CN110766004B - Medical identification data processing method and device, electronic equipment and readable medium - Google Patents
Medical identification data processing method and device, electronic equipment and readable medium Download PDFInfo
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- CN110766004B CN110766004B CN201911011506.1A CN201911011506A CN110766004B CN 110766004 B CN110766004 B CN 110766004B CN 201911011506 A CN201911011506 A CN 201911011506A CN 110766004 B CN110766004 B CN 110766004B
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Abstract
The disclosure relates to a medical identification data processing method, a medical identification data processing device, an electronic device and a computer readable medium. The method comprises the following steps: acquiring a chronic disease identification request, wherein the chronic disease identification request comprises identity information, medical record image information and pathological parameters; processing the chronic disease identification request according to the pathological parameters to generate a first identification result; acquiring real clinic data according to the identity information to generate a second identification result according to the medical record image information and the real clinic data; and generating a target authentication result of the chronic disease authentication request based on the chronic disease authentication request, the first authentication result, and the second authentication result. The medical identification data processing method, the medical identification data processing device, the electronic equipment and the computer readable medium can intelligently realize the identification process of the chronic diseases, effectively avoid artificial careless omission and artificial fake, and improve the identification accuracy and reliability.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a medical identification data processing method and apparatus, an electronic device, and a computer-readable medium.
Background
Current chronic medical insurance policies generally prescribe: the Shenbao personnel diagnose diseases in the disease species range through two or more medical institutions, need long-term outpatient medical treatment and report to a fixed-point identification hospital. After the fixed-point identification hospital passes the identification, the patient can enjoy the outpatient chronic disease treatment. The identified attendants can keep cards and purchase medicines according to the medicine scheme nearby at a fixed-point medical institution (retail pharmacy) and settle accounts immediately.
The identification process is usually completed manually, and the artificial omission phenomenon of identification workers is easy to occur when no process supervision is available; and the manual identification can not keep complete data, and objective reasons can not be traced when the identification result is doubtful; the identification basis of manual identification is generally manual experience, and the phenomenon of considering counterfeiting easily occurs.
The conventional medical identification data processing method is lack of standardization, cannot trace an identification process and cannot identify fraudulent behaviors, so that the waste of medical insurance funds is caused.
Therefore, a new medical identification data processing method, apparatus, electronic device and computer readable medium related to chronic diseases are needed.
The above information disclosed in the background section is only for enhancement of understanding of the background of the present disclosure, and thus it may include information that does not constitute related art known to those of ordinary skill in the art.
Disclosure of Invention
In view of this, the present disclosure provides a medical identification data processing method, device, electronic device, and computer readable medium, which can intelligently implement a chronic disease identification process, effectively avoid artificial omission and artificial counterfeiting, and improve identification accuracy and reliability.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to an aspect of the present disclosure, a medical identification data processing method is provided, the method including: acquiring a chronic disease identification request, wherein the chronic disease identification request comprises identity information, medical record image information and pathological parameters; processing the chronic disease identification request according to the pathological parameters to generate a first identification result; acquiring real clinic data according to the identity information to generate a second identification result according to the medical record image information and the real clinic data; and generating a target authentication result of the chronic disease authentication request based on the chronic disease authentication request, the first authentication result, and the second authentication result.
In an exemplary embodiment of the present disclosure, acquiring the real-time medical data according to the identity information to generate a second authentication result according to the medical record image information and the real-time medical data includes: extracting real clinic data corresponding to the identity information from a hospital information system; identifying the medical record image information through an optical character identification technology to generate formatted medical record data; and comparing the formatted medical record data with the real medical data to generate the second identification result.
In one exemplary embodiment of the present disclosure, generating the target authentication result of the chronic disease authentication request based on the chronic disease authentication request, the first authentication result, and the second authentication result includes: fuzzifying the identity information in the chronic disease identification request, the first identification result and the second identification result to generate a target identification request; receiving the target authentication result in response to the target authentication request.
In an exemplary embodiment of the present disclosure, the chronic disease identification request further includes a disease species to be identified; wherein processing the chronic disease identification request according to the pathology parameters to generate a first identification result comprises: and confirming whether the pathological parameters meet the pathological indexes of the disease species to be identified so as to generate a first identification result.
