CN110060750B - Medical data pushing method, system, computer equipment and readable storage medium - Google Patents
Medical data pushing method, system, computer equipment and readable storage medium Download PDFInfo
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- 238000003062 neural network model Methods 0.000 claims description 26
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- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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Abstract
The embodiment of the invention provides a medical data pushing method, which comprises the following steps: configuring a personal account and a two-dimensional code associated with the personal account for a user, wherein the two-dimensional code is used for providing a login entry for a client to enter the personal account; receiving a diagnosis report form uploaded by a medical system; analyzing the diagnosis report form, and storing the analyzed diagnosis report form in a database; matching the diagnostic report form with the personal account according to the user information; and if the diagnosis report table is matched with the personal account, pushing the generated report state of the diagnosis report table to the personal account, and/or pushing a report acquisition application entry of the diagnosis report table to the personal account. The embodiment of the invention effectively improves the circulation efficiency of medical data and solves the technical problem of low efficiency of acquiring paper reports or digital reports at present.
Description
Technical Field
The embodiment of the invention relates to the technical field of information, in particular to a medical data pushing method, a medical data pushing system, computer equipment and a computer readable storage medium.
Background
In the medical field, the generation process of the traditional medical diagnosis report is as follows: after the doctor makes an examination for the patient, the doctor performs shooting examination, reads the film, writes a report, prints the report to obtain a paper report, writes diagnostic findings and diagnostic comments in the paper report, and signs the paper report and then gives the paper report to the patient. In order to adapt to digitization, the patient can scan the two-dimensional code on the report to acquire the digital film and the digital report, however, the acquisition of the digital information is basically based on the reported two-dimensional code.
However, in the above manner, the patient needs to wait for the report result at the entrance of the examination room or home, and the efficiency of acquiring the paper report or the digital report is low, which seriously affects the medical experience of the patient.
In addition, the existing report acquisition mode cannot automatically extract and intelligently identify the disease diagnosis information, so that intelligent reminding of the diagnosis report cannot be realized according to the disease diagnosis information.
Disclosure of Invention
In view of the above, the embodiments of the present invention provide a medical data pushing method, a system, a computer device and a computer readable storage medium, so as to solve the technical problem of low efficiency in acquiring a paper report or a digital report, and the problem that an intelligent prompt for a diagnosis report cannot be realized according to disease diagnosis information.
The embodiment of the invention solves the technical problems through the following technical scheme:
a medical data pushing method, comprising:
configuring a personal account and a two-dimensional code associated with the personal account for a user, wherein the two-dimensional code is used for providing a login entry for a client to enter the personal account;
receiving a diagnosis report form uploaded by a medical system, wherein the diagnosis report form comprises user information, diagnosis information and image information;
analyzing the diagnosis report form, and storing the analyzed diagnosis report form in a database;
matching the diagnostic report form with the personal account according to the user information; and
If it is determined that the diagnostic report table matches the personal account, pushing the report status that the diagnostic report table has generated to the personal account, and/or,
and extracting disease diagnosis information in the diagnosis report form, judging the disease degree of the user through a neural network model, determining whether to push a prompt message to the personal account according to the disease degree, and pushing a report acquisition application entry of the diagnosis report form to the personal account.
Preferably, the two-dimensional code includes portal link information of the personal account and portal link information of user real-name authentication, and the method further includes:
receiving account login request information generated by a client based on the two-dimension code, wherein the account login request information carries user real-name authentication information, and the user real-name authentication information is acquired from an authentication system by the client according to the user real-name authentication entry link information; and
And returning a login success page to the client according to the account login request information.
Preferably, the two-dimensional code includes portal link information of the personal account and user privacy obtaining information, where the user privacy obtaining information is used to request the client to provide a current mobile phone number, and the method further includes:
receiving account login request information generated by a client based on the two-dimensional code, wherein the account login request information carries a mobile phone number of the client;
comparing the mobile phone number recorded in the personal account with the mobile phone number carried in the account login request information;
if the login page is the same, a login success page is returned to the client; and
And if the login failure page is different, returning a login failure page to the client.
