CN112700836B - Follow-up information based information pushing method and device and storage medium - Google Patents
Follow-up information based information pushing method and device and storage medium Download PDFInfo
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- CN112700836B CN112700836B CN202110008687.3A CN202110008687A CN112700836B CN 112700836 B CN112700836 B CN 112700836B CN 202110008687 A CN202110008687 A CN 202110008687A CN 112700836 B CN112700836 B CN 112700836B
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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- G—PHYSICS
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Abstract
The invention discloses an information pushing method, a pushing device and a storage medium based on follow-up information, wherein the method comprises the following steps: acquiring preset follow-up information and a preset database; acquiring first information corresponding to preset follow-up information in a preset database; acquiring questionnaire information of a patient corresponding to preset follow-up information; screening the first information based on the questionnaire information to obtain screened information; and pushing the screened information. The information pushed to the patient is screened according to the follow-up information formulated by the doctor, so that the matching degree of the screened medical education information and the patient can be improved, the accuracy and pertinence of information pushing are improved, and the reading experience of the patient is improved; adopt multiple condition to carry out screening once more to medical education information before with medical education information propelling movement to patient, improve information propelling movement's accuracy nature, adopt the mode of propelling movement in advance simultaneously, for the similar relevant medical education data of patient propelling movement, can improve patient's reading and experience, satisfied patient's actual demand.
Description
Technical Field
The invention relates to the technical field of medical education, in particular to an information pushing method based on follow-up information, an information pushing device based on follow-up information and a computer readable storage medium.
Background
In daily life, people go to hospitals for medical treatment more and more after suffering from diseases, and particularly, patients suffering from chronic diseases, major diseases and serious diseases are mainly treated by going to the hospitals. After the patient is discharged after the treatment is completed, the patient needs to know the treatment information regularly for further tracking and understanding of the patient's condition, and the traditional method is to follow up the patient.
In the follow-up visit process of the patient, a doctor usually needs to make a follow-up visit plan, and through the follow-up visit plan, the doctor can better master the treatment effect and the disease change of the patient so as to ensure the optimal treatment effect on the patient.
On the other hand, in order to improve the treatment effect on the patient and the medical quality of the patient, the patient can have more medical knowledge by providing the patient with related educational information, so that the compliance of the patient to the treatment is improved. Conventional education methods often include ways of distributing educational promotional materials, providing active education to doctors, and pushing medical educational materials to patients. However, in the practical application process, the traditional patient education method is often to transmit fixed or general medical education information to the patient, and is not targeted, and cannot meet the actual requirements of the patient.
Disclosure of Invention
In order to solve the technical problems in the prior art, embodiments of the present invention provide an information push method based on follow-up information, and based on a traditional medical education information push method, the information pushed by the follow-up information of a patient is optimally screened in combination with the follow-up information of the patient, so that more accurate push information can be provided for the patient, and actual requirements are met.
In order to achieve the above object, an embodiment of the present invention provides an information pushing method based on follow-up access information, where the method includes: acquiring preset follow-up information and a preset database; acquiring first information corresponding to the preset follow-up information in the preset database; acquiring questionnaire information of a patient corresponding to the preset follow-up information; screening the first information based on the questionnaire information to obtain screened information; and pushing the screened information.
Preferably, the acquiring the preset database includes: acquiring medical education information; extracting feature information in the medical education information; and generating the preset database based on the medical education information and the corresponding characteristic information.
Preferably, the obtaining of the first information corresponding to the preset follow-up information in the preset database includes: extracting follow-up conditions in the preset follow-up information; and acquiring medical education information matched with the follow-up condition according to a preset algorithm and taking the medical education information as the first information.
Preferably, the characteristic information includes content information and restriction information, and the acquiring the medical education information matched with the follow-up condition according to a preset algorithm and as the first information includes: acquiring content information matched with the follow-up condition according to a preset similarity algorithm; acquiring matched education information corresponding to the content information; screening the matched education information based on the limitation information to obtain screened education information; and using the screened education information as the first information.
Preferably, the method further comprises: acquiring the quantity of the first information; judging whether the number is smaller than a preset threshold value or not; acquiring the upper information of the follow-up condition under the condition that the number is smaller than the preset threshold value; and acquiring medical education information matched with the upper information according to the preset algorithm and taking the medical education information as the first information.