In an exemplary embodiment of the disclosure, processing the chronic disease identification request according to the pathology parameters to generate a first identification result includes: determining whether the pathological parameter satisfies at least one pathological index of the disease species to be identified to generate a first identification result.
In an exemplary embodiment of the present disclosure, the method further comprises: generating a material supplement request in response to the chronic disease authentication request if the first authentication result or the second authentication result is a material missing.
In an exemplary embodiment of the present disclosure, the method further comprises: and if the target identification result is passed, generating a follow-up plan of the chronic disease identification request.
According to an aspect of the present disclosure, a medical identification data processing apparatus is provided, the apparatus including: the system comprises a request acquisition module, a chronic disease identification module and a disease identification module, wherein the request acquisition module is used for acquiring a chronic disease identification request which comprises identity information, medical record image information and pathological parameters; the first identification module is used for processing the chronic disease identification request according to the pathological parameters to generate a first identification result; the second identification module is used for acquiring corresponding real clinic data according to the identity information so as to generate a second identification result according to the medical record image information and the real clinic data; and a target identification module for generating a target identification result of the chronic disease identification request based on the chronic disease identification request, the first identification result and the second identification result.
According to an aspect of the present disclosure, an electronic device is provided, the electronic device including: one or more processors; storage means for storing one or more programs; when executed by one or more processors, cause the one or more processors to implement a method as described above.
According to an aspect of the disclosure, a computer-readable medium is proposed, on which a computer program is stored, which program, when being executed by a processor, carries out the method as set forth above.
According to the medical identification data processing method, the medical identification data processing device, the electronic equipment and the computer readable medium, the chronic disease identification process is converted into online intelligent identification, so that the labor is saved, and the defects that manual identification cannot be supervised, the identification process cannot be traced and the reliability of an identification result is low can be overcome; the first identification result is generated based on medical record parameters, the second identification result is generated based on medical record image information, and the target identification result of the chronic disease identification request is generated based on the first identification result and the second identification result, so that the scientificity and the referenceability of the target identification result are improved; in addition, the second identification result generated according to the real clinic data and the pathological image data in the chronic disease identification request can accurately illustrate the authenticity of the medical record image data, and fraud and cheating insurance behaviors can be effectively avoided. The medical identification data processing method can intelligently realize the identification process of the chronic diseases, effectively avoids artificial careless omission and artificial fake, and improves the identification accuracy and reliability.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings. The drawings described below are merely some embodiments of the present disclosure, and other drawings may be derived from those drawings by those of ordinary skill in the art without inventive effort.
Fig. 1 is a flow chart illustrating a method of medical authentication data processing according to an exemplary embodiment.
Fig. 2 is a flow chart illustrating a method of medical authentication data processing according to another exemplary embodiment.
Fig. 3 is a flow chart illustrating a method of medical authentication data processing according to another exemplary embodiment.
Fig. 4 is a block diagram illustrating a medical authentication data processing apparatus according to an exemplary embodiment.
FIG. 5 is a block diagram illustrating an electronic device in accordance with an example embodiment.
FIG. 6 is a schematic diagram illustrating a computer-readable storage medium according to an example embodiment.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one element from another. Thus, a first component discussed below may be termed a second component without departing from the teachings of the disclosed concept. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
It is to be understood by those skilled in the art that the drawings are merely schematic representations of exemplary embodiments, and that the blocks or processes shown in the drawings are not necessarily required to practice the present disclosure and are, therefore, not intended to limit the scope of the present disclosure.
In the chronic disease identification scene in the related art, after the applicant submits a chronic disease identification request and related data, the chronic disease identification work is manually completed.
For example, there are eight hospitals in a city that qualify for accreditation, and a insurer may submit an accreditation application to these accreditation hospitals. Take the civil hospital of the city as an example. The ginseng protector submits the information of inpatient certification, case and the like related to the identification of disease species to the medical department in the hospital to the staff in charge of the outpatient chronic disease identification of the medical department, and the staff manually finishes the chronic disease identification work according to the identification rule in the 'basic medical insurance outpatient chronic disease management method in certain cities and towns' after receiving the information of the inpatient certification, the case and the like. The staff in charge of clinic chronic disease identification in the medical insurance department returns the identification result to the ginseng insurance person within five working days from the submission of the data of the ginseng insurance person. The ginseng protector who fails to pass the identification can retrieve the data. After the identified insured person carries out corresponding department registration with an identity card, a photo and a 'special chronic disease treatment application form for basic medical insurance outpatient service in a certain city' provided by the medical insurance department, a doctor of the corresponding department fills in and signs a medication scheme (containing relevant information such as medicine name, dosage and the like) on the 'special chronic disease treatment application form for basic medical insurance outpatient service in XX city'. After the ginseng insurance people return to the medical insurance department, the staff responsible for the outpatient clinic chronic disease identification inputs the identification result and the medication scheme into the system. The patients can enjoy the treatment of chronic diseases in the outpatient clinic from the next month and the next day.
