Tools and methods for verifying information, and storage media.

Abstract

Invention details;

Description

Information detection method and device, and storage medium

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application is based on the Chinese patent application with application number 202110125740.8 and application date of January 29, 2021, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby introduced into this application as a reference. Technical Field

[0003] The embodiments of the present invention relate to the fields of Internet medicine and smart medicine technology, and in particular to an information detection method and device, and a storage medium. Background Art

[0004] The current intelligent review platform of medical institutions connects with the hospital information system to assist pharmacists in reviewing outpatient prescriptions and inpatient medical orders in terms of the legality, standardization, and adaptability of prescriptions.

[0005] The primary audit method is machine-based review, which uses standard drug inserts to verify the compatibility between the drug and patient symptoms. When faced with complex prescription issues, existing audit methods are limited in capacity and can produce significant errors, as machine-based review relies solely on information directly extracted from the prescription. This review only examines the most basic symptom information in the drug insert and the patient's symptoms.

[0006] Summary of the Invention

[0007] The embodiments of the present application can effectively reduce errors in prescription review by providing an information detection method, device, and storage medium.

[0008] The technical solution of this application is achieved as follows:

[0009] The present invention provides an information detection method, including:

[0010] Obtaining a prescription document, and obtaining patient information, disease information, and drug information from the prescription document;

[0011] Obtain the instructions and indications corresponding to the drug information;

[0012] If the indication in the instructions does not match the disease information, a path search is performed in a preset mapping relationship between the disease information and the drug information, thereby obtaining the supplementary data of the drug information and the supplementary data of the disease information;

[0013] If the supplementary data of the symptom information matches the supplementary data of the drug information, obtaining usage information of the drug information; the usage information represents the medication limitation information of the drug information;

[0014] An information detection result is determined by detecting whether the usage information matches the symptom information and the patient information.

[0015] The present application also provides an information detection device, including:

[0016] a file acquisition unit configured to acquire a file, and acquire patient information, disease information, and drug information from the file;

[0017] An information extraction unit is configured to obtain the indications in the instructions corresponding to the drug information;

[0018] A first processing unit is configured to, if the indication in the instruction manual does not match the disease information, perform a path search in a preset mapping relationship corresponding to the disease information and the drug information, thereby obtaining supplementary data for the drug information and supplementary data for the disease information;

[0019] a second processing unit configured to obtain usage information of the drug information if the supplementary data of the symptom information matches the supplementary data of the drug information;

[0020] The detection unit is configured to determine an information detection result by detecting whether the usage information matches the disease information and the patient information.

[0021] An embodiment of the present application further provides an information detection device, comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the program, the steps in the above-described method are implemented.

[0022] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps in the above-described method when executed by a processor.

[0023] In an embodiment of the present application, patient information, disease information and drug information are obtained from a prescription document; if the indications in the instructions of the drug information do not match the disease information, a path search is performed in the preset mapping relationship between the corresponding disease information and the drug information, and the supplementary data of the drug information and the supplementary data of the disease information are obtained; if the supplementary data of the disease information matches the supplementary data of the drug information, the usage information of the drug information is obtained; by detecting whether the usage information matches the disease information and the patient information, the information detection result is determined. Since the supplementary data of the drug information and the supplementary data of the disease information are in a preset database, the supplementary data of the drug information and the supplementary data of the disease information that are not included in the other drug instructions of the drug information and the disease information are mined, and by matching the supplementary data of the disease information with the supplementary data of the drug information, the degree of matching between the drug information and the disease information in the prescription can be comprehensively reviewed, thereby reducing the error in prescription review. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings herein are incorporated into and constitute a part of the specification. These drawings illustrate embodiments consistent with the present application and, together with the specification, are used to illustrate the technical solutions of the present application.

[0025] FIG1 is a schematic diagram of an optional flow chart of an information detection method provided in an embodiment disclosed in this application;

[0026] FIG2 is a schematic diagram of an optional effect of the information detection method provided in the embodiment disclosed in the present application;

[0027] FIG3 is a schematic diagram showing an optional effect of the information detection method provided in the embodiment disclosed in the present application;

[0028] FIG4 is a schematic diagram showing an optional effect of the information detection method provided in the embodiment disclosed in the present application;

[0029] FIG5 is a schematic diagram showing an optional effect of the information detection method provided in the embodiment disclosed in the present application;

[0030] FIG6 is a schematic diagram showing an optional effect of the information detection method provided in the embodiment disclosed in the present application;

[0031] FIG7 is a schematic diagram of an optional flow chart of an information detection method provided in an embodiment disclosed in this application;

[0032] FIG8 is a schematic diagram showing an optional effect of the information detection method provided in the embodiment disclosed in the present application;

[0033] FIG9 is a schematic diagram of an optional flow chart of an information detection method provided in an embodiment disclosed in this application;

[0034] FIG10 is a schematic diagram of an optional flow chart of an information detection method provided in an embodiment disclosed in this application;

[0035] FIG11 is a schematic diagram showing an optional effect of the information detection method provided in the embodiment disclosed in the present application;

[0036] FIG12 is a schematic diagram of an optional flow chart of an information detection method provided in an embodiment disclosed in this application;

[0037] FIG13 is a schematic diagram showing an optional effect of the information detection method provided in the embodiment disclosed in the present application;

[0038] FIG14 is a schematic diagram of an optional flow chart of an information detection method provided in an embodiment disclosed in this application;

[0039] FIG15 is a schematic diagram of the structure of an information detection device provided in an embodiment disclosed in the present application;

[0040] FIG16 is a schematic diagram of a hardware entity of the information detection device provided in the embodiment disclosed in this application. DETAILED DESCRIPTION

[0041] FIG1 is a schematic flow chart of an optional information detection method provided in an embodiment disclosed in the present application, which will be described in conjunction with the steps shown in FIG1 .