Preferably, the step of extracting disease diagnosis information in the diagnosis report form, judging the disease degree of the user through a neural network model, and determining whether to push a prompt message to the personal account according to the disease degree comprises the following steps:
extracting a disease category corresponding to the diagnosis report form from a field for describing the disease category according to a preconfigured field name list, extracting the disease diagnosis information from a field for describing the disease diagnosis information, wherein the field name list comprises a field name of the field for describing the disease category and a field name of the field for describing the disease diagnosis information;
performing word segmentation operation on the disease diagnosis information to obtain n word elements;
mapping each word element into a d-dimensional word vector to obtain an n-x d-dimensional word vector;
inputting the n x d-dimensional word vector into a neural network model to output a classification vector through the neural network model, wherein the classification vector is used for representing the confidence degree of each disease degree of the disease category;
and determining whether to push the prompt message to the personal account according to the condition degree with the highest confidence.
Preferably, the method further comprises: pushing medical information to the personal account according to the disease category and the disease degree corresponding to the disease category:
searching one or more target medical institutions from the medical knowledge graph according to the disease category;
searching one or more doctors with corresponding medical technology qualification in each target medical institution according to the illness degree of the illness class;
acquiring patient reservation data of each doctor in preset time, and screening one or more target doctors for which reservation is not fully arranged;
the institution information of one or more target medical institutions and the doctor information of each target doctor under each target medical institution are pushed to the personal account.
In order to achieve the above object, an embodiment of the present invention further provides a medical data pushing system, including:
the configuration module is used for configuring a personal account for a user and a two-dimensional code associated with the personal account, wherein the two-dimensional code is used for providing a login entry for a client to enter the personal account;
the receiving module is used for receiving a diagnosis report form uploaded by the medical system, wherein the diagnosis report form comprises user information, diagnosis information and image information;
the analysis module is used for analyzing the diagnosis report form and storing the analyzed diagnosis report form in a database;
the judging module is used for matching the diagnosis report table with the personal account according to the user information; and
And the diagnosis information pushing module is used for pushing the generated report state of the diagnosis report table to the personal account if the diagnosis report table is matched with the personal account, and/or extracting disease diagnosis information in the diagnosis report table, judging the illness state of the user through a neural network model, determining whether to push a prompt message to the personal account according to the illness state, and pushing a report acquisition application entry of the diagnosis report table to the personal account.
Preferably, the diagnostic information pushing module is further configured to:
extracting a disease category corresponding to the diagnosis report form from a field for describing the disease category according to a preconfigured field name list, extracting the disease diagnosis information from a field for describing the disease diagnosis information, wherein the field name list comprises a field name of the field for describing the disease category and a field name of the field for describing the disease diagnosis information;
performing word segmentation operation on the disease diagnosis information to obtain n word elements;
mapping each word element into a d-dimensional word vector to obtain an n-x d-dimensional word vector;
inputting the n x d-dimensional word vector into a neural network model to output a classification vector through the neural network model, wherein the classification vector is used for representing the confidence degree of each disease degree of the disease category;
and determining whether to push the prompt message to the personal account according to the condition degree with the highest confidence.
Preferably, the diagnostic information pushing module is further configured to push medical information to the personal account through the disease category and the disease degree corresponding to the disease category:
searching one or more target medical institutions from the medical knowledge graph according to the disease category;
searching one or more doctors with corresponding medical technology qualification in each target medical institution according to the illness degree of the illness class;
acquiring patient reservation data of each doctor in preset time, and screening one or more target doctors for which reservation is not fully arranged;
the institution information of one or more target medical institutions and the doctor information of each target doctor under each target medical institution are pushed to the personal account.
To achieve the above object, an embodiment of the present invention further provides a computer device including a memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the medical data pushing method as described above.
In order to achieve the above object, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium has stored therein a computer program executable by at least one processor to cause the at least one processor to perform the steps of the medical data pushing method as described above.
Compared with the prior art, the medical data pushing method, the system, the computer equipment and the computer readable storage medium provided by the embodiment of the invention receive the diagnosis report form uploaded by the medical system in real time, and match the received diagnosis report form with the personal account so as to effectively push the real-time state of the diagnosis report form of the user to the personal account of the user, thereby effectively improving the circulation efficiency of medical data and solving the technical problem of low efficiency of acquiring paper reports or digital reports at present.