Preferably, the questionnaire information includes entity information and corresponding attribute information, and the screening the first information based on the questionnaire information to obtain screened information includes: acquiring a plurality of corresponding attribute information in a plurality of questionnaire information of the patient; acquiring disease condition change information of the patient based on the plurality of attribute information; and screening the first information based on the key information by taking the attribute information and the disease state change information as key information to obtain the screened information.
Preferably, the pushing the filtered information includes: obtaining a similarity evaluation value for evaluating the similarity of the screened information entries; acquiring a preset similarity evaluation limit value; acquiring information to be pushed of which the similarity evaluation value is greater than or equal to the preset similarity evaluation limit value from the screened information; sorting the information to be pushed according to the similarity evaluation value to obtain sorted information; and sequentially pushing the sorted information.
Preferably, the method further comprises: acquiring the reading state of the sequenced information by the patient; under the condition that the reading state is read, acquiring similar information similar to the sequenced information; executing a duplicate removal operation on the similar information to obtain duplicate-removed information; and pushing the information after the duplication removal.
Correspondingly, an embodiment of the present invention further provides an information pushing device based on the follow-up information, where the device includes: the first acquisition unit is used for acquiring preset follow-up information and a preset database; the information pre-acquisition unit is used for acquiring first information corresponding to the preset follow-up information in the preset database; the second acquisition unit is used for acquiring the questionnaire information of the patient corresponding to the preset follow-up information; the information screening unit is used for screening the first information based on the questionnaire information to obtain screened information; and the pushing unit is used for pushing the screened information.
Preferably, the first acquiring unit includes: the acquisition module is used for acquiring medical education information; the characteristic extraction module is used for extracting characteristic information in the medical education information; and the database generation module is used for generating the preset database based on the medical education information and the corresponding characteristic information.
Preferably, the information pre-acquisition unit includes: the extraction module is used for extracting the follow-up condition in the preset follow-up information; and the matching module is used for acquiring the medical education information matched with the follow-up condition according to a preset algorithm and taking the medical education information as the first information.
Preferably, the feature information includes content information and restriction information, and the matching module is configured to: acquiring content information matched with the follow-up condition according to a preset similarity algorithm; acquiring matched education information corresponding to the content information; screening the matched education information based on the limitation information to obtain screened education information; and using the screened education information as the first information.
Preferably, the matching module is further configured to: acquiring the quantity of the first information; judging whether the number is smaller than a preset threshold value or not; acquiring the upper information of the follow-up condition under the condition that the number is smaller than the preset threshold value; and acquiring medical education information matched with the upper information according to the preset algorithm and taking the medical education information as the first information.
Preferably, the questionnaire information includes entity information and corresponding attribute information, and the information filtering unit includes: the attribute acquisition module is used for acquiring a plurality of corresponding attribute information in a plurality of questionnaire information of the patient; the disease condition information generating module is used for acquiring disease condition change information of the patient based on the attribute information; and the screening module is used for screening the first information based on the key information by taking the attribute information and the illness state change information as key information to obtain the screened information.
Preferably, the pushing unit includes: the similarity acquisition module is used for acquiring a similarity evaluation value for evaluating the similarity of the screened information entries; the limit value acquisition module is used for acquiring a preset similarity evaluation limit value; the information to be pushed acquisition module is used for acquiring the information to be pushed of which the similarity evaluation value is greater than or equal to the preset similarity evaluation limit value from the screened information; the sorting module is used for sorting the information to be pushed according to the similarity evaluation value to obtain sorted information; and the pushing module is used for sequentially pushing the sequenced information.
Preferably, the apparatus further comprises a pre-pushing unit, wherein the pre-pushing unit is configured to: acquiring the reading state of the sequenced information by the patient; under the condition that the reading state is read, acquiring similar information similar to the sequenced information; executing a duplicate removal operation on the similar information to obtain duplicate-removed information; and pushing the information after the duplication removal.
In another aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method provided by the embodiment of the present invention.