[0042] S01, obtaining a prescription document, and obtaining patient information, disease information, and drug information from the prescription document;

[0043] In an embodiment of the present application, a doctor prescribes a medicine. The information detection device can scan or extract information from the prescription to obtain patient information, disease information, and drug information from the prescription document. The information detection device can also extract the patient information, disease information, and drug information from the prescription using an intelligent recognition method.

[0044] In an embodiment of the present application, a doctor can write a prescription on a prescription sheet in handwriting, thereby forming a paper prescription document. A doctor can also write a prescription on an electronic prescription sheet through an intelligent terminal, thereby forming an electronic prescription document. When the information detection device obtains a paper prescription document, the information detection device can obtain a picture of the paper prescription document through a camera, and the information detection device extracts the information on the paper prescription document through an intelligent recognition method, thereby obtaining the patient information, disease information, and drug information on the paper prescription document. When the information detection device obtains an electronic prescription document, the information detection device can directly extract the electronic prescription document through an intelligent recognition method, thereby obtaining the patient information, disease information, and drug information on the electronic prescription document.

[0045] Figure 2 shows a diagram of a doctor's prescription document. The name, gender, and age columns reflect patient information. The clinical diagnosis column reflects symptom information. The medication column reflects drug information. Drug information may include at least one drug name and usage and dosage information. The drug name can be a Chinese herbal medicine or a Western medicine.

[0046] S02, obtain the instructions and indications corresponding to the drug information.

[0047] In the embodiment of the present application, after the information detection device obtains the drug information in the prescription document, the information detection device can obtain the pre-stored indications corresponding to the drug information in the pre-set database. The indications in the instructions are the information about the disease that can be treated as reflected in the instructions of the drug information.

[0048] 3 , in an embodiment of the present application, the database may include data at four levels: data layer, information layer, knowledge layer, and wisdom layer.

[0049] In the embodiment of the present application, the data layer includes: Western medicine instructions: the knowledge source of standard drug instructions, such as standard drug indications, usage and dosage, etc. Western medicine disease database: the source of disease-related knowledge, such as disease descriptions, symptoms, nicknames, etc. Traditional Chinese medicine prescription database: the knowledge source of traditional Chinese medicine prescriptions, such as main indications, compatibility characteristics, dialectical points, etc. Traditional Chinese medicine prescription database: the knowledge source of traditional Chinese medicine, such as medicinal properties, nature and flavor, meridians, efficacy, clinical, etc. Evidence-based evaluation of off-label drugs: knowledge related to off-label drugs, such as off-label indications, off-label routes of administration, etc., historical prescriptions, national medical insurance catalog, clinical guidelines, evaluation of off-label use of Chinese patent medicines, etc.

[0050] In the embodiment of the present application, the information layer mainly performs data cleaning, data mining and data informatization on the data of the data layer. Among them, data cleaning is used to focus on drug / disease disambiguation, unit standardization, and drug / disease duplication removal. Data mining is used to mine similar prescriptions and instructions with the same syntax. Data informatization is used to form structured data that is easy to model and easy for machines to understand.

[0051] In the embodiments of the present application, the knowledge layer is used to construct multiple knowledge graphs. The quality of the knowledge graph construction determines the accuracy of the information detection device's understanding of the prescription. The knowledge graphs include, but are not limited to, the following knowledge graphs: Drug knowledge graph: includes entities such as drug / indication, relationships such as medication purpose / applicable population, and attribute information such as drug name / specification / manufacturer. Disease knowledge graph: includes entities such as disease, drug / disease / symptom, relationships such as treatment method / common drug / common symptom, and attribute information such as disease name / disease cause / treatment method.

[0052] Figure 4 shows a knowledge graph rendering provided by an embodiment of the present application. The relationships between drug information in the knowledge graph rendering include: Association: Two or more drugs, as specified in the instructions, simultaneously play a primary therapeutic role for the primary symptom or disease. Combination: Two or more drugs, as frequently prescribed in historical prescriptions, frequently play a primary therapeutic role for the primary symptom or disease. Auxiliary: A drug that assists the primary drug in enhancing the treatment of the primary symptom or disease. Adjuvant: A drug used to treat secondary complications, on the one hand; or to mitigate or reduce the toxicity or adverse reactions of the primary drug. The relationships between symptoms include: Concurrent: A symptom that develops during the course of a symptom, leading to the development of another symptom or symptom; another complication refers to a symptom or symptom that develops in conjunction with another related symptom during the course of diagnosis, treatment, and nursing. Similar: A symptom that is similar in symptoms or causes. Complication: A complication refers to the combined occurrence of several symptoms without a causal relationship. Drug information includes: indications in the instructions, the drug's ingredients, the drug's organ of action, the drug's indicated symptoms, and the drug's serial number. The information of the disease includes: treatment steps of the disease, lesion site of the disease, symptoms of the disease and disease number.

[0053] In this embodiment of the present application, the intelligence layer is used to supplement the symptom and drug information in prescription documents based on the multiple knowledge graphs constructed by the knowledge layer. The information detection device can use the intelligence layer to combine drug and symptom information with the rule engine in the knowledge and information layers to extract supplementary drug and symptom data. The rule engine includes rules for indications, usage and dosage, duplication of medications, interactions, and incompatibility.

[0054] S03: If the indication in the instructions does not match the disease information, a path search is performed between the corresponding disease information and the drug information in a preset mapping relationship to obtain supplementary data of the drug information and supplementary data of the disease information.

