Recommended methods, devices, equipment and storage media for implementers of clinical trial projects

Abstract

The present invention provides a method, device, equipment and storage medium for recommending implementers of clinical trial projects, the method comprising: receiving project requirement information of a target clinical trial project; determining, based on the project requirement information, associated clinical trial projects associated with the target clinical trial project in the implementer's existing clinical trial projects; wherein the clinical resources required for the associated clinical trial projects are at least partially the same as those required for the target clinical trial projects; according to the associated clinical trial projects, obtaining the clinical resource margin of the implementer corresponding to the target clinical trial project; wherein the clinical resource margin represents the number of unoccupied clinical resources; and recommending the target implementer of the target clinical trial project according to the clinical resource margin. By obtaining the associated clinical trial projects corresponding to the implementer, the efficiency of determining the target implementer is improved to a certain extent.

Description

Technical Field

[0001] The present specification relates to the technical field of computer data processing, and specifically to a method, apparatus, computer equipment and storage medium for recommending implementers of a clinical trial project. Background Art

[0002] In the process of conducting clinical trials for clinical trial projects, the sponsor needs to select a target implementer that can be used to conduct clinical trials from among many implementers. However, the clinical resources of each implementer are relatively limited, and the clinical resources of some implementers face competition from a large number of projects. Correspondingly, some implementers have too abundant clinical resources but no corresponding clinical trial projects. This makes it difficult to balance the clinical resources of different implementers. In addition, the historical data of similar clinical trial projects corresponding to each implementer are difficult to obtain, and the data integrity is not high. Therefore, it is difficult to select a target implementer that meets the clinical resources required for clinical trials from among many implementers. In the prior art, it is often necessary to manually select the target implementer based on experience when determining the target implementer, which consumes a lot of manpower and time. Summary of the invention

[0003] In view of this, multiple embodiments of this specification are dedicated to providing a method, apparatus, computer device and storage medium for recommending implementers of clinical trial projects, so as to improve the efficiency of recommending target implementers to a certain extent.

[0004] An implementation manner of the present specification provides a method for recommending implementers of a clinical trial project, which is applied to a server, and the method includes: receiving project requirement information of the clinical trial project, the clinical trial project being used as a target clinical trial project; based on the project requirement information, determining, among the implementer's existing clinical trial projects, associated clinical trial projects that are associated with the target clinical trial project; wherein the clinical resources required for the associated clinical trial projects are at least partially the same as the clinical resources required for the target clinical trial project; according to the associated clinical trial projects, deriving the clinical resource surplus of the implementer corresponding to the target clinical trial project; wherein the clinical resource surplus represents the amount of unoccupied clinical resources; and recommending the implementer of the target clinical trial project based on the clinical resource surplus.

[0005] An implementation manner of the present specification provides a device for recommending implementers of a clinical trial project, the device comprising: a receiving module for receiving project requirement information of a target clinical trial project; an associated clinical trial project determination module for determining, based on the project requirement information, associated clinical trial projects of the implementer that are associated with the target clinical trial project, wherein the clinical resources required for the associated clinical trial projects are at least partially the same as those required for the target clinical trial project; a clinical resource surplus determination module for deriving, according to the associated clinical trial projects, the clinical resource surplus of the implementer corresponding to the target clinical trial project; wherein the clinical resource surplus represents the amount of unoccupied clinical resources; an implementer recommendation module for recommending an implementer of the target clinical trial project based on the clinical resource surplus.

[0006] An embodiment of the present specification proposes a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method described in the embodiment is implemented.

[0007] The embodiments of this specification provide a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method described in the embodiments is implemented.

[0008] The implementation method of this specification obtains the associated clinical trial projects corresponding to multiple implementers, determines the clinical resource surplus of multiple implementers, and recommends the target implementer. This can avoid selecting implementers with more competing projects to a certain extent, ensure that the target implementer can have more sufficient clinical resources for carrying out the target clinical trial project, and improve the efficiency of determining the target implementer to a certain extent. At the same time, recommending the target implementer with more sufficient clinical resources according to the target clinical project is also conducive to balancing the clinical resources of different implementers. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 The figure shows a schematic diagram of the interaction between the server and the client of the implementation recommendation system of the clinical trial project provided by one embodiment.

[0010] Figure 2 The figure is a flow chart of a method recommended by implementers of a clinical trial project provided in one embodiment.

[0011] Figure 3 The figure shows a structural block diagram of a device for recommending implementers of clinical trial projects provided by one embodiment. DETAILED DESCRIPTION

[0012] In order to enable those skilled in the art to better understand the solution of this specification, the technical solution in the implementation of this specification will be clearly and completely described below in conjunction with the drawings in the implementation of this specification. Obviously, the described implementation is only a part of the implementation of this specification, not all of the implementations. Based on the implementation in this specification, all other implementations obtained by ordinary technicians in this field without creative work are within the scope of protection of this specification.

[0013] See also Figure 1 , the implementation method of this specification provides a system for recommending the implementers of clinical trial projects. The implementation method for recommending the implementers of clinical trial projects may include a client and a server. The client may be an electronic device with network access capability. Specifically, for example, the client may be a desktop computer, a tablet computer, a laptop computer, a smart phone, a digital assistant, a smart wearable device, a shopping guide terminal, a television, a smart speaker, a microphone, etc. Among them, smart wearable devices include but are not limited to smart bracelets, smart watches, smart glasses, smart helmets, smart necklaces, etc. Alternatively, the client may also be software that can be run in the above-mentioned electronic devices. The server may be an electronic device with certain computing and processing capabilities. It may have a network communication module, a processor, and a memory, etc. Of course, the above-mentioned server may also refer to software running in the electronic device. The above-mentioned server may also be a distributed server, which may be a system with multiple processors, memories, network communication modules, etc. operating in collaboration. Alternatively, the server may also be a server cluster formed by several servers. Alternatively, with the development of science and technology, the server may also be a new technical means that can realize the corresponding functions of the implementation method of the specification. For example, it may be a new form of "server" based on quantum computing.

[0014] See also Figure 2 The present specification provides a method for recommending implementers of a clinical trial project, and the method includes the following steps.

[0015] Step S110: Receive project requirement information of the target clinical trial project.

[0016] Before the sponsor launches a clinical trial project, it will enter the determined project requirement information into the clinical trial project implementer recommendation system. The system can then recommend implementers based on the project requirement information to ensure that the target implementers recommended by the system can better carry out the clinical trial project.

[0017] The clinical trial can be a medical trial conducted on products in the medical field such as drugs and medical devices to ensure their efficacy and safety before they are officially launched on the market. The clinical trial can be a systematic study of drugs and medical devices conducted on humans.

[0018] The clinical trial project may be a research project established for conducting clinical trials on drug products or medical device products. The clinical trial project may include multiple visits, and each visit may have multiple examination items.

