WO2016070439A1 - Method, system and device for intelligently selecting medicine - Google Patents
Method, system and device for intelligently selecting medicine Download PDFInfo
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- WO2016070439A1 WO2016070439A1 PCT/CN2014/090661 CN2014090661W WO2016070439A1 WO 2016070439 A1 WO2016070439 A1 WO 2016070439A1 CN 2014090661 W CN2014090661 W CN 2014090661W WO 2016070439 A1 WO2016070439 A1 WO 2016070439A1
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
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- a drug is a substance used to prevent, treat, or diagnose a person's disease, purposefully regulate a person's physiology, and specify an indication or function, usage, and dosage. Choosing the right medicine and the correct dosage are important issues related to the health and safety of patients.
- the invention provides a method, system and device for intelligent drug selection.
- the intelligent drug selection matching is performed by comparing the information of the drug use element with the information of each attribute item in the information related to the drug use of the patient;
- the pharmacy attribute items involved in the multi-dimensional attribute item dictionary include at least: a related attribute of the drug purpose, a related attribute of the drug component, a related attribute of the drug specification package, a related attribute of the drug indication, a related attribute of the drug usage and dosage, Relevant attributes of drug administration routes, related attributes of drug contraindications, related attributes of adverse drug reactions, related attributes of drug precautions, related attributes of patient allergy history, related attributes of patient medication history, relevant attributes of drug administration routes of patients, At least one of the dimensions of the patient's medication-related gene properties, and the like.
- the method further comprises generating a smart drug selection list by personalized screening.
- the method further comprises generating usage and usage recommendation information.
- the source of the patient medication information is at least one of a doctor's prescription, a treatment plan, a medication plan, a medical record, a medical record, a medical record, an examination result, a patient self-reported symptom, and a patient's self-selection drug.
- the age element of an indication for this drug matches the age element in the patient's medication information:
- a multi-dimensional attribute item dictionary unit for providing a multi-dimensional attribute item dictionary
- the multi-dimensional processing unit for patient medication related element information processes the information related to the patient medication according to the multi-dimensional attribute item dictionary unit;
- the multi-dimensional attribute item dictionary unit is configured to provide a standard dictionary related to various medical or pharmaceutical attributes in the drug use information and the patient medication information.
- the multi-dimensional attribute item dictionary unit is configured to provide a drug dictionary use information and a drug dictionary information, and different medical source or drug attribute different origins from the standard dictionary.
- the system further comprises a personalized screening intelligent drug selection unit.
- the drug use information is derived from at least one of a drug instruction manual, a pharmacopoeia, a national formulary, a treatment/drug guide, an expert consensus, and medication regulations at various levels of medical institutions.
- the match between the indication of the drug and the patient's medication information for the patient is:
- Med Medi drug (Med) Med
- one of the indications in the drug use information is Med(x i )
- the result of the split is Med(x i ,ag,gen,spe,sym,his,fam,ale, Oth)).
- a drug use element information extraction module for extracting drug use element information
- the patient medication related element information extraction module is used for extracting information about the relevant elements of the patient medication
- the multi-dimensional attribute item dictionary module is configured to provide a drug dictionary using the drug source information and the patient medication information in different medical or pharmaceutical attributes from different sources and a standard dictionary.
- the medical attribute items involved in the multi-dimensional attribute item dictionary module include at least: a population-related attribute of the patient, a specific attribute of the patient, a disease-related attribute of the patient, a symptom-related attribute of the patient, and a related history attribute of the patient. At least one dimension of the patient's operation-related attributes, the patient's personal life history-related attributes, the patient's physiological state-related attributes, and the patient's examination-related attributes.
- the pharmacy attribute items involved in the multi-dimensional attribute item dictionary module include at least: relevant attributes of the drug purpose, related attributes of the drug component, relevant attributes of the drug specification package, related attributes of the drug indication, and related attributes of the drug usage and dosage.
- Relevant attributes of drug administration routes, related attributes of drug contraindications, related attributes of adverse drug reactions, related attributes of drug precautions, related attributes of patient allergy history, related attributes of patient medication history, and related attributes of drug administration routes of patients At least one of the dimensions of the drug-related gene properties of the patient.
- the device further comprises a module for generating an intelligent drug selection list by using a drug interaction, a repeated drug, or the like to cover all of the patient's re-inspection dimensions of the drug in use.
- the patient medication related information extraction module is configured to extract actual information of related attribute elements when the patient takes medication.
