CN113744821A

CN113744821A - Information detection method and device and storage medium

Info

Publication number: CN113744821A
Application number: CN202110125740.8A
Authority: CN
Inventors: 徐山豹; 王军; 周谦; 赵俊; 杨帅
Original assignee: Beijing Jingdong Tuoxian Technology Co Ltd
Current assignee: Beijing Jingdong Tuoxian Technology Co Ltd
Priority date: 2021-01-29
Filing date: 2021-01-29
Publication date: 2021-12-03
Also published as: WO2022161133A1; KR20230128082A

Abstract

The invention provides an information detection method and device and a storage medium; acquiring patient information, disease information and medicine information in a prescription file; then acquiring instruction indication of the medicine information, and acquiring supplementary data of the medicine information and supplementary data of the disease information if the instruction indication does not match with the disease information; if the supplementary data of the medicine information is matched with the supplementary data of the disease information, the use information of the medicine information is acquired, and then whether the use information is matched with the disease information and the patient information is detected, because the supplementary data of the medicine information and the supplementary data of the disease information are in a preset database, the supplementary data which are not contained in other medicine specifications of the acquired medicine information and disease information are mined, the matching degree of the medicine information and the disease information in the prescription can be comprehensively checked by matching the supplementary data of the disease information with the supplementary data of the medicine information, and the checking error of the prescription is reduced.

Description

Information detection method and device and storage medium

Technical Field

The embodiment of the invention relates to the technical field of prescription drug audit, in particular to an information detection method and device and a storage medium.

Background

The current intelligent auditing platform of the medical institution is in butt joint with a hospital information system, and assists pharmacists to audit outpatient prescriptions and hospitalized medical advice from the aspects of validity, standardability, adaptability and the like of prescriptions.

The existing auditing mode is machine auditing mainly, but the machine auditing is that the corresponding matching degree of medicines and patient symptoms is audited through a standard medicine specification. When the existing auditing mode faces the complex problem in the prescription, because machine auditing is only implemented according to the information directly extracted from the prescription, and only the matching degree of the most basic symptom information in the drug specification and the patient symptoms is audited, the auditing capability is insufficient, and the error of the auditing result is large.

Disclosure of Invention

The embodiment of the invention can effectively reduce the error of prescription auditing by the information detection method, the information detection device and the storage medium.

The technical scheme of the invention is realized as follows:

the embodiment of the invention provides an information detection method, which comprises the following steps:

acquiring a prescription file, and acquiring patient information, disease information and medicine information in the prescription file;

acquiring instruction indication corresponding to the medicine information;

if the instruction indication does not match with the disease information, path searching is carried out in a preset mapping relation corresponding to the disease information and the medicine information, and then supplementary data of the medicine information and supplementary data of the disease information are obtained;

if the supplementary data of the disease information is matched with the supplementary data of the medicine information, acquiring the use information of the medicine information; the usage information represents medication restriction information of the drug information;

determining an information detection result by detecting whether the usage information matches the condition information and the patient information.

In the above scheme, after the instruction manual indication corresponding to the medicine information is acquired, before determining an information detection result by detecting whether the usage information matches with the disease information and the patient information, the method further includes:

if the instruction is adapted to the condition information, the usage information is obtained.

In the above scheme, before the acquiring the prescription file and acquiring the patient information, the disease information and the drug information in the prescription file, the method further includes:

acquiring disease basic data and medicine basic data; the disease basic data characterizes relevant manifestations applicable to the disease and descriptive information relevant to the lesion part; the drug basic data represents the symptom information of drug use and the description information related to the drug application part;

carrying out normative transformation processing on the disease basic data and the medicine basic data to obtain a disease knowledge map corresponding to the disease basic data and a medicine knowledge map corresponding to the medicine basic data;

and constructing a first mapping relation between the disease information and the corresponding disease knowledge graph, and constructing a second mapping relation between the medicine information and the corresponding medicine knowledge graph.

In the above scheme, the disease knowledge map comprises: supplementary data corresponding to the disease information, wherein the medicine knowledge graph comprises: supplementary data of the drug information.

In the above scheme, the acquiring of the basic data of the disease and the basic data of the medicine includes:

acquiring basic data of the medicine in a western medicine specification and a Chinese medicine specification;

in the western medicine disease data, the disease basic data is acquired.

In the above scheme, the normative transformation processing on the disease basic data and the drug basic data to obtain the disease knowledge map corresponding to the disease basic data and the drug knowledge map corresponding to the drug basic data includes:

unifying units of the disease basic data, removing noise data of the disease basic data, and performing data mining and structural processing to obtain the disease knowledge graph;

unifying units of the basic data of the medicine, removing noise data of the basic data of the medicine, and performing data mining and structural processing to obtain the knowledge graph of the medicine.

In the above scheme, the noise data of the disease basic data includes: ambiguous data and duplicative data in the condition base data; the noise data of the drug basic data comprises: ambiguous data and repeated data in the drug base data.

In the foregoing solution, the preset mapping relationship includes: a first mapping relationship and the second mapping relationship;

if the instruction indication does not match the disease information, performing path search in a preset mapping relation corresponding to the disease information and the drug information, and further acquiring supplementary data of the drug information and supplementary data of the disease information, including:

if the instruction indication does not match the disease information, searching and acquiring the supplementary data of the medicine information in the second mapping relation, and searching and acquiring the supplementary data of the disease information in the first mapping relation; wherein the content of the first and second substances,

the supplementary data of the drug information includes at least one of: the medicine component information of the medicine information, the acting organ information of the medicine information, the adaptation symptom information of the medicine information, the overspecification use cycle evaluation information of the medicine information, the caution item information of the medicine information and the medicine number information of the medicine information;

the supplemental data for the condition information includes at least one of: treatment step information of the disease information, lesion site information of the disease information, symptom information of the disease information, disease number information of the disease information, concurrent disease information of the disease information, similar disease information of the disease information, and combined disease information of the disease information.

