CN112786213A - System and method for comprehensively evaluating multiple medication risks - Google Patents
System and method for comprehensively evaluating multiple medication risks Download PDFInfo
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Abstract
The invention provides a system and a method for comprehensively evaluating multiple medication risks, which receive information to be evaluated of a client by establishing a corresponding basic information database of a medicament, perform data matching and analysis on the information to be evaluated from the client according to medicament and disease information in the basic information database of the medicament, obtain a data result corresponding to the information to be evaluated, and finally display the client to guide a user to take medicaments, thereby ensuring the medication safety of a patient and avoiding the harm to the health of the patient caused by the interaction between bad medicaments and medicaments.
Description
Technical Field
The invention relates to the field of medical health, in particular to a system and a method for comprehensively evaluating multiple medication risks.
Background
As the aging degree of the population of China continuously deepens, the health problem of the old people becomes a key point of attention. The structure and function of various cell organ tissues of old people are aged year by year due to the increase of age and the occurrence of aging, the physiological function is gradually reduced, and a phenomenon of coexistence of various chronic diseases is frequently caused, so that multiple medicines are generally used. Multiple medication refers to that one patient uses multiple medicines, usually more than 5 medicines are used by the patient at the same time, including non-prescription medicines, Chinese herbal medicines and health care products, and improper multiple medication can cause poor health fatigues such as hospitalization risk, adverse drug reactions and falling down, so that the life quality of the old is seriously affected and the health of the old is endangered, therefore, how to effectively avoid the occurrence of the above situations is a problem to be solved urgently at present.
At present, the risk assessment method for the multiple medication of the old mainly comprises two methods: 1) evaluating potential improper medication of the old by adopting a beer evaluation standard, and establishing other 20 kinds of evaluation standards all around the world; 2) the assessment of potentially inappropriate medication for the elderly using STOPP/START assessment criteria is a rapid prescription screening tool. The two main aspects are evaluation standards for evaluating the safety of the medicine, the comprehensive evaluation of clinical medication of the old has certain one-sidedness, particularly under the conditions that some western medicine names are rarely used for Chinese translation and too long in name, inaccurate evaluation can be caused, and a certain informatization system which can quickly and comprehensively evaluate the condition of multiple medication of the old does not exist at present. Therefore, the invention provides a system and a method for comprehensively evaluating the risk of multiple drugs.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a system for comprehensively evaluating the risk of multiple drugs, which comprises a drug basic information database, a client and a cloud platform.
The basic information database of the medicine collects the information of the medicine commonly used by the old according to the medicine specification and authoritative medicine information websites at home and abroad, and establishes a basic information database of the medicine, including medicine variety information, adverse reactions, interaction, related intervention suggestions of potential improper medication and the like;
the client is used for acquiring personal information, medication history, current medication information and the like of the patient;
the cloud platform comprises an evaluation system and a feedback system, wherein the evaluation system is used for carrying out multiple medication evaluation on information to be evaluated of a user from a client and based on information in a basic information database of the medicine to obtain a data evaluation result corresponding to the information to be evaluated;
the client is used for providing an interactive interface for a user, receiving and uploading information to be evaluated input by the user, receiving a data result corresponding to the information to be evaluated and displaying the data result on a corresponding interface;
and the client and the drug basic information database are in communication connection with the cloud platform.
Furthermore, the basic information database of the medicine comprises an information identification module and an information storage module; the information identification module is used for extracting and identifying the medicine name, the medicine using method and the disease-medicine risk information from the medicine using instruction book and an authoritative medicine information website at home and abroad, and the information storage module is used for storing the identified medicine name, the medicine using method and the disease-medicine risk information for the use of an evaluation system;
furthermore, the information identification module obtains an internet data set by crawling webpage information to a server with medical information in the whole internet; extracting a named entity, and identifying and extracting the content of the Internet data set to obtain the named entity; searching and establishing a set, traversing the Internet data set in the step, searching a named entity and attribute pair, and establishing an attribute set related to the named entity; quantifying information, quantifying the association relationship between the attribute words and the named entities in the attribute set, and associating the named entities with the attribute word set; establishing a knowledge map, establishing a topological structure between the named entities through the relationship between the attribute word sets associated with the named entities to form the knowledge map, and updating the topological structure in a set period.
