CN113161012A - Internet-based medical insurance field main body credit dynamic evaluation method and system - Google Patents
Internet-based medical insurance field main body credit dynamic evaluation method and system Download PDFInfo
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Abstract
The embodiment of the application provides an Internet medical insurance field main body credit dynamic evaluation method and system, and can solve the problems of data loophole, inaccurate evaluation and low efficiency in credit evaluation. The method comprises the following steps: acquiring medicine identification information of medicines corresponding to a target prescription, searching standard weight information corresponding to the medicines in a preset medicine information base according to the medicine identification information, and calculating the sum of the standard weight information of all medicines contained in the target prescription to acquire standard weight sum information; acquiring actual weight information of the medicine corresponding to the target prescription, and comparing the standard weight sum information with the actual weight information; and generating alarm information when the standard weight sum information and the actual weight information are not matched.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a method and a system for evaluating credit of a main body in the field of medical insurance based on the Internet.
Background
At present, the main problems faced by medical insurance supervision and main body credit evaluation are that the phenomena of cheating and collecting medical insurance funds, rebate and monopoly price increase in the medical field, incomplete medical institution management system, medication exceeding a medicine catalog, asymmetric medical field information and the like generally exist. However, the existing supervision mode is mainly based on the reported data of the supervised object for supervision, so that the data is real and false, the data samples are not uniform, and a more accurate evaluation result is difficult to obtain.
Disclosure of Invention
The embodiment of the application provides an Internet medical insurance field main body credit dynamic evaluation method and system, and can solve the problems of data loophole, inaccurate evaluation and low efficiency in credit evaluation.
The first aspect of the embodiment of the application provides an internet method for evaluating credit of a main body in the field of medical insurance, which comprises the following steps:
acquiring medicine identification information of medicines corresponding to a target prescription, searching standard weight information corresponding to the medicines in a preset medicine information base according to the medicine identification information, and calculating the sum of the standard weight information of all medicines contained in the target prescription to acquire standard weight sum information;
acquiring actual weight information of the medicine corresponding to the target prescription, and comparing the standard weight sum information with the actual weight information;
and generating alarm information when the standard weight sum information and the actual weight information are not matched.
Optionally, the method further comprises:
controlling a perspective imaging device to collect first particle accumulation image information of the medicine outer package in a first state;
controlling a perspective imaging device to collect second particle accumulation image information of the medicine outer package in a second state;
calculating to obtain second contour feature information of the medicine according to the first particle accumulation image information and the second particle accumulation image information;
and comparing the first contour characteristic information with the second contour characteristic information, and generating alarm information when the first contour characteristic information is not matched with the second contour characteristic information.
Optionally, before the step of controlling the perspective imaging device to acquire the first particle packing image information of the pharmaceutical overpack in the first state, the method further comprises:
when the medicine is placed on the weighing platform, controlling the medicine weighing platform to vibrate for preset times and amplitude so as to obtain that the medicine is packaged outside in a first state;
before the step of calculating and acquiring second contour feature information of the medicine according to the first particle accumulation image information and the second particle accumulation image information, the method further comprises the following steps;
and after the first particle accumulation image information is obtained, controlling a medicine weighing platform to vibrate for a preset number of times and amplitude so as to obtain that the medicine outer package is in a second state.
Optionally, the method further comprises:
acquiring user characteristic information of a user to which the target prescription belongs;
generating information of a drug exclusion item according to the user characteristic information;
and comparing the medicine exclusion item information with the medicine identification information, and generating alarm information when the medicine exclusion item information is contained in the medicine identification information, wherein the alarm information comprises illegal prescription alarm information and/or dispensing error alarm information.
Optionally, the method further comprises
Counting the illegal prescription warning information and the dispensing error warning information, and analyzing through SPSS software to obtain the weights of the illegal prescription warning information and the dispensing error warning information;
calculating to obtain the evaluation grade information of the evaluated main body to which the prescription belongs according to the weight and the corresponding quantity of the illegal prescription warning information and the dispensing error warning information;
and generating an evaluation result aiming at the evaluated subject according to the evaluation grade information.