In the above scheme, the medicine information includes first medicine information and second medicine information; the preset mapping relationship comprises: a first mapping relationship and the second mapping relationship;

if the instruction indication does not match the disease information, performing path search on the disease information and the drug information in a preset mapping relation, and further acquiring supplementary data of the drug information and supplementary data of the disease information, including:

if the instruction indication does not match the disease information, searching for and acquiring first supplementary data of the first medicine information and second supplementary data of the second medicine information in the second mapping relation, and searching for and acquiring supplementary data of the disease information in the first mapping relation; wherein the content of the first and second substances,

the first supplemental data includes at least one of: drug component information of the first drug information, organ information of the first drug information, adaptation symptom information of the first drug information, overspecification use cycle evaluation information of the first drug information, caution item information of the first drug information, and drug number information of the first drug information; the second supplementary data includes: adverse reaction information of the second drug information;

the supplemental data for the condition information includes at least one of: treatment step information of the disease information, lesion site information of the disease information, symptom information of the disease information, etiology information of the disease information, and disease number information of the disease information.

In the above scheme, if the supplementary data of the disease information matches the supplementary data of the drug information, acquiring the usage information of the drug information includes:

if the first supplemental data does not match the supplemental data of the condition information, detecting whether the first supplemental data matches the second supplemental data;

if the first supplementary data is matched with the second supplementary data, acquiring the use information of the medicine information; the first supplementary data and the second supplementary data are matched to represent that the adaptive symptom information of the first medicine information is matched with the adverse reaction information of the second medicine information.

In the above solution, the determining an information detection result by detecting whether the usage information matches with the disease information and the patient information includes:

if the usage information matches the condition information and the patient information, determining that the information detection passes;

determining that the information detection failed if the usage information does not match the condition information and the patient information.

In the foregoing solution, the usage information includes: the system comprises information of usage and usage of the drug information, information of repeated drug use of the drug information, interaction information of the drug information, incompatibility information of the drug information, warning information of the drug information, super-multiple daily dose review information of the drug information and medical insurance regulation information of the drug information.

An embodiment of the present invention further provides an information detecting apparatus, including:

the file acquisition unit is used for acquiring a file, and acquiring patient information, disease information and medicine information in the file;

the information extraction unit is used for acquiring instruction indication corresponding to the medicine information;

the first processing unit is used for searching a path in a preset mapping relation corresponding to the disease information and the medicine information if the instruction indication does not match the disease information, and further acquiring supplementary data of the medicine information and supplementary data of the disease information;

the second processing unit is used for acquiring the use information of the medicine information if the supplementary data of the disease information is matched with the supplementary data of the medicine information;

a detection unit for determining an information detection result by detecting whether the usage information matches the condition information and the patient information.

The information detection device comprises a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and the processor executes the program to realize the steps in the method.

Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps in the method as described above.

In the embodiment of the invention, the patient information, the disease information and the medicine information are acquired from the prescription file; if the instruction manual of the medicine information is not matched with the disease information, path searching is carried out on the corresponding disease information and the medicine information in a preset mapping relation, and then supplementary data of the medicine information and supplementary data of the disease information are obtained; if the supplementary data of the disease information is matched with the supplementary data of the medicine information, acquiring the use information of the medicine information; the information detection result is determined by detecting whether the use information is matched with the disease information and the patient information, and the supplementary data of the medicine information and the supplementary data of the disease information are in a preset database, and the supplementary data of the disease information and the supplementary data of the medicine information which are not contained in other medicine specifications of the disease information are mined, so that the matching degree of the medicine information and the disease information in the prescription can be comprehensively checked by matching the supplementary data of the disease information with the supplementary data of the medicine information, and the error of prescription checking is reduced.

Drawings

Fig. 1 is a schematic flow chart of an alternative information detection method according to an embodiment of the disclosure;

fig. 2 is a schematic diagram illustrating an optional effect of the information detection method according to the embodiment of the disclosure;

fig. 3 is a schematic diagram illustrating an optional effect of the information detection method according to the embodiment of the disclosure;

fig. 4 is a schematic diagram illustrating an optional effect of the information detection method according to the embodiment of the disclosure;

fig. 5 is a schematic diagram illustrating an optional effect of the information detection method according to the embodiment of the disclosure;

fig. 6 is a schematic diagram illustrating an optional effect of the information detection method according to the embodiment of the disclosure;

FIG. 7 is a schematic flow chart of an alternative method for detecting information according to the disclosed embodiment of the invention;

fig. 8 is a schematic diagram illustrating an optional effect of the information detection method according to the embodiment of the disclosure;

FIG. 9 is a schematic flow chart diagram illustrating an alternative information detection method according to an embodiment of the disclosure;

FIG. 10 is a schematic flow chart diagram illustrating an alternative information detection method according to an embodiment of the disclosure;

fig. 11 is a schematic diagram illustrating an optional effect of the information detection method according to the embodiment of the disclosure;

FIG. 12 is a schematic flow chart diagram illustrating an alternative information detection method according to an embodiment of the disclosure;

fig. 13 is a schematic diagram illustrating an optional effect of the information detection method according to the embodiment of the disclosure;

FIG. 14 is a schematic flow chart diagram illustrating an alternative information detection method according to an embodiment of the disclosure;

FIG. 15 is a schematic structural diagram of an information detection apparatus according to an embodiment of the disclosure;

fig. 16 is a schematic diagram of a hardware entity of an information detection apparatus according to an embodiment of the disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention are further described in detail with reference to the drawings and the embodiments, the described embodiments should not be construed as limiting the present invention, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.

