CN112382413A - Method for detecting adverse reaction of combined medication - Google Patents
Method for detecting adverse reaction of combined medication Download PDFInfo
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- CN112382413A CN112382413A CN202011428304.XA CN202011428304A CN112382413A CN 112382413 A CN112382413 A CN 112382413A CN 202011428304 A CN202011428304 A CN 202011428304A CN 112382413 A CN112382413 A CN 112382413A
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- 206010067484 Adverse reaction Diseases 0.000 title claims abstract description 53
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000003745 diagnosis Methods 0.000 claims abstract description 51
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- 208000030453 Drug-Related Side Effects and Adverse reaction Diseases 0.000 claims abstract description 13
- 206010061623 Adverse drug reaction Diseases 0.000 claims abstract description 11
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Abstract
The invention discloses a method for detecting adverse reaction of combined medication, and relates to the technical field of statistical analysis of medicine safety data. The method comprises the following steps: acquiring diagnosis and treatment information of a patient as an original database, and acquiring a historical adverse drug reaction event report table as a comparison database; reclassifying and arranging the diagnosis and treatment information of the patients according to specific categories to obtain classified diagnosis and treatment information; screening similar adverse reaction diagnosis and treatment information from the classified diagnosis and treatment information; and extracting intersection and residual data sets of the similar adverse reaction case information and the historical adverse reaction event report table from the similar adverse reaction case information. The invention provides a method for analyzing whether adverse reaction caused by drug combined use exists or not based on actual diagnosis and treatment information data of the existing medical institution.
Description
Technical Field
The invention relates to the technical field of medicine safety data statistical analysis, in particular to a method for detecting adverse reaction of combined medication.
Background
Adverse Drug Reactions (ADRs) refer to Adverse Reactions of a qualified Drug that occur at normal dosages in normal usage, regardless of the intended purpose of the Drug.
Adverse effects of combined administration refer to adverse reactions of mutual antagonism that occur when multiple different classes of drugs are used simultaneously.
The existing medicines are clinically tested before being marketed, but the types of medicines for new medicines are continuously increased, the situations of combined medication are also continuously increased, and the adverse reaction caused by combined medication is increased. The existing adverse reaction of combined medication is generally an active reporting mode of medical institutions and drug manufacturing enterprises, and the active reporting has the situations of missing report and wrong report.
The publication number is proposed by people in China aiming at the phenomenon: CN 111599481A, a patent named as a method and a device for monitoring adverse reaction of a medicine and a readable medium, can judge the adverse reaction phenomenon of the medicine in an online or offline mode. This method focuses on extraction of disease data, and analysis of the data is not described in detail, and efficient analysis cannot be achieved when the amount of data is large.
Therefore, in order to solve the above technical problem, a new technical solution needs to be proposed to solve the problem. In particular to a method for detecting adverse reaction of combined medication.
Disclosure of Invention
The invention provides a method for detecting adverse reaction of combined medication, which aims to solve the technical problem that a method for data mining and data statistical analysis of adverse reaction of combined medication is lacked in the market.
The following technical scheme is provided for achieving the purpose: a method for detecting adverse reaction of combined medication comprises the following steps:
acquiring diagnosis and treatment information of a patient as an original database, and acquiring a historical adverse drug reaction event report table as a comparison database;
reclassifying and arranging the diagnosis and treatment information of the patients according to specific categories to obtain classified diagnosis and treatment information;
screening similar adverse reaction diagnosis and treatment information from the classified diagnosis and treatment information;
and extracting intersection and residual data sets in the similar adverse reaction case information and the historical adverse reaction event report table.
Preferably, the acquiring of medical information of the patient includes acquiring of medical information from a medical institution, including personal information, condition information and medication information of the patient.
Preferably, the medication information includes first medication information, second medication time, and disease condition information before second medication.
Preferably, the patient personal information comprises gender, age or gender, age, allergy history.
Preferably, the medical information of the patients is reclassified and arranged according to specific categories to obtain classified medical information, and the classified medical information is obtained by classifying and arranging the medical information of the patients according to the first medication type, sex, age stage and the mode of existence of allergy history.
Preferably, the medical information in the classified medical information class including the allergy history and the medical information in the age stages at both ends is marked.
Preferably, screening similar adverse reaction case information from the classified diagnosis and treatment information comprises screening diagnosis and treatment information with re-medication information, re-medication time and before re-medication from the unmarked arranged classified diagnosis and treatment information, and screening abnormal illness state information from the re-medication information, or screening diagnosis and treatment information with abnormal illness state information after first medication information.