In addition, the embodiment judges the illness state degree of the user through the neural network model by extracting the disease diagnosis information in the diagnosis report form, and determines whether to push the prompt message to the personal account according to the illness state degree so as to realize intelligent prompt of the diagnosis report according to the disease diagnosis information.
The invention will now be described in more detail with reference to the drawings and specific examples, which are not intended to limit the invention thereto.
Drawings
Fig. 1 is a flowchart showing steps of a medical data pushing method according to a first embodiment of the present invention.
Fig. 2 is a step flowchart of step S108 in fig. 1.
Fig. 3 is a flowchart showing steps of another medical data pushing method according to the first embodiment of the present invention.
Fig. 4 is a step flowchart of step S110 in fig. 3.
Fig. 5 shows a schematic program module of a medical data push system according to a second embodiment of the invention.
Fig. 6 shows a hardware architecture diagram of a computer device according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The technical solutions between the embodiments may be combined with each other, but it is necessary to base the implementation on the basis of those skilled in the art that when the combination of technical solutions contradicts or cannot be implemented, it should be considered that the combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.
Example 1
Referring to fig. 1, a flowchart of steps of a medical data pushing method according to an embodiment of the present invention is shown. It will be appreciated that the flow charts in the method embodiments are not intended to limit the order in which the steps are performed. An exemplary description will be made below with a computer device as an execution subject. Specifically, the following is described.
Step S100, a personal account and a two-dimensional code associated with the personal account are configured for a user, wherein the two-dimensional code is used for providing a login entry for a client to enter the personal account.
In an exemplary embodiment, the step S100 may further include:
receiving a user expense form sent by the front end of a hospital, wherein the user expense form comprises user information and payment information of a user; when the payment information is 'paid', a personal account is configured for the user according to the user information of the user, the user can receive message pushing of a hospital and the like through the personal account, and the personal account can log in based on network platforms such as 'WeChat public number'. The two-dimensional code comprises login entry information of the personal account, such as account platform entry link information and user identification.
The two-dimensional code is used for being printed on a receipt, and is obtained and sent to an electronic account of a user, such as an electronic mailbox.
In an exemplary embodiment, the two-dimensional code includes portal link information of the personal account and user real-name authentication portal link information. The medical data pushing method further comprises a login step: receiving account login request information generated by the client based on the two-dimensional code, wherein the account login request information carries user real-name authentication information, and the user real-name authentication information is acquired from an authentication system by the client according to the user real-name authentication portal link information; and returning a login success page to the client according to the account login request information.
In an exemplary embodiment, the two-dimensional code includes portal link information of the personal account and user privacy obtaining information, where the user privacy obtaining information is used to request the client to provide a current mobile phone number of the client. The medical data pushing method further comprises a login step: receiving account login request information generated by a client based on the two-dimensional code, wherein the account login request information carries a mobile phone number of the client; comparing the mobile phone number recorded in the personal account with the mobile phone number carried in the account login request information; if the login page is the same, a login success page is returned to the client; and if the login failure page is different, returning a login failure page to the client.
Step S102, receiving a diagnosis report form uploaded by the medical system, wherein the diagnosis report form comprises user information, diagnosis information and image information.
Illustratively, the user information includes patient name, age, gender, cell phone number, medical insurance card number, identification card number; the diagnosis information comprises hospital names, clinic numbers, disease categories and diagnosis information; the image information is different according to the diagnosis type, such as CT diagnosis, nuclear magnetic resonance, ultrasonic diagnosis, etc.
The diagnostic report form includes a plurality of fields, the field types of which may include text boxes, check boxes, radio boxes, drop down selection boxes, and the like.
Step S104, analyzing the diagnosis report form, and storing the analyzed diagnosis report form in a database.
The diagnostic report table is parsed to obtain structured or semi-structured data, which is stored in the database in the form of a table, and database index information is configured for the diagnostic policy table.
And step S106, matching the diagnosis report table with the personal account according to the user information.
Comparing the user information in the diagnosis report form with the user information in the personal account, if the user information is the same, matching the diagnosis report form with the personal account, and if the user information is different, not matching the diagnosis report form with the personal account.