To the extent that similar descriptions of "first/second" appear in this patent document, the description below will be added, where reference is made to the term "first \ second \ third" merely to distinguish between similar objects and not to imply a particular ordering with respect to the objects, it being understood that "first \ second \ third" may be interchanged either in a particular order or in a sequential order as permitted, to enable embodiments of the invention described herein to be practiced in other than the order illustrated or described herein.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to be limiting of the invention.

Fig. 1 is an optional schematic flow chart of an information detection method according to an embodiment of the disclosure, and will be described with reference to the steps shown in fig. 1.

S01, acquiring a prescription file, and acquiring patient information, disease information and medicine information in the prescription file;

in the embodiment of the invention, a doctor makes a prescription. The information detection device can scan or extract information of the prescription, and then acquire patient information, disease information and medicine information in the prescription file. The information detection device may also extract patient information, medical condition information, and drug information in the prescription by an intelligent recognition method.

In the embodiment of the invention, a doctor can prepare a prescription on the prescription sheet in a handwriting mode, so that a paper prescription file is formed. The doctor can also make a prescription on the electronic prescription list through the intelligent terminal, so that an electronic prescription file is formed. When the information detection device acquires the paper prescription file, the information detection device can acquire the picture of the paper prescription file through the camera, and the information detection device extracts the information on the paper prescription file through an intelligent identification method, so that the patient information, the disease information and the medicine information on the paper prescription file are acquired. When the information detection device acquires the electronic prescription file, the information detection device can directly extract the electronic prescription file through an intelligent identification method, so that the patient information, the disease information and the medicine information on the electronic prescription file are acquired.

With reference to fig. 2, an effect diagram of a prescription document prepared by a doctor is shown. Wherein the name column, gender column, and age column reflect patient information. Wherein the clinical diagnosis bar reflects the disease information. Wherein the dispensing column reflects the drug information. The drug information may include at least one drug name and usage amount information. The name of the medicine can be the name of a traditional Chinese medicine or the name of a western medicine.

And S02, acquiring the instruction indication corresponding to the medicine information.

In the embodiment of the invention, after the information detection device acquires the medicine information in the prescription file, the information detection device can acquire the instruction manual indications corresponding to the pre-stored medicine information in the preset database. The instruction sheet indication is information on a treatable disease reflected in the instruction sheet of the medicine information.

With reference to fig. 3, in an embodiment of the present invention, the database may include: data of four layers of data layer, information layer, knowledge layer and wisdom layer.

In the embodiment of the present invention, the data layer includes: western medicine manual: the drug standard instruction has knowledge sources, such as drug standard indications, usage and dosage, and the like. Western medicine disease database: sources of knowledge relating to the disease, such as disease description, symptoms, alternative names, etc. The traditional Chinese medicine prescription database: the Chinese medicine prescription has knowledge sources such as indications, compatibility characteristics, dialectical points and the like. The traditional Chinese medicine prescription database comprises: the Chinese medicinal materials have knowledge sources such as drug properties, properties and tastes, meridian tropism, efficacy, clinic and the like. Super manual medicine evaluation of evidence following: the related knowledge of the super-manual of the medicine, such as super-manual indication symptoms, super-manual administration routes and the like, historical prescriptions, national medical insurance catalogues, clinical guidelines, super-manual use evaluation of Chinese patent medicines and the like.

In the embodiment of the invention, the information layer mainly performs data cleaning, data mining and data informatization on the data of the data layer. Wherein the data cleansing is used to focus on drug/disease disambiguation, unit standardization, drug/disease deduplication. Data mining for similar prescription mining, same syntax specification mining, data informatization for forming structured data convenient for modeling and easy for machine understanding

In the embodiment of the invention, the knowledge layer is used for constructing a plurality of knowledge maps, the construction quality of the knowledge maps determines the accuracy of the information detection device in understanding the prescription, and the knowledge maps include, but are not limited to, the following knowledge maps: medicine knowledge map: including entities such as drugs/indications, relationships such as medication purposes/applicable groups, and attribute information such as drug names/specifications/manufacturers. Disease knowledge profile: including entities such as diseases, drugs/diseases/symptoms, relationships such as treatment, common drugs/common symptoms, and attribute information such as disease names/disease causes/treatment modes.

With reference to fig. 4, a diagram of knowledge graph effect is provided according to an embodiment of the present invention. Wherein, the relation between the medicine information and the medicine information in the knowledge map effect diagram comprises: combining: that is, in the specification, two or more drugs have a main therapeutic effect on a main disease or a main illness at the same time. Combining: that is, two or more drugs are often prescribed in the history at the same time to have a major therapeutic effect on the primary symptoms or diseases. Auxiliary: the auxiliary main drugs strengthen the drugs for treating the main diseases or symptoms. Assisting: on the one hand, drugs for the treatment of secondary complications; on the other hand, the medicine can eliminate or slow down the toxicity and adverse reaction of the main medicine. The relationships between disorders include: and (3) concurrence: refers to a condition that causes another condition or symptom to occur during the development process, the latter is the complication of the former; another complication is that during the course of medical care, a patient suffers from one disease and develops another or several diseases related to the disease. Similarly: it refers to a condition with similar symptoms and causes. Merging: complications refer to the occurrence of several conditions in combination, and there is no causal relationship between these conditions. The drug includes information: the instruction manual is used for indicating symptoms, the medicine components of the medicine, the acting organs of the medicine, the adaptive symptoms of the medicine and the serial number of the medicine. The disorders include information: the treatment step of the disorder, the focal site of the disorder, the symptoms of the disorder, and the numbering of the disorder.