Preferably, the abnormal condition information includes one or more of a survey abnormal condition, a photographical abnormal condition, or a laboratory abnormal condition.
The invention has the beneficial effects that: the invention provides a method for collecting diagnosis and treatment information of medical institutions and then reclassifying and sorting the diagnosis and treatment information, excluding diagnosis and treatment information which has no abnormal reaction after first administration, and marking the diagnosis and treatment information with allergy history, over-aged diagnosis and treatment information in the sorting process. And after screening and marking the data after reclassification and arrangement, taking intersection of the remaining screened data and the reported adverse drug reaction event report table, and then researching and analyzing whether the remaining data set is the adverse drug reaction or not and recording.
The invention collects a large amount of diagnosis and treatment information from a medical institution, reorders the information according to the types of medicines, the sex of patients, the age stage of the patients and the presence or absence of allergy history, and then carries out processing such as screening, marking, artificial research analysis and the like, so that the types of medicines for combined use are associated with the reaction condition of the patients after the medicines are used, and the artificial judgment analysis is carried out after the influence caused by individual factors is eliminated, thereby ensuring the authenticity of data and reducing the amount of artificial labor.
Drawings
FIG. 1 is a schematic view of the flow structure of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in figure 1, a method for detecting adverse reaction of combined medication comprises the following steps:
and 50, extracting intersection and residual data sets of the similar adverse reaction case information and the historical adverse reaction event report table from the similar adverse reaction case information.
The method for detecting the poor drug combination can be implemented based on a computer, and the computer can be directly connected with an electronic medical record database of a designated medical institution or can be imported into the electronic medical record database of one or more medical institutions according to needs. The computer also has the ability to process and analyze the data as needed.
In step 10, the medical information of the patient includes medical information acquired from a medical institution, the medical information includes personal information of the patient, disease condition information, medication information, and the like, the personal information includes the name, sex, and age of the patient, and some patients may record allergy history information. The disease information includes the description of the disease condition before each administration, the description of the physical condition, etc. The medication information includes first medication information, second medication time, and disease condition information before second medication. The first-time administration information here refers to information such as the amount of a drug to be administered using a combination, and includes information on administration by injection, oral administration, or other routes, and the first time is not absolutely the first time with respect to the second time later. The second administration refers to the type and dosage of the next administration immediately after the combined administration. The illness state information before the re-medication records that other illness state (including illness state caused by adverse reaction of the combined medication or illness state not caused by adverse reaction of the combined medication) occurs in the body after the combined medication, and the illness state information before the re-medication includes the reason of the re-medication and the type of the re-medication. The condition of the first medication and the second medication can objectively reflect the body reaction condition of a patient after the combined medication is used, and the phenomenon that the adverse reaction is eliminated by the second medication after the first medication is avoided, but the adverse reaction event of the combined medication is forgotten due to overlong time.
The historical adverse drug reaction event report table is an adverse drug reaction event report table which is actively reported and received by the national adverse drug reaction detection center. The report table is used as a comparison database, when the screened medicine type and the patient body change condition after medicine application have intersection with the historical medicine adverse reaction event report table, the intersection part and the rest part in the screened diagnosis and treatment information are processed separately, and the rest part is used as a key point to judge whether the medicine type and the patient body change condition in the diagnosis and treatment information are caused by medicine adverse reaction or other factors through the manual research of a doctor. Adverse reactions may be manifested by one or more of skin and its collateral damage, gastrointestinal damage, systemic damage, nervous system damage, cardiovascular system damage, immune dysfunction and infection, respiratory system damage, and the like.
In step 20, the medical information of the patients is reclassified and arranged according to specific categories to obtain classified medical information, including classified arrangement according to the type of the first medication, sex, age stage and the presence or absence of allergy history to obtain classified medical information. The diagnosis and treatment information with the same first-time administration type, the same gender and age stage and no allergy history is classified into one category. The age stage is divided into four stages of 10 years or less, 10 to 15 years, 15 to 65 years and 65 years or more according to the aggregated age distribution in the historical adverse drug reaction event report table. The conditions exhibited by different individuals, including individuals of different ages and/or different sexes, are not the same due to the same combination. Therefore, the diagnosis and treatment information of the patients is classified and arranged according to the types of the medicines, the age stages, the sexes and the history of allergy, so that the influence of individual differences of the sexes and the ages on the statistical result of the adverse reaction of the combined medicines of the same kind of medicines is reduced. The differentiation of patients with an allergy history can avoid the condition that the skin abnormal condition caused by the contact of the patients with the allergen after the drug combination is mistaken to belong to the adverse reaction of the drug combination.