[0055] In the embodiment of the present application, after the information detection device obtains the indications in the drug instructions, it matches the symptoms indicated in the indications with the symptom information. If the symptoms indicated in the indications do not match the symptom information, the information detection device can extract supplementary data for the drug information and supplementary data for the symptom information from the knowledge layer and information layer based on the preset mapping relationship in the database and the drug information and symptom information.

[0056] In an embodiment of the present application, the supplementary data of the drug information includes at least one of the following: drug ingredient information of the drug information, organ of action information of the drug information, indication symptom information of the drug information, off-instruction use cycle evaluation information of the drug information, precautions information of the drug information and drug number information of the drug information.

[0057] In the embodiment of the present application, when the drug information indicates that there are multiple drugs in the prescription document, the supplementary data of the drug information also includes: adverse reaction information of the drug information.

[0058] In an embodiment of the present application, the supplementary data of the disease information includes at least one of the following: treatment step information of the disease information, lesion location 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.

[0059] S04: If the supplementary data of the symptom information matches the supplementary data of the drug information, then the usage information of the drug information is obtained.

[0060] In an embodiment of the present application, if the information detection device detects that the supplementary data of the symptom information matches the supplementary data of the drug information, the information detection device will obtain the usage information corresponding to the drug information in the prescription document. The usage information represents: the drug information's medication restriction information. The usage information includes: the drug information's usage and dosage information, the drug information's repeated use information, the drug information's interaction information and the drug information's incompatibility information, the drug information's warning information, the drug information's multi-day dosage review information, and the drug information's medical insurance regulations information.

[0061] In the embodiment of the present application, the matching of the supplementary data of the symptom information and the supplementary data of the drug information indicates that the supplementary data of the drug information is used to treat or act on the lesion site or symptom corresponding to the symptom information.

[0062] In conjunction with Figure 5 , in an embodiment of the present application, the information detection device detects the prescription document in Figure 5 and can obtain the drug information: Lidocaine Hydrochloride Injection. The disease information is: Apical Periarthritis. First, the information detection device obtains the instructions and indications for Lidocaine Hydrochloride Injection from the database. The instructions and indications for Lidocaine Hydrochloride Injection indicate that Lidocaine Hydrochloride Injection is not used to treat Apical Periarthritis. The information detection device then obtains information that the instructions and indications for Lidocaine Hydrochloride Injection do not match the disease information. The information detection device then obtains supplementary data for Apical Periarthritis from the preset mapping relationship in the database: Treatment step information for Apical Periarthritis, and supplementary data for Lidocaine Hydrochloride Injection: Indication symptom information for Lidocaine Hydrochloride Injection. The treatment step information for Apical Periarthritis indicates that local anesthesia is required for the treatment of Apical Periarthritis. The indication symptom information for Lidocaine Hydrochloride Injection indicates that Lidocaine Hydrochloride Injection is used for local anesthesia. The information detection device matches the treatment step information for periapical periarthritis with the indicated symptom information for lidocaine hydrochloride injection, obtaining information that matches the treatment step information for periapical periarthritis with the indicated symptom information for lidocaine hydrochloride injection. This also provides information that matches the supplementary drug information with the supplementary symptom information. Finally, the information detection device retrieves the corresponding usage information for lidocaine hydrochloride injection from the database.

[0063] In conjunction with Figure 6 , in an embodiment of the present application, the information detection device detects the prescription document in Figure 6 and obtains drug information: Hydroxybenzoate tablets; disease information: Diabetes. First, the information detection device retrieves the indications for Hydroxybenzoate tablets from the database. The indications for Hydroxybenzoate tablets indicate that Hydroxybenzoate tablets are not used to treat diabetes. The information detection device then obtains information that the indications for Hydroxybenzoate tablets do not match the disease information. The information detection device then retrieves supplementary data for diabetes: diabetes comorbidity information, and supplementary data for Hydroxybenzoate tablets: indication symptom information for Hydroxybenzoate tablets. The comorbidity information for diabetes indicates that complications of diabetes include retinal disorders. The indication symptom information for Hydroxybenzoate tablets indicates that Hydroxybenzoate tablets are used to treat retinal disorders. The information detection device then matches the comorbidity information for diabetes with the indication symptom information for Hydroxybenzoate tablets, obtaining information that the comorbidity information for diabetes matches the indication symptom information for Hydroxybenzoate tablets. That is, the information that the supplementary data of the symptom information matches the supplementary data of the drug information is obtained. Finally, the information detection device obtains the usage information corresponding to the Calcium Hydroxide Tablets in the database.

[0064] S05, determining the information detection result by detecting whether the usage information matches the symptom information and the patient information.

[0065] In the embodiment of the present application, the information detection device matches each piece of information in the usage information with the symptom information and the patient information one by one to determine the information detection result. If all of the usage information obtained by the information detection device matches the symptom information and the patient information, the information detection device determines that the information detection of the prescription document has passed. If any of the usage information obtained by the information detection device does not match the symptom information and the patient information, the information detection device determines that the information detection of the prescription document has failed.

[0066] With reference to Figure 5 , in this embodiment of the present application, the information detection device obtains the usage and dosage information for lidocaine hydrochloride injection as 10 ml. The information detection device also obtains the patient information in the age column as 12 years old. The information detection device matches the usage and dosage information for lidocaine hydrochloride injection (10 ml) with the patient information (12 years old). Since lidocaine hydrochloride injection must not exceed 5 ml when used on minors, the information detection device determines that the usage and dosage information for lidocaine hydrochloride injection (10 ml) and the patient information (12 years old) do not match, thus determining that the prescription document information detection has failed.

[0067] In the embodiment of the present invention, the information detection device may be a terminal, a server or a mobile terminal on the doctor's side having the above functions.