In the embodiment of the invention, the intelligent layer is used for supplementing the disease information and the medicine information in the prescription file based on a plurality of knowledge maps constructed by the knowledge layer. The information detection device can extract supplementary data of the medicine information and supplementary data of the disease information in the knowledge layer and the information layer through the intelligent layer by combining the medicine information, the disease information and the rule engine. Wherein the rules engine includes: indication rules, usage and dosage rules, repeated medication rules, interaction rules and incompatibility rules.

And S03, if the instruction is not matched with the disease information, performing path search in a preset mapping relation corresponding to the disease information and the medicine information, and further acquiring the supplementary data of the medicine information and the supplementary data of the disease information.

In the embodiment of the present invention, after the information detection device acquires the instruction indication of the medicine information, the condition information and the condition information characterizing the treatment in the instruction indication are matched, and if the condition information and the condition information characterizing the treatment in the instruction indication do not match, the information detection device detects the instruction indication of the medicine information. The information detection device may extract supplementary data of the drug information and supplementary data of the disorder information in the knowledge layer and the information layer by combining the drug information and the disorder information through a preset mapping relationship in the database.

In an embodiment of the present invention, the supplementary data of the medicine information includes at least one of: drug component information of the drug information, organ information of the drug information, adaptation symptom information of the drug information, overspecification use cycle evaluation information of the drug information, caution item information of the drug information, and drug number information of the drug information.

In the embodiment of the present invention, when the medicine information represents that a plurality of medicines exist in the prescription file, the supplementary data of the medicine information further includes: adverse reaction information of drug information.

In an embodiment of the present invention, the supplementary data of the disease information includes at least one of: treatment step information of the disease information, lesion site information of the disease information, symptom information of the disease information, disease number information of the disease information, concurrent disease information of the disease information, similar disease information of the disease information, and combined disease information of the disease information.

S04, if the supplementary data of the disease information matches the supplementary data of the medicine information, the usage information of the medicine information is acquired.

In the embodiment of the invention, when the information detection device detects that the supplementary data of the disease information is matched with the supplementary data of the medicine information, the information detection device can acquire the use information corresponding to the medicine information in the prescription file. Wherein the usage information characterizes: medication restriction information of the medicine information. The usage information includes: the system comprises usage and dosage information of the medicine information, repeated medication information of the medicine information, interaction information of the medicine information, incompatibility information of the medicine information, warning information of the medicine information, overdaily dose audit information of the medicine information and medical insurance regulation information of the medicine information.

In the embodiment of the invention, the supplementary data of the disease information and the supplementary data of the medicine information are matched and characterized: the supplemental data of the drug information is used to treat or act on the lesion site or symptom of the response of the condition information.

With reference to fig. 5, in the embodiment of the present invention, the information detecting apparatus detects the prescription file in fig. 5, and the medicine information that can be obtained is: lidocaine hydrochloride injection. The disease information is: periapical inflammation. First, the information detection apparatus acquires a specification indication of the lidocaine hydrochloride injection solution in the database. Wherein, the instruction manual indication of the lidocaine hydrochloride injection is characterized in that: lidocaine hydrochloride injection is not used for treating periapical periodontitis. The information detection device acquires information that the instruction indication of the lidocaine hydrochloride injection solution does not match with the disease information. Then the information detection device obtains the supplementary data of periapical periodontitis in a preset mapping relation of a database: information of treatment steps of periapical periodontitis, and supplementary data of lidocaine hydrochloride injection are obtained: information on adaptation symptoms of the lidocaine hydrochloride injection. Wherein the information of the treatment steps of the periapical periodontitis indicates that the periapical periodontitis needs to be locally anesthetized during treatment. Indication of adaptation symptom information of the lidocaine hydrochloride injection: the lidocaine hydrochloride injection is used for local anesthesia. The information detection device matches the treatment step information of periapical periodontitis with the adaptation symptom information of the lidocaine hydrochloride injection to obtain information that the treatment step information of periapical periodontitis matches with the adaptation symptom information of the lidocaine hydrochloride injection. The supplementary data of the medicine information and the supplementary data of the disease information are matched. And finally, the information detection device can acquire the use information corresponding to the lidocaine hydrochloride injection from the database.

With reference to fig. 6, in the embodiment of the present invention, the information detecting apparatus detects the prescription file in fig. 6, and the medicine information that can be acquired is: calcium hydroxyphenyl xanthate tablets; the disease information is diabetes. Firstly, the information detection device acquires the instruction indication of the calcium dobesilate tablet from the database. Wherein, the specification of the calcium hydroxyphenylsulfonate tablet is characterized by the following indications: calcium hydroxyphenylxanthate tablets are not used for the treatment of diabetes. The information detection device acquires the information that the instruction manual indication of the calcium dobesilate tablets is not matched with the disease information. Then the information detection device acquires the supplementary data of the diabetes in a preset mapping relation: and (3) information of the diabetic complications and obtaining supplement data of the calcium hydroxybenzoate tablets: information on adaptation symptoms of calcium hydroxyphenyl Huang tablets. Wherein the diabetic complication information is characterized in that the diabetic complication comprises a retinal disorder. Characterization of adaptation symptom information of calcium hydroxyphenyl Huang tablets: calcium hydroxybenzoate tablet can be used for treating retina diseases. The information detection device matches the diabetic complication information with the adaptation symptom information of the calcium hydroxyphenyl tablet to obtain information that the diabetic complication information matches the adaptation symptom information of the calcium hydroxyphenyl tablet. That is, information that the supplementary data of the disease information matches the supplementary data of the medicine information is obtained. And finally, the information detection device acquires the corresponding use information of the calcium dobesilate tablets from the database.