- the device can be used to assist at least one of a doctor's prescription, a pharmacist's medication plan, a smart recommendation drug for the patient's self-selected drug (OTC), and a pharmacy service for usage.
- a doctor's prescription a pharmacist's medication plan
- a smart recommendation drug for the patient's self-selected drug OTC
- Figure 9 is a diagram showing the functional structure of a single item review dimension to exclude an inappropriate drug system according to the present invention.
- Drug indication information refers to all information about the conditions applicable to the drug. The same drug may need to be applied according to different usage and dosage under different conditions, so the applicable conditions of the drug usage and use refer to the different conditions applicable to different usage and dosage of the same drug.
- Medication contraindications that is, regular medication contraindications, refer to all information on the conditions under which drugs are contraindicated.
- Information on drug indications, applicable conditions for drug usage and dosage, and sources of drug contraindications include: drug instructions, national formulary, national pharmacopoeia, clinical guidelines, medication guidelines, clinical consensus, medical institution in-house pharmacy, and related literature.
- Attribute item Property description Corresponding attribute dictionary
- Type of action prevention prevention operating Major surgery Type of action Reduce the risk of ... reduce risk Family history Family history of coronary heart disease Family history of coronary heart disease diagnosis diabetes diabetes diagnosis
- Dyslipidemia Hyperlipidemia diagnosis hypertension hypertension
- Special population obesity Obese people Special population History of smoking Smoking history
- Child dosage for children should start from a small dose of 0.25 ⁇ 0.5mg / kg, twice a day. Pay attention to monitoring heart rate and blood pressure.
- step 102 drug use element information is extracted.
- the information on the use of drugs mainly includes information on the indications, the conditions of use and dosage, and the relevant medical or pharmaceutical attribute elements of each drug use information.
- Drug use information comes from drug instructions, pharmacopoeia, national formulary, treatment/drug guidelines, expert consensus, and medication regulations at all levels of medical institutions.
- Step 107 Generate an intelligent drug selection list by selecting the drug selection. Drugs that meet the matching rules enter the list of drugs to be selected for the indications.
- the patient medication related element information extracting unit 204 is configured to extract actual information of related attribute elements at the time of patient medication. For example, it includes information such as the patient's gender, age, past medical history, disease name, and illness, and in particular, the necessary information in the drug use information of the drug used by the patient.
- the source of patient medication information is the doctor's prescription, treatment plan, medication plan, medical record, medical record, drug record, test result, patient's self-reported symptoms, and patient's self-selected drugs.
- a patient (Patient, referred to as Pa), the patient medication information includes age: (age, abbreviated as ag), gender (gender, referred to as gen), special group (special, referred to as spe), symptom (symptom, referred to as sym), both History disease (his), family disease (fam), allergic history (ale), other conditions (Other, referred to as Oth).
- the patient's physical condition is Pa (ag, gen, spe, sym, his, fam, ale, Oth).
- the workflow further includes personalizing the screening smart selection unit 211 with reference to FIG.
- the medicine use element information extraction module is used for extracting information about the indications, the usage and dosage conditions, and the medical or pharmaceutical attribute elements of the medication contraindications for each medicine use information.
- Drug use information comes from drug instructions, pharmacopoeia, national formulary, treatment/drug guidelines, expert consensus, and medication regulations at all levels of medical institutions.
- the age element of an indication for this drug matches the age element in the patient's medication information:
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Abstract
A method, system and device for intelligently selecting medicine, the method comprising: establishing a multi-dimensional attribute item dictionary (101); extracting medicine usage factor information (102); processing the medicine usage factor information according to the multi-dimensional attribute item dictionary (103); extracting related factor information of medicine used for a patient (104); according to the multi-dimensional attribute item dictionary, processing the related factor information of medicine used for the patient (105); conducting intelligent medicine selection matching and comparison on each attribute item information in the medicine usage factor information and the related factor information of medicine used for the patient (106); and generating an intelligent medicine selection list (107). The method, system and device for intelligently selecting medicine utilizes information technology to analyze and process a large amount of medicine usage data, and provides an intelligent medicine selection method.
Description
本发明涉及智能化药品信息处理的技术领域,特别是涉及一种智能选药的方法和系统。The invention relates to the technical field of intelligent drug information processing, in particular to a method and system for intelligent drug selection.