[0068] In an embodiment of the present application, patient information, disease information and drug information are obtained from a prescription document; if the indications in the instructions of the drug information do not match the disease information, a path search is performed in the preset mapping relationship between the corresponding disease information and the drug information, and the supplementary data of the drug information and the supplementary data of the disease information are obtained; if the supplementary data of the disease information matches the supplementary data of the drug information, the usage information of the drug information is obtained; by detecting whether the usage information matches the disease information and the patient information, the information detection result is determined. Since the supplementary data of the drug information and the supplementary data of the disease information are in a preset database, the supplementary data of the drug information and the supplementary data of the disease information that are not included in the other drug instructions of the drug information and the disease information are mined, and by matching the supplementary data of the disease information with the supplementary data of the drug information, the degree of matching between the drug information and the disease information in the prescription can be comprehensively reviewed, thereby reducing the error in prescription review.

[0069] In some embodiments, referring to FIG. 7 , FIG. 7 is an optional flow chart of the information detection method provided in an embodiment of the present application. S06 is also included between S02 - S05 shown in FIG. 1 , and will be described in conjunction with each step.

[0070] S06, if the indications in the instructions match the disease information, obtain usage information.

[0071] In the embodiment of the present application, after the information detection device obtains the indications in the instructions, it matches the symptoms indicated in the indications with the symptom information. If the symptoms indicated in the indications in the instructions match the symptom information, the information detection device will obtain the usage information corresponding to the drug information in the prescription document.

[0072] In some embodiments, referring to FIG8 , FIG8 is an optional flow chart of the information detection method provided in an embodiment of the present application. Before S01 shown in FIG1 , S07 - S09 are also included, which will be explained in combination with each step.

[0073] S07, obtain basic disease data and basic drug data.

[0074] In this embodiment of the present application, before performing prescription information detection, the information detection device must first establish a preset mapping relationship based on the data layer, information layer, knowledge layer, and intelligence layer in the database. First, the information detection device obtains basic symptom data for disease information and basic drug data for drug information from the data layer. The basic symptom data represents the relevant manifestations of the disease and descriptive information related to the lesion site; the basic drug data represents the symptoms of drug use and descriptive information related to the site of administration.

[0075] In the embodiment of the present application, the information detection device can obtain drug basic data from the data layer, including Western medicine instructions, traditional Chinese medicine prescription databases, traditional Chinese medicine prescription databases, evidence-based evaluations of off-label drugs, historical prescriptions, the National Medical Insurance Catalog, and off-label use evaluations of traditional Chinese medicines. The drug basic data includes: drug ingredients, drug organs of action, drug indications, drug serial number, adverse reaction information, etc.

[0076] In the embodiment of the present application, the information detection device can obtain basic data of the disease information from the Western medicine disease database and clinical guidelines in the data layer. The basic data of the disease includes: treatment steps of the disease, lesion location of the disease, symptoms of the disease, and disease number.

[0077] S08, performing normative conversion processing on the basic disease data and the basic drug data to obtain a disease knowledge graph corresponding to the basic disease data and a drug knowledge graph corresponding to the basic drug data.

[0078] In an embodiment of the present application, the information detection device unifies the corresponding units of the basic data of symptoms and the basic data of drugs, and converts them into structured data that can be obtained by a computer, thereby obtaining the symptom knowledge graph corresponding to the basic data of symptoms and the drug knowledge graph corresponding to the basic data of drugs.

[0079] Among them, the disease knowledge graph includes: supplementary data corresponding to the disease information, and the drug knowledge graph includes: supplementary data corresponding to the drug information.

[0080] S09, constructing a first mapping relationship between the symptom information and the corresponding symptom knowledge graph, and constructing a second mapping relationship between the drug information and the corresponding drug knowledge graph.

[0081] In this embodiment of the present application, the information detection device constructs a first mapping relationship between each symptom information and the corresponding symptom knowledge graph. That is, it constructs a first mapping relationship between each symptom information and the corresponding supplementary data. The information detection device constructs a second mapping relationship between each drug information and the corresponding drug knowledge graph. That is, it constructs a second mapping relationship between each drug information and the corresponding supplementary data.

[0082] In some embodiments, referring to FIG. 9 , FIG. 9 is an optional flow chart of the information detection method provided in an embodiment of the present application. S07 shown in FIG. 8 can also be implemented through S10 - S11 , which will be described in conjunction with each step.

[0083] S10 obtains basic drug data from Western medicine instructions and traditional Chinese medicine instructions.

[0084] In the embodiment of the present application, before performing information detection on a prescription, the information detection device first obtains basic symptom data of symptom information and basic drug data of drug information from the Western medicine instructions and the traditional Chinese medicine instructions in the data layer.

[0085] The instructions for Western medicines may include: evidence-based evaluation of off-label drugs, national medical insurance catalog and historical prescriptions. The instructions for Chinese medicines may include: Chinese medicine prescription database, Chinese medicinal material prescription database, and drug information obtained from off-label use evaluation of Chinese patent medicines.

[0086] S11 obtains basic disease data from Western medicine disease data.

[0087] In the embodiment of the present application, the information detection device obtains basic data of symptom information from Western medical disease data.

[0088] In some embodiments, referring to FIG. 10 , FIG. 10 is an optional flow chart of the information detection method provided in an embodiment of the present application. S08 shown in FIG. 8 can also be implemented through S12 - S13 , which will be described in conjunction with each step.

[0089] S12, unifying the units of the basic disease data, removing the noise data of the basic disease data, and performing data mining and structured processing to obtain a disease knowledge graph.