On the premise of saving manpower, a certain chronic disease identification request is usually completed by a worker in a medical insurance department, and the manual omission is easily caused due to the lack of auditing and supervising links.
The existing identification process lacks an information recording link, and objective reasons cannot be traced in time when an identification result is suspected of having objections; at present, the identification of chronic diseases lacks authenticity verification, and the authenticity of the chronic diseases is identified only through artificial experience, so that artificial counterfeiting cannot be avoided.
In addition, after the examination and verification are passed, doctors who fill in the medication scheme do not perform relevant examination on the insured person, and the fraud behavior of chronic disease medical insurance reimbursement cannot be stopped only by inquiring to fill in the medication scheme.
At present, no technical solution capable of coping with the above drawbacks exists.
In view of the defects in the related art, the application provides a medical identification data processing method and device, which convert the identification process of chronic diseases into online intelligent identification; generating a first authentication result and a second authentication result based on the application material; wherein the first identification result is generated based on the pathological parameters and the second identification result is generated based on the real visit data; and generating a target identification result of the chronic disease identification request based on the chronic disease identification request, the first identification result, and the second identification result.
Fig. 1 is a flow chart illustrating a method of medical authentication data processing according to an exemplary embodiment. The medical identification data processing method provided by the embodiments of the present disclosure may be executed by any electronic device with computing processing capability, such as a user terminal and/or a server, and in the following embodiments, the method executed by the server is taken as an example for illustration, but the present disclosure is not limited thereto. The medical identification data processing method 10 provided by the embodiment of the present disclosure may include steps S102 to S108.
As shown in fig. 1, in step S102, a chronic disease identification request is obtained, which may include identity information, medical record image information, and pathological parameters.
In the embodiment of the disclosure, the medical insurance participator for chronic diseases can submit the identification request for chronic diseases through a mobile phone client, a webpage client, a self-service platform or a manual counter. For example, the insured person fills in the identity information of the insured person, uploads medical record image information, pathological parameter examination reports and the like through the client. The medical record image information can comprise diagnosis certification, hospitalization certification, prescription data and the like. The pathological parameters may be index parameters of the chronic disease species for which the applicant desires to apply, including, but not limited to, examination reports, assay reports, and the like.
In step S104, the chronic disease identification request is processed according to the pathology parameters to generate a first identification result.
Wherein the first identification result is generated by confirming whether the pathological parameters of the ginseng or the nurse satisfy the pathological conditions of the chronic disease forming the application.
In one embodiment, the chronic disease identification request may further include a disease species to be identified; it may be determined whether the pathological parameter satisfies a pathological index of the species to be identified to generate a first identification result. For example, if the disease type to be identified requested by the chronic disease identification request is diabetes, the random venous blood glucose detection report is subjected to image identification to obtain the random venous blood glucose, and the identified parameters are compared with the pathological indexes of the diabetes to obtain a first identification result. When the pathological parameters of the ginseng and guardian meet the pathological index of the diabetes, the first identification result is passed; when the pathological parameters of the ginseng and guardian do not meet the pathological index of the diabetes, the first identification result is that the pathological parameters do not pass.
In one embodiment, it may be determined whether the pathological parameter satisfies at least one pathological indicator of the disease species to be identified to generate a first identification. For example, the disease type requested by the chronic disease identification request is diabetes, random venous blood glucose and fasting venous blood glucose of the patient are obtained by performing image identification on a random venous blood glucose detection report and a fasting venous blood glucose detection report of the patient, the random venous blood glucose and the fasting venous blood glucose obtained by identification are respectively compared with the pathological indexes of the diabetes, and when any parameter of the random venous blood glucose or the fasting venous blood glucose meets the pathological indexes of the diabetes, a first identification result is that the random venous blood glucose or the fasting venous blood glucose passes; when the random venous blood sugar and the fasting venous blood sugar do not meet the pathological index of the diabetes, the first identification result is that the random venous blood sugar and the fasting venous blood sugar do not pass.
