CN111143668A - Medical resource recommendation information processing system, method, device and storage medium - Google Patents
Medical resource recommendation information processing system, method, device and storage medium Download PDFInfo
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Abstract
The invention discloses a medical resource recommendation information processing system, method, device and storage medium. The system comprises a system framework and an execution unit, wherein the system framework comprises a presentation layer, a business logic layer, a data layer, a base layer and a peripheral interface for data integration and interaction; the execution unit comprises a first acquisition module, a screening module and an announcement module. The method processes medical resource recommendation information through the system. By using the method of the invention, good medical resource information can be provided for patients, the publicity of medical resources is ensured, and simultaneously, the abstract medical level is quantified through sequencing; the patient can be relieved on the medical consultation result and the diagnosis specialty, the trust degree of the patient on doctors and hospitals is improved, and the doctor-patient relationship can be effectively relieved. The invention can be widely applied to the technical field of medical information.
Description
Technical Field
The invention relates to the technical field of medical information, in particular to a medical resource recommendation information processing system, method, device and storage medium.
Background
In the current society, along with the improvement of living standard, people pay more attention to their health condition, and correspondingly, the total amount of medical and health resources in China is seriously insufficient, and the increase speed of the medical and health resources cannot well adapt to the existing public demand, so that under the current medical system, because of the shortage of high-quality medical resources relative to the demands of residents, patients are difficult to see experts in large hospitals.
Moreover, medical resources among hospitals are different on the whole, doctor resources of each hospital are different, but different doctor seniorities and levels are different, but at present, common patients are difficult to know how the levels of different hospitals or doctors are, so that the obtained medical consultation results and diagnosis specialties are difficult to be intuitively known, the trust of the patients on doctors and hospitals is low, the doctor-patient information communication is not equal, and the doctor-patient relationship is easy to be tense. These problems in the prior art are urgently needed to be solved.
Disclosure of Invention
The present invention aims to solve at least to some extent one of the technical problems existing in the prior art. Therefore, the embodiment of the invention provides a medical resource recommendation information processing system, method, device and storage medium, which can sequence the qualification levels of hospitals and doctors and display the sequencing result; and receiving a medical problem consultation request of the consultant, and recommending appropriate medical resources in the field to be consulted by the consultant.
The technical scheme adopted by the embodiment of the invention is as follows:
in a first aspect, an embodiment of the present invention provides a medical resource recommendation information processing system, including: a system framework and an execution unit;
the system framework comprises a presentation layer, a business logic layer, a data layer, a base layer and a peripheral interface for data integration and interaction; the presentation layer comprises a view layer, a control layer and a form model, wherein the view layer is used for displaying a visual interface, the form model is used for outputting form information based on a preset format, and the control layer is used for controlling the view layer and the form model and sending interaction information to the service logic layer; the service logic layer is used for executing corresponding service functions according to the interaction information; the data layer is used for storing and/or outputting medical resource recommendation information and service data; the basic layer is used for providing a network server platform and software and hardware facilities;
the execution unit includes:
the system comprises a first acquisition module, a screening module and a second acquisition module, wherein the first acquisition module is used for acquiring medical resource information and sending the medical resource information to the screening module; the medical resource information comprises hospital information and doctor information;
the screening module is used for sorting and screening the medical resource information according to the medical field and sending a screening result to the showing module;
and the display module is used for displaying the screening result of the medical resource information.
Further, the execution unit further includes:
the second acquisition module is used for acquiring a consultation request for medical resources and sending the consultation request to the analysis module;
the analysis module is used for analyzing the consultation request and generating a corresponding problem category label;
the matching module is used for matching the consultation request carrying the problem type label with the screening result of the medical resource information and sending the matching result to the feedback module;
the feedback module is used for sending the matching result output by the matching module to the consultant;
the screening module is also used for sending the screening result to the matching module.
Further, the hospital information includes hospital grade information, and the doctor information includes social job information, department grade information, teaching job title information, with-teaching qualification information, and clinical qualification information of the doctor.
Further, the screening module specifically includes:
a scoring submodule for scoring a hospital and/or a doctor based on the medical resource information;
the weight synthesis submodule is used for summarizing the total scores of all the scoring items of the hospital and/or the doctor;
and the sorting submodule is used for sorting the total scores of the hospitals and/or doctors according to the sizes and outputting the total scores as a screening result according to a preset nominal value.