[0019] The project requirement information may include the requirements for carrying out the clinical trial project. Specifically, the project requirement information may include the indications, staging, designated implementers, full-time man-hours of the staff required, the trial start time of the first implementer, and the total number of planned enrollments, etc. of the test subjects of the clinical trial project. In some embodiments, the project requirement information may also include inclusion and exclusion criteria. The inclusion and exclusion criteria may include inclusion criteria and exclusion criteria. Among them, the inclusion criteria may refer to the basic conditions for the subjects to be enrolled, and the exclusion criteria may refer to other special circumstances that do not meet the requirements of the clinical trial on the basis of meeting the inclusion criteria. Based on the project requirement information, it can help to select the target implementer.

[0020] In addition, the implementing party may also be referred to as a center, a sub-center, etc., which may be used to indicate an institution that carries out the clinical trial project. The institution may be a licensed pharmaceutical enterprise or a hospital.

[0021] The target clinical trial project may be a clinical trial project provided by a sponsor that matches the project requirement information. The sponsor may be the initiator of the clinical trial project. The sponsor may provide the research subjects of the clinical trial project.

[0022] The method for receiving the project requirement information of the clinical trial project may be that the server receives the information according to the user's input information. In some embodiments, the method for receiving the project requirement information of the clinical trial project may also be that the server first sends a specified project requirement information input request to the human-computer interaction interface, and after the user observes the requested information, the server receives the project requirement information according to the user's input information.

[0023] Step S120: Based on the project requirement information, determine, among the implementer's existing clinical trial projects, associated clinical trial projects that are associated with the target clinical trial project; wherein the clinical resources required for the associated clinical trial projects are at least partially the same as the clinical resources required for the target clinical trial project.

[0024] In the process of recommending target implementers based on the project requirement information, information on existing clinical trial projects of each implementer can be extracted from the database based on the project requirement information to estimate the clinical resource surplus corresponding to each implementer for recommending target implementers.

[0025] The clinical trial projects that the implementer already has may include the information of completed clinical trial projects accumulated historically. Of course, the clinical trial projects that the implementer already has may also include the information of the clinical trial projects being carried out. Among them, the information of the clinical trial projects may be information related to the clinical trial projects. Specifically, the information of the clinical trial projects may include the basic information of the clinical trial projects, for example, the project research objects, project indications, staging, sponsor information and other information. Of course, some clinical trial projects may also include information such as sponsor information, implementer information, project enrollment time, visit information, inspection items at each visit stage, subject information, clinical trial results and clinical trial costs. In some embodiments, for the information of the clinical trial projects being carried out, it may also include information such as the planned enrollment time, planned visits, planned inspection items and planned clinical resources occupied by the project. In addition, the clinical trial project information may be stored in a database. Among them, each implementer may have a data set of the corresponding implementer formed by the information of the clinical trial projects accumulated historically and the information of the planned clinical trial projects.

[0026] The associated clinical trial project may be a clinical trial project that has an associated relationship with the target clinical trial project. The associated clinical trial project may be used to represent the information of the clinical trial project that has an associated relationship. Among them, the associated relationship between the associated clinical trial project and the target clinical trial project may be that the clinical resources required for the associated clinical trial project are at least partially the same as the clinical resources required for the target clinical trial project. Specifically, for example, the indication of the subject in the clinical resources that characterize the subject required by the associated clinical trial project may be the same as the indication of the subject in the clinical resources that characterize the subject required by the target clinical trial project, or the inclusion and exclusion criteria of the subject are the same. In some embodiments, at least partially identical clinical resources may also represent human resources. For example, the human resources may be the number of clinical trial coordinators of the sponsor that has established a cooperative relationship with the implementer or the number of projects that have the same indication as the target clinical trial project that the implementer has carried out. In some embodiments, the associated clinical trial project may also be referred to as a similar clinical trial project. In addition, the information of the associated clinical trial project may include the information included in the clinical trial project. The information of the associated clinical trial project may be stored in the data set of the corresponding implementer.

[0027] The method for determining the associated clinical trial projects associated with the target clinical trial project in the existing clinical trial projects of the implementer can be to match the data corresponding to each implementer with the existing clinical trial project information based on the project requirement information to obtain the associated clinical trial project data. The matching method can be based on specific information for matching, for example, it can be based on indication information to match in the database. Specifically, the database can include a data table recording the indications of the clinical trial projects. Among them, each field of the data table can correspond to all the indications accumulated historically. Each record of the data table can correspond to different clinical trial projects respectively. In each record, when the clinical trial project represented has the indication represented by the field, the value can be set to 1 in the field corresponding to the record, otherwise the value can be set to 0. According to the indication of the target clinical trial project, several clinical trial projects with the same indication or the largest number of common indications can be matched in the data table as associated clinical trial projects. Of course, in some embodiments, before storing the information of the clinical trial project, the corresponding project information vector of the clinical trial project can be generated by natural language processing technology based on the information of the clinical trial project and stored in the database. In matching the associated clinical trial project, a target information vector of the target clinical trial project can be generated, and then the vector similarity can be calculated based on the target information vector and the project information vector in the database. Then, several clinical trial projects with high vector similarity can be selected as associated clinical trial projects. Of course, in some embodiments, the clinical trial projects accumulated historically by the center can also be designated as associated clinical trial project data. Specifically, for example, all clinical trial projects can be designated as associated clinical trial projects.

[0028] Step S130: According to the associated clinical trial project, the clinical resource surplus of the implementer corresponding to the target clinical trial project is obtained; wherein the clinical resource surplus represents the amount of unoccupied clinical resources.

[0029] Based on the associated clinical trial projects, the clinical resource slack of the implementer corresponding to the target clinical trial project can be obtained. Through the clinical resource slack, the target implementer can be recommended to ensure that the implementer can have sufficient and high-quality clinical resources to carry out the target clinical trial.

[0030] The clinical resource margin may represent the number of unoccupied clinical resources of the implementer. The clinical resources may be the clinical resources required to carry out the clinical trial project. Specifically, the clinical resources may include subject resources and clinical coordinator's work time resources, etc.

[0031] According to the associated clinical trial project, the method for obtaining the clinical resource surplus of the implementer corresponding to the target clinical trial project can be determined based on the clinical resources required by the clinical trial project and the clinical resources already occupied by the implementer. Among them, the occupied clinical resources can be clinical resources that have been occupied, or they can be clinical resources expected to be occupied according to the planned clinical trial project. For example, when a certain implementer has a competing clinical trial project that is being carried out and the inclusion and exclusion criteria of the subjects are similar to the inclusion and exclusion criteria of the target subjects of the target clinical trial project, the clinical resource surplus of the implementer can be determined based on the number of subjects who meet the inclusion and exclusion criteria of the implementer and the number of subjects required for the competing clinical trial project. The corresponding clinical resource surplus of the subject.