[0090] In this embodiment of the present application, the information detection device unifies the units in the basic symptom data. For example, it unifies the fever temperature in the basic symptom data. It then removes noise from the basic symptom data and performs data mining on the basic symptom data. For example, it mines complication information from the basic symptom data. The basic symptom data is then structured to produce computer-processable information, which is known as a symptom knowledge graph.

[0091] In the embodiment of the present application, the noise data of the basic disease data includes ambiguous data and repeated data in the basic disease data. The structural processing of the basic disease data can be to process the text information of the basic disease data through an algorithm to obtain corresponding character information, and store the corresponding character information in a computer database.

[0092] S13, unify the units of the basic drug data, remove the noise data of the basic drug data, and perform data mining and structured processing to obtain a drug knowledge graph.

[0093] In this embodiment of the present application, the information detection device unifies the units in the basic drug data. For example, the dosage in the basic drug data is unified into milliliters. Noise data is then removed from the basic drug data, and data mining is performed on the basic drug data. For example, adverse reaction information is mined from the basic drug data. The basic drug data is then structured to produce computer-processable information, which is known as a drug knowledge graph.

[0094] In the embodiment of the present application, the noise data of the basic drug data includes ambiguous data and duplicate data in the basic drug data. The structural processing of the basic drug data can be to obtain corresponding character information by algorithmically processing the text information of the basic disease data, and store the corresponding character information in a computer database.

[0095] In some embodiments, referring to FIG. 11 , FIG. 11 is an optional flow chart of an information detection method provided in an embodiment of the present application. S03 shown in FIG. 1 can also be implemented through S14 , which will be described in conjunction with each step.

[0096] S14: If the indication in the instructions does not match the symptom information, then search for the supplementary data of the drug information in the second mapping relationship, and at the same time search for the supplementary data of the symptom information in the first mapping relationship.

[0097] In this embodiment of the present application, after the information detection device obtains the indications in the drug instructions, it matches the symptoms indicated in the indications with the symptom information. If the symptoms indicated in the indications do not match the symptom information, the information detection device may search the first mapping relationship for supplementary data corresponding to the symptom information. Simultaneously, the information detection device may search the second mapping relationship for supplementary data corresponding to the drug information.

[0098] The supplementary data of drug information includes at least one of the following: drug ingredient information of drug information, organ of action information of drug information, indication symptom information of drug information, off-label use cycle evaluation information of drug information, precautions information of drug information and drug number information of drug information.

[0099] The supplementary data of the disease information includes at least one of the following: treatment step information of the disease information, lesion location 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.

[0100] In some embodiments, referring to FIG. 12 , FIG. 12 is an optional flow chart of the information detection method provided in an embodiment of the present application. S03-S04 shown in FIG. 1 can also be implemented through S15-S18, which will be described in conjunction with each step.

[0101] S15, if the indication in the instructions does not match the disease information, search in the second mapping relationship to obtain the first supplementary data of the first drug information and the second supplementary data of the second drug information, and at the same time search in the first mapping relationship to obtain the supplementary data of the disease information.

[0102] In an embodiment of the present application, the information detection device obtains two pieces of drug information from a prescription document, namely, first drug information and second drug information. After obtaining the instructions for the first and second drug information, the information detection device matches the symptoms treated in the instructions with the symptom information. If the instructions for the first and second drug information do not match, the information detection device may search the second mapping relationship to obtain the first supplementary data for the first drug information and the second supplementary data for the second drug information, and simultaneously search the first mapping relationship to obtain the supplementary data for the symptom information.

[0103] The first supplementary data includes at least one of the following: drug ingredient information of the first drug information, organ of action information of the first drug information, indication information of the first drug information, off-label use cycle evaluation information of the first drug information, precautions 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.

[0104] The supplementary data of the symptom information includes at least one of the following: treatment step information of the symptom information, lesion site information of the symptom information, symptom information of the symptom information, cause information of the symptom information, and symptom number information of the symptom information.

[0105] S16: If the first supplementary data does not match the supplementary data of the symptom information, then check whether the first supplementary data matches the second supplementary data.

[0106] In this embodiment of the present application, if the information detection device detects that the first supplementary data of the first drug information does not match the supplementary data of the symptom information, that is, the first supplementary data of the first drug information does not match the supplementary data of the symptom information, the information detection device begins to detect whether the first supplementary data and the second supplementary data match.

[0107] S17: If the first supplementary data matches the second supplementary data, the usage information of the drug information is obtained.

[0108] In the embodiment of the present application, if the indication symptom information in the first supplementary data of the first drug information matches the adverse reaction information in the second supplementary data of the second drug information, the information detection device obtains the usage information corresponding to the drug information from the database.

[0109] Among them, usage information includes: usage and dosage information of drug information, repeated use information of drug information, interaction information of drug information, incompatibility information of drug information, warning information of drug information, multi-day dosage review information of drug information and medical insurance regulations information of drug information.

[0110] In conjunction with Figure 13 , in an embodiment of the present application, the information detection device detects the prescription document in Figure 13 and obtains drug information: glucocorticoids and calcium supplements; and symptom information: acute urticaria. First, the information detection device retrieves the instructions and indications for the glucocorticoids and calcium supplements from the database. The instructions for the glucocorticoids state that glucocorticoids are used to treat acute urticaria, while the instructions for the calcium supplements state that calcium supplements are not used to treat acute urticaria. The information detection device then obtains information that the first supplementary data for the calcium supplements does not match the symptom information. The information detection device then retrieves the second supplementary data for the glucocorticoids: adverse reaction information for the glucocorticoids, and the first supplementary data for the calcium supplements: indication information for the calcium supplements. The adverse reaction information for the glucocorticoids states that glucocorticoids can easily cause osteoporosis in patients. The indication information for the calcium supplements states that calcium supplements are used to treat osteoporosis. The information detection device then matches the second supplementary data for the glucocorticoids with the first supplementary data for the calcium supplements, obtaining information that the second supplementary data for the glucocorticoids and the first supplementary data for the calcium supplements match. Finally, the information detection device will obtain the corresponding usage information of glucocorticoids and calcium preparations in the prescription document.