S05, determining the information detection result by detecting whether the usage information matches the disease information and the patient information.

In the embodiment of the invention, the information detection device can match each piece of information in the use information with the disease information and the patient information one by one so as to determine the information detection result. If the use information acquired by the information detection device is matched with the disease information and the patient information, the information detection device determines that the information detection of the prescription file is passed. If any one of the above-mentioned use information acquired by the information detection apparatus does not match the disease information and the patient information, the information detection apparatus determines that the information detection of the prescription file fails.

With reference to fig. 5, in the embodiment of the present invention, the usage amount information of the lidocaine hydrochloride injection obtained by the information detection apparatus is: 10 ml. The information detection device acquires the patient information of the age column as follows: age 12. The information detection device uses the usage amount information of the lidocaine hydrochloride injection as follows: the 10ml information and patient information are: matching the information of 12 years old, and determining that the usage amount information of the lidocaine hydrochloride injection is as follows because the lidocaine hydrochloride injection is not more than 5ml when being used for the minors: the 10ml information and patient information are: the 12 year old information does not match, thereby determining that the information detection of the prescription document failed.

In some embodiments, referring to fig. 7, fig. 7 is an optional flowchart of the information detection method according to the embodiment of the present invention, and S06 is further included between S02 and S05 shown in fig. 1, which will be described with reference to the steps.

And S06, if the instruction is matched with the disease information, acquiring the use information.

In the embodiment of the invention, after the information detection device acquires the instruction indication, the symptom and the symptom information which characterize the treatment in the instruction indication are matched, and if the instruction indication shows that the symptom and the symptom information which characterize the treatment in the instruction indication are matched. The information detection device will obtain the usage information corresponding to the drug information in the prescription file.

In some embodiments, referring to fig. 8, fig. 8 is an optional flowchart of the information detection method provided in the embodiment of the present invention, and S01 shown in fig. 1 further includes implementation of S07-S09 before, which will be described with reference to the steps.

And S07, acquiring basic disease data and basic medicine data.

In the embodiment of the invention, before the information detection device detects the information of the prescription, a preset mapping relation is firstly constructed on the basis of a data layer, an information layer, a knowledge layer and an intelligent layer in a database. First, the information detection means acquires the disease basic data of the disease information and the medicine basic data of the medicine information in the data layer. The disease basic data represents related manifestations applicable to the disease and description information related to the lesion part; the drug basic data characterizes the symptom information of drug use and the description information related to the drug application site.

In the embodiment of the invention, the information detection device can acquire the drug basic data of the drug information in the western medicine specification, the traditional Chinese medicine prescription database, the super-specification drug evidence-based evaluation, the historical prescription, the national medical insurance catalogue and the Chinese patent drug super-specification use evaluation of the data layer. Wherein, the basic data of the medicine comprises: the medicine components of the medicine, the acting organs of the medicine, the adaptation symptoms of the medicine, the serial number of the medicine, the adverse reaction information and the like.

In the embodiment of the invention, the information detection device can acquire disease basic data of the disease information in a western medicine disease database and a clinical guide of a data layer. Wherein the basic data of the disease condition comprises: the treatment step of the disorder, the focal site of the disorder, the symptoms of the disorder, and the numbering of the disorder.

And S08, performing normative transformation processing on the disease basic data and the medicine basic data to obtain a disease knowledge map corresponding to the disease basic data and a medicine knowledge map corresponding to the medicine basic data.

In the embodiment of the invention, the information detection device respectively unifies corresponding units of the disease basic data and the basic data of the medicine, and converts the units into the structured data which can be acquired by a computer, so that a disease knowledge graph corresponding to the disease basic data and a medicine knowledge graph corresponding to the medicine basic data can be acquired.

Wherein, the disease knowledge map comprises: supplementary data corresponding to the disease information, the medicine knowledge map comprises: supplementary data of the medicine information.

S09, constructing a first mapping relation between the disease information and the corresponding disease knowledge graph, and constructing a second mapping relation between the medicine information and the corresponding medicine knowledge graph.

In the embodiment of the invention, the information detection device constructs a first mapping relation between each piece of disease information and the corresponding disease knowledge graph. That is, a first mapping relationship between each of the disease information and the corresponding supplementary data is constructed. The information detection device constructs a second mapping relationship between each piece of medicine information and the corresponding medicine knowledge graph. That is, a second mapping relationship between each piece of medicine information and the corresponding supplementary data is constructed.

In some embodiments, referring to fig. 9, fig. 9 is an optional flowchart of the information detection method provided in the embodiment of the present invention, and S07 shown in fig. 8 can also be implemented through S10-S11, which will be described with reference to the steps.

S10 in Western and Chinese medicine specifications, drug basic data is obtained.

In the embodiment of the present invention, before the information detection device detects the prescription information, the information detection device first acquires the disease basic data of the disease information and the medicine basic data of the medicine information from the western medicine specification and the chinese medicine specification in the data layer.

The Chinese and western medicine specification can comprise: super manual medicine evidence-based evaluation, national medical insurance catalogue and historical prescription. The Chinese medicine instruction can comprise: obtaining medicine information from Chinese medicine prescription database, and Chinese patent medicine overspecification use evaluation

S11 obtaining basic disease data from the Western medicine disease data.

In the embodiment of the invention, the information detection device acquires basic data of disease information from western medicine disease data.

In some embodiments, referring to fig. 10, fig. 10 is an optional flowchart of the information detection method provided in the embodiment of the present invention, and S08 shown in fig. 8 can also be implemented through S12-S13, which will be described with reference to various steps.

