the system establishes a complete disease impact assessment mechanism. First, the system retrieves the disease information of the target patient from the hospital's electronic medical record system, including the type of the second disease (i.e., the disease currently suffered by the target patient) and the second degree of illness of the second disease (i.e., the severity of the disease). This information is the basic data for evaluating potential health risks.

[0058] S42, obtain the first impact coefficient of the first disease on the second disease from the disease transmission relationship database.

[0059] The system then queries the pre-established disease transmission relationship database, which stores the mutual influence relationships between various diseases. By comparing the first disease (i.e., the disease of the patient already cared for) that the candidate caregiver has come into contact with and the second disease of the target patient, the system can obtain the corresponding first impact coefficient. This impact coefficient reflects the possible degree of interaction between the two diseases, and the larger the value, the more significant the potential impact. For example, if both diseases are highly contagious or there are obvious cross-influences, the corresponding impact coefficient will be higher.

[0060] S43, obtain the contact duration of each candidate caregiver with the patient already cared for, and determine the impact factor according to the contact duration. The impact factor increases with the increase of the contact duration.

[0061] Considering that the risk of disease transmission is closely related to the contact time, the system calculates the actual contact duration between each candidate caregiver and the cared patient based on the nursing records. Based on this duration data, the system calculates the corresponding impact factor through a preset time-impact function. This impact factor is a dynamic value that increases with the increase of the contact duration, but the growth rate may gradually decrease over time to more accurately reflect the actual situation. For example, a logarithmic function or a piecewise function can be used to describe this relationship.

[0062] S44. Arithmetically multiply the impact factor by the first impact coefficient to obtain the second impact coefficient.

[0063] To obtain a more accurate impact assessment, the system arithmetically multiplies the impact factor by the first impact coefficient to obtain the second impact coefficient. This calculation process comprehensively considers the interaction characteristics of the disease and the impact of contact time, and can more comprehensively reflect the potential health risks.

[0064] S45. Adjust the second impact coefficient according to the first disease severity and the second disease severity to determine the impact index of each candidate caregiver on the target patient.

[0065] Finally, the system also needs to consider the impact of disease severity. The system adjusts the second impact coefficient according to the first disease severity (the disease severity of the cared patient) and the second disease severity (the disease severity of the target patient). Specifically, the system sets corresponding severity coefficients for different disease severities, and weights and adjusts the second impact coefficient through these coefficients to finally obtain the impact index of each candidate caregiver on the target patient. For example, when the disease of the cared patient is in the acute stage or the immunity of the target patient is weak, the corresponding severity coefficient will be higher, thereby increasing the final impact index.

[0066] Based on the above embodiments, as an alternative implementation, in S45, adjusting the second impact coefficient according to the first disease severity and the second disease severity to determine the impact index of each candidate caregiver on the target patient specifically includes S451 - S453: S451. Obtain the first severity coefficient corresponding to the first disease severity and the second severity coefficient corresponding to the second disease severity.

[0067] To more precisely evaluate the impact of disease severity on health risks, the system establishes a multi-level adjustment mechanism based on disease severity. Specifically, the system first obtains the corresponding coefficient value from a preset degree coefficient comparison table. This comparison table stores the quantitative coefficients corresponding to different disease degrees, where the first degree coefficient corresponds to the first disease degree of the cared patient, and the second degree coefficient corresponds to the second disease degree of the target patient. The setting of these coefficients is based on the experience of medical experts and clinical statistical data, reflecting the risk weights under different disease severities.

[0068] For example, for the first disease degree, different first degree coefficients can be set according to factors such as the activity level and infectivity of the disease. When the cared patient is in the acute phase or highly infectious period of the disease, the corresponding first degree coefficient will be higher, such as 1.5 or 2.0; while when the patient is in the recovery period or has low infectivity, the coefficient may be set to 0.8 or 0.5. Similarly, for the second disease degree, the system will consider factors such as the immune status and complication risk of the target patient to set the second degree coefficient. When the target patient has low immunity or multiple underlying diseases, the corresponding second degree coefficient will be increased accordingly.

[0069] S452, arithmetically multiply the first degree coefficient and the second degree coefficient to obtain the adjustment coefficient.