[0032] Step S140: recommending a target implementer of the target clinical trial project according to the clinical resource availability.

[0033] Based on the clinical resource surplus, a target implementer can be recommended to ensure that the implementer has sufficient clinical resource surplus to carry out the target clinical trial project. In some embodiments, recommending a target implementer based on clinical resource surplus can also avoid selecting an implementer with many competing clinical trial projects, which may cause the clinical trial project to progress slowly.

[0034] The method for recommending the target implementer of the target clinical trial project according to the clinical resource surplus can be to sort according to the value of the clinical resource surplus, and then recommend several implementers with larger values ​​of the clinical resource surplus. Of course, the method for recommending the implementer of the target clinical trial project according to the clinical resource surplus can also be based on the clinical resource surplus, after screening out multiple implementers that meet the clinical resources required for the target clinical trial, scoring multiple implementers based on several dimensions that need to be considered for carrying out clinical trial projects, and obtaining the score value corresponding to each implementer. Then, several implementers with higher scores can be recommended. Among them, the scoring dimensions can include the qualifications of the implementer, the number of clinical trial projects with the same research subjects as the target clinical trial in history, and whether to cooperate with the designated organizer, etc. Of course, the clinical resource surplus can also be used as a scoring dimension. In some embodiments, when the clinical resource surplus is low or even insufficient, when the implementer's score value is high due to the high scores of the other scoring dimensions, it can be indicated that the implementer has a low resource surplus, but has relatively superior conditions. Therefore, the corresponding implementer can be recommended in a shorter waiting time for the clinical trial project. The score value can also indicate the matching degree between the implementer and the target clinical trial project.

[0035] In some embodiments, the project requirement information includes the target clinical resource demand of the target clinical trial project; accordingly, the step of recommending the target implementer of the target clinical trial project based on the clinical resource surplus includes: giving priority to recommending the target implementer whose clinical resource surplus meets the target clinical resource demand.

[0036] In some embodiments, the target clinical resource requirement of the target clinical trial project can be inferred based on the project requirement information, but the accuracy of the inferred target clinical resource requirement is relatively low in some embodiments. Therefore, in the process of entering the project requirement information, the user can also enter the determined target clinical resource requirement. According to the clinical resource margin of the implementer and the target clinical resource requirement, it can be more convenient to determine whether the implementer has the clinical resource margin to carry out the target clinical trial project, so as to improve the rate and accuracy of the system recommending the implementer. In addition, the implementer whose clinical resource margin meets the target clinical resource requirement can be recommended preferentially, which can reduce the possibility of stagnation of the clinical trial project due to insufficient clinical resources of the implementer to a certain extent.

[0037] The target clinical resource requirement may represent the clinical resources required for carrying out the target clinical trial project. The target clinical resource requirement may change according to different stages of the clinical trial. The target clinical resource requirement may be inferred by the server based on the information of the target clinical trial project, or may be actively entered by the user and received by the server.

[0038] The method of preferentially recommending the implementer whose clinical resource surplus meets the target clinical resource demand may be to score each implementer in the process of recommending the target implementer, and recommend the implementer according to the score. Among them, the score value of the implementer whose clinical resource surplus does not meet the target clinical resource demand can be subtracted by a penalty value. Of course, the score value of the implementer whose clinical resource surplus does not meet the target clinical medical resource demand can also be directly set to zero. In some embodiments, the implementer can also be scored based on multiple dimensions including whether the clinical resource surplus meets the target clinical resource demand. Specifically, for example, when the clinical resource surplus meets the target clinical resource demand, the value of the corresponding dimension can be 1. When the clinical resource surplus does not meet the target clinical resource demand, the value of the corresponding dimension can be -1. By increasing the weight corresponding to the dimension of whether the clinical resource surplus meets the target clinical resource demand, the importance of the dimension of whether the clinical resource surplus meets the target clinical resource demand in multiple dimensions for recommending the target implementer can be increased in the process of weighted calculation of different dimensions. This ensures that the implementer whose clinical resource surplus meets the target clinical resource demand will receive a relatively high score, and can be recommended as a priority.

[0039] In some embodiments, the project requirement information includes indication information, and the indication information involved in the associated clinical trial project is at least partially the same as that involved in the target clinical trial project.

[0040] The project requirement information may include indication information. Accordingly, the associated clinical trial project may be obtained based on the indication information in the project requirement information. Based on the indication information, the associated clinical trial project may be determined more accurately and quickly. Among them, the clinical resources required for clinical trial projects with similar indication information may also be similar. For example, the inclusion and exclusion criteria for subjects required for clinical trial projects with similar indications may be similar. Therefore, by determining the associated clinical trial projects based on similar indications, it is possible to more accurately analyze the resources of the competing clinical trial projects faced by the implementer for the corresponding target clinical trial project, determine the amount of clinical resource surplus, and then recommend the target implementer.

[0041] The indication information may indicate a disease suitable for treating the corresponding symptoms of a drug, treatment method or medical device. Specifically, for example, recurrent chronic tonsillitis is an indication for a drug for treating tonsillitis. In addition, the same drug or medical device may have multiple corresponding indications. Correspondingly, the target clinical trial project may also have multiple indications. Specifically, for example, the target clinical trial project may be a drug for treating a cold. Correspondingly, the indications may be cough and fever. Therefore, by using clinical trial projects with the same indication information as associated clinical trial projects of the target clinical trial project, all associated clinical trial projects that may have the same association relationship as the target clinical trial can be more widely covered. For example, clinical trial projects with indications including cough or fever can be used as associated clinical trial projects. Of course, in some embodiments, it can also be limited to the associated clinical trial project being exactly the same as the indication information involved in the target clinical trial project.

[0042] In some embodiments, the implementer corresponds to a total amount of clinical resources; according to the associated clinical trial project, the step of deriving the clinical resource surplus of the implementer corresponding to the target clinical trial project includes: calculating the clinical resource occupancy of the associated clinical trial project; determining the clinical resource surplus of the implementer based on the total amount of clinical resources and the clinical resource occupancy.

[0043] The clinical resource occupancy and total clinical resource amount can be used to quickly determine the clinical resource surplus, so that the clinical resource surplus can be used to recommend target implementation methods.

[0044] The total amount of clinical resources can represent the clinical resources of the corresponding implementer. Different implementers may have different amounts of clinical resources. Specifically, for example, oncology hospitals in areas with relatively developed medical resources may have more subject resources for oncology drug trials. For ordinary hospitals in areas with underdeveloped medical resources, the number of relevant subject resources is relatively small. In addition, the total amount of clinical resources may also include the total amount of human resources of the sponsor. Specifically, different sponsors may have different numbers of personnel participating in clinical trial projects.