In step S106, real medical data is acquired according to the identity information, so as to generate a second identification result according to the medical record image information and the real medical data. The real diagnosis data can be stored in a hospital information system. The hospital information System (H I S: Hosp I ta l I n format I ca System) refers to a platform which provides the capabilities of collecting (Co l ect), storing (Store), processing (Process), extracting (Retr I event) and data exchange (Commun I cat) of patient diagnosis and treatment information (Pat I ent Care I n format I on) and administrative information (admi n I strand I on I n format I on) for all departments to which a hospital belongs by utilizing an electronic computer and communication equipment and meets the functional requirements of authorized Users (Author I zed Users). The hospital information system can store basic information of patients, treatment data such as medical record summary, outpatient and emergency case information, prescription information, examination and examination records, inpatient cases and the like. In the embodiment of the disclosure, the acquired real medical data can be used for comparing with medical record image information in the chronic disease identification request so as to verify the authenticity of the medical record image information uploaded by the paramedics.
In one embodiment, the real clinic data corresponding to the identity information can be extracted from a hospital information system; identifying the medical record image information through an optical character identification technology to generate formatted medical record data; and comparing the formatted medical record data with the real medical data to generate the second identification result. The identity information can be, but is not limited to, an identity card number, a medical insurance number and the like as search words, and is used for searching the real clinic data corresponding to the identity information in the database storing the real clinic data. Optical character recognition refers to the process of an electronic device (e.g., a scanner or digital camera) examining a printed character on paper, determining its shape by detecting dark and light patterns, and then translating the shape into a computer text using a character recognition method. Through optical processing and semantic recognition, medical record image information can be converted into formatted medical record data with the same format as the real clinic data. Comparing the formatted medical record data with the real clinic data, and when the formatted medical record data is the same as the real clinic data, the second identification result is a pass; when the formatted medical record data is different from the real clinic data, the second identification result is that the formatted medical record data does not pass and can also comprise specific data different from the real clinic data. According to the medical identification data processing method, the medical record image information uploaded by the user who sends the chronic disease identification request is identified based on the optical character identification technology, so that the identification result is compared with the real clinic data to judge the truth of the medical record image information, and the accuracy and the reliability of the chronic disease identification result are improved.
In step S108, a target authentication result of the chronic disease authentication request is generated based on the chronic disease authentication request, the first authentication result, and the second authentication result.
In the embodiment of the present disclosure, whether the chronic disease identification request satisfies the chronic disease criterion is determined by comprehensively considering the first identification result and the second identification result, and the target identification result is passed when the chronic disease identification request satisfies the chronic disease criterion and is not passed when the chronic disease identification request does not satisfy the chronic disease criterion. For example, when both the first and second authentication results pass, the target authentication result is confirmed as pass; confirming that the target authentication result is not passed when at least one of the first authentication result and the second authentication result is not passed; for example, when at least one of the first authentication result and the second authentication result is failed, the information of the related reference person is fuzzified to generate a third authentication request, and the third authentication result fed back by the expert is received to correct the target authentication result.
In one embodiment, the identity information in the chronic disease authentication request, the first authentication result and the second authentication result may be subjected to fuzzification processing to generate a target authentication request; receiving the target authentication result in response to the target authentication request. The target identification request can be sent to the identification expert or the specialist corresponding to the disease category of the target identification request, and then the target identification result fed back by the identification expert or the specialist corresponding to the disease category of the target identification request is received.
In one embodiment, a request for a supplement to material responsive to the request for identification of chronic disease may be generated if the first identification result or the second identification result is missing material. When the pathological image information in the chronic disease identification request is incomplete, the first identification result or the second identification result is data missing. And generating a data supplement request and feeding back the data supplement request to the insured person to inform the insured person of the supplement data.
In one embodiment, if the target authentication result is a pass, a follow-up plan for the chronic disease authentication request may be generated. After the identification result is effective, the ginseng and insurance people can independently select a nearby hospital or institution for follow-up visit according to the follow-up visit date specified in the follow-up visit plan.