Furthermore, the named entity is extracted, and the content of the internet data set is identified and extracted to obtain the named entity; specifically, the method includes traversing the documents of the internet data set in the step, distinguishing keywords in each document tag, if yes, storing the documents to the local, otherwise, neglecting continuous distinguishing, and finally extracting named entities through a maximum entropy model, structured data and unstructured data, wherein the named entities are named entity words of disease names and drug names, and the method includes the following steps: disease entity words: sicca syndrome, bacterial pericarditis, coffee bacterial blight, eyeground maculopathy, etc.; the medicine entity word: youdao, Li ke health liquid, Shenjin Dan capsule, Bitongwan pill, etc.
Although the named entity words are extracted, most of the webpage data are from non-professional persons, and the extracted named entity words, particularly disease entity words, are too academic and lack of spoken disease entity words. Such as disease entity schizoaffective disorder, trigeminal psychosis, etc., these words are psychosis in common spoken language expression, but the extracted entity words lack the name of the spoken language illness. The method of segmenting the entity words and extracting the public part is adopted, and then spoken entity words such as mental diseases, colds and the like are extracted through manual filtration and added into a knowledge base together with academic entity words.
Furthermore, the evaluation system comprises a use information storage module and an information matching and intelligent recommendation module; the use information storage module is used for storing personal information, medication history, current medication information and the like uploaded by a user through a client for subsequent evaluation and analysis; the information matching and intelligent recommendation module is used for performing data matching and mining on information to be evaluated from the interactive terminal according to the medicine and disease information in the medicine basic information database and obtaining a data result corresponding to the information to be evaluated;
furthermore, the client comprises an information receiving and uploading module and a result display module; the information receiving and uploading module is used for receiving and uploading information to be evaluated, which is input by a user at a client; the result display module; and the data processing module is used for returning the data result corresponding to the information to be evaluated to the interactive terminal for displaying.
Furthermore, the basic information database of the medicine comprises medicine names, disease names, clinical index early warning values and medicine disease interaction information.
Still further, the drug-disease interaction information includes disease-drug risk, potentially inappropriate medication for the geriatric syndrome, potentially inappropriate medication for the elderly, intraoperative medication risk, pre-alarm value risk drugs;
wherein the disease-drug risk information is medication risk points and use suggestions for using a certain drug in a known geriatric disease state; potentially inappropriate medication for geriatric syndrome information is inappropriate medication in the context of known geriatric syndrome; the potential improper medication risk information of the old people is medication risk point/use suggestions corresponding to some medicines which may not be suitable for the old people, primary and secondary warning medicine classification and risk intensity of the medicines; the medicine taking risk information in the operation period is the potential risk and the use suggestion corresponding to the improper medicine taking of the elderly patients in the period from the determination of the start of the operation treatment to the end of the operation treatment; the early warning value risk medicine information is risk medicine of the old in a certain physiological index range.
Furthermore, the information to be evaluated in the evaluation system comprises drug-disease names, senile syndrome names, names of potentially improper drugs for old people, names of drugs at risk in operation period, and clinical index early warning values.
Furthermore, the information to be evaluated is a medicine-disease name, the information matching and intelligent recommending module searches the medicine basic information database for the disease-medicine risk information corresponding to the medicine-disease name, and the disease-medicine risk information is used as a multi-medication risk evaluation result of the patient.
Furthermore, the information to be evaluated is the name of the senile syndrome, the information matching and intelligent recommending module searches the potentially inappropriate medication information of the senile syndrome corresponding to the name of the senile syndrome in the basic information database of the medicine, and the potentially inappropriate medication information of the senile syndrome is used as the multiple medication risk evaluation result of the patient.
Furthermore, the information to be evaluated is the names of the potentially improper medication drugs of the old people, the information matching and intelligent recommending module searches the basic information database of the drugs for the risk information of the potentially improper medication of the old people corresponding to the names of the potentially improper medication drugs of the old people, and the risk information of the potentially improper medication is used as the multiple medication risk evaluation result of the patient.
Furthermore, the information to be evaluated is a name of the drug at risk in the operation period, the information matching and intelligent recommending module searches the risk information of the drug at the operation period corresponding to the name of the drug at risk in the operation period in the multi-drug risk database, and the risk information of the drug at the operation period is used as a multi-drug risk evaluation result of the elderly patient.
Furthermore, the information to be evaluated is a clinical index early warning value, the information matching and intelligent recommendation module searches early warning value risk drug information corresponding to the clinical index early warning value in the drug basic information database, and the early warning value risk drug information is used as a multiple-drug-taking risk evaluation result of the patient.