[0045] The clinical resource usage may represent the clinical resource usage of the corresponding implementer occupied by the ongoing clinical trial project in the associated clinical trial project. The clinical resource usage may also include the number of subjects and the number of man-hour resources of the organizer. The clinical resources occupied by the associated clinical trial project in the implementation may partially overlap with the clinical resources required by the target clinical trial project. Therefore, the clinical resource usage may be considered as clinical resources that cannot be used for the target clinical trial project.

[0046] By calculating the clinical resource occupancy of the associated clinical trial project, the clinical resource surplus can be analyzed. The method for calculating the clinical resource occupancy of the associated clinical trial project can be to count the number of clinical resources occupied in different dimensions in the ongoing associated clinical trial project to form a clinical resource occupancy vector. Wherein, each dimension of the vector represents the number of clinical resources occupied in different dimensions. Wherein, the dimension of each clinical resource can include the number of subjects, the number of clinical trial coordinators, etc. Correspondingly, the total amount of clinical resources can also be represented in the form of a vector. Wherein, each dimension of the vector representing the total amount of clinical resources can also represent the amount of clinical resources in different dimensions. Correspondingly, in the method for determining the clinical resource surplus of the implementer according to the total amount of clinical resources and the clinical resource occupancy, the corresponding dimensions of the vector representing the total amount of clinical resources and the vector representing the amount of clinical resource occupancy can be calculated to obtain the clinical resource surplus. For example, the value of each dimension of the vector of the total amount of clinical resources can be subtracted from the value of the corresponding dimension in the vector representing the amount of clinical resource occupancy. Of course, the clinical resources corresponding to the clinical trial project can also be recorded in a data table, and each field in the data table can represent a clinical resource of one dimension. Correspondingly, the method for determining the implementer's clinical resource surplus based on the total clinical resources and the clinical resource occupancy can also be to calculate the field values ​​in the data table recording the total clinical resources and the field values ​​in the data table recording the clinical resource occupancy to generate a data table for recording the clinical resource surplus.

[0047] In some embodiments, the method for calculating the clinical resource occupancy of the associated clinical trial project can also calculate the clinical resources of different dimensions required by the associated clinical trial project by a weighted method to obtain the clinical resource occupancy score corresponding to the associated clinical trial project. The clinical resource occupancy score can be used to represent the overall situation of the clinical resources occupied by the associated clinical trial project. Correspondingly, in the method for determining the clinical resource margin of the implementer based on the total clinical resources and the clinical resource occupancy, the total clinical resource score corresponding to the total clinical resources can also be calculated by the same weight as the clinical resource occupancy score of the associated clinical trial project. The total clinical resource score can be used to represent the overall situation of the total clinical resources of the implementer. Then, the clinical resource margin is determined based on the total clinical resource score and the clinical resource occupancy score. For example, the score obtained by subtracting the clinical resource occupancy score from the total clinical resource score can be used as the clinical resource margin score. The clinical resource margin score is represented by the clinical resource margin score.

[0048] In some embodiments, the step of calculating the clinical resource occupancy of the associated clinical trial project includes: calculating the clinical resource occupancy of the existing clinical trial project as time progresses; correspondingly, the step of determining the clinical resource surplus of the implementer based on the total clinical resources and the clinical resource occupancy includes: using the clinical resource occupancy to derive the clinical resource surplus of the implementer as time progresses.

[0049] A clinical trial project may take a long time from its launch to its completion. Moreover, a clinical trial project may have multiple trial phases. During the implementation of the clinical trial project, the clinical resource occupancy of the implementer may change according to the clinical trial projects being carried out at the same time. Specifically, for example, the clinical trial project may release the corresponding clinical coordinator resources after completing the entire clinical trial project. In some embodiments, the clinical trial project may also release certain subject resources or other human resources after completing a phase of the trial. Correspondingly, the planned clinical resource occupancy of the target clinical trial project may also change with the progress of time. Therefore, the clinical resource occupancy over time may be calculated in the process of calculating the clinical resource occupancy of the associated clinical trial project. Moreover, according to the information of the clinical resource occupancy over time and the clinical resource occupancy of the corresponding plan of the target clinical trial project, the resource vacancy in different time periods may be better determined.

[0050] The method for calculating the clinical resource occupancy of the existing clinical trial project over time can be to count the clinical resource occupancy over time in a data table recording the clinical trial project information. Specifically, the data table field can represent the number of clinical resources occupied in different dimensions in the clinical trial project. Each record can correspond to the clinical resource information of a stage of the clinical trial project. Among them, the clinical resources required for the clinical trial projects of the same stage tend to be the same. In addition, the fields of the data table can also include a start and end time field for recording the start and end time of multiple stages of the clinical trial project. According to the start and end time fields, the clinical resource occupancy occupied by the existing clinical trial projects in each stage of the target clinical trial project can be counted. Correspondingly, the method for using the clinical resource occupancy to obtain the clinical resource surplus of the implementer over time can be based on the start and end time fields in the data table, respectively determine the maximum value of the clinical resource occupancy in each stage of the target clinical trial project, as the clinical resource occupancy of the corresponding node of the target clinical trial project. Then, according to the total amount of clinical resources of the implementer in the corresponding time period and the corresponding clinical resource occupancy, the clinical resource surplus is determined. Specifically, the maximum clinical resource usage in each phase of the target clinical trial project can be compared with the minimum total clinical resource usage, wherein the total clinical resource usage can also be the total clinical resource usage over time.

[0051] In some embodiments, the associated clinical trial project includes the number of historical intended participants involved in the indication targeted by the target clinical trial project recruited in the clinical clinical trial project implemented by the implementer; the method further includes: calculating the expected total number of subjects according to the number of historical intended participants, and the total clinical resources include the expected total number of subjects; accordingly, the step of calculating the clinical resource occupancy of the associated clinical trial project includes: obtaining the number of associated subjects occupied by the associated clinical trial project, and the clinical resource occupancy includes the number of associated subjects; accordingly, the step of determining the clinical resource surplus of the implementer according to the total clinical resources and the clinical resource occupancy includes: using the expected total number of subjects to divide the number of associated subjects to obtain the subject resource surplus, and the clinical resource surplus includes the subject resource surplus. The total clinical resources may include the number of subjects. For different implementers, the number of subjects may be different. Specifically, for example, the implementer may be a hospital. The number of subjects in a hospital with better medical resources is relatively richer than that in a hospital with insufficient medical resources. Therefore, based on the number of historical potential participants recruited in the associated clinical trial projects involving the indications targeted by the target clinical trial projects, the estimated total number of subjects of the corresponding implementer can be obtained, thereby determining the resource surplus of the implementer.

[0052] The historical intended participants may be the intended participants of the subjects of the associated clinical trial projects accumulated in the database. In some embodiments, the historical intended participants may also be potential pathogens with indications for the associated clinical trial projects. In addition, the historical intended participants may also include information such as the corresponding intended participation time, whether the participation was successful, and the reason for participation.