According to the medical identification data processing method provided by the embodiment of the disclosure, the identification process of the chronic disease is converted into online intelligent identification, so that the labor is saved, and the defects that manual identification cannot be supervised, the identification process cannot be traced and the reliability of the identification result is low can be avoided; the first identification result is generated based on medical record parameters, the second identification result is generated based on medical record image information, and the target identification result of the chronic disease identification request is generated based on the first identification result and the second identification result, so that the scientificity and the referenceability of the target identification result are improved; in addition, the second identification result generated according to the real clinic data and the pathological image data in the chronic disease identification request can accurately illustrate the authenticity of the medical record image data, and fraud and cheating insurance behaviors can be effectively avoided. The medical identification data processing method can intelligently realize the identification process of the chronic diseases, effectively avoids artificial careless omission and artificial fake, and improves the identification accuracy and reliability.
It should be clearly understood that this disclosure describes how to make and use particular examples, but the principles of this disclosure are not limited to any details of these examples. Rather, these principles can be applied to many other embodiments based on the teachings of the present disclosure.
Fig. 2 is a flow chart illustrating a method of medical authentication data processing according to another exemplary embodiment.
As shown in fig. 2, in the embodiment of the present invention, the step S106 may further include the following steps.
In step S1062, the real visit data corresponding to the identification information is extracted from the hospital information system.
In the embodiment of the invention, the hospital information system can provide diagnosis and treatment information of patients. Based on the hospital information system, the identity information such as but not limited to an identification card number, a medical insurance number and the like is used as retrieval information, and the corresponding diagnosis and treatment information of the paramedics can be retrieved to generate real clinic data.
In step S1064, the medical record image information is subjected to recognition processing by an optical character recognition technique to generate formatted medical record data.
In the embodiment of the invention, medical record image data can be converted into formatted data according to an optical character recognition technology. For example, if the medical record image data includes hospital test results, the formatted medical record data obtained by recognition may include test time, test institution, test physician, test parameters, and the like.
In step S1066, the formatted medical record data is compared with the real visit data to generate the second identification result.
In the embodiment of the invention, the authenticity of medical record image information provided by a paramedics is verified by comparing the formatted medical record data with the real medical data. If the formatted medical record data is different from the real medical record data by comparison, the ginseng or insured person is considered to provide a false proof, and the second identification result is failed. The medical identification data processing method of the embodiment improves identification efficiency through intelligent comparison and saves manpower.
Fig. 3 is a flow chart illustrating a method of medical authentication data processing according to another exemplary embodiment.
As shown in fig. 3, in the embodiment of the present invention, the step S108 may further include the following steps.
In step S1082, the identification information in the chronic disease authentication request, the first authentication result, and the second authentication result is obfuscated to generate a target authentication request.
In an embodiment of the invention, the target identification request is sent to an identification specialist or a doctor of a relevant pathology department for identification thereof.
In step S1084, the target authentication result in response to the target authentication request is received.
In the embodiment of the invention, when the identification expert or a doctor of a related pathology department identifies the participant based on the target identification request with the fuzzy identity information, the interference of human factors can be reduced to influence the identification result.
Those skilled in the art will appreciate that all or part of the steps implementing the above embodiments are implemented as computer programs executed by a CPU. When executed by the CPU, performs the functions defined by the above-described methods provided by the present disclosure. The program may be stored in a computer readable storage medium, which may be a read-only memory, a magnetic or optical disk, or the like.
Furthermore, it should be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 4 is a block diagram illustrating a medical authentication data processing apparatus according to an exemplary embodiment. The medical identification data processing device 40 provided by the embodiment of the present disclosure may include: a request acquisition module 402, a first authentication module 404, a second authentication module 406, and a target authentication module 408.
The request obtaining module 402 may be configured to obtain a chronic disease authentication request, which includes identity information, medical record image information, and pathological parameters. The medical insurance participator for the chronic disease can submit a chronic disease identification request through a mobile phone client, a webpage client, a self-service platform end or a manual counter and the like.
The first identification module 404 is operable to process the chronic disease identification request based on the pathology parameters to generate a first identification result. Wherein the first identification result is generated by confirming whether the pathological parameters of the ginseng or the nurse satisfy the pathological conditions of the chronic disease forming the application.