Through the technical scheme provided by the invention, the invention at least has the following technical effects:
on one hand, the medical education information pushed to the patient is screened according to the follow-up information formulated by the doctor, so that the matching degree of the screened medical education information and the patient can be greatly improved, the accuracy and pertinence of the pushed medical education information are improved, and the reading experience of the patient is improved; on the other hand, adopt multiple condition to carry out screening once more to medical education information before with medical education information propelling movement to patient, further improve the accuracy nature of information propelling movement, adopt the mode of propelling movement in advance simultaneously, for similar relevant medical education data of patient propelling movement, can further improve patient's reading and experience, satisfied patient's actual demand.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
fig. 1 is a flowchart of a specific implementation of an information pushing method based on follow-up information according to an embodiment of the present invention;
fig. 2 is a flowchart of a specific implementation of acquiring first information in an information push method based on follow-up information according to an embodiment of the present invention;
fig. 3 is a flowchart of a specific implementation of further acquiring first information according to upper information of a follow-up condition in the information push method based on follow-up information according to the embodiment of the present invention;
fig. 4 is a flowchart of a specific implementation of screening the first information in the information push method based on the follow-up information according to the embodiment of the present invention;
fig. 5 is a flowchart of a specific implementation of pushing filtered information in the information pushing method based on the follow-up information according to the embodiment of the present invention;
fig. 6 is a schematic structural diagram of an information pushing apparatus based on follow-up information according to an embodiment of the present invention.
Detailed Description
In order to solve the technical problems in the prior art, embodiments of the present invention provide an information push method based on follow-up information, and based on a traditional medical education information push method, the information pushed by the follow-up information of a patient is optimally screened in combination with the follow-up information of the patient, so that more accurate push information can be provided for the patient, and actual requirements are met.
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
The terms "system" and "network" in embodiments of the present invention may be used interchangeably. The "plurality" means two or more, and in view of this, the "plurality" may also be understood as "at least two" in the embodiments of the present invention. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" generally indicates that the preceding and following related objects are in an "or" relationship, unless otherwise specified. In addition, it should be understood that the terms first, second, etc. in the description of the embodiments of the invention are used for distinguishing between the descriptions and are not intended to indicate or imply relative importance or order to be construed.
Referring to fig. 1, an embodiment of the present invention provides an information pushing method based on follow-up information, where the method includes:
s10) acquiring preset follow-up information and a preset database;
s20) acquiring first information corresponding to the preset follow-up information in the preset database;
s30) obtaining questionnaire information of the patient corresponding to the preset follow-up information;
s40) screening the first information based on the questionnaire information to obtain screened information;
s50) pushing the screened information.
Further, in the embodiment of the present invention, the acquiring the preset database includes: acquiring medical education information; extracting feature information in the medical education information; and generating the preset database based on the medical education information and the corresponding characteristic information.
After the patient is treated, in order to further track and confirm the treatment effect of the patient and provide accurate medical education guidance for the patient, in one possible implementation mode, after the doctor sets up follow-up information for the patient, the preset follow-up information and the preset database can be further obtained. For example, in the embodiment of the present invention, first, a medical education material is obtained, for example, the medical education material may be a medical education article, then, feature information in the medical education article is extracted, for example, the feature information includes, but is not limited to, information such as article title, article content, keywords, adaptive population (including, but not limited to, age and gender) in the medical education article, and a word vector of the medical education article may be generated according to the information, and then, a preset database may be generated according to the feature information and the medical education article. Furthermore, similar medical education articles with similar contents can be extracted from the medical education materials, and the similar medical articles and the association relation thereof are stored in a preset database.
At this time, corresponding first information is extracted from a preset database according to preset follow-up information, for example, the first information is a medical education article matched with the preset follow-up information. Then, questionnaire information of the patient corresponding to the preset follow-up information is further acquired, for example, the questionnaire information is a questionnaire filled by the patient in the course of the previous follow-up, then the first information is screened according to the questionnaire, so that screened information conforming to the illness condition of the patient is acquired, for example, in the embodiment of the present invention, the screened information is a screened medical education article, and then the screened medical education article is pushed to the patient.
In the embodiment of the invention, the targeted information push is carried out according to the follow-up information and the questionnaire information of the patient, so that on one hand, the patient after treatment can be effectively ensured to obtain accurate and effective medical education information in time, and the patient is assisted to better consolidate and maintain the treatment effect; on the other hand, the cognition of the patient on the suffered diseases can be further enhanced, and the treatment compliance of the patient is improved.
Referring to fig. 2, in the embodiment of the present invention, the acquiring the first information corresponding to the preset follow-up information in the preset database includes:
s21) extracting follow-up conditions in the preset follow-up information;
s22) according to a preset algorithm, acquiring medical education information matched with the follow-up condition as the first information.