Optionally, the user characteristic information includes user symptom information;
the method further comprises the following steps:
acquiring prescription sample information corresponding to the user symptom information in the whole network through a web crawler process;
training a neural network through the user symptom information and the target prescription sample information, and predicting standard prescription information corresponding to the current user symptom information based on a trained neural network model.
Optionally, the method further comprises:
and comparing the standard prescription information with the target prescription, and generating warning information illegal prescription warning information when the matching degree of the standard prescription information and the target prescription is lower than the preset matching degree.
The second aspect of the embodiments of the present application provides an internet-based system for evaluating credit of a main body in a medical insurance field, including:
the acquiring unit is used for acquiring medicine identification information of medicines corresponding to a target prescription, searching standard weight information corresponding to the medicines in a preset medicine information base according to the medicine identification information, and calculating the sum of the standard weight information of all medicines contained in the target prescription to obtain standard weight sum information;
the comparison unit is used for acquiring actual weight information of the medicine corresponding to the target prescription and comparing the standard weight sum information with the actual weight information;
and the analysis unit is used for generating alarm information when the standard weight sum information and the actual weight information are not matched.
In a third aspect of the embodiments of the present application, an electronic device is provided, which includes a memory and a processor, where the processor is configured to implement the steps of the above method for dynamically evaluating credit of a principal in an internet-based medical insurance field when executing a computer program stored in the memory.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above-mentioned internet-based dynamic credit assessment method for medical insurance domain subjects.
To sum up, the internet-based method for dynamically evaluating the credit of the main body in the field of medical insurance provided by the embodiment of the application comprises the following steps: acquiring medicine identification information of medicines corresponding to a target prescription, searching standard weight information corresponding to the medicines in a preset medicine information base according to the medicine identification information, and calculating the sum of the standard weight information of all medicines contained in the target prescription to acquire standard weight sum information; acquiring actual weight information of the medicine corresponding to the target prescription, and comparing the standard weight sum information with the actual weight information; and generating alarm information when the standard weight sum information and the actual weight information are not matched. The method comprises the steps of registering medicine weight information of all medicines in advance according to identification information of all medicines, constructing a preset medicine information base, acquiring the weight of an actual medicine by using a weighing device after a target prescription issued by a managed pharmacy or medical unit according to diagnosis and treatment is acquired, comparing the actual medicine weight with standard weight sum information acquired by the sum of standard weight information of all medicines contained in the preset medicine information base and inquired through the medicine identification information, and further proving that the actual medicine has a problem when the standard weight sum information is not matched with the actual weight information, and generating alarm information to serve as a basis for dynamic evaluation.
Accordingly, the system, the electronic device and the computer-readable storage medium provided by the embodiment of the invention also have the technical effects.
Drawings
Fig. 1 is a schematic flow chart of a possible internet method for evaluating credit of a medical insurance domain subject according to an embodiment of the present application;
FIG. 2 is a schematic block diagram of a possible Internet system for evaluating credit of a medical insurance domain subject according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a hardware structure of a possible internet medical insurance domain subject credit dynamic evaluation system according to an embodiment of the present application;
fig. 4 is a schematic structural block diagram of a possible electronic device provided in an embodiment of the present application;
fig. 5 is a schematic structural block diagram of a possible computer-readable storage medium provided in an embodiment of the present application.
Detailed Description
The embodiment of the application provides an Internet medical insurance field main body credit dynamic evaluation method and related equipment, and can solve the problems of data loophole, inaccurate evaluation and low efficiency existing in credit evaluation.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
Referring to fig. 1, a flowchart of an internet method for evaluating credit dynamics of a medical insurance domain subject provided in an embodiment of the present application may specifically include:
S110-S130。
s110, medicine identification information of medicines corresponding to a target prescription is obtained, standard weight information corresponding to the medicines is searched in a preset medicine information base according to the medicine identification information, and the sum of the standard weight information of all the medicines contained in the target prescription is calculated to obtain standard weight sum information.