Step S108, if the diagnosis report table is matched with the personal account, pushing the generated report state of the diagnosis report table to the personal account, and/or extracting disease diagnosis information in the diagnosis report table, judging the illness degree of the user through a neural network model, determining whether to push a prompt message to the personal account according to the illness degree, and pushing a report acquisition application entry of the diagnosis report table to the personal account. The report status is report generated or report not generated.
In an exemplary embodiment, the report acquisition application portal includes: database index information of the diagnostic report table and electronic report payment link information.
Optionally, as shown in fig. 2, the extracting the disease diagnosis information in the diagnosis report form, judging the disease degree of the user through a neural network model, and determining whether to push a prompt message to the personal account according to the disease degree, where the method specifically includes the following steps:
step S108A, extracting the disease category corresponding to the diagnosis report form from the field for describing the disease category according to the preconfigured field name list, and extracting the disease diagnosis information from the field for describing the disease diagnosis information.
The field name list includes field names of fields for describing disease categories and field names of fields for describing disease diagnosis information.
Illustratively, the disease diagnosis information is text information entered by medical staff into a diagnosis report form by a personal computer, and the diagnosis report form is uploaded to a computer device in a JSON format file. When the computer device receives the diagnosis report table in the JSON format, the field information of each field can be extracted from the JSON string through the json_extract function.
And S108B, performing word segmentation operation on the disease diagnosis information to obtain n word elements.
The word stock used for word segmentation operation is an associated word stock corresponding to the disease category.
Specifically, an associative word stock may be configured for each disease category, the associative word stock including a plurality of words for describing the disease category therein.
When the disease diagnosis information is segmented, the disease diagnosis information can be segmented based on the associated word stock to obtain m word elements; and then, under the condition that m lemmas are kept unchanged, performing word segmentation operation corresponding to the rest information based on a conventional word stock (such as a jieba word stock) to obtain the rest n-m lemmas, namely, finally obtaining n lemmas.
In step S108C, each word element is mapped into a d-dimensional word vector, so as to obtain an n×d-dimensional word vector.
Illustratively, 128-dimensional word vectors for each word element may be obtained through a word2vec model or the like.
Step S108D, inputting the n×d word vector into a neural network model, so as to output a classification vector through the neural network model, where the classification vector is used to represent the confidence of each disease degree of the disease category.
If the degree of illness of the disease category is classified into five classes (degree of illness 1, degree of illness 2, degree of illness 3, degree of illness 4, degree of illness 5), and the classification vector is (0.66,0.90,0.80,0.71,0.40), then: 0.66 represents the confidence of the degree of illness 1 in the disease category, 0.90 represents the confidence of the degree of illness 2 in the disease category, and so on.
In an exemplary embodiment, the neural network model may include a convolution layer and an LR (logistic regression) layer, where the convolution layer includes a number of convolution kernels with steps of f×d of 1, and a convolution operation is performed on an n×d-dimensional word vector matrix by the convolution layer to obtain a number of convolution feature maps of (n-f+1) ×1. That is, each convolution feature map has a width of 1 and a length of n-f+1. The length of the convolution kernel is f, and the number of the word elements is n. n is a positive integer greater than 1.
The convolution characteristic diagram comprises (n-f+1) 1 elements, and the calculation formula is as follows:
c ij ＝f(w ij ⊙m i +b i )
wherein c ij Characteristic value w for the j-th element in (n-f+1) in the i-th characteristic convolution map ij For the word vector matrix covered by the convolution kernel corresponding to the ith convolution feature map, as indicated by the matrix multiplication, m i B is a convolution kernel for calculating the ith convolution feature map i For the bias term used to calculate the ith convolution feature map, f is a nonlinear activation function, such as a ReLU function.
Configuring the jth element in each convolution feature diagram into the jth input vector to obtain (n-f+1) input vectors, wherein j is more than or equal to 1 and less than or equal to (n-f+1);
the (n-f+1) input vectors are input into an LR layer through which confidence of each degree of illness of the disease category is output.
Step S108E, determining whether to push the prompt message to the personal account according to the illness degree with the highest confidence.