In one embodiment, the chronic disease identification request may further include a disease species to be identified; the first identification module 404 is configured to determine whether the pathological parameter satisfies a pathological index of the disease to be identified to generate a first identification result.
In one embodiment, the first identification module 404 is configured to determine whether the pathological parameter satisfies at least one pathological indicator of the disease to be identified to generate a first identification result. For example, the disease type requested by the chronic disease identification request is diabetes, random venous blood glucose (IV) and fasting venous blood glucose (fasting) are obtained by carrying out image recognition on a random IV blood glucose detection report or a fasting IV blood glucose detection report of the patient, and any one parameter obtained by recognition is compared with the pathological index of the diabetes to obtain a first identification result.
The second identification module 406 may be configured to obtain real-time medical data according to the identity information, so as to generate a second identification result according to the medical record image information and the real-time medical data.
In one embodiment, the second authentication module 406 may be used to extract the actual visit data corresponding to the identity information from the hospital information system; identifying the medical record image information through an optical character identification technology to generate formatted medical record data; and comparing the formatted medical record data with the real medical data to generate the second identification result.
The target identification module 408 may be operable to generate a target identification result for the chronic disease identification request based on the chronic disease identification request, the first identification result, and the second identification result. And confirming whether the chronic disease identification request meets the chronic disease standard or not by comprehensively considering the first identification result and the second identification result, wherein the target identification result is passed when the chronic disease identification request meets the chronic disease standard, and the target identification result is not passed when the chronic disease identification request does not meet the chronic disease standard.
In one embodiment, the target authentication module 408 may be configured to perform obfuscation on the identity information in the chronic disease authentication request, the first authentication result, and the second authentication result to generate a target authentication request; receiving the target authentication result in response to the target authentication request. The target identification request can be sent to the identification expert or the specialist corresponding to the disease category of the target identification request, and then the target identification result fed back by the identification expert or the specialist corresponding to the disease category of the target identification request is received.
In one embodiment, the apparatus may further include a material supplement module operable to generate a material supplement request in response to the chronic disease authentication request if the first authentication result or the second authentication result is a material loss.
In one embodiment, the apparatus may further include a follow-up module operable to generate a follow-up plan for the chronic disease authentication request if the target authentication result is a pass.
According to the medical identification data processing device provided by the embodiment of the disclosure, the identification process of the chronic diseases is converted into online intelligent identification, so that the labor is saved, and the defects that manual identification cannot be supervised, the identification process cannot be traced and the reliability of the identification result is low can be avoided; the first identification result is generated based on medical record parameters, the second identification result is generated based on medical record image information, and the target identification result of the chronic disease identification request is generated based on the chronic disease identification request, the first identification result and the second identification result, so that the scientificity and the referenceness of the target identification result are improved; in addition, the second identification result generated according to the real clinic data and the pathological image data in the chronic disease identification request can accurately illustrate the authenticity of the medical record image data, and fraud and cheating insurance behaviors can be effectively avoided. The medical identification data processing method can intelligently realize the identification process of the chronic diseases, effectively avoids artificial careless omission and artificial fake, and improves the identification accuracy and reliability.
FIG. 5 is a block diagram illustrating an electronic device in accordance with an example embodiment.
An electronic device 200 according to this embodiment of the present disclosure is described below with reference to fig. 5. The electronic device 200 shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, the electronic device 200 is embodied in the form of a general purpose computing device. The components of the electronic device 200 may include, but are not limited to: at least one processing unit 210, at least one memory unit 220, a bus 230 connecting different system components (including the memory unit 220 and the processing unit 210), a display unit 240, and the like.
Wherein the storage unit stores program code executable by the processing unit 210 to cause the processing unit 210 to perform the steps according to various exemplary embodiments of the present disclosure described in the above-mentioned electronic prescription flow processing method section of the present specification. For example, the processing unit 210 may perform the steps as shown in fig. 1, 2, 3.
The memory unit 220 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)2201 and/or a cache memory unit 2202, and may further include a read only memory unit (ROM) 2203.
The storage unit 220 may also include a program/utility 2204 having a set (at least one) of program modules 2205, such program modules 2205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 200 may also communicate with one or more external devices 300 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 200, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 200 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 250. Also, the electronic device 200 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 260. The network adapter 260 may communicate with other modules of the electronic device 200 via the bus 230. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 200, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RA id systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, or a network device, etc.) to execute the above method according to the embodiments of the present disclosure.