It should be noted that a preset drug information base can be pre-established, and the information base can include various information of all drugs, drug types, weights, functions, drug brands, drug packaging shapes, drug particle shapes, and the like,
s120, acquiring actual weight information of the medicine corresponding to the target prescription, and comparing the standard weight sum information with the actual weight information;
and acquiring the weight of the actual medicine by using a weighing device, and comparing the actual medicine weight with standard weight sum information obtained by the sum of the standard weight information of all the medicines contained in the medicine identification information inquired in a preset medicine information base.
And S130, generating alarm information when the standard weight sum information is not matched with the actual weight information.
Because the weights of the medicines of each specific brand, component and specification are completely the same, when the standard weight sum information and the actual weight information are not matched, at least one of the quantity, brand and type of the actual medicines is different from the correct medicine, and then the problems of loopholes or wrong prescriptions and the like are likely to be reported by stored data, so that the credit of a main body in the field of medical insurance can be dynamically evaluated.
In some examples, medicine identification information of a medicine corresponding to a target prescription is obtained, and first contour feature information corresponding to the medicine is searched in a preset medicine information base according to the medicine identification information.
The first contour characteristic information can be the shape characteristic of the medicine particles and also can be the shape characteristic of the inner package or the outer package of the medicine.
And controlling a perspective imaging device to collect first particle accumulation image information of the medicine outer package in a first state.
The fluoroscopic imaging apparatus may be an X-ray imaging apparatus
And controlling the perspective imaging equipment to acquire second particle accumulation image information of the medicine outer package in a second state.
It should be noted that the outer package in the second state and the outer package in the first state are in different angles or different stacking manners of the inner particles.
And calculating to obtain second contour feature information of the medicine according to the first particle accumulation image information and the second particle accumulation image information.
In addition, the number of the second states is not limited, and the number of the second states may be a sufficient number required for conveniently calculating the second profile information of the medicine.
And comparing the first contour characteristic information with the second contour characteristic information, and generating alarm information when the first contour characteristic information is not matched with the second contour characteristic information.
Of course, if a common imaging device is used to identify the outline of the pharmaceutical product package, it is necessary to acquire the outline of the pharmaceutical product package from at least two angles in order to obtain the actual outline of the pharmaceutical product package. Generating first outline information and second outline information, calculating second outline characteristic information of the medicine according to the first outline information and the second outline information, comparing the first outline characteristic information with the second outline characteristic information, and generating alarm information when the first outline characteristic information is not matched with the second outline characteristic information.
In some examples, the step of controlling a fluoroscopic imaging apparatus to acquire first particle packing image information of the pharmaceutical overpack in a first state is preceded by the method further comprising:
when the medicine is placed on the weighing platform, controlling the medicine weighing platform to vibrate for preset times and amplitude so as to obtain that the medicine is packaged outside in a first state;
before the step of calculating and acquiring second contour feature information of the medicine according to the first particle accumulation image information and the second particle accumulation image information, the method further comprises the following steps;
and after the first particle accumulation image information is obtained, controlling a medicine weighing platform to vibrate for a preset number of times and amplitude so as to obtain that the medicine outer package is in a second state.
It should be noted that the weighing platform and the weighing base can be connected through a spring, and the adjustment of the preset times and amplitude vibration can be controlled and adjusted through a mechanical arm or can be adjusted manually.
In some examples, user characteristic information of a user to which the target prescription belongs is obtained, wherein the user characteristic information is user passive acquisition information;
generating administration result data corresponding to the target prescription based on the drug identification information and the user characteristic information.
In some examples, the user characteristic information is obtained by analyzing image data automatically obtained based on a front-facing imaging device of the user terminal when the user operates the user terminal, and the user characteristic information includes: gender information, age information, hair size information, and skin condition information;
the generating of the administration result data corresponding to the target prescription based on the drug identification information and the user characteristic information specifically includes:
generating information of a drug exclusion item according to the user characteristic information;
and comparing the medicine exclusion item information with the medicine identification information, and generating alarm information when the medicine exclusion item information is contained in the medicine identification information, wherein the alarm information comprises illegal prescription alarm information and/or dispensing error alarm information. For example, if the target prescription is checked and no abnormality is found in the target prescription, the alarm information is dispensing error alarm information.