If the disease category extracted from the disease diagnosis information includes disease category 1, disease category 2 and disease category 3, and the disease degree of disease category 1 is disease degree 2, disease category 2 is disease degree 1, disease category 3 is disease degree 3, the confidence of each disease degree is calculated, the confidence of disease degree 1 is obtained to be 0.66, the confidence of disease degree 2 is 0.90, and the confidence of disease degree 3 is 0.80, and the confidence of disease degree 2 is highest, so that the confidence is high, and the method is accurate. And if the illness state degree 2 output by the neural network model is a more serious degree, pushing the prompt message (such as prompt please seek medical attention as soon as possible) to the personal account. Or extracting the mobile phone number of the user from the field describing the mobile phone number, and pushing the prompt message to the mobile phone of the user. Or extracting the mailbox information of the user from the field describing the mailbox information, and pushing the prompt message to the mailbox of the user.
The method is characterized in that a plurality of designated doctors mark disease diagnosis information of disease degree in advance, the neural network model is subjected to supervision training in advance through the disease diagnosis information, and classification operation is performed on the disease degree of the disease diagnosis information to be identified through the trained neural network model.
Optionally, as shown in fig. 3, the medical data pushing method may further include step S110: and pushing medical information to the personal account according to the disease category and the disease degree corresponding to the disease category.
As shown in fig. 4, the step S110 may further include:
step S110A, one or more target medical institutions are searched from the medical knowledge graph according to the disease category.
The medical knowledge graph is constructed according to medical data in a medical database, the knowledge graph comprises a plurality of nodes, and the nodes comprise: medical institutions, departments, doctors, qualification, expertise, medical cases, and the like.
Step S110B, one or more doctors with corresponding medical technology qualification in each target medical institution are searched according to the disease degree of the disease category.
Step S110C, patient appointment data of each doctor in preset time are obtained, and one or more target doctors with appointment not fully ordered are screened out.
Step S110D, pushing the institution information of the one or more target medical institutions and the doctor information of each target doctor under each target medical institution to the personal account.
Example two
Referring to fig. 5, a medical data delivery system 20 is shown, the medical data delivery system 20 being partitioned into one or more program modules, the one or more program modules being stored in a storage medium and executed by one or more processors to complete the present invention. The program modules referred to in the present invention refer to a series of computer program instruction segments capable of performing specific functions, and are more suitable than the program itself for describing the execution of the medical data push system 20 in a storage medium, and the following description will specifically describe the functions of each program module in this embodiment:
the configuration module 200 is configured to configure a personal account and a two-dimensional code associated with the personal account for a user, where the two-dimensional code is used to provide a login entry for a client to enter the personal account.
In an exemplary embodiment, the configuration module 200 is further configured to:
receiving a user expense form sent by the front end of a hospital, wherein the user expense form comprises user information and payment information of a user; when the payment information is 'paid', a personal account is configured for the user according to the user information of the user, the user can receive message pushing of a hospital and the like through the personal account, and the personal account can log in based on network platforms such as 'WeChat public number'. The two-dimensional code comprises login entry information of the personal account, such as account platform entry link information and user identification.
The two-dimensional code is used for being printed on a receipt, and is obtained and sent to an electronic account of a user, such as an electronic mailbox.
In an exemplary embodiment, the two-dimensional code includes portal link information of the personal account and user real-name authentication portal link information. The medical data pushing system 20 further comprises a login module (not identified) for: receiving account login request information generated by the client based on the two-dimensional code, wherein the account login request information carries user real-name authentication information, and the user real-name authentication information is acquired from an authentication system by the client according to the user real-name authentication portal link information; and returning a login success page to the client according to the account login request information.
In another exemplary embodiment, the two-dimensional code includes portal link information of the personal account and user privacy obtaining information, where the user privacy obtaining information is used to request the client to provide a current mobile phone number. The medical data pushing system 20 further comprises a login module (not identified) for: receiving account login request information generated by a client based on the two-dimensional code, wherein the account login request information carries a mobile phone number of the client; comparing the mobile phone number recorded in the personal account with the mobile phone number carried in the account login request information; if the login page is the same, a login success page is returned to the client; and if the login failure page is different, returning a login failure page to the client.
The receiving module 202 is configured to receive a diagnosis report form uploaded by the medical system, where the diagnosis report form includes user information, diagnosis information, and image information.