[0053] The estimated total number of subjects may represent the total number of subjects inferred based on the number of historical intended participants. Specifically, the estimated total number of subjects may be an estimate of the total number of subjects of the implementing party in each trial phase of the target clinical trial project. Of course, the estimated total number of subjects may also change over time. For example, the total number of subjects in different seasons may change due to different probabilities of the indications.

[0054] Based on the number of historical intended participants, the total number of subjects can be calculated. Among them, the method for calculating the total number of subjects expected according to the number of historical intended participants can be to average the number of historical intended participants of multiple related clinical trial projects, and then multiply the average value by the probability of successful participation according to the historical intended participants to obtain the total number of subjects expected. Among them, the probability of successful participation of historical intended participants can be obtained based on historical statistics. Of course, historical intended participants can also be divided into multiple groups according to the indication information of the related clinical trial projects participated by historical intended participants. Among them, each group can correspond to multiple indications of the target clinical trial project. Then the corresponding expected number of subjects can be obtained for each group. In some embodiments, historical intended participants in the same period of history can also be divided into groups corresponding to the trial stage based on the time of different trial stages of the target clinical trial project, and the expected number of subjects is calculated according to the corresponding group, and the expected total number of subjects with a time dimension is formed by the corresponding expected number of subjects in different trial stages.

[0055] The number of associated subjects may be the number of subjects required for the associated clinical trial project being carried out. The number of associated subjects may also be the number of associated subjects corresponding to each time period determined according to the number of subjects required for the associated clinical trial project planned to be carried out in each time period.

[0056] The method for obtaining the number of associated subjects of the associated clinical trial project may be to obtain the number of associated subjects of the associated clinical trial project being carried out by the corresponding implementer in the database. In some embodiments, the method for obtaining the number of associated subjects may also be to search the database for the number of subjects required for the associated clinical trial project planned to be carried out by the implementer at the corresponding stage according to different trial stages of the target clinical trial project, as the number of associated subjects.

[0057] By using the estimated total number of subjects to subtract the number of associated subjects, the subject resource surplus can be obtained. The subject resource surplus can be a part of the clinical resource surplus. The associated number of subjects can include the number of subjects required for different trial stages of the target clinical trial project. Accordingly, the method of using the estimated total number of subjects to subtract the target number of subjects to obtain the subject resource surplus can be to subtract the target number of subjects corresponding to each stage from the estimated total number of subjects for each trial stage, so as to obtain the clinical resource surplus including the subject resource surplus for each stage.

[0058] In some embodiments, the project requirement information includes the planned enrollment time period of the target clinical trial project; the method also includes: determining the total number of subjects by using the number of subjects recruited by the implementing party for the related clinical trial projects that are implemented and completed in the same historical period as the planned enrollment time period; wherein the total amount of clinical resources includes the total number of subjects; correspondingly, the step of calculating the clinical resource occupancy of the related clinical trial projects includes: obtaining the number of associated subjects of the related clinical trial projects, and the clinical resource occupancy includes the number of associated subjects; correspondingly, the step of determining the implementer's clinical resource surplus based on the total amount of clinical resources and the clinical resource occupancy includes: using the total amount of subjects to divide the number of associated subjects to obtain the subject resource surplus, and the clinical resource surplus includes the subject resource surplus.

[0059] When conducting clinical trial projects, subjects are more important clinical resources. The safety and effectiveness of the research subjects of the clinical trial projects can be better reflected through the various test indicators of the subjects. Therefore, the clinical resources of the associated clinical trial projects may include the number of subjects. The total number of subjects in the planned enrollment period is estimated by the total number of subjects recruited by the associated clinical trial projects that are historically contemporaneous with the planned enrollment time, which is conducive to determining the clinical resource surplus at the corresponding planned enrollment time.

[0060] The subject may refer to a person who participates in a clinical trial project. The subject may meet the requirements of the clinical trial project. Specifically, for example, the subject may meet the indications of the clinical trial project.

[0061] The planned enrollment time period may represent the time period during which the subject enters the treatment group during the clinical trial. The historical period may represent a time period with the same interval. For example, the historical period may represent the same time period every year. The time period may be only a few days or several months. Specifically, for example, the historical period may refer to the same month every year. Among them, the interval time may be one year. The time period may last for one month. The associated clinical trial project whose planned enrollment time period belongs to the historical period may represent the associated clinical trial project carried out in the time period with the same time interval as the planned enrollment time in history. Specifically, the historical period may refer to the associated clinical trial project that is the same period as the planned enrollment time every year in history. In some embodiments, the periodic changing conditions such as the environment and temperature in the historical period may tend to be the same, so that the disease symptoms that are more likely to occur in a specific time period every year have certain regularities. For example, colds and other diseases are prone to occur in the months of changing seasons. The subjects in the historical period may be converted based on the pathogens in the historical period, and accordingly, the number of subjects in the historical period has certain similarities. Therefore, the total number of subjects in the enrollment time can be estimated based on the number of subjects in the historical period.

[0062] The method for determining the total number of subjects by using the number of subjects recruited by the associated clinical trial project implemented by the implementer and belonging to the same historical period as the planned enrollment time period can be to extract the number of subjects in the same historical period from the database corresponding to the implementer, and then build a prediction model for the number of subjects corresponding to the planned enrollment time of the target clinical trial project based on the number of subjects in the same historical period. The total number of subjects can be determined by the subject prediction model. Among them, the prediction model can be built based on a variety of regression models. For example, a linear regression model, a neural network model, etc.

[0063] In some embodiments, the project requirement information includes personnel screening criteria for constraining the physical condition of personnel participating in the target clinical trial project; the step of calculating the estimated total number of subjects based on the number of historical potential participants includes: screening the historical potential participants according to the personnel screening criteria to obtain the estimated total number of subjects.

[0064] The clinical resources required for the associated clinical trial project may be partially the same as the clinical resources required for the target clinical trial project. However, in some embodiments, the subjects required for the associated clinical trial project and the subjects required for the target clinical trial project are still somewhat different. Therefore, in the process of estimating the total number of subjects by the number of historical intended participants, the intended participants can be screened according to the personnel screening criteria to obtain the estimated total number of subjects.

[0065] The screening criteria may be used to constrain the physical condition of the persons participating in the clinical trial project. The screening criteria may also be referred to as inclusion and exclusion criteria. The screening criteria may include inclusion criteria and exclusion criteria. The inclusion criteria may be the basic conditions for the intended participants to be enrolled. Specifically, for example, the inclusion criteria may be the age of the intended participants who can become subjects. The exclusion criteria may be other special circumstances that do not meet the requirements of the trial on the basis of meeting the inclusion criteria. Specifically, for example, the exclusion criteria may be a restriction requirement for limiting the previous medication history of the intended participants to be enrolled.