[0070] S453, arithmetically multiply the adjustment coefficient and the second influence coefficient to obtain the influence index of each candidate caregiver on the target patient.

[0071] The system arithmetically multiplies these two degree coefficients to obtain a comprehensive adjustment coefficient. This multiplication operation reflects the synergistic effect of the two disease severities and can better reflect the actual risk level. For example, if the disease of the cared patient is in the highly infectious period (the first degree coefficient is 2.0), and the target patient is in a state of low immunity (the second degree coefficient is 1.5), then the final adjustment coefficient will reach 3.0, indicating a significant increase in the risk level in this combination.

[0072] Finally, the system arithmetically multiplies the calculated adjustment coefficient and the aforementioned second influence coefficient to obtain the final influence index. This influence index comprehensively considers the interaction characteristics of the diseases, the contact time, and the severity of the diseases of both parties, and can comprehensively reflect the possible health impact of the candidate caregiver on the target patient. For example, if the second influence coefficient of a caregiver is 0.6 and the adjustment coefficient is 3.0, then the final influence index will be 1.8. This relatively high value prompts the system to carefully consider the allocation of this caregiver.

[0073] It should be noted that the system will set a reasonable threshold range during actual operation to prevent the evaluation results from being distorted due to extreme values. At the same time, the setting of the degree coefficient can be appropriately adjusted according to the actual situation of the hospital and the characteristics of different departments to ensure the scientificity and practicality of the evaluation results. In addition, the system will regularly optimize and adjust various coefficients according to the actual nursing effect and infection monitoring data to continuously improve the evaluation mechanism.

[0074] Based on the above embodiments, as an alternative implementation, in S104, generating the second nursing score for each candidate caregiver according to the influence index specifically includes S51 - S52: S51, obtain the preset maximum influence index, and determine the ratio of the influence index to the maximum influence index as the target influence coefficient.

[0075] S52, obtain the preset benchmark score, and determine the product of the benchmark score and the target influence coefficient as the second nursing score for each candidate caregiver.

[0076] To convert the complex influence index into a standardized scoring system, the system adopts a scoring conversion mechanism based on the maximum influence index. First, the system will set a preset maximum influence index as the standard reference value, which represents the maximum acceptable health risk level of the hospital. The setting of this value needs to comprehensively consider the hospital's prevention and control capabilities, patient safety standards, and clinical practice experience, and is usually determined by the hospital infection management expert team based on historical data and risk assessment results.

[0077] The system then calculates the ratio of the actual influence index of each candidate caregiver to the maximum influence index to obtain the target influence coefficient. This ratio calculation process standardizes the data, making the influence degrees in different situations comparable. For example, if the influence index of a certain candidate caregiver is 0.6, and the preset maximum influence index is 2.0, then the corresponding target influence coefficient is 0.3, which intuitively reflects the proportion of the risk level of this caregiver relative to the maximum acceptable risk.

[0078] To convert the target influence coefficient into a more understandable and usable scoring form, the system will set a preset benchmark score, usually using a 100-point system, that is, the benchmark score is set to 100 points. The system multiplies the benchmark score by the target influence coefficient to obtain the second nursing score of the candidate caregiver. This calculation method ensures an inverse relationship between the score and the risk level, that is, the smaller the influence index, the higher the final score obtained. Continuing the above example, if the target influence coefficient is 0.3 and the benchmark score is 100 points, then the second nursing score of this caregiver is 70 points (100×(1 - 0.3)).

[0079] It should be noted that the system will set reasonable value ranges and calculation rules when performing score conversion. When the influence index exceeds the maximum influence index, the second nursing score can be set to 0 points or the lowest score; when the influence index approaches 0, the score approaches the benchmark score. This scoring mechanism not only realizes the standardized processing of data but also maintains the intuitiveness and comprehensibility of the scoring results.

[0080] In addition, the system can also set different maximum influence indexes and score conversion rules according to the characteristics of different departments or different types of patients. For example, for patients with low immunity, a lower maximum influence index can be set to increase the strictness of the scoring criteria; while for general patients, relatively loose scoring criteria can be adopted. This flexible scoring mechanism ensures that the system can adapt to the needs of different clinical scenarios.

[0081] S105, combine the first nursing score and the second nursing score to determine the target score of each candidate caregiver.