And S12, unifying the units of the disease basic data, removing the noise data of the disease basic data, and performing data mining and structuring processing to obtain a disease knowledge map.

In the embodiment of the invention, the information detection device unifies units in basic data of diseases. For example, the fever temperature in the disease basic data is unified. And then removing noise data in the disease basic data, and performing data mining on the disease basic data. Such as mining of complication information in the underlying data of the condition. The disease underlying data is then structured to provide information that can be processed by a computer. I.e., a knowledge map of the condition.

In an embodiment of the present invention, the noise data of the disease basic data includes: ambiguous data and duplicate data in the condition base data. The disease basic data is structured, namely text information of the disease basic data is processed through an algorithm to obtain corresponding character information, and the corresponding character information is stored in a computer database.

And S13, unifying units of the basic data of the medicine, removing noise data of the basic data of the medicine, and performing data mining and structural processing to obtain a medicine knowledge map.

In the embodiment of the invention, the information detection device unifies units in the basic data of the medicine. For example, the dosage in the drug basic data is unified into milliliters. And then removing noise data in the basic data of the medicine, and performing data mining on the basic data of the medicine. For example, to mine adverse reaction information in drug basic data. The basic data of the medicine is then structured to obtain information which can be processed by a computer. I.e., a drug knowledge map.

In the embodiment of the invention, the noise data of the basic data of the medicine comprises the following data: ambiguous data and duplicate data in drug base data. The basic data of the medicine is structurally processed, namely the text information of the basic data of the disease is processed through an algorithm to obtain corresponding character information, and the corresponding character information is stored in a computer database.

In some embodiments, referring to fig. 11, fig. 11 is an optional flowchart of the information detection method provided in the embodiment of the present invention, and S03 shown in fig. 1 may also be implemented through S14, which will be described with reference to steps.

And S14, if the instruction is not matched with the disease information, searching the supplementary data for acquiring the medicine information in the second mapping relation, and searching the supplementary data for acquiring the disease information in the first mapping relation.

In the embodiment of the present invention, after the information detection device acquires the instruction indication of the medicine information, the condition information and the condition information characterizing the treatment in the instruction indication are matched, and if the condition information and the condition information characterizing the treatment in the instruction indication do not match, the information detection device detects the instruction indication of the medicine information. The information detection apparatus may look up the supplementary data corresponding to the disease information in the first mapping relationship. And simultaneously, the information detection device searches the supplementary data corresponding to the medicine information in the second mapping relation.

The supplementary data of the drug information includes at least one of: drug component information of the drug information, organ information of the drug information, adaptation symptom information of the drug information, overspecification use cycle evaluation information of the drug information, caution item information of the drug information, and drug number information of the drug information.

In some embodiments, referring to fig. 12, fig. 12 is an optional flowchart of the information detection method provided in the embodiment of the present invention, and S03-S04 shown in fig. 1 can also be implemented through S15-S18, which will be described with reference to the steps.

And S15, if the instruction indication does not match with the disease information, searching for the first supplementary data for acquiring the first medicine information and the second supplementary data for acquiring the second medicine information in the second mapping relation, and searching for the supplementary data for acquiring the disease information in the first mapping relation.

In the embodiment of the invention, the information detection device acquires two pieces of medicine information, namely first medicine information and second medicine information, in the prescription file. After acquiring the instruction indications of the first drug information and the second drug information, the information detection device matches the disease condition and the disease condition information which represent treatment in the instruction indications, and if the instruction indications of the first drug information and the second drug information do not match the disease condition and the disease condition information which represent treatment. The information detecting means may look up the first supplementary data for acquiring the first medicine information and the second supplementary data for the second medicine information in the second mapping relationship while looking up the supplementary data for acquiring the disease information in the first mapping relationship.

The first supplemental data includes at least one of: the medication component information of the first medication information, the organ information of the first medication information, the adaptation symptom information of the first medication information, the overspecification use cycle evaluation information of the first medication information, the notice information of the first medication information, and the medication number information of the first medication information. The second supplementary data includes: adverse reaction information of the second drug information.

S16, if the first supplementary data does not match the supplementary data of the disease information, it is detected whether the first supplementary data matches the second supplementary data.

In the embodiment of the invention, if the information detection device detects that the first supplementary data of the first medicine information does not match with the supplementary data of the disease information. That is, the first supplementary data of the first medicine information is supplementary to the non-symptomatic condition information. The information detecting means starts detecting whether the first supplementary data and the second supplementary data match.

S17, if the first supplementary data matches the second supplementary data, the usage information of the medicine information is acquired.

In the embodiment of the invention, if the adaptive symptom information in the first supplementary data of the first medicine information matches the adverse reaction information in the second supplementary data of the second medicine information. The information detection device obtains the usage information corresponding to the drug information in the database.

Wherein the usage information includes: the system comprises information of usage and dosage of medicine information, information of repeated medication of the medicine information, interaction information of the medicine information, incompatibility information of the medicine information, warning information of the medicine information, overdaily dose audit information of the medicine information and medical insurance regulation information of the medicine information.