Such as identifying that the user is male, the medication exclusion item information should include a gynecological medication. For example, it is found that a gynecological drug is present in a prescription for a male user and that alarm information needs to be generated.
In some examples, the method further comprises
Counting the illegal prescription warning information and the dispensing error warning information, and analyzing through SPSS software to obtain the weights of the illegal prescription warning information and the dispensing error warning information;
calculating to obtain the evaluation grade information of the evaluated main body to which the prescription belongs according to the weight and the corresponding quantity of the illegal prescription warning information and the dispensing error warning information;
and generating an evaluation result aiming at the evaluated subject according to the evaluation grade information.
Through data statistical screening and judgment, evaluation grade information is visually presented to an evaluation and supervision department, the transparence of multiple data information is realized, and the differentiation and repeated operation of the evaluation department on data statistics and grading are reduced.
In some examples, the user characteristic information comprises user symptom information;
the method further comprises the following steps:
acquiring prescription sample information corresponding to the user symptom information in the whole network through a web crawler process;
training a neural network through the user symptom information and the target prescription sample information, and predicting standard prescription information corresponding to the current user symptom information based on a trained neural network model.
The rationality of the target prescription can be judged by utilizing big data, so that the judgment standard is unified conveniently, the judgment is more objective, and intelligent dynamic evaluation is realized.
In some examples, the method further comprises:
and comparing the standard prescription information with the target prescription, and generating warning information illegal prescription warning information when the matching degree of the standard prescription information and the target prescription is lower than the preset matching degree.
In summary, the internet-based method for evaluating credit of a subject in the medical insurance field provided by the embodiment of the present application includes: acquiring medicine identification information of medicines corresponding to a target prescription, searching standard weight information corresponding to the medicines in a preset medicine information base according to the medicine identification information, and calculating the sum of the standard weight information of all medicines contained in the target prescription to acquire standard weight sum information; acquiring actual weight information of the medicine corresponding to the target prescription, and comparing the standard weight sum information with the actual weight information; and generating alarm information when the standard weight sum information and the actual weight information are not matched. The method comprises the steps of registering medicine weight information of all medicines in advance according to identification information of all medicines, constructing a preset medicine information base, acquiring the weight of an actual medicine by using a weighing device after a target prescription issued by a managed pharmacy or medical unit according to diagnosis and treatment is acquired, comparing the actual medicine weight with standard weight sum information acquired by the sum of standard weight information of all medicines contained in the preset medicine information base and inquired through the medicine identification information, and further proving that the actual medicine has a problem when the standard weight sum information is not matched with the actual weight information, and generating alarm information to serve as a basis for dynamic evaluation.
The above describes the dynamic credit assessment method for the internet medical insurance field main body in the embodiment of the present application, and the following describes the dynamic credit assessment system for the internet medical insurance field main body in the embodiment of the present application.
Referring to fig. 2, an embodiment of the internet system for evaluating credit dynamics of a subject in a medical insurance field described in the embodiment of the present application may include:
an obtaining unit 201, configured to obtain drug identification information of a drug corresponding to a target prescription, search standard weight information corresponding to the drug in a preset drug information base according to the drug identification information, and calculate a sum of the standard weight information of all drugs included in the target prescription to obtain standard weight sum information;
a comparing unit 202, configured to obtain actual weight information of the medicine corresponding to the target prescription, and compare the standard total weight information and the actual weight information;
and the analysis unit 203 is configured to generate warning information when the standard total weight information and the actual weight information do not match.
In summary, the internet-based system for evaluating credit of the subject in the medical insurance field according to the above embodiments can: acquiring medicine identification information of medicines corresponding to a target prescription, searching standard weight information corresponding to the medicines in a preset medicine information base according to the medicine identification information, and calculating the sum of the standard weight information of all medicines contained in the target prescription to acquire standard weight sum information; acquiring actual weight information of the medicine corresponding to the target prescription, and comparing the standard weight sum information with the actual weight information; and generating alarm information when the standard weight sum information and the actual weight information are not matched. The method comprises the steps of registering medicine weight information of all medicines in advance according to identification information of all medicines, constructing a preset medicine information base, acquiring the weight of an actual medicine by using a weighing device after a target prescription issued by a managed pharmacy or medical unit according to diagnosis and treatment is acquired, comparing the actual medicine weight with standard weight sum information acquired by the sum of standard weight information of all medicines contained in the preset medicine information base and inquired through the medicine identification information, and further proving that the actual medicine has a problem when the standard weight sum information is not matched with the actual weight information, and generating alarm information to serve as a basis for dynamic evaluation.