In a second aspect, an embodiment of the present invention provides a medical resource recommendation information processing method, including the following steps:
acquiring medical resource information, wherein the medical resource information comprises hospital information and doctor information;
sequencing and screening the medical resource information according to the medical field;
and displaying the screening result of the medical resource information.
Further, the method comprises the following steps:
acquiring a consultation request for medical resources;
analyzing the consultation request to generate a corresponding problem category label;
and matching the consultation request carrying the problem category label with the screening result of the medical resource information, and sending the matching result to the consultant.
Further, the hospital information includes hospital grade information, and the doctor information includes social job information, department grade information, teaching job title information, with-teaching qualification information, and clinical qualification information of the doctor.
Further, the step of sorting and screening the medical resource information according to the medical field specifically includes:
scoring a hospital and/or a doctor based on the medical resource information;
aggregating the total score of all scoring items for the hospital and/or physician;
and sorting the total scores of the hospitals and/or doctors according to the sizes, and outputting the scores as screening results according to preset nominal values.
In a third aspect, an embodiment of the present invention provides a medical resource recommendation information processing apparatus, including:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one program causes the at least one processor to implement the medical resource recommendation information processing method.
In a fourth aspect, an embodiment of the present invention provides a storage medium, in which processor-executable instructions are stored, and when the processor-executable instructions are executed by a processor, the storage medium is configured to perform the medical resource recommendation information processing method.
Advantages and benefits of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention:
according to the embodiment of the invention, the qualification information of each hospital and doctor is acquired, the qualification levels of the hospitals and doctors are sorted, the sorting result is displayed, and the abstract medical level is quantized through sorting, so that good medical resource information can be provided for patients. The embodiment of the invention can also receive the medical problem consultation request of the consultant and directly recommend proper and reliable medical resources in the field to be consulted by the consultant. In conclusion, the system can recommend hospitals and doctors with high levels in various medical fields, so that the patients can have more intuitive cognition on the obtained medical consultation results and diagnosis specialties, the trust of the patients on the doctors and the hospitals can be improved, and the doctor-patient relationship can be effectively relieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description is made on the drawings of the embodiments of the present invention or the related technical solutions in the prior art, and it should be understood that the drawings in the following description are only for convenience and clarity of describing some embodiments in the technical solutions of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a block diagram of an embodiment of a medical resource recommendation information processing system according to the invention;
FIG. 2 is a block diagram of a system framework in an embodiment of a medical resource recommendation information processing system of the present invention;
FIG. 3 is a schematic diagram of an execution unit in an embodiment of a medical resource recommendation information processing system according to the invention;
FIG. 4 is a schematic diagram of an execution unit in another embodiment of a medical resource recommendation information processing system according to the invention;
fig. 5 is a block diagram illustrating a medical resource recommendation information processing apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. The step numbers in the following embodiments are provided only for convenience of illustration, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
The embodiment of the invention provides a medical resource recommendation information processing system, which is used for acquiring qualification information of each hospital and doctor, sequencing the qualification levels of the hospitals and the doctors and displaying a sequencing result; and receiving a medical problem consultation request of the consultant, and recommending appropriate medical resources in the field to be consulted by the consultant. The system can recommend high-level hospitals and doctors in various medical fields, so that patients can be relieved about the obtained medical consultation results and diagnosis specialties, the trust of the patients on the doctors and the hospitals is improved, and the doctor-patient relationship can be effectively relieved.
Referring to fig. 1, in the embodiment of the present invention, the system includes: a system framework 100 and an execution unit 200;
referring to fig. 2, the system frame 100 adopts a three-layer structure design, and the structure mainly includes:
a presentation layer (UI), a Business Logic Layer (BLL), a data layer (DAL) base layer and a peripheral interface for data integration and interaction. The presentation layer (UI) is mainly used for storing a display page interacted with a user and comprises a view layer, a control layer and a form model, wherein the view layer is used for displaying a visual interface, the form model is used for outputting form information based on a preset format, and the control layer is used for controlling the view layer and the form model and sending interaction information to the service logic layer. The Business Logic Layer (BLL) can analyze the interactive information input by the user, perform logic processing on data and business for specific problems, and execute corresponding business functions. The Data Access Layer (DAL) encapsulates all operations interacting with the database, can directly operate the database to realize functions of adding, deleting, modifying, updating, searching and the like of data, and provides data services for the business logic layer. The basic layer is used for providing a network Server platform and software and hardware facilities, and in the embodiment, the basic layer builds an SQL Server database on a Windows Server 2008/2012 Server operating system and provides setting functions of a Server and a network. The system framework 100 performs communication interaction between layers through a communication interface for data integration and interaction. The communication interface may be any one of a mobile communication network interface, an ethernet communication interface, and the like.