[0066] The method for screening the intended participants according to the personnel screening criteria to obtain the estimated total number of subjects may be to select historical intended participants who meet the screening criteria from a database that records historical intended participants according to the screening criteria, and then obtain the estimated total number of subjects based on the screened historical intended participants. Among them, the method for obtaining the estimated total number of subjects based on the screened historical intended participants may be to count the number of historical intended participants screened within a time period as the estimated total number of subjects. In some embodiments, the number of historical intended participants screened within a time period may also be multiplied by the subject conversion rate to obtain the estimated total number of subjects. Among them, the subject conversion rate can characterize the probability that the historical intended participants who meet the screening criteria actually participate in the clinical trial project.

[0067] In some embodiments, the implementer has a designated project sponsor; the total amount of clinical resources includes all the man-hour resources of the clinical coordinator of the designated project sponsor; accordingly, the step of calculating the clinical resource occupancy of the associated clinical trial project includes: obtaining the man-hour resources of the designated project sponsor occupied by the associated clinical trial project; accordingly, the step of determining the clinical resource surplus of the implementer based on the total amount of clinical resources and the clinical resource occupancy includes: subtracting the man-hour resources occupied by the associated clinical trial project from the total man-hour resources to obtain the man-hour resource surplus; wherein, the clinical resource surplus includes the man-hour resource surplus.

[0068] When conducting a clinical trial project, the man-hour resources of a clinical coordinator are required. Among them, the clinical trial resources may include the man-hour resources of the clinical coordinator. In some embodiments, the clinical trial resources may also include the number of the clinical coordinators. The sponsor may have multiple clinical trial coordinators and other personnel. The personnel may be assigned to different clinical trial projects. Therefore, for the clinical resource surplus of the target clinical trial project, it is also possible to consider the total man-hour resources formed by the man-hour resources of the personnel who can participate in the target clinical trial project in the designated sponsor to determine the man-hour resource surplus. Among them, the clinical resource surplus may include the man-hour resource surplus.

[0069] The sponsor may be an institution that assists the sponsor in carrying out clinical trial projects. The sponsor may be a clinical institution management organization. In some embodiments, the sponsor may also be a pharmaceutical R&D contract outsourcing service organization.

[0070] The method for obtaining the man-hour resources occupied by the associated clinical trial project of the designated project sponsor may be to directly obtain the man-hour resources of the multiple associated clinical trial projects corresponding to the designated sponsor in the database to determine the man-hour resources occupied by the sponsor. Of course, the server may also determine the man-hour resources occupied by the target clinical trial project at different trial stages according to the planned man-hour resources of the sponsor according to the associated clinical trial projects at different trial stages.

[0071] The method of subtracting the man-hour resources occupied by the associated clinical trial project from the total man-hour resources to obtain the man-hour resource surplus can be used. The man-hour resource surplus can be a part of the clinical resource surplus. The man-hour resource surplus can represent the man-hour resources of the clinical coordinator required for different trial stages of the target clinical trial project. Accordingly, the method of subtracting the man-hour resources occupied by the associated clinical trial project from the total man-hour resources to obtain the man-hour resource surplus can be to subtract the man-hour resources occupied by each stage from all the man-hour resources of the organizer of each trial stage, and obtain the clinical resource surplus including the man-hour resource surplus corresponding to each stage.

[0072] In some embodiments, the step of recommending a target implementer for the target clinical trial project based on the clinical resource surplus includes: generating a matching degree between the implementer and the target clinical trial project based on the clinical resource surplus; the matching degree can be used to indicate the degree of fit between the implementer and the target clinical trial project; and recommending a target implementer for the clinical trial project according to the matching degree.

[0073] Conducting clinical trial research usually requires multiple implementers to conduct it simultaneously, so the matching degree of the implementer of the target clinical trial project can be determined by the resource slack. Through the quantitative matching degree, the target implementer suitable for conducting the target clinical trial project can be recommended from multiple implementers. In addition, in the process of recommending implementers, multiple dimensional considerations can also be comprehensively considered and expressed through matching degree, so that users can finally determine the target implementer.

[0074] The matching degree can be used to indicate the degree of fit between the implementer and the target clinical trial project. An implementer with a higher matching degree can be indicated as suitable for carrying out the target clinical trial project. Correspondingly, an implementer with a lower matching degree has a relatively lower degree of fit for carrying out the target clinical trial project.

[0075] The method for generating the matching degree between the implementer and the target clinical trial project based on the clinical resource surplus can be to generate the matching degree based on the size of the resource surplus. Specifically, the clinical resource surplus can be input into a piecewise function to obtain the matching degree of the implementer corresponding to different values ​​of the clinical resource surplus. Among them, the implementer with a large resource surplus indicates that when encountering some special circumstances that lead to the lack of clinical resources in the process of carrying out the target clinical trial project, it can be supplemented quickly. Therefore, the implementer with a large resource surplus can be given a relatively high matching degree. Correspondingly, the implementer with a small resource surplus is more difficult to supplement after encountering special circumstances that lead to the lack of clinical resources, so the matching degree can be appropriately lowered. In some embodiments, when generating the matching degree, information of other dimensions can also be added, and the matching degree is calculated by a weighted method. Specifically, for example, the dimension can be the number of clinical trial projects that the implementer has done in the past with the same research object as the target clinical trial project. A high number can be considered that the implementer has more experience in carrying out the target clinical trial project, so the matching degree can be added according to the number of clinical trial projects. Of course, the credit and customer evaluation of the implementer can also be considered in the process of calculating the matching degree.

[0076] The method for recommending target implementers for the clinical trial project according to the matching degree may be to sort the implementers according to the matching degree corresponding to each implementer, and recommend several implementers with the highest matching degree. The number of recommended implementers may be set by the user. Of course, in some implementers, according to the matching degree threshold set by the user, implementers with a matching degree greater than the matching degree threshold may be selected for recommendation.

[0077] In some embodiments, the method for recommending implementers of the clinical trial project also includes: determining multiple calculation dimensions based on the implementer's existing clinical trial projects and the project requirement information; wherein the multiple calculation dimensions include the clinical resource surplus and other calculation dimensions; accordingly, the step of generating a matching degree between the implementer and the target clinical trial project based on the clinical resource surplus includes: calculating the matching degree between the implementer and the target clinical trial project based on the other calculation dimensions and the clinical resource surplus.

[0078] In some embodiments, determining the matching degree only by clinical resource availability cannot well recommend projects that meet all the requirements of the sponsor. Therefore, the matching degree between the implementer and the target clinical trial can also be determined based on information from multiple dimensions.