Further, in an embodiment of the present invention, the feature information includes content information and limitation information, and the acquiring the medical education information matching the follow-up condition according to a preset algorithm and serving as the first information includes:
s221) obtaining content information matched with the follow-up visit condition according to a preset similarity algorithm;
s222) acquiring matching education information corresponding to the content information;
s223) screening the matched education information based on the limit information to obtain screened education information;
s224) using the filtered education information as the first information.
In a possible implementation manner, after the preset database is obtained, the follow-up condition in the preset follow-up information is further extracted. For example, in the embodiment of the present invention, the content information matching the follow-up condition may be obtained according to a preset similarity algorithm, which may be a TF-IDF method, or a method of converting the follow-up condition and the feature information into a word vector to calculate the similarity of the rest of strings, and without limitation, each content information is scored according to the similarity algorithm to obtain the similarity of each content with respect to the follow-up condition, for example, in the embodiment of the present invention, a score threshold value may be first set, then the content information scored more than the score threshold value is taken as the content information matching the follow-up condition, then the matching education information corresponding to the content information is obtained according to the association relationship between the feature information and the medical education article, and then the matching education information is further screened according to the limit information, for example, in the embodiment of the present invention, the restriction information includes, but is not limited to, age, sex information, readable for pregnant women, readable for postpartum, etc., and the filtered education information is obtained, and then the filtered education information is used as the first information.
In the embodiment of the invention, the follow-up conditions in the follow-up plan formulated by the doctor are extracted, and the medical education articles associated with the patient in the current follow-up plan are screened out from the preset database according to the preset similarity algorithm; on the other hand, the medical education information pushed to the patient has higher disease relevance and accuracy, the medical quality of the patient is improved, and the treatment compliance of the patient can be further improved.
Referring to fig. 3, in the embodiment of the present invention, the method further includes:
s23) acquiring the number of the first information;
s24) judging whether the number is smaller than a preset threshold value;
s25) acquiring the upper information of the follow-up condition under the condition that the number is smaller than the preset threshold value;
s26) according to the preset algorithm, acquiring the medical education information matched with the upper information as the first information.
In order to ensure that enough medical education articles exist in the subsequent further screening process, in a possible implementation manner, after the first information is obtained for the first time, the number of the first information is further obtained, and whether the number is smaller than a preset threshold value is judged, for example, in the embodiment of the present invention, whether the number is smaller than 3 medical education articles can be judged, if the number of the first information is smaller than 3 medical education articles, it is determined that the number of the initially obtained medical education articles is too small, and therefore, upper information of the follow-up condition is obtained, and the medical education information matched with the upper information is obtained as the first information according to the budget algorithm, so as to expand the number of the obtained medical education articles, and ensure that enough articles exist in the subsequent further screening process to further extract more accurate articles to push to the patient.
Referring to fig. 4, in the embodiment of the present invention, the questionnaire information includes entity information and corresponding attribute information, and the screening the first information based on the questionnaire information to obtain screened information includes:
s41) acquiring a plurality of corresponding attribute information in a plurality of questionnaire information of the patient;
s42) acquiring disease condition change information of the patient based on the attribute information;
s43) the attribute information and the disease state change information are used as key information, the first information is screened based on the key information, and the screened information is obtained.
In one possible embodiment, the entity information and the corresponding attribute information in the questionnaire information of the patient are first obtained, for example, in a questionnaire, a question "do not much sputum at present? "and the corresponding option" 1, 2, or less ", and" 1, or more "is selected in the questionnaire by the patient, the entity information in the questionnaire can be acquired to include" amount of sputum ", and the corresponding attribute information is" amount of sputum ". At this time, a plurality of attribute information corresponding to the patient in a plurality of questionnaire information is further acquired, for example, in 3 questionnaires of the patient, the patient has "excessive phlegm", "excessive phlegm" and "insufficient phlegm" as options for "amount of phlegm", and disease condition change information of the patient can be generated based on the plurality of attribute information. At this time, the first information is screened based on the plurality of attribute information of the patient in the plurality of questionnaires and the generated disease state change information as key information, and screened information is obtained.
In the embodiment of the invention, the first information is screened according to the questionnaire information of the patients, so that the medical education information matched with the actual illness condition and the actual treatment condition of each patient can be obtained, the actual requirements of each patient are better met, the accuracy and the referential performance of the medical education information pushed for the patient are further improved, and the treatment compliance of the patient can be improved.