[0082] In order to comprehensively and scientifically evaluate the comprehensive service capabilities of candidate caregivers, the system needs to reasonably integrate the scores of the aforementioned two dimensions. Specifically, the system adopts a weighted scoring mechanism and sets corresponding weight coefficients for the first nursing score and the second nursing score respectively. Among them, the first weight corresponds to the first nursing score, reflecting the importance of spatio-temporal accessibility; the second weight corresponds to the second nursing score, reflecting the importance of disease prevention and control. The setting of these two weights follows the basic principle that the sum of the weights is 1, that is, the sum of the first weight and the second weight is equal to 1, which ensures the standardization and comparability of the scoring system.

[0083] The specific values of the weights can be flexibly adjusted according to the actual situation of the hospital and management needs. For example, for general nursing needs, the proportion of the first weight can be appropriately increased to give priority to the rapid response ability of nursing staff; while for patients with low immunity or infectious diseases, the proportion of the second weight can be increased accordingly to pay more attention to disease prevention and control factors. This dynamic adjustment mechanism enables the scoring system to better adapt to the needs of different nursing scenarios.

[0084] After determining the weights, the system first multiplies the first nursing score by the first weight to obtain the first target score reflecting the spatio-temporal dimension; at the same time, multiplies the second nursing score by the second weight to obtain the second target score reflecting the safety dimension. Finally, the system arithmetically adds these two target scores to obtain the final target score of each candidate caregiver. This target score comprehensively reflects the comprehensive performance of candidate caregivers in response timeliness and safety protection.

[0085] It should be noted that the system will adopt standardization processing when calculating the target score to ensure the comparability of scores in different dimensions during the calculation process. At the same time, the system will also set an effective range for the scores and appropriately handle outliers to ensure the rationality of the score results. In addition, the system can dynamically optimize the weight configuration scheme based on the statistical analysis of historical data to make the score results more in line with the actual nursing effect.

[0086] Based on the above embodiments, as an optional implementation manner, in S105, determining the target score of each candidate caregiver by combining the first nursing score and the second nursing score specifically includes S61 - S62: S61, obtain the first weight corresponding to the first nursing score and the second weight corresponding to the second nursing score; wherein, the sum of the first weight and the second weight is 1.

[0087] S62, arithmetically multiply the first nursing score by the first weight to obtain the first target score; arithmetically multiply the second nursing score by the second weight to obtain the second target score, and arithmetically add the first target score and the second target score to obtain the target score of each candidate caregiver.

[0088] Set two key weights: the first weight corresponds to the first nursing score (time dimension), and the second weight corresponds to the second nursing score (safety dimension). The setting of these two weights follows the basic principle that the sum is 1, ensuring the balance and standardization of the scoring system. For example, if the hospital pays more attention to the service response speed, the first weight can be set to 0.6, and the second weight can be set to 0.4 accordingly; conversely, if the hospital emphasizes infection prevention and control more, the proportion of the second weight can be increased.

[0089] The specific numerical setting of the weights needs to consider multiple factors, including the hospital's service strategy, the specific situation of the patients, the special requirements of the departments, etc. For example, for general outpatient patients, the first weight can be appropriately increased to emphasize the timeliness of service; while for patients with low immunity or infectious diseases, the second weight needs to be increased to pay more attention to safety protection factors. This dynamic weight configuration mechanism enables the scoring system to flexibly adapt to different nursing scenarios.

[0090] After determining the weights, the system first multiplies the first nursing score by the first weight to obtain the first target score reflecting the time dimension. Similarly, multiply the second nursing score by the second weight to obtain the second target score reflecting the safety dimension. This weighted calculation ensures that the scores of the two dimensions can affect the final result according to the preset importance. For example, if the first nursing score of a certain candidate caregiver is 80 points and the second nursing score is 90 points, under the above weight configuration of 0.6 and 0.4, the first target score is 48 points (80×0.6), and the second target score is 36 points (90×0.4).

[0091] Finally, the system arithmetically adds the first target score and the second target score to obtain the final target score of the candidate caregiver. Continuing with the above example, the final target score of this caregiver is 84 points (48 + 36). This target score comprehensively reflects the overall performance of the candidate caregiver in two dimensions: time response and safety protection.