药品是指用于预防、治疗、诊断人的疾病,有目的地调节人的生理机能并规定有适应症或者功能主治、用法和用量的物质。选择适宜的药品以及正确的用法用量,是关系到患者健康、安全的重要问题。A drug is a substance used to prevent, treat, or diagnose a person's disease, purposefully regulate a person's physiology, and specify an indication or function, usage, and dosage. Choosing the right medicine and the correct dosage are important issues related to the health and safety of patients.
适宜药品及用法用量的选择涉及到多种因素和海量的医学、药学数据,仅靠现有的方法,在医生处方或患者自主选药时,既难以获得所有的患者用药关键数据,也不能全面的分析药物之间的复杂关系,容易造成关键信息的缺失,给患者的健康和安全带来隐患。The selection of suitable drugs and dosages involves a variety of factors and a large number of medical and pharmaceutical data. It is difficult to obtain all the key data of patients and can not be comprehensively obtained by doctors or patients when they choose drugs by existing methods. The complex relationship between the analysis of drugs easily leads to the loss of key information, which brings hidden dangers to patients' health and safety.
本方法和系统是以安全、有效、经济用药为目标的,基于患者、疾病、药品等多种维度综合分析,适用于医生处方或制定用药方案、药店药师/店员推荐药品、患者自主选择OTC(Over The Counter)药品等各种应用场景的,辅助选择药品及用法用量的药学智能系统。The method and system are aimed at safe, effective and economical medicine, and are comprehensively analyzed based on various dimensions such as patients, diseases, medicines, etc., and are suitable for doctors' prescriptions or formulating medication plans, drugstore pharmacists/store clerk recommended drugs, and patients independently selecting OTC ( Over The Counter) A pharmaceutical intelligent system that assists in the selection of drugs and usage in various application scenarios such as pharmaceuticals.
发明内容Summary of the invention
本发明提供了一种智能选药的方法、系统和设备。The invention provides a method, system and device for intelligent drug selection.
一种智能选药的方法,其特征在于,所述方法包括:A method for intelligent drug selection, characterized in that the method comprises:
建立多维度属性项字典;Create a dictionary of multi-dimensional attribute items;
提取药品使用要素信息;Extracting drug use element information;
根据多维度属性项字典对药品使用要素信息进行处理;Processing the drug use element information according to the multi-dimensional attribute item dictionary;
提取患者用药相关要素信息;Extracting information about the relevant elements of the patient's medication;
根据多维度属性项字典对患者用药相关要素信息进行处理;Processing the drug related factor information according to the multi-dimensional attribute item dictionary;
将药品使用要素信息与患者用药相关要素信息中各属性项信息进行智能选药匹配比对;The intelligent drug selection matching is performed by comparing the information of the drug use element with the information of each attribute item in the information related to the drug use of the patient;
生成智能选药列表;Generate a smart drug selection list;
生成智能用法用量方案。Generate a smart usage usage plan.
较佳的,多维度属性项字典,根据用药信息的医学或药学属性结构及各属性定义建立。Preferably, the multi-dimensional attribute item dictionary is established according to the medical or pharmaceutical attribute structure of the medication information and the definition of each attribute.
较佳的,多维度属性项字典,用于提供药品使用信息和患者用药信息中各项医学或药学属性涉及的标准字典。Preferably, the multi-dimensional attribute item dictionary is used to provide a standard dictionary related to various medical or pharmaceutical attributes in the drug use information and the patient medication information.
较佳的,多维度属性项字典,用于提供药品使用信息和患者用药信息中各项医学或药学属性不同来源异名与标准字典关联关系。Preferably, the multi-dimensional attribute item dictionary is used to provide the drug source usage information and the drug information of the patient, and the different sources of the medical or pharmaceutical attributes are associated with the standard dictionary.
较佳的,多维度属性项字典,根据不同的医学或药学属性将药品使用信息拆分到最小属性分项,同时保存各属性项之间的逻辑关系,并将各最小属性分项的数据与标准医学或药学属性项字典库关联。Preferably, the multi-dimensional attribute item dictionary splits the drug use information into the minimum attribute item according to different medical or pharmaceutical attributes, and saves the logical relationship between the attribute items, and the data of each minimum attribute item is Standard medical or pharmaceutical attribute item dictionary library association.