[0111] S18: If the usage information matches the symptom information and the patient information, it is determined that the information detection has passed.

[0112] In this embodiment of the present application, the information detection device matches the drug usage and dosage information, drug repeat use information, drug interaction information, drug incompatibility information, drug warning information, drug multi-day dosage review information, and drug medical insurance regulations information with the symptom information and patient information, thereby determining the information detection result. If all of the above usage information obtained by the information detection device matches the symptom information and patient information, the information detection device determines that the information detection of the prescription document has passed.

[0113] In some embodiments, referring to FIG. 14 , FIG. 14 is an optional flow chart of the information detection method provided in an embodiment of the present application. S18 shown in FIG. 12 can also be implemented through S19 , which will be described in conjunction with each step.

[0114] S19, if the usage information does not match the symptom information and the patient information, it is determined that the information detection has failed.

[0115] In an embodiment of the present application, the information detection device matches the usage and dosage information of the drug information, the repeated use information of the drug information, the interaction information of the drug information, the incompatibility information of the drug information, the warning information of the drug information, the review information of the drug information for excessive daily dosage, and the medical insurance provision information of the drug information with the symptom information and the patient information, thereby determining the information detection result. If any of the above-mentioned usage information obtained by the information detection device does not match the symptom information and the patient information, the information detection device determines that the information detection of the prescription document has failed.

[0116] In an embodiment of the present application, patient information, disease information and drug information are obtained from a prescription document; if the indications in the instructions of the drug information do not match the disease information, a path search is performed in the preset mapping relationship between the corresponding disease information and the drug information, and the supplementary data of the drug information and the supplementary data of the disease information are obtained; if the supplementary data of the disease information matches the supplementary data of the drug information, the usage information of the drug information is obtained; by detecting whether the usage information matches the disease information and the patient information, the information detection result is determined. Since the supplementary data of the drug information and the supplementary data of the disease information are in a preset database, the supplementary data of the drug information and the supplementary data of the disease information that are not included in the other drug instructions of the drug information and the disease information are mined, and by matching the supplementary data of the disease information with the supplementary data of the drug information, the degree of matching between the drug information and the disease information in the prescription can be comprehensively reviewed, thereby reducing the error in prescription review.

[0117] In some embodiments, referring to FIG15 , FIG15 is a schematic structural diagram of an information detection device provided in an embodiment of the present application. The embodiment of the present application also provides an information detection device 800 , including: 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 .

[0118] The file acquisition unit 803 is configured to acquire a file and obtain patient information, disease information, and drug information from the file;

[0119] The information extraction unit 804 is configured to obtain the indications in the instructions corresponding to the drug information;

[0120] The first processing unit 805 is configured to, if the indication in the instructions does not match the disease information, perform a path search in a preset mapping relationship between the disease information and the drug information, thereby obtaining supplementary data for the drug information and supplementary data for the disease information;

[0121] The second processing unit 806 is configured to obtain usage information of the drug information if the supplementary data of the symptom information matches the supplementary data of the drug information;

[0122] The detection unit 807 is configured to determine an information detection result by detecting whether the usage information matches the symptom information and the patient information.

[0123] In the embodiment of the present application, the first processing unit 805 of the information detection device 800 is configured to obtain usage information if the indication in the instruction manual matches the disease information.

[0124] In an embodiment of the present application, the first processing unit 805 of the information detection device 800 is configured to obtain basic disease data and basic drug data; perform normative conversion processing on the basic disease data and the basic drug data to obtain a disease knowledge graph corresponding to the basic disease data and a drug knowledge graph corresponding to the basic drug data; construct a first mapping relationship between the disease information and the corresponding disease knowledge graph, and construct a second mapping relationship between the drug information and the corresponding drug knowledge graph.

[0125] The disease knowledge graph includes: supplementary data corresponding to the disease information, and the drug knowledge graph includes: supplementary data corresponding to the drug information.

[0126] In the embodiment of the present application, the first processing unit 805 of the information detection device 800 is configured to obtain basic drug data from Western medicine instructions and traditional Chinese medicine instructions; and to obtain basic symptom data from Western medicine disease data.

[0127] In an embodiment of the present application, the first processing unit 805 of the information detection device 800 is configured to unify the units of the basic data of symptoms, remove the noise data of the basic data of symptoms, and perform data mining and structured processing to obtain a knowledge graph of symptoms; unify the units of the basic data of drugs, remove the noise data of the basic data of drugs, and perform data mining and structured processing to obtain a knowledge graph of drugs.

[0128] The ambiguous data and duplicate data in the basic disease data; the noise data of the basic drug data include: the ambiguous data and duplicate data in the basic drug data.

[0129] In an embodiment of the present application, the first processing unit 805 of the information detection device 800 is configured to search for supplementary data for drug information in the second mapping relationship if the indication in the instructions does not match the disease information, and at the same time search for supplementary data for disease information in the first mapping relationship; wherein the preset mapping relationship includes: a first mapping relationship and a second mapping relationship.

[0130] The supplementary data of drug information includes at least one of the following: drug ingredient information of drug information, organ of action information of drug information, indication symptom information of drug information, off-label use cycle evaluation information of drug information, precautions information of drug information and drug number information of drug information.

[0131] The supplementary data of the disease information includes at least one of the following: treatment step information of the disease information, lesion location 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.