Referring to fig. 5, in the embodiment of the present invention, the pushing the filtered information includes:
s51) obtaining a similarity evaluation value for evaluating the similarity of the screened information items;
s52) acquiring a preset similarity evaluation limit value;
s53) acquiring the information to be pushed of which the similarity evaluation value is greater than or equal to the preset similarity evaluation limit value from the screened information;
s54) sorting the information to be pushed according to the similarity evaluation value to obtain sorted information;
s55) sequentially pushing the sorted information.
Further, in an embodiment of the present invention, the method further includes: acquiring the reading state of the sequenced information by the patient; under the condition that the reading state is read, acquiring similar information similar to the sequenced information; executing a duplicate removal operation on the similar information to obtain duplicate-removed information; and pushing the information after the duplication removal.
After the first information is screened and the screened information is obtained, the screened medical education information is ready to be pushed to the patient. In order to improve the relevance of the patient during reading and improve the reading experience of the patient, in a possible implementation manner, the similarity evaluation value of each piece of filtered information may be calculated according to the similarity algorithm, for example, in an embodiment of the present invention, 5 pieces of medical education articles are obtained in total, where the similarity evaluation value of each piece of medical education article is 91%, 84%, 89%, 63%, and 77%, a preset similarity evaluation limit is obtained at this time, for example, the preset similarity evaluation limit is 75%, and therefore, the 1 st, 2 th, 3 th, and 5 th medical education articles are taken as articles to be pushed, the 4 pieces of medical education articles are further sorted according to the similarity evaluation value, corresponding sorted information is obtained, and then the sorted information is sequentially pushed to the patient for the patient to read.
Further, in the actual pushing process, in order to avoid invalid reading of the patient, the pushed information is further screened. For example, in the embodiment of the present invention, after a medical education article is pushed, the reading state of the medical education article by the patient is obtained, for example, at a certain time, the reading state of the medical education article by the patient is determined to be read, so a similar article similar to the article is obtained, for example, a similar article similar to the current article in semantic can be obtained by using a word vector manner, or a similar article similar to the current article in literal can be obtained by using a method of calculating Jaccard similarity, then a deduplication operation is performed on the similar article, for example, in the embodiment of the present invention, the article already read by the patient and the article with similarity reaching a certain value can be used as duplicate articles, and the duplicate articles can be deleted from the similar articles, so as to obtain final deduplication information, and then the deduplication information is pushed to the patient, for example, in the embodiment of the present invention, after the patient clicks on the currently pushed medical education article, the above-mentioned deduplicated article can be pushed at the bottom of the article.
In the embodiment of the invention, the most similar medical education information is preferentially pushed to the patient according to the similarity of the patient state, so that the accuracy and pertinence of the medical education information pushed to the patient can be effectively improved, the reading experience of the patient is improved, and the treatment compliance of the patient is improved. Meanwhile, similar articles are pushed for the patient according to the actual reading condition of the patient, medical knowledge of the patient can be further expanded, and meanwhile, the pushed articles are further screened before being pushed, so that the accuracy of the pushed articles is further improved, and the reading experience of the patient is improved.
The following describes an information pushing apparatus based on follow-up information according to an embodiment of the present invention with reference to the drawings.
Referring to fig. 6, based on the same inventive concept, an embodiment of the present invention provides an information pushing apparatus based on follow-up access information, where the apparatus includes: the first acquisition unit is used for acquiring preset follow-up information and a preset database; the information pre-acquisition unit is used for acquiring first information corresponding to the preset follow-up information in the preset database; the second acquisition unit is used for acquiring the questionnaire information of the patient corresponding to the preset follow-up information; the information screening unit is used for screening the first information based on the questionnaire information to obtain screened information; and the pushing unit is used for pushing the screened information.
In an embodiment of the present invention, the first obtaining unit includes: the acquisition module is used for acquiring medical education information; the characteristic extraction module is used for extracting characteristic information in the medical education information; and the database generation module is used for generating the preset database based on the medical education information and the corresponding characteristic information.
In an embodiment of the present invention, the information pre-obtaining unit includes: the extraction module is used for extracting the follow-up condition in the preset follow-up information; and the matching module is used for acquiring the medical education information matched with the follow-up condition according to a preset algorithm and taking the medical education information as the first information.
In this embodiment of the present invention, the feature information includes content information and restriction information, and the matching module is configured to: acquiring content information matched with the follow-up condition according to a preset similarity algorithm; acquiring matched education information corresponding to the content information; screening the matched education information based on the limitation information to obtain screened education information; and using the screened education information as the first information.