较佳的,多维度属性项字典中涉及的医学属性项至少包括:患者的人群相关属性、患者的特殊人群相关属性、患者的疾病相关属性、患者的症状相关属性、患者的既往病史相关属性、患者的操作相关属性、患者的个人生活史相关属性、患者的生理状态相关属性、患者的检查指标相关属性等的其中至少一个维度。
Preferably, the medical attribute items involved in the multi-dimensional attribute item dictionary include at least: a population-related attribute of the patient, a specific attribute of the patient, a disease-related attribute of the patient, a symptom-related attribute of the patient, a related history attribute of the patient, At least one dimension of the patient's operation-related attributes, the patient's personal life history-related attributes, the patient's physiological state-related attributes, and the patient's examination-related attributes.
较佳的,多维度属性项字典中涉及的药学属性项至少包括:用药目的相关属性、药品成分的相关属性、药品规格包装的相关属性、药品适应症的相关属性、药品用法用量的相关属性、药品给药途径的相关属性、药品禁忌症的相关属性、药品不良反应的相关属性、药品注意事项的相关属性以及患者过敏史相关属性、患者用药史相关属性、患者用药的给药途径相关属性、患者用药相关基因属性等的其中至少一个维度。Preferably, the pharmacy attribute items involved in the multi-dimensional attribute item dictionary include at least: a related attribute of the drug purpose, a related attribute of the drug component, a related attribute of the drug specification package, a related attribute of the drug indication, a related attribute of the drug usage and dosage, Relevant attributes of drug administration routes, related attributes of drug contraindications, related attributes of adverse drug reactions, related attributes of drug precautions, related attributes of patient allergy history, related attributes of patient medication history, relevant attributes of drug administration routes of patients, At least one of the dimensions of the patient's medication-related gene properties, and the like.
较佳的,通过适应症选药生成智能选药列表。Preferably, the intelligent drug selection list is generated by the selection of the drug.
较佳的,该方法进一步包括通过药物禁忌、药物过敏等药物的单项审核维度排除不适宜药品,生成智能选药列表。Preferably, the method further comprises excluding the unsuitable drug by a single auditing dimension of the drug contraindication, the drug allergy and the like, and generating a smart drug selection list.
较佳的,该方法进一步包括通过药物相互作用、重复用药等涵盖患者所有在用药品的重整审核维度排除不适宜药品,生成智能选药列表。Preferably, the method further comprises generating an intelligent drug selection list by including drug interactions, repeated medications, and the like to exclude unsuitable drugs from all of the patient's reform review dimensions of the drug.
较佳的,该方法进一步包括对智能选药列表进行医疗保险审核。Preferably, the method further comprises performing a medical insurance review on the smart drug selection list.
较佳的,该方法进一步包括通过个性化筛选生成智能选药列表。Preferably, the method further comprises generating a smart drug selection list by personalized screening.
较佳的,该方法进一步包括生成用法用量推荐信息。Preferably, the method further comprises generating usage and usage recommendation information.
较佳的,提取药品使用信息,用于提取每一种药品使用信息中适应症、用法用量适用条件、用药禁忌的相关医学/药学属性要素信息。Preferably, the information on the use of the medicine is extracted, and the information of the relevant medical/pharmaceutical attribute elements of the indications, the usage and dosage conditions, and the contraindications of the medication are extracted for each medicine use information.
较佳的,药品使用信息来源于药品说明书、药典、国家处方集、治疗/用药指南、专家共识、以及各级医疗机构用药规定等的其中至少之一。Preferably, the drug use information is derived from at least one of a drug instruction manual, a pharmacopoeia, a national formulary, a treatment/drug guide, an expert consensus, and medication regulations at various levels of medical institutions.
较佳的,提取患者用药相关信息,用于提取患者用药时相关属性要素的实际信息。Preferably, the patient medication related information is extracted for extracting actual information about the relevant attribute elements of the patient medication.
较佳的,患者用药信息的来源为医生处方、治疗方案、用药方案、病历、病案、药历、检查结果、患者自述症状、患者自主选药等其中的至少之一。Preferably, the source of the patient medication information is at least one of a doctor's prescription, a treatment plan, a medication plan, a medical record, a medical record, a medical record, an examination result, a patient self-reported symptom, and a patient's self-selection drug.