Referring to fig. 3, the execution unit 200 includes:
the first acquisition module 201 is used for acquiring medical resource information and sending the medical resource information to the screening module; the medical resource information comprises hospital information and doctor information;
the screening module 202 is used for sorting and screening the medical resource information according to the medical field and sending the screening result to the display module;
and the displaying module 203 is used for displaying the screening result of the medical resource information.
In the embodiment of the present invention, hospital information in various regions throughout the country is collected, relevant information of doctors in various departments of each hospital is recorded and stored, the collected hospital information and doctor information are sent to the screening module 202 as medical resource information, and the screening module 202 classifies and screens the medical resource information according to medical fields based on a predetermined sorting rule, specifically, the medical fields can be distinguished according to departments, for example, currently implemented hospital department classifications: medical, surgical, gynecological, andrological, ENT and nonclinical departments, each category can be further subdivided: for example, internal medicine may be divided into categories of neurology, cardiovascular medicine, respiratory medicine, digestive medicine, and so forth. And the classification of the medical field can be flexibly carried out, for example, the classification can also be simply distinguished according to the categories of traditional Chinese medicine and western medicine. After the screening is finished, the screening results in each medical field are sent to the publicity module 203 for all public to inquire and select, so that the publicity of medical resource information is ensured, and the abstract medical level is quantified through sequencing.
The embodiment of the invention sorts the disordered and non-standard medical information according to the qualification level of each hospital and doctor in the field, displays the sorting result, can reflect the resource level of the hospital and the professional level of the doctor to a certain extent, can also facilitate the further sorting and classifying operation of the data of the hospital and the doctor, feeds back the screening public result to the hospital bank and the doctor bank foreground, can help the patient to know high-quality medical resources more conveniently, and facilitates the selection of seeking medical care and consultation for the patient.
Referring to fig. 4, further as a preferred embodiment, the system further comprises:
a second obtaining module 204, configured to obtain a consultation request for the medical resource, and send the consultation request to the analyzing module 205;
an analysis module 205, configured to analyze the consultation request and generate a corresponding question category label;
the matching module 206 is configured to match the consultation request with the question category tag and the screening result of the medical resource information, and send the matching result to the feedback module 207;
a feedback module 207 for sending the matching result output by the matching module 206 to the consultant;
the screening module 202 is further configured to send the screening result to the matching module 206.
In the embodiment of the present invention, in order to facilitate a consultant to quickly obtain recommendation information of a relevant doctor and hospital in a corresponding symptom field, a second obtaining module 204 is further provided, which can obtain a consultation request input by the consultant in real time, and then send the request information to an analyzing module 205, extract a basic semantic meaning of the consultation request information through keyword analysis or a neural network technology, and generate a corresponding question category label, where the question category label is a label corresponding to the classification manner of the medical field, that is, classify the problem field that the consultant wants to consult according to the medical field, match the problem category with a screening result of medical resource information in the medical field through a matching module 206, and send the matching result to the consultant through a feedback module 207. Therefore, the corresponding proper medical resources are directly provided for the consultant, the process that the consultant checks the screening result of the medical resource information by himself is omitted, and the proper and preferable medical resources are directly and conveniently recommended for the consultant.
Further as a preferred embodiment, the hospital information includes hospital grade information, and the doctor information includes social duty information, department grade information, instructional title information, education qualification information, and clinical qualification information of a doctor.
Further as a preferred embodiment, the screening module 202 specifically includes:
a scoring submodule 2021 for scoring hospitals and/or doctors based on the medical resource information;
a weight synthesis sub-module 2022 for summarizing the total score of all the scoring items for the hospital and/or doctor;
the sorting submodule 2023 is configured to sort the total scores of the hospitals and/or doctors according to sizes, and output the sorted scores as a screening result with a predetermined denomination.
The embodiment of the invention also provides a medical resource recommendation information processing method, which comprises the following steps:
s1: acquiring medical resource information, wherein the medical resource information comprises hospital information and doctor information;
s2: sequencing and screening the medical resource information according to the medical field;
s3: and displaying the screening result of the medical resource information.
Further as a preferred embodiment, the method further comprises the following steps:
s4: acquiring a consultation request for medical resources;
s5: analyzing the consultation request to generate a corresponding problem category label;
s6: and matching the consultation request carrying the problem category label with the screening result of the medical resource information, and sending the matching result to the consultant.