Fig. 6 schematically illustrates a computer-readable storage medium in an exemplary embodiment of the disclosure.
Referring to fig. 6, a program product 400 for implementing the above method according to an embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The computer readable medium carries one or more programs which, when executed by a device, cause the computer readable medium to perform the functions of: acquiring a chronic disease identification request, wherein the chronic disease identification request comprises identity information, medical record image information and pathological parameters; processing the chronic disease identification request according to the pathological parameters to generate a first identification result; acquiring real clinic data according to the identity information to generate a second identification result according to the medical record image information and the real clinic data; and generating a target authentication result of the chronic disease authentication request based on the chronic disease authentication request, the first authentication result, and the second authentication result
Those skilled in the art will appreciate that the modules described above may be distributed in the apparatus according to the description of the embodiments, or may be modified accordingly in one or more apparatuses unique from the embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that the present disclosure is not limited to the precise arrangements, instrumentalities, or instrumentalities described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
In addition, the structures, the proportions, the sizes, and the like shown in the drawings of the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used for limiting the limit conditions which the present disclosure can implement, so that the present disclosure has no technical essence, and any modification of the structures, the change of the proportion relation, or the adjustment of the sizes, should still fall within the scope which the technical contents disclosed in the present disclosure can cover without affecting the technical effects which the present disclosure can produce and the purposes which can be achieved. In addition, the terms "above", "first", "second" and "a" as used in the present specification are for the sake of clarity only, and are not intended to limit the scope of the present disclosure, and changes or modifications of the relative relationship may be made without substantial changes in the technical content.
Claims (10)
1. A medical identification data processing method, comprising:
acquiring a chronic disease identification request, wherein the chronic disease identification request comprises identity information, medical record image information and pathological parameters;
processing the chronic disease identification request according to the pathological parameters to generate a first identification result;
acquiring real clinic data according to the identity information to generate a second identification result according to the medical record image information and the real clinic data; and
generating a target authentication result of the chronic disease authentication request based on the chronic disease authentication request, the first authentication result, and the second authentication result.
2. The method of claim 1, wherein obtaining real-time visit data based on the identity information to generate a second authentication result based on the medical record image information and the real-time visit data comprises:
extracting real clinic data corresponding to the identity information from a hospital information system;
identifying the medical record image information through an optical character identification technology to generate formatted medical record data; and
and comparing the formatted medical record data with the real clinic data to generate the second identification result.
3. The method of claim 1, wherein generating the target authentication result for the chronic disease authentication request based on the chronic disease authentication request, the first authentication result, and the second authentication result comprises:
when at least one of the first identification result and the second identification result is failed, fuzzifying the identity information in the chronic disease identification request, the first identification result and the second identification result to generate a target identification request;
receiving the target authentication result in response to the target authentication request.
4. The method of claim 1, wherein the request for chronic disease identification further comprises a disease species to be identified; wherein processing the chronic disease identification request according to the pathology parameters to generate a first identification result comprises:
and confirming whether the pathological parameters meet the pathological indexes of the disease species to be identified so as to generate a first identification result.
5. The method of claim 4, wherein processing the chronic disease identification request based on the pathology parameters to generate a first identification result comprises:
determining whether the pathological parameter satisfies at least one pathological index of the disease species to be identified to generate a first identification result.
6. The method of claim 1, further comprising:
generating a material supplement request in response to the chronic disease authentication request if the first authentication result or the second authentication result is a material missing.
7. The method of claim 1, further comprising:
and if the target identification result is passed, generating a follow-up plan of the chronic disease identification request.
8. A medical authentication data processing apparatus, comprising:
the system comprises a request acquisition module, a chronic disease identification module and a disease identification module, wherein the request acquisition module is used for acquiring a chronic disease identification request which comprises identity information, medical record image information and pathological parameters;
the first identification module is used for processing the chronic disease identification request according to the pathological parameters to generate a first identification result;
the second identification module is used for acquiring corresponding real clinic data according to the identity information so as to generate a second identification result according to the medical record image information and the real clinic data; and
a target identification module for generating a target identification result of the chronic disease identification request based on the chronic disease identification request, the first identification result, and the second identification result.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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