[0132] In an embodiment of the present application, the first processing unit 805 of the information detection device 800 is configured to search for the first supplementary data of the first drug information and the second supplementary data of the second drug information in the second mapping relationship if the indication in the instructions does not match the disease information, and at the same time search for the supplementary data of the disease information in the first mapping relationship; wherein the drug information includes the first drug information and the second drug information; the preset mapping relationship includes: the first mapping relationship and the second mapping relationship.

[0133] The first supplementary data includes at least one of the following: drug ingredient information of the first drug information, organ of action information of the first drug information, indication symptom information of the first drug information, off-label use cycle evaluation information of the first drug information, precautions 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.

[0134] The supplementary data of the symptom information includes at least one of the following: treatment step information of the symptom information, lesion site information of the symptom information, symptom information of the symptom information, cause information of the symptom information, and symptom number information of the symptom information.

[0135] In the embodiment of the present application, the second processing unit 806 of the information detection device 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 symptom information.

[0136] If the first supplementary data matches the second supplementary data, the drug usage information is obtained; the matching of the first supplementary data and the second supplementary data indicates that the indication information of the first drug information matches the adverse reaction information of the second drug information. In the embodiment of the present application, the detection unit 807 of the information detection device 800 is configured to determine that the information detection has passed if the usage information matches the symptom information and the patient information. If the usage information does not match the symptom information and the patient information, the information detection is determined to have failed.

[0137] Usage information includes: usage and dosage information of drug information, repeated use information of drug information, interaction information of drug information, incompatibility information of drug information, warning information of drug information, multi-day dosage review information of drug information and medical insurance regulation information of drug information.

[0138] In an embodiment of the present application, patient information, symptom information and drug information are obtained from a prescription document through a file acquisition unit; a first processing unit is configured to perform a path search in a preset mapping relationship for the corresponding symptom information and drug information if the indications in the instructions of the drug information do not match the symptom information; a second processing unit is configured to obtain usage information of the drug information if the supplementary data of the symptom information matches the supplementary data of the drug information; a detection unit detects whether the usage information matches the symptom information and the patient information, and determines an information detection result. Since the supplementary data of the drug information and the supplementary data of the symptom information are in a preset database, by mining the supplementary data of the drug information and symptom information that are not included in other drug instructions, the matching degree of the drug information and the symptom information in the prescription can be comprehensively reviewed by matching the supplementary data of the symptom information with the supplementary data of the drug information, thereby reducing errors in prescription review.

[0139] It should be noted that, in the embodiment of the present application, if the above-mentioned information detection method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable an information detection device (which can be a personal computer, etc.) to execute all or part of the methods of each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM), a magnetic disk or an optical disk. In this way, the embodiment of the present application is not limited to any specific combination of hardware and software.

[0140] Correspondingly, an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps in the above method are implemented.

[0141] Correspondingly, an embodiment of the present application provides an information detection device, including a memory 802 and a processor 801, wherein the memory 802 stores a computer program that can be run on the processor 801, and the processor 801 implements the steps in the above method when executing the program.

[0142] It should be noted that the description of the above storage medium and device embodiments is similar to the description of the above method embodiments and has similar beneficial effects as the method embodiments. For technical details not disclosed in the storage medium and device embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

[0143] It should be noted that FIG16 is a schematic diagram of a hardware entity of an information detection device provided in an embodiment disclosed in this application. As shown in FIG16 , the hardware entity of the information detection device 800 includes: a processor 801 and a memory 802, wherein;

[0144] The processor 801 generally controls the overall operation of the information detection apparatus 800 .

[0145] The memory 802 is configured to store instructions and applications executable by the processor 801, and can also cache data to be processed or processed by the processor 801 and the various modules in the information detection device 800 (for example, image data, audio data, voice communication data and video communication data), which can be implemented through flash memory (FLASH) or random access memory (Random Access Memory, RAM).

[0146] The above is merely an embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims. Industrial Applicability

[0147] The present application provides an information detection method, device, and storage medium; by obtaining patient information, disease information, and drug information from a prescription document; if the indications in the instructions of the drug information do not match the disease information, a path search is performed in a preset mapping relationship between the corresponding disease information and the drug information, thereby obtaining the supplementary data of the drug information and the supplementary data of the disease information; if the supplementary data of the disease information matches the supplementary data of the drug information, the usage information of the drug information is obtained; by detecting whether the usage information matches the disease information and the patient information, the information detection result is determined. Since the supplementary data of the drug information and the supplementary data of the disease information are in a preset database, by mining the supplementary data of the drug information and the disease information that are not included in other drug instructions, the matching degree of the drug information and the disease information in the prescription can be comprehensively reviewed by matching the supplementary data of the disease information with the supplementary data of the drug information, thereby reducing the error in prescription review.

Claims

DEPCT661. Methods for information verification, including: obtaining prescription documents and patient information, disease information, and drug information in prescription documents; obtaining indications in the package insert that correspond to the drug information; performing route searches in predefined relationship mappings based on disease and drug information, when the indications in the package insert do not match the disease information, in order to obtain supplementary information in the drug information and supplementary information in the disease information; obtaining use information in the drug information, when supplementary information in the disease information matches supplementary information in the drug information, where the use information shows limitations on the use of the drug information;and determining the outcome of information verification by checking whether the information of use matches the information of the disease and the information of the patient; 2. The method under claim 1 in which, after obtaining indications in the drug package insert that correspond to the drug information, and before determining the outcome of information verification by checking whether the information of use matches the information of the disease and the information of the patient, this method includes the following additionally: obtaining information of use when the indications in the drug package insert match the information of the disease; 3. The method under claim 1 in which, before obtaining the prescription document, and obtaining the information of the patient, the information of the disease and the information of the drug in the prescription document, this method includes the following additionally: obtaining basic disease information and basic drug information; basic disease information showing relevant manifestations that can be applied to the disease and relevant descriptive information of the location of the lesion, and basic drug information showing information of the symptoms of drug use and relevant descriptive information of the location of drug use;The process of norm transformation on basic disease data and basic drug data to obtain disease knowledge maps consistent with basic disease data and drug knowledge maps consistent with basic drug data; and the establishment of a primary mapping relationship between disease information and the consistent disease knowledge map, and the establishment of a secondary mapping relationship between drug information and the consistent drug knowledge map.