The invention also provides a method for comprehensively evaluating the risk of multiple medication, which utilizes the multiple medication risk evaluation system to evaluate the risk of multiple medication of a patient and comprises the following steps:
s101: establishing basic information database of medicine
Extracting and identifying the drug name, the drug use method and the disease-drug risk information from the drug use instruction and an authoritative drug information website at home and abroad, and establishing a drug basic information database to store the identified drug name, the drug use method and the disease-drug risk information for an evaluation system to use;
s102: receiving and uploading information
Receiving and uploading information to be evaluated input by a user at a client; including personal information, medication history, current medication information, etc. of the patient;
s103: information matching and intelligent recommendation
Performing data matching and analysis on information to be evaluated from a client according to medicine and disease information in a medicine basic information database, and obtaining a data result corresponding to the information to be evaluated;
s104: feedback of results
Returning a data result corresponding to the information to be evaluated to the client for displaying;
compared with the prior art, the invention has the following advantages: the multi-medication risk assessment system and the method receive information to be assessed of a client side by establishing a corresponding basic medication information database, inquire results related to the information to be assessed, and finally display the results to guide a user to take medication.
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FIG. 1 is a schematic flow chart illustrating a method for overall evaluation of risk of multiple medications according to an embodiment of the present invention;
FIG. 2 is a block diagram of a system for overall evaluation of risk of multiple medications according to an embodiment of the present invention
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
Example one
The embodiment provides a technical scheme: a system for comprehensively evaluating the risk of multiple medications comprises a basic information database of the medications, a client and a cloud platform;
the medicine basic information database comprises an information identification module and an information storage module; the information identification module is used for extracting and identifying the medicine name, the medicine using method and the disease-medicine risk information from the medicine using instruction book and an authoritative medicine information website at home and abroad, and the information storage module is used for storing the identified medicine name, the medicine using method and the disease-medicine risk information for the use of an evaluation system;
furthermore, the information identification module obtains an internet data set by crawling webpage information to a server with medical information in the whole internet; extracting a named entity, and identifying and extracting the content of the Internet data set to obtain the named entity; searching and establishing a set, traversing the Internet data set in the step, searching a named entity and attribute pair, and establishing an attribute set related to the named entity; quantifying information, quantifying the association relationship between the attribute words and the named entities in the attribute set, and associating the named entities with the attribute word set; establishing a knowledge map, establishing a topological structure between the named entities through the relationship between the attribute word sets associated with the named entities to form the knowledge map, and updating the topological structure in a set period.
Furthermore, the named entity is extracted, and the content of the internet data set is identified and extracted to obtain the named entity; specifically, the method includes traversing the documents of the internet data set in the step, distinguishing keywords in each document tag, if yes, storing the documents to the local, otherwise, neglecting continuous distinguishing, and finally extracting named entities through a maximum entropy model, structured data and unstructured data, wherein the named entities are named entity words of disease names and drug names, and the method includes the following steps: disease entity words: sicca syndrome, bacterial pericarditis, coffee bacterial blight, eyeground maculopathy, etc.; the medicine entity word: youdao, Li ke health liquid, Shenjin Dan capsule, Bitongwan pill, etc.
Although the named entity words are extracted, most of the webpage data are from non-professional persons, and the extracted named entity words, particularly disease entity words, are too academic and lack of spoken disease entity words. Such as disease entity schizoaffective disorder, trigeminal psychosis, etc., these words are psychosis in common spoken language expression, but the extracted entity words lack the name of the spoken language illness. The method of segmenting the entity words and extracting the public part is adopted, and then spoken entity words such as mental diseases, colds and the like are extracted through manual filtration and added into a knowledge base together with academic entity words.
The cloud platform comprises an evaluation system and a feedback system, wherein the evaluation system is used for carrying out multiple medication evaluation on information to be evaluated of a user from a client and based on information in a basic information database of the medicine to obtain a data evaluation result corresponding to the information to be evaluated;
the client is used for providing an interactive interface for a user, receiving and uploading information to be evaluated input by the user, receiving a data result corresponding to the information to be evaluated and displaying the data result on a corresponding interface;
and the client and the drug basic information database are in communication connection with the cloud platform.