[0079] The calculation dimension may be a dimension considered when calculating the matching degree between the implementer and the target clinical trial project. The calculation dimension may be used to calculate the matching degree. Among them, the calculation dimension may include the clinical resource surplus. Among them, the calculation dimension may also be formed based on the existing clinical trial projects and project requirement information of the implementer. Specifically, for example, the calculation dimension may be the number of associated clinical trial projects in the existing clinical trial projects of the implementer, which may characterize the implementer's experience in conducting the target clinical trial project. Of course, the calculation dimension may also be specified information in the project requirement information. For example, the project requirement information may include a specified score of the implementer to indicate the sponsor's intention to the implementer. The specified score may be a calculation dimension. Each calculation dimension may include a corresponding calculation weight, which may represent the contribution of the calculation dimension to the calculation of the matching degree of the implementer corresponding to the target clinical trial project.

[0080] Among them, other calculation dimensions may be calculation dimensions that do not include clinical resource margin in the multiple calculation dimensions.

[0081] Based on the other calculation dimensions and the clinical resource surplus, the method for calculating the degree of match between the implementer and the target clinical trial project may be to calculate a weighted score according to a preset weight for each calculation dimension to obtain the degree of match. Of course, a training sample may also be constructed in advance based on multiple existing calculation dimensions and corresponding degrees of match. Based on the training samples and the machine learning model, a degree of match calculation model for calculating the degree of match may be trained. By inputting the other calculation dimensions and the clinical resource surplus into the degree of match calculation model, the degree of match between the implementer and the target clinical trial project may be obtained.

[0082] In some embodiments, the method further includes: if the implementer does not have the associated clinical trial project, lowering the matching degree of the implementer; or, if the associated clinical trial project owned by the implementer is in a specified state, lowering the matching degree of the implementer; wherein the specified state includes a state indicating insufficient man-hour resources for the associated clinical trial project; or, if the target clinical trial project has a designated project organizer; and if the designated project organizer is not the designated organizer of the implementer, lowering the matching degree of the implementer.

[0083] In view of certain situations in which the implementer is conducting a clinical trial project, the matching degree of the implementer can be appropriately adjusted to ensure that the matching degree can better represent the degree of fit between the implementer and the target clinical trial project.

[0084] In some embodiments, the implementer may not have an associated clinical trial project, which may indicate, on the one hand, that the implementer has no experience in conducting similar clinical trial projects; on the other hand, it may not be able to provide much information for recommendation, thereby reducing the matching degree between the implementer and the target clinical trial project.

[0085] In addition, when the clinical trial project is associated

[0086] The designated state may be the development state of the associated clinical trial project. The designated state may also include a state for indicating insufficient man-hour resources for the associated clinical trial project. The state of insufficient man-hour resources may indicate that there is a problem with the human resources of the sponsor. Specifically, for example, the man-hour resources of the human resources for executing the associated clinical trial project are insufficient. Of course, the designated state may also include that the state of the associated clinical trial project may be a smooth progress state or a stagnant state. Accordingly, when the associated clinical trial project of the implementer is in the designated state, the matching degree of the implementer may be reduced. In addition, in some implementers, the implementer may have a hot center state. If the status of the associated clinical trial project is stagnant in the enrollment progress of the implementer or the non-associated clinical trial project of the implementer is stagnant too much, the possible reason may be due to a shortage of human resources or a shortage of the number of sources of disease, then the designated implementer may be in a hot center state. Accordingly, the matching degree of the corresponding implementer may be reduced. In addition, the hot center state may be adjusted accordingly with the relevant data of the implementer. Accordingly, the matching degree of the implementer with the target clinical trial project will also be adjusted accordingly.

[0087] In some embodiments, the project requirement information of the target clinical trial project may include a designated sponsor. The implementer may have a cooperative relationship with the sponsor, and if the designated sponsor of the project is not the designated sponsor of the implementer, the matching degree of the implementer may be reduced to meet the project requirement information of the target clinical trial project.

[0088] See also Figure 3 The embodiment of this specification provides a device for recommending implementers of clinical trial projects, and the device includes: a receiving module, an associated clinical trial project determination module, a clinical resource surplus determination module and an implementer recommendation module.

[0089] The receiving module is used to receive the project requirement information of the target clinical trial project.

[0090] The associated clinical trial project determination module is used to determine, based on the project requirement information, associated clinical trial projects among the implementer's existing clinical trial projects that are associated with the target clinical trial project; wherein the clinical resources required for the associated clinical trial projects are at least partially the same as the clinical resources required for the target clinical trial project.

[0091] The clinical resource margin determination module is used to obtain the clinical resource margin of the implementer corresponding to the target clinical trial project according to the associated clinical trial project; wherein the clinical resource margin represents the amount of unoccupied clinical resources.

[0092] The implementer recommendation module is used to recommend the implementer of the target clinical trial project based on the clinical resource surplus.

[0093] Regarding the specific functions and effects achieved by the device recommended by the implementer of the clinical trial project, please refer to other embodiments of this specification for comparative explanation, and no further details will be given here. The various modules in the device recommended by the implementer of the clinical trial project can be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0094] In some implementations, a computer device may be provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the method steps in the implementations are implemented.

[0095] In some embodiments, a computer-readable storage medium may be provided, on which a computer program is stored, and when the computer program is executed by a processor, the method steps in the embodiment are implemented. Regarding the specific functions and effects achieved by the device for recommending the implementer of the clinical trial project, reference can be made to other embodiments of this specification for comparative explanation, and no further description is given here. The various modules in the device for recommending the implementer of the clinical trial project may be implemented in whole or in part by software, hardware, and a combination thereof. The modules may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0096] In some implementations, a computer device may be provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the method steps in the implementations are implemented.

[0097] In some embodiments, a computer-readable storage medium may be provided, on which a computer program is stored. When the computer program is executed by a processor, the method steps in the embodiments are implemented.

[0098] Those of ordinary skill in the art can understand that all or part of the processes in the implementation method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the implementation methods of the methods described. Among them, any reference to memory, storage, database or other media used in the various implementations provided in this specification may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0099] It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0100] The descriptions of the various embodiments of this specification are made in a progressive manner. Different embodiments focus on describing the parts that are different from other embodiments. After reading this specification, a person skilled in the art can know that the various embodiments in this specification, as well as the various technical features disclosed in the embodiments, can be combined in more ways. To make the description concise, not all possible combinations of the various technical features in the embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0101] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0102] The above description is only an implementation method of this case and is not intended to limit the scope of protection of the claims of this case. For those skilled in the art, this case may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this case should be included in the scope of the claims of this case.