With reference to fig. 13, in the embodiment of the present invention, the information detecting apparatus detects the prescription file in fig. 13, and the medicine information that can be acquired is: glucocorticoids and calcium agents; the disease information is acute urticaria. First, the information detection apparatus obtains a specification indication of glucocorticoid and calcium agent in a database. Wherein the instructions for glucocorticoids are characterized by indications: glucocorticoid for the treatment of acute urticaria, instruction for indications for calcium agents: calcium agents are not used to treat acute urticaria. The information detection means acquires information that the first supplemental data of the calcium agent does not match the condition information. Then the information detection device acquires second supplementary data of glucocorticoid in a knowledge graph constructed by a smart layer of a database: adverse reaction information of glucocorticoid and first supplement data of calcium agent are obtained: indication of calcium agents. Adverse reaction information of the glucocorticoid indicates that the glucocorticoid easily causes osteoporosis of patients. Indication of calcium agents for adaptation symptoms information characterization: the calcium preparation can be used for treating osteoporosis. The information detection device matches the second supplementary data of the glucocorticoid with the first supplementary data of the calcium preparation to obtain the information that the second supplementary data of the glucocorticoid matches the first supplementary data of the calcium preparation. And finally, the information detection device can acquire the corresponding use information of the glucocorticoid and the calcium agent in the prescription file.

S18, if the usage information matches the disease information and the patient information, it is determined that the information detection has passed.

In the embodiment of the invention, the information detection device matches the usage amount information of the medicine information, the repeated use information of the medicine information, the interaction information of the medicine information, the incompatibility information of the medicine information, the warning information of the medicine information, the super-large daily dose review information of the medicine information and the medical insurance regulation information of the medicine information with the disease information and the patient information one by one so as to determine the information detection result. If the use information acquired by the information detection device is matched with the disease information and the patient information, the information detection device determines that the information detection of the prescription file is passed.

In some embodiments, referring to fig. 14, fig. 14 is an optional flowchart of the information detection method provided in the embodiment of the present invention, and S18 shown in fig. 12 may also be implemented through S19, which will be described with reference to steps.

S19, if the usage information does not match the condition information and the patient information, determining that the information detection failed.

In the embodiment of the invention, the information detection device matches the usage amount information of the medicine information, the repeated use information of the medicine information, the interaction information of the medicine information, the incompatibility information of the medicine information, the warning information of the medicine information, the super-large daily dose review information of the medicine information and the medical insurance regulation information of the medicine information with the disease information and the patient information one by one so as to determine the information detection result. If any one of the above-mentioned use information acquired by the information detection apparatus does not match the disease information and the patient information, the information detection apparatus determines that the information detection of the prescription file fails.

In some embodiments, referring to fig. 15, fig. 15 is a schematic structural diagram of an information detecting apparatus according to an embodiment of the present invention, and an information detecting apparatus 800 according to an embodiment of the present invention includes: a file acquisition unit 803, an information extraction unit 804, a first processing unit 805, a second processing unit 806, and a detection unit 807.

A file acquiring unit 803 for acquiring a file in which patient information, medical condition information, and medicine information are acquired;

an information extraction unit 804, configured to obtain a specification indication corresponding to the medicine information;

the first processing unit 805 is configured to, if the instruction manual indication does not match the symptom information, perform path lookup in a preset mapping relationship for the symptom information and the drug information, and further obtain supplementary data of the drug information and supplementary data of the symptom information;

a second processing unit 806, configured to obtain usage information of the medicine information if the supplementary data of the disease information matches the supplementary data of the medicine information;

a detecting unit 807 for determining an information detection result by detecting whether the usage information matches with the condition information and the patient information.

In this embodiment of the present invention, the first processing unit 805 of the information detecting apparatus 800 is configured to obtain the usage information if the instruction is adaptive to the symptom matching information.

In the embodiment of the present invention, the first processing unit 805 of the information detecting apparatus 800 is configured to obtain basic data of a disease and basic data of a medicine; carrying out normative transformation processing on the disease basic data and the drug basic data to obtain a disease knowledge map corresponding to the disease basic data and a drug knowledge map corresponding to the drug basic data; and constructing a first mapping relation between the disease information and the corresponding disease knowledge graph, and constructing a second mapping relation between the medicine information and the corresponding medicine knowledge graph.

The disease state knowledge map comprises: supplementary data corresponding to the disease information, the medicine knowledge map comprises: supplementary data of the medicine information.

In the embodiment of the present invention, the first processing unit 805 of the information detecting apparatus 800 is configured to obtain basic data of a medicine in the western medicine specification and the chinese medicine specification; in the western medicine disease data, basic disease data is obtained.

In the embodiment of the present invention, the first processing unit 805 of the information detecting apparatus 800 is configured to unify units of the disease basic data, remove noise data of the disease basic data, and perform data mining and structural processing to obtain a disease knowledge map; unifying units of the basic data of the medicine, removing noise data of the basic data of the medicine, and performing data mining and structural processing to obtain a medicine knowledge graph.

Ambiguous data and duplicative data in the condition-based data; noise data of drug basic data includes: ambiguous data and duplicate data in drug base data.

In this embodiment of the present invention, the first processing unit 805 of the information detecting apparatus 800 is configured to search for supplementary data for acquiring the drug information in the second mapping relationship and search for supplementary data for acquiring the disease information in the first mapping relationship if the instruction is not matched with the disease information; wherein, presetting the mapping relation comprises: a first mapping relationship and a second mapping relationship.

In this embodiment of the present invention, the first processing unit 805 of the information detecting apparatus 800 is configured to, if the instruction manual is not matched with the disease information, search for the first supplementary data of the first medicine information and the second supplementary data of the second medicine information in the second mapping relationship, and search for the supplementary data of the disease information in the first mapping relationship; the medicine information comprises first medicine information and second medicine information; the preset mapping relationship comprises the following steps: a first mapping relationship and a second mapping relationship.

The first supplemental data includes at least one of: drug component information of the first drug information, organ information of the first drug information, adaptation symptom information of the first drug information, overspecification use cycle evaluation information of the first drug information, caution item information of the first drug information, and drug number information of the first drug information; the second supplementary data includes: adverse reaction information of the second drug information.