In step 30, the medical information including the allergy history and the medical information in the both-end age stage (i.e., the patients under 10 years old and over 65 years old) in the classified medical information is labeled. The condition that patients with allergy history may be exposed to the allergen after the combined drug application needs to be judged by doctors. Patients at the age stages at both ends are not representative due to large individual difference, so the patients are manually judged and treated by doctors after being marked.
In step 40, screening out similar adverse reaction diagnosis and treatment information from the classified diagnosis and treatment information, including,
and screening out the information of the disease condition before re-medication, the time of re-medication and the information of the abnormal disease condition from the information of re-medication or screening out the information of the abnormal disease condition from the information of first medication from the unmarked classified diagnosis and treatment information. The abnormal condition information includes one or more of an examination abnormal condition, an imaging abnormal condition, or a laboratory abnormal condition. The information on abnormal conditions can be found in the manner disclosed in patent publication No. CN 111599481A. The method specifically comprises the following steps: identifying abnormal iconography expression from the iconography inspection data as an inspection abnormal signal; an abnormal data representation is identified from the laboratory test data as a test check abnormal signal. A set of abnormal imaging performance and a set of abnormal data performance (for example, alanine Aminotransferase (ALT) abnormality for N consecutive days), and then, identifying the abnormal imaging performance from the imaging examination data to form an examination abnormal signal (for example, information including the type, the finding time and the like of the abnormal imaging performance); abnormal data representation is identified from laboratory test data, and a test abnormal signal is formed (for example, information including the type, discovery time and the like of the abnormal data representation). The re-medication information comprises the type of re-medication, the time of re-medication and the state of illness before re-medication, and the diagnosis and treatment information is excluded when the time of re-medication exceeds the action time of medication. The action time of the drugs of the combination can be used as a screening condition through a preset time threshold value.
In step 50, an intersection is taken from the similar adverse reaction diagnosis and treatment information through data in the historical adverse reaction event report table, and the data in the similar adverse reaction diagnosis and treatment information is divided into an intersection part and a residual data part. And the intersection part exists in the historical adverse drug reaction event report table, so that the rest data are pushed to the doctor without being pushed to the doctor, and the doctor judges whether the abnormal condition of the patient after the drug administration is caused by the drug combination.
The method disclosed by the invention takes the existing patient diagnosis and treatment information of the medical institution as the original data, and can distinguish whether the medical institution has the example of the adverse reaction of the combined medication when the medical institution does not report, thereby preventing the possibility that the combined medication still exists in other subsequent hospitals under the condition that the medical institution fails to report. After reclassification, marking, screening and duplicate removal are carried out on the collected data, the remaining data set is artificially judged by a doctor whether the data set belongs to the adverse reaction of combined medication.
As will be appreciated by one skilled in the art, the above-described embodiments may be provided as a method, apparatus, or computer program product. These embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. All or part of the steps in the methods according to the embodiments may be implemented by a program instructing associated hardware, where the program may be stored in a storage medium readable by a computer device and used to execute all or part of the steps in the methods according to the embodiments. The computer devices, including but not limited to: personal computers, servers, general-purpose computers, special-purpose computers, network devices, embedded devices, programmable devices, intelligent mobile terminals, intelligent home devices, wearable intelligent devices, vehicle-mounted intelligent devices, and the like; the storage medium includes but is not limited to: RAM, ROM, magnetic disk, magnetic tape, optical disk, flash memory, U disk, removable hard disk, memory card, memory stick, network server storage, network cloud storage, etc. The computer device can also be replaced by other intelligent devices, such as a smart phone smart tablet and the like.
The above embodiments are only for illustrating the invention and are not to be construed as limiting the invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the invention, therefore, all equivalent technical solutions also belong to the scope of the invention, and the scope of the invention is defined by the claims.
Claims (8)
1. A method for detecting adverse reaction of combined medication is characterized by comprising the following steps:
acquiring diagnosis and treatment information of a patient as an original database, and acquiring a historical adverse drug reaction event report table as a comparison database;
reclassifying and arranging the diagnosis and treatment information of the patients according to specific categories to obtain classified diagnosis and treatment information;
screening similar adverse reaction diagnosis and treatment information from the classified diagnosis and treatment information;
and extracting intersection and residual data sets in the similar adverse reaction case information and the historical adverse reaction event report table.
2. The method for detecting adverse reaction of combination drug according to claim 1, wherein the method comprises the following steps: the medical information of the patient comprises medical information acquired from a medical institution, and the medical information comprises personal information, illness state information and medication information of the patient.
3. The method for detecting adverse reaction of combination drug according to claim 2, wherein: the medication information includes first medication information, second medication time, and illness state information before second medication.