Illustratively, the user information includes patient name, age, gender, cell phone number, medical insurance card number, identification card number; the diagnosis information comprises hospital names, clinic numbers, disease categories and diagnosis information; the image information is different according to the diagnosis type, such as CT diagnosis, nuclear magnetic resonance, ultrasonic diagnosis, etc.
The diagnostic report form includes a plurality of fields, the field types of which may include text boxes, check boxes, radio boxes, drop down selection boxes, and the like.
And the parsing module 204 is configured to parse the diagnostic report form, and store the parsed diagnostic report form in a database.
The diagnostic report table is parsed to obtain structured or semi-structured data, which is stored in the database in the form of a table, and database index information is configured for the diagnostic policy table.
And the judging module 206 is configured to match the diagnosis report table with the personal account according to the user information.
Comparing the user information in the diagnosis report form with the user information in the personal account, if the user information is the same, matching the diagnosis report form with the personal account, and if the user information is different, not matching the diagnosis report form with the personal account.
And the diagnostic information pushing module 208 is configured to, if it is determined that the diagnostic report table matches the personal account, push the generated report status of the diagnostic report table to the personal account, and/or extract disease diagnostic information in the diagnostic report table, determine the disease degree of the user through a neural network model, determine whether to push a prompt message to the personal account according to the disease degree, and push a report acquisition application entry of the diagnostic report table to the personal account.
In an exemplary embodiment, the report acquisition application portal includes: database index information of the diagnostic report table and electronic report payment link information.
In an exemplary embodiment, the diagnostic information push module 208 is further configured to: extracting a disease category corresponding to the diagnosis report form from a field for describing the disease category according to a preconfigured field name list, extracting the disease diagnosis information from a field for describing the disease diagnosis information, wherein the field name list comprises a field name of the field for describing the disease category and a field name of the field for describing the disease diagnosis information; performing word segmentation operation on the disease diagnosis information to obtain n word elements; mapping each word element into a d-dimensional word vector to obtain an n-x d-dimensional word vector; inputting the n x d-dimensional word vector into a neural network model to output a classification vector through the neural network model, wherein the classification vector is used for representing the confidence degree of each disease degree of the disease category; and determining whether to push the prompt message to the personal account according to the condition degree with the highest confidence.
Optionally, the medical information pushing module 210 may be further included, for: and pushing medical information to the personal account according to the disease category and the disease degree corresponding to the disease category. The method comprises the following steps: searching one or more target medical institutions from the medical knowledge graph according to the disease category, and searching one or more doctors with corresponding medical technology qualification in each target medical institution according to the disease degree of the disease category; acquiring patient reservation data of each doctor in preset time, and screening one or more target doctors for which reservation is not fully arranged; the institution information of one or more target medical institutions and the doctor information of each target doctor under each target medical institution are pushed to the personal account.
Example III
Referring to fig. 6, a hardware architecture of an embodiment of a computer device according to the present invention is shown. In this embodiment, the computer device 2 is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction. Such as rack servers, blade servers, tower servers, or rack servers (including individual servers, or a server cluster made up of multiple servers), etc. As shown, the computer device 2 includes, but is not limited to, at least a memory 21, a processor 22, a network interface 23, and a medical data delivery system 20 communicatively coupled to each other via a system bus. Wherein:
the memory 21 includes at least one type of computer-readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 21 may be an internal storage module of the computer device 2, such as a hard disk or a memory of the computer device 2. In other embodiments, the memory 21 may also be an external storage device of the computer device 2, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the computer device 2. Of course, the memory 21 may also comprise both an internal memory module of the computer device 2 and an external memory device. In this embodiment, the memory 21 is generally used to store an operating system and various application software installed on the computer device 2, such as program codes of the medical data pushing system 20. Further, the memory 21 may be used to temporarily store various types of data that have been output or are to be output.
The processor 22 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 22 is typically used to control the overall operation of the computer device 2, such as performing control and processing related to data interaction or communication with the computer device 2. In this embodiment, the processor 22 is configured to execute the program code or process data stored in the memory 21, for example, execute the medical data pushing system 20.