Further as a preferred embodiment, the hospital information includes hospital grade information, and the doctor information includes social duty information, department grade information, instructional title information, education qualification information, and clinical qualification information of a doctor.
The step S2 of sorting and screening the medical resource information according to the medical field specifically includes:
s21: scoring a hospital and/or a doctor based on the medical resource information;
s22: aggregating the total score of all scoring items for the hospital and/or physician;
s23: and sorting the total scores of the hospitals and/or doctors according to the sizes, and outputting the scores as screening results according to preset nominal values.
The following description is made, in conjunction with the above embodiment of the medical resource recommendation information processing system, on a method for processing medical resource recommendation information by using the system in the present invention:
first, in the embodiment of the present invention, comprehensive information of a doctor is acquired, which specifically includes, but is not limited to, the following aspects: 1. the social job information can be obtained by accurately matching some keywords of the social job, for example, the matching fields are: the social information of doctors is authenticated by means of the Chinese medical society plus the reputation member or the senior member or the common committee or the council or the council master editor or the general editor or the council secretary or the council or the Chinese traditional medicine society plus the council or the council or the council special allowance. And according to the specific job size, evaluating the social job information score X of the doctor to be a numerical value of 0-100. 2. Department level information (Y): counting the number of people in the department with the doctor, wherein the number of people is more than the secondary height (referring to the principal and secondary principal and subordinate physicians), and sorting and weighting according to the number of people from top to bottom. The department with the most number is max, the least number is min, and the result of the department level information score Y is mapped to [0-100 ]. 3. Similarly, the teaching titles (Z) can be divided into professors, sub-professors, instructors and the like, scores of different levels can be flexibly set, and full scores are set to be 100. 4. The teaching qualification (P) is matched with the teaching qualification keywords in the doctor information accurately: for example, the match field is "doctor student mentor" or "doctor research student mentor" or "doctor"; the master teacher or the master research teacher can flexibly set the scores of different levels, and the full score is set to be 100. The clinical job title (Q) is divided into a plurality of grades such as a chief physician, a deputy chief physician and other clinical job titles, the scores of different grades can be flexibly set, and the full score is set to be 100. Grade (R) in the hospital information can be set according to grades of a third-level first hospital and the like, a third-level other hospital, a second-level first hospital and the like, a second-level other hospital, a first-level hospital and an unknown-level hospital, specific grades can be flexibly set, and the grades of the hospitals can be added with the average value of the grades of doctors in all the hospitals to display the overall qualification level of the hospitals. It should be understood that, in the embodiment of the present invention, both the level setting manner and the score option can be flexibly adjusted, and are not particularly fixed.
Then, the scoring is carried out on each scoring item of each doctor and each scoring item of each hospital according to the set scoring mode, the scoring can be quickly given by the system to identify each qualification of the doctor, and finally after the scores of all the scoring items are obtained, the scores can be multiplied by the weight of each scoring item based on the preset value, and the sum is used as the total score of the doctors and the hospitals. For example, one alternative implementation is: the total doctor score is 30% + department 25% + education title 10% + band education title 10% + clinical title 10% + hospital grade 15%, i.e. the total doctor score is 0.3X +0.25Y +0.1Z +0.1P +0.1Q + 0.15R. Of course, the weight of each scoring item can be flexibly changed according to specific needs. And sorting the total scores obtained by calculation according to the sizes, and outputting the total scores as a screening result by using a preset denomination. For example, specifically, the top ten scoring doctors and/or hospitals may be selected as the screening results.
The contents in the system embodiments are all applicable to the method embodiments, the functions specifically realized by the method embodiments are the same as the system embodiments, and the beneficial effects achieved by the method embodiments are also the same as the beneficial effects achieved by the system embodiments.
Referring to fig. 5, an embodiment of the present invention provides a medical resource recommendation information processing apparatus, including:
at least one processor 301;
at least one memory 302 for storing at least one program;
when the at least one program is executed by the at least one processor 301, the at least one processor 301 is caused to implement the medical resource recommendation information processing method.
It can be seen that the contents in the foregoing method embodiments are all applicable to this apparatus embodiment, the functions specifically implemented by this apparatus embodiment are the same as those in the foregoing method embodiment, and the advantageous effects achieved by this apparatus embodiment are also the same as those achieved by the foregoing method embodiment.
The embodiment of the present invention also provides a storage medium, in which instructions executable by the processor 301 are stored, and when the instructions executable by the processor 301 are executed, the instructions are used for executing the medical resource recommendation information processing method.