较佳的,生成匹配比对结果的方式为,Preferably, the way to generate a matching comparison result is,
此药物的某条适应证的年龄元素与该患者的用药信息中的年龄元素匹配结果为:The age element of an indication for this drug matches the age element in the patient's medication information:
此药物的某条适应证与该患者的患者用药信息匹配结果为:The match between the indication of the drug and the patient's medication information for the patient is:
患者Pa,是否能够使用本药物Med的结果为:
Patient Pa, whether the result of using this drug Med is:
其中,某患者(Patient,简称Pa),其患者用药信息包括年龄:(age,简称ag)、性别(gender,简称gen)、所属特殊人群(special,简称spe)、症状(symptom,简称sym)、既有病史(history disease,简称his)、家族病史(family disease,简称fam)、过敏史(allergic history,简称ale)、其他状况(Other,简称Oth)等。该患者的身体状况为Pa(ag,gen,spe,sym,his,fam,ale,Oth)。Among them, a patient (Patient, referred to as Pa), the patient medication information includes age: (age, abbreviated as ag), gender (gender, referred to as gen), special group (special, referred to as spe), symptom (symptom, referred to as sym) There are both history (his), family disease (fam), allergic history (ale), and other conditions (Other, referred to as Oth). The patient's physical condition is Pa (ag, gen, spe, sym, his, fam, ale, Oth).
某药品药物(Medicine,简称Med)Med,其药品使用信息中某条适应证为Med(xi),拆分结果为Med(xi(ag,gen,spe,sym,his,fam,ale,Oth))。Medi drug (Med) Med, one of the indications in the drug use information is Med(x i ), and the result of the split is Med(x i (ag, gen, spe, sym, his, fam, ale, Oth)).
较佳的,通过药物单项审核维度排除不适宜药品生成智能选药列表、通过药物重整审核维度进一步排除不适宜药品生成智能选药列表、对智能选药列表进行医疗保险审核、通过个性化筛选生成智能选药列表的先后顺序可以根据使用情况进行调整。Preferably, the smart drug selection list is excluded by the drug single-item review dimension, the smart drug selection list is further excluded by the drug reforming review dimension, the medical insurance list is selected for the smart drug selection list, and the personalized insurance screening is performed. The order in which the smart drug selection list is generated can be adjusted according to the usage.
较佳的,该方法可用于辅助医生处方、药师制定用药方案、患者自主选择药品(OTC)时智能推荐药品及用法用量的药学智能服务其中至少一项。Preferably, the method can be used to assist at least one of a doctor's prescription, a pharmacist formulating a medication regimen, a smart recommendation drug for a patient's self-selected drug (OTC), and a pharmacy smart service for usage and dosage.
一种智能选药的系统,其特征在于,所述系统包括:A system for intelligent drug selection, characterized in that the system comprises:
药品使用要素信息提取单元,用于提取药品使用要素信息;a drug use element information extracting unit for extracting drug use element information;
多维度属性项字典单元,用于提供多维度属性项字典;a multi-dimensional attribute item dictionary unit for providing a multi-dimensional attribute item dictionary;
药品使用要素信息多维度处理单元,根据多维度属性项字典单元对药品使用要素信息进行处理;The multi-dimensional processing unit of the medicine use element information processes the medicine use element information according to the multi-dimensional attribute item dictionary unit;
患者用药相关要素信息提取单元,用于提取患者用药相关要素信息;The patient medication related element information extraction unit is configured to extract information about the patient medication related elements;
患者用药相关要素信息多维度处理单元,根据多维度属性项字典单元对患者用药相关要素信息进行处理;The multi-dimensional processing unit for patient medication related element information processes the information related to the patient medication according to the multi-dimensional attribute item dictionary unit;
智能选药匹配比对单元,将药品使用要素信息与患者用药相关要素信息中各属性项信息的进行智能选药匹配比对;The intelligent drug selection matching unit compares the drug use element information with the information of each attribute item in the patient drug related element information for intelligent drug selection and matching;
智能选药单元,生成智能选药列表;Intelligent drug selection unit to generate a smart drug selection list;
智能用法用量单元,生成智能用法用量方案。The intelligent usage and usage unit generates a smart usage and usage plan.
较佳的,多维度属性项字典单元,根据用药信息的医学或药学属性结构及各属性定义建立。
Preferably, the multi-dimensional attribute item dictionary unit is established according to the medical or pharmaceutical attribute structure of the medication information and the definition of each attribute.
较佳的,多维度属性项字典单元,用于提供药品使用信息和患者用药信息中各项医学或药学属性涉及的标准字典。Preferably, the multi-dimensional attribute item dictionary unit is configured to provide a standard dictionary related to various medical or pharmaceutical attributes in the drug use information and the patient medication information.