The network interface 23 may comprise a wireless network interface or a wired network interface, which network interface 23 is typically used for establishing a communication connection between the computer apparatus 2 and other electronic devices. For example, the network interface 23 is used to connect the computer device 2 to an external terminal through a network, establish a data transmission channel and a communication connection between the computer device 2 and the external terminal, and the like. The network may be an Intranet (Intranet), the Internet (Internet), a global system for mobile communications (Global System of Mobile communication, GSM), wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA), a 4G network, a 5G network, bluetooth (Bluetooth), wi-Fi, or other wireless or wired network.
It is noted that fig. 6 only shows a computer device 2 having components 21-23, but it is understood that not all of the illustrated components are required to be implemented, and that more or fewer components may alternatively be implemented.
In this embodiment, the medical data pushing system 20 stored in the memory 21 may be further divided into one or more program modules, which are stored in the memory 21 and executed by one or more processors (the processor 22 in this embodiment) to complete the present invention.
For example, fig. 5 shows a schematic program module of a medical data pushing system according to the second embodiment of the present invention, where the medical data pushing system 20 may be divided into a configuration module 200, a receiving module 202, an analyzing module 204, a judging module 206, a diagnostic information pushing module 208 and a medical information pushing module 210. Program modules in the present invention are understood to mean a series of computer program instruction segments capable of performing a specific function, more suitable than a program for describing the execution of the medical data delivery system 20 in the computer device 2. The specific functions of the program modules 200-210 are described in detail in the second embodiment, and are not described herein.
Example IV
The present embodiment also provides a computer-readable storage medium such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application store, etc., on which a computer program is stored, which when executed by a processor, performs the corresponding functions. The computer readable storage medium of the present embodiment is used to store the medical data pushing system 20, and when executed by the processor, implements the medical data pushing method of the first embodiment.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (9)
1. A medical data pushing method, comprising:
configuring a personal account and a two-dimensional code associated with the personal account for a user, wherein the two-dimensional code is used for providing a login entry for a client to enter the personal account;
receiving a diagnosis report form uploaded by a medical system, wherein the diagnosis report form comprises user information, diagnosis information and image information;
analyzing the diagnosis report form, and storing the analyzed diagnosis report form in a database;
matching the diagnostic report form with the personal account according to the user information; and
If the diagnostic report table matches the personal account, pushing the report status that the diagnostic report table has generated to the personal account, and/or,
extracting disease diagnosis information in the diagnosis report form, judging the disease degree of the user through a neural network model, determining whether to push a prompt message to the personal account according to the disease degree, and pushing a report acquisition application entry of the diagnosis report form to the personal account;
the two-dimensional code comprises entry link information of the personal account and user real-name authentication entry link information, and the login operation of the client entering the personal account comprises the following steps: receiving account login request information generated by a client based on the two-dimension code, wherein the account login request information carries user real-name authentication information, and the user real-name authentication information is acquired from an authentication system by the client according to the user real-name authentication entry link information; and returning a login success page to the client according to the account login request information.
2. The medical data pushing method according to claim 1, wherein the two-dimensional code includes portal link information of the personal account and user privacy obtaining information, and the user privacy obtaining information is used for requesting the client to provide a current mobile phone number of the client, and the method further includes:
receiving account login request information generated by a client based on the two-dimensional code, wherein the account login request information carries a mobile phone number of the client;
comparing the mobile phone number recorded in the personal account with the mobile phone number carried in the account login request information;
if the login page is the same, a login success page is returned to the client; and
And if the login failure page is different, returning a login failure page to the client.
3. The medical data pushing method according to claim 1, wherein the step of extracting disease diagnosis information in the diagnosis report form, judging the illness state of the user through a neural network model, determining whether to push a prompt message to the personal account according to the illness state, comprises:
extracting a disease category corresponding to the diagnosis report form from a field for describing the disease category according to a preconfigured field name list, extracting the disease diagnosis information from a field for describing the disease diagnosis information, wherein the field name list comprises a field name of the field for describing the disease category and a field name of the field for describing the disease diagnosis information;
performing word segmentation operation on the disease diagnosis information to obtain n word elements;
mapping each word element into a d-dimensional word vector to obtain an n-x d-dimensional word vector;
inputting the n x d-dimensional word vector into a neural network model to output a classification vector through the neural network model, wherein the classification vector is used for representing the confidence degree of each disease degree of the disease category;
and determining whether to push the prompt message to the personal account according to the condition degree with the highest confidence.