[0092] S106, Send the personnel information of the candidate caregivers whose target scores are greater than the preset score to the target terminal, so that the target patient can select the target caregiver according to the personnel information.

[0093] To ensure high-quality standards of nursing services and at the same time give patients appropriate options, the system needs to conduct a final screening of candidate caregivers and recommend them to patients. Specifically, the system first sets a preset score as a benchmark threshold, which represents the minimum requirement standard of the hospital for the quality of nursing services. The system will screen out candidate caregivers whose target scores are higher than this preset score to ensure that the recommended caregivers all have sufficient service capabilities and safety guarantees.

[0094] For the candidate caregivers who pass the screening, the system will extract their detailed personnel information from the personnel information database. These personnel information include but are not limited to: basic information of the caregiver (such as name, employee number, gender, etc.), professional qualifications (such as job title, professional expertise, certificates held, etc.), service statistics information (such as years of service, historical service evaluations, etc.) and current status information (such as estimated arrival time, etc.). The system will standardize and organize this information to form an information display format that is easy for patients to understand and compare.

[0095] The processed personnel information will be sent to the target terminal (such as mobile App, tablet computer, etc.) used by the target patient through network communication. On the target terminal, this information will be presented in an intuitive way, which may include various display methods such as list form, card form, etc. The system will sort the candidate caregivers according to the target score, so that patients can quickly identify more suitable caregiver candidates. At the same time, the system will also provide necessary filtering and sorting functions on the interface to facilitate patients to further filter according to their specific needs.

[0096] To assist patients in making better choices, the system will also prominently display some key information on the display interface, such as whether the professional expertise of the caregiver highly matches the patient's nursing needs, whether the estimated arrival time meets the patient's time requirements, etc. The prominent display of this information can help patients find the most suitable caregiver more quickly. Patients can directly select their favorite caregiver through the target terminal, and the system will immediately process the selection request and notify the corresponding caregiver.

[0097] After sending the personnel information of the candidate caregivers whose target scores are greater than the preset score to the target terminal, it further includes: Receiving a selection instruction sent by the target terminal, the selection instruction includes the identification information of the target caregiver; obtaining the historical care evaluation of the target caregiver according to the identification information, and sending the historical care evaluation to the target terminal.

[0098] After the patient browses the candidate caregiver information on the target terminal, the patient can send a selection instruction through clicking or other interaction methods. This instruction contains the identification information of the target caregiver of interest (such as unique identifiers like employee number, ID, etc.). After the system receives this selection instruction, it will immediately start the historical evaluation query process.

[0099] First, the system retrieves the historical care evaluation information of the target caregiver from the care evaluation database according to the received identification information. These historical evaluation information usually includes multiple dimensions: quantitative evaluation (such as star rating, satisfaction score, etc.), qualitative evaluation (such as text evaluation, description of service highlights, etc.), service statistics (such as on-time rate, complaint rate, number of praises, etc.), and special skill recognition (such as professional evaluation of specific care operations). The system will perform intelligent processing and integration on these original evaluation data to form more valuable decision-making reference information.

[0100] In the data processing process, the system will focus on several key aspects: First is the timeliness of the evaluation, and more recent evaluations will obtain higher reference weights; second is the relevance of the evaluation, and historical service evaluations similar to the care needs of the target patient will be preferentially displayed; third is the credibility of the evaluation, and the system will screen out true and reliable evaluation information through algorithms and filter out possible false or invalid evaluations.

[0101] The processed historical care evaluation will be sent to the target terminal for display in an intuitive and easy-to-understand form. For example, the system may generate an evaluation report containing the following content: recent service satisfaction trend chart, keyword cloud chart of patient praises, representative detailed evaluation cases, overview of professional skill assessment, etc. This multi-dimensional information display method can help patients more comprehensively understand the service capabilities and characteristics of the target caregiver.