较佳的,多维度属性项字典单元,用于提供药品使用信息和患者用药信息中各项医学或药学属性不同来源异名与标准字典关联关系。Preferably, the multi-dimensional attribute item dictionary unit is configured to provide a drug dictionary use information and a drug dictionary information, and different medical source or drug attribute different origins from the standard dictionary.
较佳的,多维度属性项字典单元,根据不同的医学或药学属性将药品使用信息拆分到最小属性分项,同时保存各属性项之间的逻辑关系,并将各最小属性分项的数据与标准医学或药学属性项字典库关联。Preferably, the multi-dimensional attribute item dictionary unit splits the drug use information into the minimum attribute item according to different medical or pharmaceutical attributes, and simultaneously saves the logical relationship between the attribute items, and records the data of each minimum attribute item. Associated with a standard medical or pharmaceutical attribute item dictionary library.
较佳的,多维度属性项字典中涉及的医学属性项至少包括:患者的人群相关属性、患者的特殊人群相关属性、患者的疾病相关属性、患者的症状相关属性、患者的既往病史相关属性、患者的操作相关属性、患者的个人生活史相关属性、患者的生理状态相关属性、患者的检查指标相关属性等的其中至少一个维度。Preferably, the medical attribute items involved in the multi-dimensional attribute item dictionary include at least: a population-related attribute of the patient, a specific attribute of the patient, a disease-related attribute of the patient, a symptom-related attribute of the patient, a related history attribute of the patient, At least one dimension of the patient's operation-related attributes, the patient's personal life history-related attributes, the patient's physiological state-related attributes, and the patient's examination-related attributes.
较佳的,多维度属性项字典中涉及的药学属性项至少包括:用药目的相关属性、药品成分的相关属性、药品规格包装的相关属性、药品适应症的相关属性、药品用法用量的相关属性、药品给药途径的相关属性、药品禁忌症的相关属性、药品不良反应的相关属性、药品注意事项的相关属性以及患者过敏史相关属性、患者用药史相关属性、患者用药的给药途径相关属性、患者用药相关基因属性等的其中至少一个维度。Preferably, the pharmacy attribute items involved in the multi-dimensional attribute item dictionary include at least: a related attribute of the drug purpose, a related attribute of the drug component, a related attribute of the drug specification package, a related attribute of the drug indication, a related attribute of the drug usage and dosage, Relevant attributes of drug administration routes, related attributes of drug contraindications, related attributes of adverse drug reactions, related attributes of drug precautions, related attributes of patient allergy history, related attributes of patient medication history, relevant attributes of drug administration routes of patients, At least one of the dimensions of the patient's medication-related gene properties, and the like.
较佳的,通过适应症选药生成智能选药列表。Preferably, the intelligent drug selection list is generated by the selection of the drug.
较佳的,该系统进一步包括通过药物禁忌、药物过敏等药物的单项审核维度排除不适宜药品的智能选药单元。Preferably, the system further comprises an intelligent drug selection unit for eliminating unsuitable drugs by a single review dimension of drugs such as drug contraindications and drug allergy.
较佳的,该系统进一步包括通过药物相互作用、重复用药等涵盖患者所有在用药品的重整审核维度排除不适宜药品的智能选药单元。Preferably, the system further comprises an intelligent drug selection unit that covers all of the patient's re-inspection dimensions of the drug by drug interaction, re-use, and the like.
较佳的,该系统进一步包括医疗保险审核单元。Preferably, the system further comprises a medical insurance review unit.
较佳的,该系统进一步包括个性化筛选智能选药单元。Preferably, the system further comprises a personalized screening intelligent drug selection unit.
较佳的,该系统进一步包括用法用量推荐单元。Preferably, the system further comprises a usage and dosage recommendation unit.
较佳的,药品使用要素信息提取单元,用于提取每一种药品使用信息中适应症、用法用量适用条件、用药禁忌的相关医学/药学属性要素信息。Preferably, the medicine use element information extracting unit is configured to extract information about the indications, the usage and dosage conditions, and the medical/pharmacy attribute elements of the medication contraindications for each medicine use information.
较佳的,药品使用信息来源于药品说明书、药典、国家处方集、治疗/用药指南、专家共识、以及各级医疗机构用药规定等的其中至少之一。Preferably, the drug use information is derived from at least one of a drug instruction manual, a pharmacopoeia, a national formulary, a treatment/drug guide, an expert consensus, and medication regulations at various levels of medical institutions.