Claims

1. A method for recommending implementers of a clinical trial project, characterized in that: Applied to a server, the method comprises: Receive project requirement information of target clinical trial projects; Based on the project requirement information, determining, among the existing clinical trial projects of the implementer, an associated clinical trial project that is associated with the target clinical trial project; wherein the clinical resources required by the associated clinical trial project are at least partially the same as the clinical resources required by the target clinical trial project; According to the associated clinical trial project, the clinical resource vacancy of the implementer corresponding to the target clinical trial project is obtained; wherein the clinical resource vacancy represents the quantity of unoccupied clinical resources; Recommending the target implementer of the target clinical trial project based on the available clinical resources; The implementing party has a total amount of clinical resources; and according to the associated clinical trial project, the step of obtaining the remaining amount of clinical resources of the implementing party corresponding to the target clinical trial project comprises: Calculate the clinical resource usage of the associated clinical trial project; Determine the clinical resource surplus of the implementer according to the total clinical resources and the clinical resource occupancy; Among them, when the step of calculating the clinical resource occupancy of the associated clinical trial project is implemented as calculating the clinical resource occupancy of the existing clinical trial project as time progresses, the step of determining the clinical resource surplus of the implementer based on the total clinical resources and the clinical resource occupancy includes: using the clinical resource occupancy to derive the clinical resource surplus of the implementer as time progresses.

2. The method according to claim 1, characterized in that The project requirement information includes the target clinical resource requirement of the target clinical trial project; Accordingly, the step of recommending a target implementer of the target clinical trial project based on the clinical resource availability includes: Priority is given to recommending target implementers whose clinical resource surplus meets the target clinical resource demand.

3. The method according to claim 1, characterized in that The project requirement information includes indication information, and the indication information involved in the associated clinical trial project is at least partially the same as that involved in the target clinical trial project.

4. The method according to claim 1, characterized in that: The associated clinical trial project includes the number of historical intended participants recruited from the clinical trial project completed by the implementer and involving the indication targeted by the target clinical trial project; the method further includes: Calculate the estimated total number of subjects based on the number of historical intended participants, and the total amount of clinical resources includes the estimated total number of subjects; Accordingly, the step of calculating the clinical resource usage of the associated clinical trial project includes: obtaining the number of associated subjects of the associated clinical trial project, the clinical resource usage including the number of associated subjects; Correspondingly, the step of determining the implementer's clinical resource surplus based on the total clinical resource amount and the clinical resource occupancy includes: using the estimated total number of subjects to divide the number of associated subjects to obtain the subject resource surplus, and the clinical resource surplus includes the subject resource surplus.

5. The method according to claim 1, characterized in that The project requirement information includes the planned enrollment period of the target clinical trial project; the method further includes: The total number of subjects is determined by using the number of subjects recruited by the implementing party for the associated clinical trial projects that are completed in the same historical period as the planned enrollment period; wherein the total number of clinical resources includes the total number of subjects; Accordingly, the step of calculating the clinical resource usage of the associated clinical trial project includes: obtaining the number of associated subjects of the target clinical trial project, the clinical resource usage including the number of associated subjects; Correspondingly, the step of determining the implementer's clinical resource surplus based on the total clinical resource amount and the clinical resource occupancy includes: using the total number of subjects to divide the number of associated subjects to obtain the subject resource surplus, and the clinical resource surplus includes the subject resource surplus.

6. The method according to claim 5, characterized in that The project requirement information includes a personnel screening standard for constraining the physical condition of personnel participating in the target clinical trial project; the step of calculating the estimated total number of subjects based on the number of historical intended participants includes: The historical potential participants are screened according to the personnel screening criteria to obtain the estimated total number of subjects.

7. The method according to claim 1, characterized in that The implementer has a designated project sponsor; the total amount of clinical resources includes all man-hour resources of the clinical coordinator of the designated project sponsor; Accordingly, the step of calculating the clinical resource usage of the associated clinical trial project includes: Obtaining the man-hour resources of the designated project sponsor occupied by the associated clinical trial project; Accordingly, the step of determining the clinical resource margin of the implementer according to the total clinical resource amount and the clinical resource occupancy amount includes: The man-hour resource surplus is obtained by subtracting the man-hour resources occupied by the associated clinical trial project from the total man-hour resources; wherein the clinical resource surplus includes the man-hour resource surplus.

8. The method according to claim 1, characterized in that The step of recommending a target implementer of the target clinical trial project according to the clinical resource surplus includes: Generate a matching degree between the implementer and the target clinical trial project based on the clinical resource surplus; the matching degree is used to indicate the degree of fit between the implementer and the target clinical trial project; According to the matching degree, a target implementer is recommended for the clinical trial project.

9. The method according to claim 8, characterized in that The method further comprises: Determine multiple calculation dimensions according to the existing clinical trial projects of the implementer and the project requirement information; wherein the multiple calculation dimensions include the clinical resource surplus and other calculation dimensions; Accordingly, the step of generating the matching degree between the implementer and the target clinical trial project based on the clinical resource margin includes: Based on the other calculation dimensions and the clinical resource surplus, the matching degree between the implementer and the target clinical trial project is calculated.

10. The method according to claim 8, characterized in that The method further comprises: If the implementer does not have the associated clinical trial project, reduce the matching degree of the implementer; or When the associated clinical trial project of the implementer is in a specified state, reducing the matching degree of the implementer; wherein the specified state includes a state indicating that the man-hour resources of the associated clinical trial project are insufficient; Alternatively, the target clinical trial project has a designated project sponsor; In the case that the designated organizer of the project is not the designated organizer of the implementer, the matching degree of the implementer is reduced.

11. A device for recommending implementers of a clinical trial project, characterized in that: The device comprises: A receiving module, used to receive project requirement information of a target clinical trial project; An associated clinical trial project determination module, used to determine, based on the project requirement information, an associated clinical trial project among the existing clinical trial projects of the implementer that is associated with the target clinical trial project; wherein the clinical resources required for the associated clinical trial project are at least partially the same as the clinical resources required for the target clinical trial project; A clinical resource margin determination module, configured to obtain the clinical resource margin of the implementer corresponding to the target clinical trial project according to the associated clinical trial project; wherein the clinical resource margin represents the amount of unoccupied clinical resources; An implementer recommendation module, used for recommending a target implementer of the target clinical trial project according to the clinical resource availability; The implementing party has a total amount of clinical resources; the step of the clinical resource surplus determination module obtaining the clinical resource surplus of the implementing party corresponding to the target clinical trial project according to the associated clinical trial project includes: Calculate the clinical resource usage of the associated clinical trial project; Determine the clinical resource surplus of the implementer according to the total clinical resources and the clinical resource occupancy; Among them, when the step of calculating the clinical resource occupancy of the associated clinical trial project is implemented as calculating the clinical resource occupancy of the existing clinical trial project as time progresses, the step of determining the clinical resource surplus of the implementer based on the total clinical resources and the clinical resource occupancy includes: using the clinical resource occupancy to derive the clinical resource surplus of the implementer as time progresses.

12. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 10 are implemented.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 10 are implemented.

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