The evaluation system comprises a use information recording module and an information matching and intelligent recommendation module; the using information recording module is used for recording the using condition of the user at the interactive terminal for subsequent data analysis; the information matching and intelligent recommendation module is used for performing data matching and mining on information to be evaluated from the interactive terminal according to the medicine and disease information in the multi-medication risk database and obtaining a data result corresponding to the information to be evaluated;
the client comprises an information receiving and uploading module and a result display module; the information receiving and uploading module is used for receiving and uploading information to be evaluated, which is input by a user at a client; the result display module; and the data processing module is used for returning the data result corresponding to the information to be evaluated to the interactive terminal for displaying.
The basic information database of the medicine comprises medicine names, disease names, clinical index early warning values and medicine disease interaction information.
The drug disease interaction information includes disease-drug risk, potentially inappropriate administration for geriatric syndrome, potentially inappropriate administration risk for the elderly, intraoperative administration risk, pre-alarm value risk drugs;
wherein the disease-drug risk information is medication risk points and use suggestions for using a certain drug in a known geriatric disease state; potentially inappropriate medication for geriatric syndrome information is inappropriate medication in the context of known geriatric syndrome; the potential improper medication risk information of the old people is medication risk point/use suggestions corresponding to some medicines which may not be suitable for the old people, primary and secondary warning medicine classification and risk intensity of the medicines; the medicine taking risk information in the operation period is the potential risk and the use suggestion corresponding to the improper medicine taking of the elderly patients in the period from the determination of the start of the operation treatment to the end of the operation treatment; the early warning value risk medicine information is risk medicine of the old in a certain physiological index range.
The information to be evaluated in the evaluation system comprises medicine-disease names, senile syndrome names, potentially improper medication names of the elderly, operation stage risk medicine names and clinical index early warning values.
The information to be evaluated is a medicine-disease name, the information matching and intelligent recommending module searches the medicine basic information database for the disease-medicine risk information corresponding to the medicine-disease name, and the disease-medicine risk information is used as a multi-medication risk evaluation result of the patient.
The information to be evaluated is the name of the senile syndrome, the information matching and intelligent recommending module searches the information of the potentially inappropriate medication of the senile syndrome corresponding to the name of the senile syndrome in the basic information database of the medicine, and the information of the potentially inappropriate medication of the senile syndrome is used as the multiple medication risk evaluation result of the patient.
The information to be evaluated is the names of the potentially improper medication drugs of the old people, the information matching and intelligent recommending module searches the risk information of the potentially improper medication drugs of the old people corresponding to the names of the potentially improper medication drugs of the old people in the basic information database of the drugs, and the risk information of the potentially improper medication drugs is used as the multiple medication risk evaluation result of the patient.
The information to be evaluated is the name of the medicament with the risk in the operation period, the information matching and intelligent recommending module searches the medicament risk information in the operation period corresponding to the name of the medicament with the risk in the operation period in the multi-medicament risk database, and the medicament risk information in the operation period is used as the multi-medicament risk evaluation result of the old patient.
The information to be evaluated is a clinical index early warning value, the information matching and intelligent recommending module searches early warning value risk medicine information corresponding to the clinical index early warning value in the medicine basic information database, and the early warning value risk medicine information is used as a patient multi-medication risk evaluation result.
As shown in fig. 1, the present embodiment further provides a method for comprehensively evaluating a risk of multiple medications, and the method for evaluating a risk of multiple medications of a patient by using the multiple medication risk evaluation system includes the following steps:
s101: establishing basic information database of medicine
Extracting and identifying the drug name, the drug use method and the disease-drug risk information from the drug use instruction and an authoritative drug information website at home and abroad, and establishing a drug basic information database to store the identified drug name, the drug use method and the disease-drug risk information for an evaluation system to use;
s102: receiving and uploading information
Receiving and uploading information to be evaluated input by a user at a client; including personal information, medication history, current medication information, etc. of the patient;
s103: information matching and intelligent recommendation
Performing data matching and analysis on information to be evaluated from a client according to medicine and disease information in a medicine basic information database, and obtaining a data result corresponding to the information to be evaluated;
s104: feedback of results
And returning the data result corresponding to the information to be evaluated to the client for displaying.