[0102] Based on the above method, the present application also discloses a hospital escort supervision system, as Figure 2 shown, Figure 2 is a schematic structural diagram of a hospital escort supervision system provided by an embodiment of the present application. The system includes: a receiving module, a selection module, a first acquisition module, a second acquisition module, a combination module, and a sending module; wherein, A receiving module, configured to receive a nursing request sent by a target terminal of a target patient, where the nursing request includes a type of nursing care and a first location of the target patient; a selecting module, configured to select candidate caregivers corresponding to the type of nursing care from multiple caregivers; a first obtaining module, configured to obtain the end time of the current nursing tasks of each candidate caregiver, and the second location of each candidate caregiver, calculate the first duration required for each candidate caregiver to reach the first location by combining the end time and the second location, and generate a first nursing score for each candidate caregiver according to the first duration; a second obtaining module, configured to obtain the disease information of the patients already nursed by each candidate caregiver within a preset duration, determine the influence index of each candidate caregiver on the target patient according to the disease information, and generate a second nursing score for each candidate caregiver according to the influence index; a combining module, configured to combine the first nursing score and the second nursing score to determine the target score of each candidate caregiver; a sending module, configured to send the personnel information of the candidate caregivers whose target scores are greater than the preset score to the target terminal, so that the target patient can select a target caregiver according to the personnel information.

[0103] It should be noted that when the device provided in the above embodiment implements its functions, only the above division of each functional module is used for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process can be seen in the method embodiment, which will not be repeated here.

[0104] Please refer to Figure 3 , which is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As Figure 3 shown, the electronic device 1000 may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, and at least one communication bus 1002.

[0105] Among them, the communication bus 1002 is used to realize the connection and communication between these components.

[0106] Among them, the user interface 1003 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface.

[0107] Among them, the network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0108] Among them, the processor 1001 may include one or more processing cores. The processor 1001 connects various parts within the entire server through various interfaces and lines. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 1005, and by calling the data stored in the memory 1005, it executes various functions of the server and processes data. Optionally, the processor 1001 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 1001 may integrate one or a combination of several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 1001 and may be implemented separately by a single chip.

[0109] Among them, the memory 1005 may include random access memory (RAM) and may also include read-only memory. Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 1005 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store the data involved in the above-mentioned various method embodiments. Optionally, the memory 1005 may also be at least one storage device located far from the aforementioned processor 1001. As Figure 3 shown, the memory 1005, as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program of a hospital escort supervision method.

[0110] In Figure 3In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an interface for the user to input and obtain the data input by the user; and the processor 1001 can be used to call the application program storing a hospital escort supervision method in the memory 1005. When executed by one or more processors, the electronic device is caused to execute one or more of the methods as described in the above embodiments.

[0111] An electronic device-readable storage medium stores instructions. When executed by one or more processors, the electronic device is caused to execute one or more of the methods as described in the above embodiments.

[0112] It should be noted that, for the foregoing method embodiments, for simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0113] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0114] In several embodiments provided by this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some service interfaces. The indirect couplings or communication connections of the devices or units can be in electrical or other forms.

[0115] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0116] In addition, in each embodiment of this application, the functional units can be integrated into one processing unit, or each unit exists physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0117] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned memory includes: various media such as USB flash drives, mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0118] The above are only exemplary embodiments of the present disclosure, and the scope of the present disclosure cannot be limited thereby. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. Those skilled in the art will readily think of other implementation manners of the present disclosure after considering the specification and practicing the disclosure herein. The present application aims to cover any variations, uses, or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include the common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A hospital escort supervision method, characterized in that, The method includes: Receiving a nursing request sent by a target terminal of a target patient, where the nursing request includes the type of nursing and the first location of the target patient; Selecting candidate caregivers corresponding to the type of nursing from multiple caregivers; Obtaining the end time of the current nursing tasks of each candidate caregiver and the second location of each candidate caregiver, combining the end time and the second location, calculating the first duration required for each candidate caregiver to reach the first location, and generating the first nursing score for each candidate caregiver according to the first duration; Obtaining the disease information of the patients already nursed by each candidate caregiver within a preset duration, determining the influence index of each candidate caregiver on the target patient according to the disease information, and generating the second nursing score for each candidate caregiver according to the influence index; Combining the first nursing score and the second nursing score to determine the target score of each candidate caregiver; Sending the personnel information of the candidate caregivers whose target scores are greater than the preset score to the target terminal, so that the target patient can select a target caregiver according to the personnel information.