In an embodiment of the present invention, the matching module is further configured to: acquiring the quantity of the first information; judging whether the number is smaller than a preset threshold value or not; acquiring the upper information of the follow-up condition under the condition that the number is smaller than the preset threshold value; and acquiring medical education information matched with the upper information according to the preset algorithm and taking the medical education information as the first information.
In this embodiment of the present invention, the questionnaire information includes entity information and corresponding attribute information, and the information filtering unit includes: the attribute acquisition module is used for acquiring a plurality of corresponding attribute information in a plurality of questionnaire information of the patient; the disease condition information generating module is used for acquiring disease condition change information of the patient based on the attribute information; and the screening module is used for screening the first information based on the key information by taking the attribute information and the illness state change information as key information to obtain the screened information.
In an embodiment of the present invention, the pushing unit includes: the similarity acquisition module is used for acquiring a similarity evaluation value for evaluating the similarity of the screened information entries; the limit value acquisition module is used for acquiring a preset similarity evaluation limit value; the information to be pushed acquisition module is used for acquiring the information to be pushed of which the similarity evaluation value is greater than or equal to the preset similarity evaluation limit value from the screened information; the sorting module is used for sorting the information to be pushed according to the similarity evaluation value to obtain sorted information; and the pushing module is used for sequentially pushing the sequenced information.
In an embodiment of the present invention, the apparatus further includes a pre-pushing unit, where the pre-pushing unit is configured to: acquiring the reading state of the sequenced information by the patient; under the condition that the reading state is read, acquiring similar information similar to the sequenced information; executing a duplicate removal operation on the similar information to obtain duplicate-removed information; and pushing the information after the duplication removal.
Further, the embodiment of the present invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the method according to the embodiment of the present invention.
Although the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solutions of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications all belong to the protection scope of the embodiments of the present invention.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention do not describe every possible combination.
Those skilled in the art will understand that all or part of the steps in the method according to the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In addition, any combination of various different implementation manners of the embodiments of the present invention is also possible, and the embodiments of the present invention should be considered as disclosed in the embodiments of the present invention as long as the combination does not depart from the spirit of the embodiments of the present invention.
Claims (13)
1. An information pushing method based on follow-up information, which is characterized by comprising the following steps:
acquiring preset follow-up information and a preset database;
acquiring first information corresponding to the preset follow-up information in the preset database, wherein the first information is a medical education article matched with the preset follow-up information;
acquiring questionnaire information of a patient corresponding to the preset follow-up information;
screening the first information based on the questionnaire information to obtain screened information;
pushing the screened information;
the acquiring of the preset database includes:
acquiring medical education information;
extracting feature information in the medical education information;
generating the preset database based on the medical education information and the corresponding characteristic information;
the questionnaire information includes entity information and corresponding attribute information, and the screening of the first information based on the questionnaire information to obtain screened information includes:
acquiring a plurality of corresponding attribute information in a plurality of questionnaire information of the patient;
acquiring disease condition change information of the patient based on the plurality of attribute information;
and screening the first information based on the key information by taking the attribute information and the disease state change information as key information to obtain the screened information.
2. The method according to claim 1, wherein the obtaining of the first information corresponding to the preset follow-up information in the preset database comprises:
extracting follow-up conditions in the preset follow-up information;
and acquiring medical education information matched with the follow-up condition according to a preset algorithm and taking the medical education information as the first information.
3. The method according to claim 2, wherein the characteristic information includes content information and restriction information, and the acquiring the medical education information matching the follow-up condition according to a preset algorithm and as the first information includes:
acquiring content information matched with the follow-up condition according to a preset similarity algorithm;
acquiring matched education information corresponding to the content information;
screening the matched education information based on the limitation information to obtain screened education information;
and using the screened education information as the first information.
4. The method of claim 2, further comprising:
acquiring the quantity of the first information;
judging whether the number is smaller than a preset threshold value or not;
acquiring the upper information of the follow-up condition under the condition that the number is smaller than the preset threshold value;
and acquiring medical education information matched with the upper information according to the preset algorithm and taking the medical education information as the first information.
5. The method of claim 1, wherein the pushing the filtered information comprises:
obtaining a similarity evaluation value for evaluating the similarity of the screened information entries;
acquiring a preset similarity evaluation limit value;
acquiring information to be pushed of which the similarity evaluation value is greater than or equal to the preset similarity evaluation limit value from the screened information;
sorting the information to be pushed according to the similarity evaluation value to obtain sorted information;
and sequentially pushing the sorted information.