4. The method for detecting adverse reaction of combination drug according to claim 3, wherein the method comprises the following steps: the personal information of the patient comprises sex, age or sex, age and allergy history.
5. The method for detecting adverse reaction of combination drug according to claim 4, wherein: reclassifying and arranging the diagnosis and treatment information of the patients according to specific categories to obtain classified diagnosis and treatment information, including,
and classifying and arranging the diagnosis and treatment information of the patients according to the type, sex, age stage and the mode of existence or non-existence of allergy history of the first medication to obtain classified diagnosis and treatment information.
6. The method for detecting adverse drug combinations according to claim 5, wherein the method comprises the following steps: and marking the diagnosis and treatment information which contains the allergy history and is positioned at the age stages at two ends in the classified diagnosis and treatment information class.
7. The method for detecting adverse reaction of combination drug according to claim 6, wherein: screening out similar adverse reaction case information from the classified diagnosis and treatment information, including,
screening out the medical information with re-medication information, re-medication time and before re-medication from the unmarked classified medical information, and screening out abnormal illness state information from the re-medication information;
or screening out diagnosis and treatment information with abnormal illness state information after first-time medication information.
8. The method of claim 7 for detecting adverse drug combinations, wherein the method comprises the steps of: the abnormal condition information includes one or more of an examination abnormal condition, an imaging abnormal condition, or a laboratory abnormal condition.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117131235A (en) * | 2023-10-24 | 2023-11-28 | 上海柯林布瑞信息技术有限公司 | Medical data retrieval method and device based on combined medication condition |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030046110A1 (en) * | 2001-08-29 | 2003-03-06 | Victor Gogolak | Method and system for creating, storing and using patient-specific and population-based genomic drug safety data |
| CN110767319A (en) * | 2019-09-30 | 2020-02-07 | 南京邮电大学 | Method for detecting adverse reaction signals of combined medication |
| CN111223571A (en) * | 2020-01-06 | 2020-06-02 | 中国人民解放军总医院 | Adverse drug reaction monitoring method and device, computer equipment and storage medium |
| CN111383761A (en) * | 2018-12-28 | 2020-07-07 | 医渡云（北京）技术有限公司 | Medical data analysis method and device, electronic equipment and computer readable medium |
| CN111383725A (en) * | 2018-12-28 | 2020-07-07 | 国家食品药品监督管理总局药品评价中心 | Adverse reaction data identification method and device, electronic equipment and readable medium |
| CN111599481A (en) * | 2020-04-22 | 2020-08-28 | 国家药品监督管理局药品评价中心(国家药品不良反应监测中心) | Method and device for monitoring adverse drug reactions and readable medium |
| CN111883219A (en) * | 2020-06-15 | 2020-11-03 | 吴嘉瑞 | Drug adverse reaction data mining method based on decision tree |
-
2020
- 2020-12-09 CN CN202011428304.XA patent/CN112382413A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030046110A1 (en) * | 2001-08-29 | 2003-03-06 | Victor Gogolak | Method and system for creating, storing and using patient-specific and population-based genomic drug safety data |
| CN111383761A (en) * | 2018-12-28 | 2020-07-07 | 医渡云（北京）技术有限公司 | Medical data analysis method and device, electronic equipment and computer readable medium |
| CN111383725A (en) * | 2018-12-28 | 2020-07-07 | 国家食品药品监督管理总局药品评价中心 | Adverse reaction data identification method and device, electronic equipment and readable medium |
| CN110767319A (en) * | 2019-09-30 | 2020-02-07 | 南京邮电大学 | Method for detecting adverse reaction signals of combined medication |
| CN111223571A (en) * | 2020-01-06 | 2020-06-02 | 中国人民解放军总医院 | Adverse drug reaction monitoring method and device, computer equipment and storage medium |
| CN111599481A (en) * | 2020-04-22 | 2020-08-28 | 国家药品监督管理局药品评价中心(国家药品不良反应监测中心) | Method and device for monitoring adverse drug reactions and readable medium |
| CN111883219A (en) * | 2020-06-15 | 2020-11-03 | 吴嘉瑞 | Drug adverse reaction data mining method based on decision tree |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117131235A (en) * | 2023-10-24 | 2023-11-28 | 上海柯林布瑞信息技术有限公司 | Medical data retrieval method and device based on combined medication condition |
| CN117131235B (en) * | 2023-10-24 | 2024-01-30 | 上海柯林布瑞信息技术有限公司 | Medical data retrieval method and device based on combined medication condition |
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Application publication date: 20210219 |