Fig. 2 above describes the dynamic credit evaluation system of the medical insurance domain subject of the internet in the embodiment of the present application from the perspective of the modular functional entity, and the dynamic credit evaluation system of the medical insurance domain subject of the internet in the embodiment of the present application from the perspective of the hardware processing is described in detail below, please refer to fig. 3, in which an embodiment of the dynamic credit evaluation system 300 of the medical insurance domain subject of the internet in the embodiment of the present application includes:
an input device 301, an output device 302, a processor 303 and a memory 304, wherein the number of the processor 303 may be one or more, and one processor 303 is taken as an example in fig. 5. In some embodiments of the present application, the input device 301, the output device 502, the processor 303, and the memory 304 may be connected by a bus or other means, wherein fig. 5 illustrates the connection by the bus.
Wherein, by calling the operation instruction stored in the memory 304, the processor 303 is configured to perform the following steps:
acquiring medicine identification information of medicines corresponding to a target prescription, searching standard weight information corresponding to the medicines in a preset medicine information base according to the medicine identification information, and calculating the sum of the standard weight information of all medicines contained in the target prescription to acquire standard weight sum information;
acquiring actual weight information of the medicine corresponding to the target prescription, and comparing the standard weight sum information with the actual weight information;
and generating alarm information when the standard weight sum information and the actual weight information are not matched.
The processor 303 is also configured to perform any of the methods in the corresponding embodiments of fig. 1 by calling the operation instructions stored in the memory 304.
Referring to fig. 4, fig. 4 is a schematic view of an embodiment of an electronic device according to an embodiment of the present disclosure.
As shown in fig. 4, an electronic device provided in the embodiment of the present application includes a memory 410, a processor 420, and a computer program 411 stored in the memory 420 and executable on the processor 420, where the processor 420 executes the computer program 411 to implement the following steps:
acquiring medicine identification information of medicines corresponding to a target prescription, searching standard weight information corresponding to the medicines in a preset medicine information base according to the medicine identification information, and calculating the sum of the standard weight information of all medicines contained in the target prescription to acquire standard weight sum information;
acquiring actual weight information of the medicine corresponding to the target prescription, and comparing the standard weight sum information with the actual weight information;
and generating alarm information when the standard weight sum information and the actual weight information are not matched.
In a specific implementation, when the processor 420 executes the computer program 411, any of the embodiments corresponding to fig. 1 may be implemented.
Since the electronic device described in this embodiment is a device used for implementing an internet system for evaluating credit dynamics in the medical insurance field, based on the method described in this embodiment, a person skilled in the art can understand the specific implementation manner of the electronic device of this embodiment and various variations thereof, so that how to implement the method in this embodiment by the electronic device is not described in detail herein, and as long as the person skilled in the art implements the device used for implementing the method in this embodiment, the scope of protection intended by this application is included.
Referring to fig. 5, fig. 5 is a schematic diagram illustrating an embodiment of a computer-readable storage medium according to the present application.
As shown in fig. 5, the present embodiment provides a computer-readable storage medium 500 having a computer program 511 stored thereon, the computer program 511 implementing the following steps when executed by a processor:
acquiring medicine identification information of medicines corresponding to a target prescription, searching standard weight information corresponding to the medicines in a preset medicine information base according to the medicine identification information, and calculating the sum of the standard weight information of all medicines contained in the target prescription to acquire standard weight sum information;
acquiring actual weight information of the medicine corresponding to the target prescription, and comparing the standard weight sum information with the actual weight information;
and generating alarm information when the standard weight sum information and the actual weight information are not matched.