6. The method of claim 5, further comprising:
acquiring the reading state of the sequenced information by the patient;
under the condition that the reading state is read, acquiring similar information similar to the sequenced information;
executing a duplicate removal operation on the similar information to obtain duplicate-removed information;
and pushing the information after the duplication removal.
7. An information pushing apparatus based on follow-up information, the apparatus comprising:
the first acquisition unit is used for acquiring preset follow-up information and a preset database;
the information pre-acquisition unit is used for acquiring first information corresponding to the preset follow-up information in the preset database, wherein the first information is a medical education article matched with the preset follow-up information;
the second acquisition unit is used for acquiring the questionnaire information of the patient corresponding to the preset follow-up information;
the information screening unit is used for screening the first information based on the questionnaire information to obtain screened information;
the pushing unit is used for pushing the screened information;
the first acquisition unit includes:
the acquisition module is used for acquiring medical education information;
the characteristic extraction module is used for extracting characteristic information in the medical education information;
the database generation module is used for generating the preset database based on the medical education information and the corresponding characteristic information;
the questionnaire information includes entity information and corresponding attribute information, and the information screening unit includes:
the attribute acquisition module is used for acquiring a plurality of corresponding attribute information in a plurality of questionnaire information of the patient;
the disease condition information generating module is used for acquiring disease condition change information of the patient based on the attribute information;
and the screening module is used for screening the first information based on the key information by taking the attribute information and the illness state change information as key information to obtain the screened information.
8. The apparatus of claim 7, wherein the information pre-fetching unit comprises:
the extraction module is used for extracting the follow-up condition in the preset follow-up information;
and the matching module is used for acquiring the medical education information matched with the follow-up condition according to a preset algorithm and taking the medical education information as the first information.
9. The apparatus of claim 8, wherein the characteristic information comprises content information and restriction information, and wherein the matching module is configured to:
acquiring content information matched with the follow-up condition according to a preset similarity algorithm;
acquiring matched education information corresponding to the content information;
screening the matched education information based on the limitation information to obtain screened education information;
and using the screened education information as the first information.
10. The apparatus of claim 8, wherein the matching module is further configured to:
acquiring the quantity of the first information;
judging whether the number is smaller than a preset threshold value or not;
acquiring the upper information of the follow-up condition under the condition that the number is smaller than the preset threshold value;
and acquiring medical education information matched with the upper information according to the preset algorithm and taking the medical education information as the first information.
11. The apparatus of claim 7, wherein the pushing unit comprises:
the similarity acquisition module is used for acquiring a similarity evaluation value for evaluating the similarity of the screened information entries;
the limit value acquisition module is used for acquiring a preset similarity evaluation limit value;
the information to be pushed acquisition module is used for acquiring the information to be pushed of which the similarity evaluation value is greater than or equal to the preset similarity evaluation limit value from the screened information;
the sorting module is used for sorting the information to be pushed according to the similarity evaluation value to obtain sorted information;
and the pushing module is used for sequentially pushing the sequenced information.
12. The apparatus according to claim 11, wherein the apparatus further comprises a pre-push unit configured to:
acquiring the reading state of the sequenced information by the patient;
under the condition that the reading state is read, acquiring similar information similar to the sequenced information;
executing a duplicate removal operation on the similar information to obtain duplicate-removed information;
and pushing the information after the duplication removal.
13. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 6.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111223548A (en) * | 2019-12-23 | 2020-06-02 | 中国人民解放军总医院 | Method and device for pushing guidance resource information, storage medium and computer equipment |
| CN111415719A (en) * | 2020-03-24 | 2020-07-14 | 京东方科技集团股份有限公司 | Patient medication education pushing method and device, electronic equipment and medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111223548A (en) * | 2019-12-23 | 2020-06-02 | 中国人民解放军总医院 | Method and device for pushing guidance resource information, storage medium and computer equipment |
| CN111415719A (en) * | 2020-03-24 | 2020-07-14 | 京东方科技集团股份有限公司 | Patient medication education pushing method and device, electronic equipment and medium |
Non-Patent Citations (1)
| Title |
|---|
| 基于微信平台的健康教育在痛风患者中的应用;常向鸽等;《河南医学研究》;20191213(第23期);全文 * |
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