4. The method according to claim 3 where the disease knowledge map incorporates supplementary information consistent with disease information, and the drug knowledge map incorporates supplementary information in drug information.

5. The method according to claim 3 where the acquisition of basic disease data and basic drug data includes: obtaining basic drug data from Western medical prescription documents and traditional Chinese medicine prescription documents;and the acquisition of basic disease information from Western medical disease information.

6. The method under claim 3 in which the norm transformation process on basic disease information and basic drug information to obtain disease knowledge maps consistent with the basic disease information and drug knowledge maps consistent with the basic drug information includes: unit integration of basic disease information, noise removal of basic disease information, and data mining and structured processing to obtain disease knowledge maps; and unit integration of basic drug information, noise removal of basic drug information, and data mining and structured processing to obtain drug knowledge maps.

7. The method under claim 6 in which the noise of basic disease information includes: ambiguous and duplicate information in the basic disease information, and the noise of basic drug information includes: ambiguous and duplicate information in the basic drug information.

8. The method under claim 3 in which predefined mapping relationships include: primary mapping relationship and secondary mapping relationship;The process of traversing predefined mapping relationships based on disease information and drug information, when the indication in the drug package does not match the disease information, in order to obtain supplemental information in the drug information and supplemental information in the disease information, includes: searching for and obtaining supplemental information in the drug information from the second mapping relationship, when the indication in the drug package does not match the disease information, and simultaneously searching for and obtaining supplemental information in the disease information from the first mapping relationship; where the supplemental information in the drug information includes at least one of the following pieces of information: ingredient information in the drug information, organ effects information in the drug information, adaptation information in the drug information, off-label cycle assessment information in the drug information, precaution information in the drug information, and drug serial number information in the drug information;And supplemental information in the disease information includes at least one of the following pieces of information: treatment procedure information in the disease information, area of ​​focus information in the disease information, symptom information in the disease information, disease sequence number information in the disease information, complication information in the disease information, similar disease information in the disease information, and comorbidity information in the disease information.

9. The method under claim 3 where the drug information includes the first drug information and the second drug information, where the predefined mapping relationship includes the first mapping relationship and the second mapping relationship;And performing pathfinding in predefined mapping relationships based on disease information and drug information, when the indication in the drug package does not match the disease information, in order to obtain supplementary information in the drug information and supplementary information in the disease information, includes: searching for and obtaining the first supplement in the first drug information and the second supplement in the second drug information from the second mapping relationship, when the indication in the drug package does not match the disease information, and at the same time searching for and obtaining supplementary information in the disease information from the first mapping relationship;Where the first supplementary information includes at least one of the following pieces of information: drug ingredient information in the first drug information, organ effects information in the first drug information, adaptation symptoms information in the first drug information, assessment of the cycle of off-label use information in the first drug information, precautions information in the first drug information, and drug serial number information in the first drug information, the second supplementary information includes: information on adverse reactions in the second drug information;The supplemental information in the disease information includes at least one of the following pieces of information: treatment procedure information in the disease information, area of ​​focus information in the disease information, symptom information in the disease information, causative information in the disease information, and disease serial number information in the disease information.

10. The method under claim 9 in which the use information in the drug information is obtained, when the supplemental information in the disease information matches the supplemental information in the drug information, includes: checking whether the first supplemental information matches the second supplemental information when the first supplemental information does not match the supplemental information in the disease information;The acquisition of use information in drug information, when the first supplementary information is matched with the second supplementary information, the matching of the first and second supplementary information indicates that the adaptive information in drug information one matches the adverse reaction information in drug information two.

11. The method under claim 10 in which the determination of the result of information verification by checking whether the use information matches the disease information and patient information includes: determining that this information verification passes, when the use information matches the disease information and patient information;Determining whether this information verification fails, when the use information does not match the disease information and patient information, 12. The method under claim 11 where the use information includes: drug use and dosage information in the drug information, drug repeat use information in the drug information, interaction information in the drug information, contraindication information in the drug information, warning information in the drug information, information on excessive daily dose review in the drug information, and medical insurance regulation information in the drug information; 13. The instrument for verifying the information, which includes: a unit to obtain documents, structured to obtain documents, and to obtain patient information, disease information, and drug information in documents; an information extraction unit, structured to obtain indications in the drug package insert that match the drug information;The first processing unit is configured to perform routing in predefined mapping relationships based on disease information and drug information, when the indication in the drug information does not match the disease information, in order to obtain supplementary drug information and supplementary disease information; the second processing unit is configured to obtain usage information in the drug information when the supplementary disease information matches the supplementary drug information;And the verification unit, is structured to determine the results of information verification by checking whether the information used matches disease information and patient information.

14. The instrument for information verification, which consists of memory and a processor, where the memory stores executable computer programs on the processor, and the processor uses the operation in one of the methods of claims 1 through 12 when executing the program.

15. The computer-readable storage medium on which the computer programs are stored shall use the operation in one of the methods of claims 1 through 12, when executed by the processor;

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