较佳的,患者用药相关信息提取单元,用于提取患者用药时相关属性要素的实际信息。Preferably, the patient medication related information extracting unit is configured to extract actual information of related attribute elements when the patient takes medication.
较佳的,患者用药信息的来源为医生处方、治疗方案、用药方案、病历、病案、药历、检查结果、患者自述症状、患者自主选药等其中的至少之一。Preferably, the source of the patient medication information is at least one of a doctor's prescription, a treatment plan, a medication plan, a medical record, a medical record, a medical record, an examination result, a patient self-reported symptom, and a patient's self-selection drug.
较佳的,生成匹配比对结果的方式为,Preferably, the way to generate a matching comparison result is,
此药物的某条适应证的年龄元素与该患者的用药信息中的年龄元素匹配结果为:The age element of an indication for this drug matches the age element in the patient's medication information:
此药物的某条适应证与该患者的患者用药信息匹配结果为:
The match between the indication of the drug and the patient's medication information for the patient is:
患者Pa,是否能够使用本药物Med的结果为:Patient Pa, whether the result of using this drug Med is:
其中,某患者(Patient,简称Pa),其患者用药信息包括年龄:(age,简称ag)、性别(gender,简称gen)、所属特殊人群(special,简称spe)、症状(symptom,简称sym)、既有病史(history disease,简称his)、家族病史(family disease,简称fam)、过敏史(allergic history,简称ale)、其他状况(Other,简称Oth)等。该患者的身体状况为Pa(ag,gen,spe,sym,his,fam,ale,Oth)。Among them, a patient (Patient, referred to as Pa), the patient medication information includes age: (age, abbreviated as ag), gender (gender, referred to as gen), special group (special, referred to as spe), symptom (symptom, referred to as sym) There are both history (his), family disease (fam), allergic history (ale), and other conditions (Other, referred to as Oth). The patient's physical condition is Pa (ag, gen, spe, sym, his, fam, ale, Oth).
某药品药物(Medicine,简称Med)Med,其药品使用信息中某条适应证为Med(xi),拆分结果为Med(xi,ag,gen,spe,sym,his,fam,ale,Oth))。Medi drug (Med) Med, one of the indications in the drug use information is Med(x i ), and the result of the split is Med(x i ,ag,gen,spe,sym,his,fam,ale, Oth)).
较佳的,通过药物单项审核维度排除不适宜药品的智能选药单元、通过药物重整审核维度进一步排除不适宜药品的智能选药单元、医疗保险审核单元、个性化筛选智能选药单元的先后顺序可以根据进行调整。Preferably, the intelligent drug selection unit that excludes unsuitable drugs through the single item review dimension, the intelligent drug selection unit that further excludes inappropriate drugs through the drug reforming review dimension, the medical insurance review unit, and the personalized screening intelligent drug selection unit are successively The order can be adjusted according to the order.
较佳的,该系统可用于辅助医生处方、药师制定用药方案、患者自主选择药品(OTC)时智能推荐药品及用法用量的药学智能系统其中至少一项。Preferably, the system can be used to assist at least one of a doctor's prescription, a pharmacist formulating a medication regimen, a smart recommendation drug for a patient's self-selected drug (OTC), and a pharmaceutical intelligent system for usage and dosage.
一种智能选药的设备,其特征在于,所述设备包括:An intelligent drug selection device, characterized in that the device comprises:
药品使用要素信息提取模块,用于提取药品使用要素信息;a drug use element information extraction module for extracting drug use element information;
多维度属性项字典模块,用于提供多维度属性项字典;
a multi-dimensional attribute item dictionary module for providing a multi-dimensional attribute item dictionary;
药品使用要素信息多维度处理模块,根据多维度属性项字典模块对药品使用要素信息进行处理;The multi-dimensional processing module of the drug use element information processes the drug use element information according to the multi-dimensional attribute item dictionary module;
患者用药相关要素信息提取模块,用于提取患者用药相关要素信息;The patient medication related element information extraction module is used for extracting information about the relevant elements of the patient medication;
患者用药相关要素信息多维度处理模块,根据多维度属性项字典模块对患者用药相关要素信息进行处理;The multi-dimensional processing module for patient medication related element information processes the information related to the patient medication according to the multi-dimensional attribute item dictionary module;
智能选药匹配比对模块,将药品使用要素信息与患者用药相关要素信息中各属性项信息的进行智能选药匹配比对;The intelligent drug selection matching comparison module compares the drug use element information with the information of each attribute item in the patient drug related element information for intelligent drug selection and matching;
智能选药模块,生成智能选药列表;Intelligent drug selection module to generate a smart drug selection list;
较佳的,多维度属性项字典模块,根据用药信息的医学或药学属性结构及各属性定义建立。Preferably, the multi-dimensional attribute item dictionary module is established according to the medical or pharmaceutical attribute structure of the medication information and the definition of each attribute.