4. The medical data pushing method of claim 3, further comprising: pushing medical information to the personal account according to the disease category and the disease degree corresponding to the disease category:
searching one or more target medical institutions from the medical knowledge graph according to the disease category;
searching one or more doctors with corresponding medical technology qualification in each target medical institution according to the illness degree of the illness class;
acquiring patient reservation data of each doctor in preset time, and screening one or more target doctors for which reservation is not fully arranged;
the institution information of one or more target medical institutions and the doctor information of each target doctor under each target medical institution are pushed to the personal account.
5. A medical data pushing system, comprising:
the configuration module is used for configuring a personal account for a user and a two-dimensional code associated with the personal account, wherein the two-dimensional code is used for providing a login entry for a client to enter the personal account;
the receiving module is used for receiving a diagnosis report form uploaded by the medical system, wherein the diagnosis report form comprises user information, diagnosis information and image information;
the analysis module is used for analyzing the diagnosis report form and storing the analyzed diagnosis report form in a database;
the judging module is used for matching the diagnosis report table with the personal account according to the user information; and
The diagnosis information pushing module is used for pushing the generated report state of the diagnosis report table to the personal account if the diagnosis report table is matched with the personal account, and/or extracting disease diagnosis information in the diagnosis report table, judging the illness state of the user through a neural network model, determining whether to push a prompt message to the personal account according to the illness state, and pushing a report acquisition application entry of the diagnosis report table to the personal account;
the configuration module is further configured to: the two-dimensional code comprises entry link information of the personal account and user real name authentication entry link information, and the login operation of the client entering the personal account comprises the following steps: receiving account login request information generated by a client based on the two-dimension code, wherein the account login request information carries user real-name authentication information, and the user real-name authentication information is acquired from an authentication system by the client according to the user real-name authentication entry link information; and returning a login success page to the client according to the account login request information.
6. The medical data pushing system of claim 5, wherein the diagnostic information pushing module is further configured to:
extracting a disease category corresponding to the diagnosis report form from a field for describing the disease category according to a preconfigured field name list, extracting the disease diagnosis information from a field for describing the disease diagnosis information, wherein the field name list comprises a field name of the field for describing the disease category and a field name of the field for describing the disease diagnosis information;
performing word segmentation operation on the disease diagnosis information to obtain n word elements;
mapping each word element into a d-dimensional word vector to obtain an n-x d-dimensional word vector;
inputting the n x d-dimensional word vector into a neural network model to output a classification vector through the neural network model, wherein the classification vector is used for representing the confidence degree of each disease degree of the disease category;
and determining whether to push the prompt message to the personal account according to the condition degree with the highest confidence.
7. The medical data pushing system of claim 6, wherein the diagnostic information pushing module is further configured to push medical information to the personal account by the disease category and the degree of illness corresponding to the disease category:
searching one or more target medical institutions from the medical knowledge graph according to the disease category;
searching one or more doctors with corresponding medical technology qualification in each target medical institution according to the illness degree of the illness class;
acquiring patient reservation data of each doctor in preset time, and screening one or more target doctors for which reservation is not fully arranged;
the institution information of one or more target medical institutions and the doctor information of each target doctor under each target medical institution are pushed to the personal account.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the computer program when executed by the processor implements the steps of the medical data pushing method according to any of claims 1 to 4.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored therein a computer program executable by at least one processor to cause the at least one processor to perform the steps of the medical data pushing method according to any of claims 1 to 4.
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| CN110752026A (en) * | 2019-09-19 | 2020-02-04 | 深圳市第二人民医院 | Cerebrovascular medical quality control method, system, equipment and storage medium |
| CN112329448B (en) * | 2020-11-13 | 2024-02-20 | 浙江卡易智慧医疗科技有限公司 | Intelligent error correction and attention information prompting method for writing report |
| CN112733528B (en) * | 2020-12-31 | 2023-02-14 | 深圳平安医疗健康科技服务有限公司 | Code matching method, device and equipment for medical data and storage medium |
| CN113470778A (en) * | 2021-06-09 | 2021-10-01 | 致美天使(福州)科技有限公司 | Report reading method and system based on two-dimensional code |
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