Based on the same inventive concept, the invention provides equipment of a multiple medication risk assessment system, which comprises:
a processor;
storage means for storing one or more programs;
the one or more programs are executed by the one or more processors, causing the one or more processors to implement the scanning method described above.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
It should be understood that the technical problems can be solved by combining and combining the features of the embodiments from the claims.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
To sum up, the system and the method for evaluating the risk of multiple medication for the elderly patient in the embodiments receive the information to be evaluated at the client by establishing the corresponding basic information database of the medication, query the result related to the information to be evaluated, and finally show that the result guides the medication of the patient at the client, help medical staff to quickly query the information of multiple medication for the elderly patient, select more reasonable medicines for the elderly patient, ensure the medication safety of the elderly patient, and are worthy of being popularized and used.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (6)
1. A system for comprehensively evaluating the risk of multiple drugs is characterized in that: the system comprises a medicine basic information database, a client and a cloud platform;
the basic information database of the medicine collects the information of the medicine commonly used by the old according to the medicine specification and authoritative medicine information websites at home and abroad, and establishes a basic information database of the medicine, including medicine variety information, adverse reactions, interaction, related intervention suggestions of potential improper medication and the like;
the client is used for providing an interactive interface for a user, receiving and uploading information to be evaluated input by the user, receiving a data result corresponding to the information to be evaluated and displaying the data result on a corresponding interface;
the cloud platform comprises an evaluation system and a feedback system, wherein the evaluation system is used for carrying out multiple medication evaluation on information to be evaluated of a user from a client and based on information in a basic information database of the medicine to obtain a data evaluation result corresponding to the information to be evaluated;
and the client and the drug basic information database are in communication connection with the cloud platform.
2. The system of claim 1, wherein: the basic information database of the medicine comprises an information identification module and an information storage module; the information identification module is used for extracting and identifying the medicine name, the medicine using method and the disease-medicine risk information from the medicine using instruction book and an authoritative medicine information website at home and abroad, and the information storage module is used for storing the identified medicine name, the medicine using method and the disease-medicine risk information for the use of an evaluation system.
3. The system of claim 2, wherein: the information identification module obtains an internet data set by crawling webpage information from a server with medical information on the whole internet; extracting a named entity, and identifying and extracting the content of the Internet data set to obtain the named entity; searching and establishing a set, traversing the Internet data set in the step, searching a named entity and attribute pair, and establishing an attribute set related to the named entity; quantifying information, quantifying the association relationship between the attribute words and the named entities in the attribute set, and associating the named entities with the attribute word set; establishing a knowledge map, establishing a topological structure between the named entities through the relationship between the attribute word sets associated with the named entities to form the knowledge map, and updating the topological structure in a set period.
4. The system of claim 1, wherein: the evaluation system comprises a use information storage module and an information matching and intelligent recommendation module; the use information storage module is used for storing personal information, medication history, current medication information and the like uploaded by a user through a client for subsequent evaluation and analysis; the information matching and intelligent recommendation module is used for performing data matching and mining on information to be evaluated from the interactive terminal according to the medicine and disease information in the medicine basic information database and obtaining a data result corresponding to the information to be evaluated; the client comprises an information receiving and uploading module and a result display module; the information receiving and uploading module is used for receiving and uploading information to be evaluated, which is input by a user at a client; the result display module; and the data processing module is used for returning the data result corresponding to the information to be evaluated to the interactive terminal for displaying.
5. A multi-medication risk assessment method for assessing the multi-medication risk of a patient by using the multi-medication risk assessment system according to any one of claims 1 to 4, comprising the following steps:
s101: establishing basic information database of medicine
Extracting and identifying the drug name, the drug use method and the disease-drug risk information from the drug use instruction and an authoritative drug information website at home and abroad, and establishing a drug basic information database to store the identified drug name, the drug use method and the disease-drug risk information for an evaluation system to use;
s102: receiving and uploading information
Receiving and uploading information to be evaluated input by a user at a client; including personal information, medication history, current medication information, etc. of the patient;
s103: information matching and intelligent recommendation
Performing data matching and analysis on information to be evaluated from a client according to medicine and disease information in a medicine basic information database, and obtaining a data result corresponding to the information to be evaluated;
s104: feedback of results
And returning the data result corresponding to the information to be evaluated to the client for displaying.
6. The method for multiple-use risk assessment according to claim 5, wherein: in step S101, the information identification module obtains an internet data set by crawling web page information to a server having medical information throughout the internet; extracting a named entity, and identifying and extracting the content of the Internet data set to obtain the named entity; searching and establishing a set, traversing the Internet data set in the step, searching a named entity and attribute pair, and establishing an attribute set related to the named entity; quantifying information, quantifying the association relationship between the attribute words and the named entities in the attribute set, and associating the named entities with the attribute word set; establishing a knowledge map, establishing a topological structure between the named entities through the relationship between the attribute word sets associated with the named entities to form the knowledge map, and updating the topological structure in a set period.
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