Similarly, the contents in the foregoing method embodiments are all applicable to this storage medium embodiment, the functions specifically implemented by this storage medium embodiment are the same as those in the foregoing method embodiments, and the advantageous effects achieved by this storage medium embodiment are also the same as those achieved by the foregoing method embodiments.
In alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flow charts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are performed independently.
Furthermore, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the described functions and/or features may be integrated in a single physical device and/or software module, or one or more functions and/or features may be implemented in a separate physical device or software module. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary for an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be understood within the ordinary skill of an engineer, given the nature, function, and internal relationship of the modules. Accordingly, those skilled in the art can, using ordinary skill, practice the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative of and not intended to limit the scope of the invention, which is defined by the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of "one embodiment," "another embodiment," or "certain embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A medical resource recommendation information processing system, comprising: a system framework and an execution unit;
the system framework comprises a presentation layer, a business logic layer, a data layer, a base layer and a peripheral interface for data integration and interaction; the presentation layer comprises a view layer, a control layer and a form model, wherein the view layer is used for displaying a visual interface, the form model is used for outputting form information based on a preset format, and the control layer is used for controlling the view layer and the form model and sending interaction information to the service logic layer; the service logic layer is used for executing corresponding service functions according to the interaction information; the data layer is used for storing and/or outputting medical resource recommendation information and service data; the basic layer is used for providing a network server platform and software and hardware facilities;
the execution unit includes:
the system comprises a first acquisition module, a screening module and a second acquisition module, wherein the first acquisition module is used for acquiring medical resource information and sending the medical resource information to the screening module; the medical resource information comprises hospital information and doctor information;
the screening module is used for sorting and screening the medical resource information according to the medical field and sending a screening result to the showing module;
and the display module is used for displaying the screening result of the medical resource information.
2. The medical resource recommendation information processing system according to claim 1, wherein the execution unit further comprises:
the second acquisition module is used for acquiring a consultation request for medical resources and sending the consultation request to the analysis module;
the analysis module is used for analyzing the consultation request and generating a corresponding problem category label;
the matching module is used for matching the consultation request carrying the problem type label with the screening result of the medical resource information and sending the matching result to the feedback module;
the feedback module is used for sending the matching result output by the matching module to the consultant;
the screening module is also used for sending the screening result to the matching module.
3. The medical resource recommendation information processing system according to claim 1, wherein said hospital information includes hospital grade information, and said doctor information includes doctor's social job information, department grade information, education job title information, with education qualification information, and clinical qualification information.
4. The medical resource recommendation information processing system according to any one of claims 1-3, wherein the filtering module specifically comprises:
a scoring submodule for scoring a hospital and/or a doctor based on the medical resource information;
the weight synthesis submodule is used for summarizing the total scores of all the scoring items of the hospital and/or the doctor;
and the sorting submodule is used for sorting the total scores of the hospitals and/or doctors according to the sizes and outputting the total scores as a screening result according to a preset nominal value.
5. A medical resource recommendation information processing method for processing medical resource recommendation information by the system according to any one of claims 1 to 4, characterized by comprising the steps of:
acquiring medical resource information, wherein the medical resource information comprises hospital information and doctor information;
sequencing and screening the medical resource information according to the medical field;
and displaying the screening result of the medical resource information.
6. The medical resource recommendation information processing method according to claim 5, further comprising the steps of:
acquiring a consultation request for medical resources;
analyzing the consultation request to generate a corresponding problem category label;
and matching the consultation request carrying the problem category label with the screening result of the medical resource information, and sending the matching result to the consultant.
7. The medical resource recommendation information processing method according to claim 5, wherein the hospital information includes hospital grade information, and the doctor information includes social duty information, department grade information, education title information, with education qualification information, and clinical qualification information of a doctor.
8. The method for processing medical resource recommendation information according to any one of claims 5-7, wherein the step of sorting and screening the medical resource information according to medical fields specifically comprises:
scoring a hospital and/or a doctor based on the medical resource information;
aggregating the total score of all scoring items for the hospital and/or physician;
and sorting the total scores of the hospitals and/or doctors according to the sizes, and outputting the scores as screening results according to preset nominal values.
9. A medical resource recommendation information processing apparatus characterized by comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the medical resource recommendation information processing method of any of claims 5-8.
10. A storage medium having stored therein instructions executable by a processor, the storage medium comprising: the processor-executable instructions, when executed by a processor, are for implementing the medical resource recommendation information processing method of any of claims 5-8.
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