2. The hospital escort supervision method according to claim 1, characterized in that The generating the first nursing score for each candidate caregiver according to the first duration includes: Obtaining a preset maximum waiting duration, and determining the duration coefficient as the ratio of the first duration to the maximum waiting duration; Obtaining a preset benchmark score, and determining the difference between the benchmark score and the duration coefficient as the first nursing score for each candidate caregiver.

3. The hospital escort supervision method according to claim 1, characterized in that, The disease information includes the type of the first disease and the first degree of illness of the first disease. The determining the influence index of each candidate caregiver on the target patient according to the disease information includes: Obtaining the type of the second disease of the target patient and the second degree of illness of the second disease; Obtaining the first influence coefficient of the first disease on the second disease from the disease infection relationship database; Obtaining the contact duration between each candidate caregiver and the patient already nursed, and determining an influence factor according to the contact duration, where the influence factor increases as the contact duration increases; Arithmetically multiplying the influence factor by the first influence coefficient to obtain a second influence coefficient; Adjusting the second influence coefficient according to the first degree of illness and the second degree of illness to determine the influence index of each candidate caregiver on the target patient.

4. The hospital escort supervision method according to claim 3, wherein, The adjusting the second influence coefficient according to the first degree of illness and the second degree of illness to determine the influence index of each candidate caregiver on the target patient includes: Obtaining the first degree coefficient corresponding to the first degree of illness and the second degree coefficient corresponding to the second degree of illness; Arithmetically multiplying the first degree coefficient by the second degree coefficient to obtain an adjustment coefficient; Arithmetically multiplying the adjustment coefficient by the second influence coefficient to obtain the influence index of each candidate caregiver on the target patient.

5. The hospital escort supervision method according to claim 1, wherein, The generating the second nursing score for each candidate caregiver according to the influence index includes: Obtain a preset maximum influence index, and determine the ratio of the influence index to the maximum influence index as the target influence coefficient; Obtain a preset reference score, and determine the product of the reference score and the target influence coefficient as the second nursing score of each candidate caregiver; 6. The hospital escort supervision method according to claim 1, wherein Combining the first nursing score and the second nursing score to determine the target score of each candidate caregiver includes: Obtain a first weight corresponding to the first nursing score and a second weight corresponding to the second nursing score; wherein, the sum of the first weight and the second weight is 1; Arithmetically multiply the first nursing score by the first weight to obtain a first target score; arithmetically multiply the second nursing score by the second weight to obtain a second target score, and arithmetically add the first target score and the second target score to obtain the target score of each candidate caregiver; 7. The hospital escort supervision method according to claim 1, characterized in that, After sending the personnel information of the candidate caregiver whose target score is greater than the preset score to the target terminal, further include: Receive a selection instruction sent by the target terminal, where the selection instruction includes the identification information of the target caregiver; Obtain the historical nursing evaluation of the target caregiver according to the identification information, and send the historical nursing evaluation to the target terminal; 8. A hospital escort supervision system, characterized in that, The system includes: a receiving module, a selection module, a first obtaining module, a second obtaining module, a combining module, and a sending module; wherein, The receiving module is configured to receive a nursing request sent by the target terminal of the target patient, where the nursing request includes the type of nursing and the first location of the target patient; The selection module is configured to select candidate caregivers corresponding to the type of nursing from multiple caregivers; The first obtaining module is configured to obtain the end time of the current nursing task of each candidate caregiver and the second location of each candidate caregiver, combine the end time and the second location, calculate the first duration required for each candidate caregiver to reach the first location, and generate the first nursing score of each candidate caregiver according to the first duration; The second obtaining module is configured to obtain the disease information of the patients already cared for by each candidate caregiver within a preset duration, determine the influence index of each candidate caregiver on the target patient according to the disease information, and generate the second nursing score of each candidate caregiver according to the influence index; The combining module is configured to combine the first nursing score and the second nursing score to determine the target score of each candidate caregiver; The sending module is configured to send the personnel information of the candidate caregiver whose target score is greater than the preset score to the target terminal, so that the target patient selects a target caregiver according to the personnel information; 9. An electronic device, characterized in that, Includes a processor, a memory, a user interface, and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory, so that the electronic device executes the method according to any one of claims 1-7; 10. A computer-readable storage medium, characterized in that, Stores a computer program that can be loaded and executed by a processor to execute the method according to any one of claims 1-7.

Images