In this embodiment of the present invention, the second processing unit 806 of the information detecting apparatus 800 is configured to detect whether the first supplementary data matches the second supplementary data if the first supplementary data does not match the supplementary data of the disease information.

If the first supplementary data is matched with the second supplementary data, acquiring the use information of the medicine information; the first supplementary data and the second supplementary data are matched to represent that the adaptive symptom information of the first medicine information is matched with the adverse reaction information of the second medicine information. In an embodiment of the present invention, the detecting unit 807 of the information detecting apparatus 800 is configured to determine that the information detection is passed if the usage information matches the disease information and the patient information. If the usage information does not match the condition information and the patient information, determining that the information detection failed.

The usage information includes: the system comprises information of usage and dosage of medicine information, information of repeated medication of the medicine information, interaction information of the medicine information, incompatibility information of the medicine information, warning information of the medicine information, overdaily dose audit information of the medicine information and medical insurance regulation information of the medicine information.

In the embodiment of the invention, the patient information, the disease information and the medicine information are acquired in the prescription file through the file acquisition unit; the first processing unit is used for searching a path in a preset mapping relation corresponding to the disease information and the medicine information if the instruction manual of the medicine information is not matched with the disease information, and then acquiring supplementary data of the medicine information and supplementary data of the disease information; the second processing unit is used for acquiring the use information of the medicine information if the supplementary data of the disease information is matched with the supplementary data of the medicine information; whether the use information is matched with the disease information and the patient information is detected through the detection unit, an information detection result is determined, and since the supplementary data of the medicine information and the supplementary data of the disease information are in a preset database, and the supplementary data which are not contained in other medicine specifications of the obtained medicine information and the disease information are mined, the matching degree of the medicine information and the disease information in the prescription can be comprehensively checked by matching the supplementary data of the disease information and the supplementary data of the medicine information, and the error of prescription checking is reduced.

It should be noted that, in the embodiment of the present invention, if the information detection method is implemented in the form of a software functional module and sold or used as an independent product, the information detection method may also be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for enabling an information detecting apparatus (which may be a personal computer or the like) to perform all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, or an optical disk. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.

Correspondingly, the embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the above-mentioned method.

Correspondingly, the embodiment of the present invention provides an information detecting apparatus, which includes a memory 802 and a processor 801, wherein the memory 802 stores a computer program that can be executed on the processor 801, and the processor 801 executes the computer program to implement the steps in the above method.

Here, it should be noted that: the above description of the storage medium and device embodiments is similar to the description of the method embodiments above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and the apparatus according to the invention, reference is made to the description of the embodiments of the method according to the invention.

It should be noted that fig. 16 is a schematic diagram of a hardware entity of an information detection apparatus according to an embodiment of the disclosure, as shown in fig. 16, the hardware entity of the information detection apparatus 800 includes: a processor 801 and a memory 802, wherein;

the processor 801 generally controls the overall operation of the information detection apparatus 800.

The Memory 802 is configured to store instructions and applications executable by the processor 801, and may also buffer data (e.g., image data, audio data, voice communication data, and video communication data) to be processed or already processed by each module in the processor 801 and the information detection apparatus 800, and may be implemented by a FLASH Memory (FLASH) or a Random Access Memory (RAM).

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention. The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.

Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.

The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present invention, and all such changes or substitutions are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims

1. An information detection method, comprising:

acquiring instruction indication corresponding to the medicine information;

2. The information detection method according to claim 1, wherein after the instruction manual indication corresponding to the medicine information is acquired, before the information detection result is determined by detecting whether the usage information matches the disease information and the patient information, the method further comprises:

3. The information detection method according to claim 1, wherein the acquiring of the prescription document further includes, before acquiring the patient information, the medical condition information, and the drug information in the prescription document:

4. The information detection method of claim 3, wherein the disorder knowledge-map comprises: supplementary data corresponding to the disease information, wherein the medicine knowledge graph comprises: supplementary data of the drug information.

5. The information detection method according to claim 3, wherein the acquiring of the disease basic data and the drug basic data includes:

in the western medicine disease data, the disease basic data is acquired.

6. The information detection method according to claim 3, wherein the obtaining of the disease knowledge graph corresponding to the disease basic data and the drug knowledge graph corresponding to the drug basic data by performing normative transformation on the disease basic data and the drug basic data includes:

7. The information detection method according to claim 6, wherein the noise data of the disease basic data includes: ambiguous data and duplicative data in the condition base data; the noise data of the drug basic data comprises: ambiguous data and repeated data in the drug base data.

8. The information detection method according to claim 3, wherein the preset mapping relationship comprises: a first mapping relationship and the second mapping relationship;

9. The information detection method according to claim 3, wherein the medicine information includes first medicine information and second medicine information; the preset mapping relationship comprises: a first mapping relationship and the second mapping relationship;

10. The information detection method according to claim 9, wherein the acquiring the usage information of the medicine information if the supplementary data of the disease information matches the supplementary data of the medicine information includes:

11. The information detection method according to any one of claims 8 to 10, wherein the determining an information detection result by detecting whether the usage information matches the condition information and the patient information includes:

12. The information detection method according to claim 11, wherein the usage information includes: the system comprises information of usage and usage of the drug information, information of repeated drug use of the drug information, interaction information of the drug information, incompatibility information of the drug information, warning information of the drug information, super-multiple daily dose review information of the drug information and medical insurance regulation information of the drug information.

13. An information detecting apparatus, characterized by comprising:

14. An information detection apparatus, comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and the processor implements the steps of the method according to any one of claims 1 to 7 when executing the program.

15. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.