The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit 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 application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in 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 application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. Internet-based medical insurance field main body credit dynamic evaluation method is characterized by comprising the following steps:
acquiring medicine identification information of medicines corresponding to a target prescription, searching standard weight information corresponding to the medicines in a preset medicine information base according to the medicine identification information, and calculating the sum of the standard weight information of all medicines contained in the target prescription to acquire standard weight sum information;
acquiring actual weight information of the medicine corresponding to the target prescription, and comparing the standard weight sum information with the actual weight information;
and generating alarm information when the standard weight sum information and the actual weight information are not matched.
2. The method of claim 1, further comprising:
controlling a perspective imaging device to collect first particle accumulation image information of the medicine outer package in a first state;
controlling a perspective imaging device to collect second particle accumulation image information of the medicine outer package in a second state;
calculating to obtain second contour feature information of the medicine according to the first particle accumulation image information and the second particle accumulation image information;
and comparing the first contour characteristic information with the second contour characteristic information, and generating alarm information when the first contour characteristic information is not matched with the second contour characteristic information.
3. The method of claim 2, wherein prior to the step of controlling a fluoroscopic imaging apparatus to acquire first particle-packing image information of the pharmaceutical overpack in a first state, the method further comprises:
when the medicine is placed on the weighing platform, controlling the medicine weighing platform to vibrate for preset times and amplitude so as to obtain that the medicine is packaged outside in a first state;
before the step of calculating and acquiring second contour feature information of the medicine according to the first particle accumulation image information and the second particle accumulation image information, the method further comprises the following steps;
and after the first particle accumulation image information is obtained, controlling a medicine weighing platform to vibrate for a preset number of times and amplitude so as to obtain that the medicine outer package is in a second state.
4. The method of claim 1, further comprising:
acquiring user characteristic information of a user to which the target prescription belongs;
generating information of a drug exclusion item according to the user characteristic information;
and comparing the medicine exclusion item information with the medicine identification information, and generating alarm information when the medicine exclusion item information is contained in the medicine identification information, wherein the alarm information comprises illegal prescription alarm information and/or dispensing error alarm information.
5. The method of claim 4, further comprising
Counting the illegal prescription warning information and the dispensing error warning information, and analyzing through SPSS software to obtain the weights of the illegal prescription warning information and the dispensing error warning information;
calculating to obtain the evaluation grade information of the evaluated main body to which the prescription belongs according to the weight and the corresponding quantity of the illegal prescription warning information and the dispensing error warning information;
and generating an evaluation result aiming at the evaluated subject according to the evaluation grade information.
6. The method of claim 3,
the user characteristic information comprises user symptom information;
the method further comprises the following steps:
acquiring prescription sample information corresponding to the user symptom information in the whole network through a web crawler process;
training a neural network through the user symptom information and the target prescription sample information, and predicting standard prescription information corresponding to the current user symptom information based on a trained neural network model.
7. The method of claim 6, further comprising:
and comparing the standard prescription information with the target prescription, and generating warning information illegal prescription warning information when the matching degree of the standard prescription information and the target prescription is lower than the preset matching degree.
8. An Internet-based dynamic evaluation system for credit of main body in medical insurance field, comprising:
the acquiring unit is used for acquiring medicine identification information of medicines corresponding to a target prescription, searching standard weight information corresponding to the medicines in a preset medicine information base according to the medicine identification information, and calculating the sum of the standard weight information of all medicines contained in the target prescription to obtain standard weight sum information;
the comparison unit is used for acquiring actual weight information of the medicine corresponding to the target prescription and comparing the standard weight sum information with the actual weight information;
and the analysis unit is used for generating alarm information when the standard weight sum information and the actual weight information are not matched.
9. An electronic device comprising a memory and a processor, wherein the processor is configured to implement the steps of the internet-based method for assessing dynamic credit of a subject in the field of medical insurance as claimed in any one of claims 1 to 7 when executing a computer program stored in the memory.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program when executed by a processor implements the steps of the internet-based dynamic assessment method for medical insurance domain subject credit as claimed in any one of claims 1 to 7.
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