较佳的,多维度属性项字典模块,用于提供药品使用信息和患者用药信息中各项医学或药学属性涉及的标准字典。Preferably, the multi-dimensional attribute item dictionary module is configured to provide a standard dictionary related to various medical or pharmaceutical attributes in the drug use information and the patient medication information.
较佳的,多维度属性项字典模块,用于提供药品使用信息和患者用药信息中各项医学或药学属性不同来源异名与标准字典关联关系。Preferably, the multi-dimensional attribute item dictionary module is configured to provide a drug dictionary using the drug source information and the patient medication information in different medical or pharmaceutical attributes from different sources and a standard dictionary.
较佳的,多维度属性项字典模块,根据不同的医学或药学属性将药品使用信息拆分到最小属性分项,同时保存各属性项之间的逻辑关系,并将各最小属性分项的数据与标准医学或药学属性项字典库关联。Preferably, the multi-dimensional attribute item dictionary module splits the drug use information into the minimum attribute item according to different medical or pharmaceutical attributes, and simultaneously saves the logical relationship between the attribute items, and records the data of each minimum attribute item. Associated with a standard medical or pharmaceutical attribute item dictionary library.
较佳的,多维度属性项字典模块中涉及的医学属性项至少包括:患者的人群相关属性、患者的特殊人群相关属性、患者的疾病相关属性、患者的症状相关属性、患者的既往病史相关属性、患者的操作相关属性、患者的个人生活史相关属性、患者的生理状态相关属性、患者的检查指标相关属性等的其中至少一个维度。Preferably, the medical attribute items involved in the multi-dimensional attribute item dictionary module include at least: a population-related attribute of the patient, a specific attribute of the patient, a disease-related attribute of the patient, a symptom-related attribute of the patient, and a related history attribute of the patient. At least one dimension of the patient's operation-related attributes, the patient's personal life history-related attributes, the patient's physiological state-related attributes, and the patient's examination-related attributes.
较佳的,多维度属性项字典模块中涉及的药学属性项至少包括:用药目的相关属性、药品成分的相关属性、药品规格包装的相关属性、药品适应症的相关属性、药品用法用量的相关属性、药品给药途径的相关属性、药品禁忌症的相关属性、药品不良反应的相关属性、药品注意事项的相关属性以及患者过敏史相关属性、患者用药史相关属性、患者用药的给药途径相关属性、患者用药相关基因属性等的其中至少一个维度。Preferably, the pharmacy attribute items involved in the multi-dimensional attribute item dictionary module include at least: relevant attributes of the drug purpose, related attributes of the drug component, relevant attributes of the drug specification package, related attributes of the drug indication, and related attributes of the drug usage and dosage. Relevant attributes of drug administration routes, related attributes of drug contraindications, related attributes of adverse drug reactions, related attributes of drug precautions, related attributes of patient allergy history, related attributes of patient medication history, and related attributes of drug administration routes of patients At least one of the dimensions of the drug-related gene properties of the patient.
较佳的,通过适应症选药生成智能选药列表。Preferably, the intelligent drug selection list is generated by the selection of the drug.
较佳的,该设备进一步包括通过药物禁忌、药物过敏等药物的单项审核维度排除不适宜药品,生成智能选药列表的模块。Preferably, the device further comprises a module for generating an intelligent drug selection list by excluding unsuitable drugs through a single auditing dimension of drugs such as drug contraindications and drug allergy.
较佳的,该设备进一步包括通过药物相互作用、重复用药等涵盖患者所有在用药品的重整审核维度排除不适宜药品,生成智能选药列表的模块。Preferably, the device further comprises a module for generating an intelligent drug selection list by using a drug interaction, a repeated drug, or the like to cover all of the patient's re-inspection dimensions of the drug in use.
较佳的,该设备进一步包括医疗保险审核模块。Preferably, the device further comprises a medical insurance review module.
较佳的,该设备进一步包括个性化筛选智能选药模块。Preferably, the device further comprises a personalized screening intelligent drug selection module.
较佳的,该设备进一步包括用法用量推荐模块。Preferably, the device further comprises a usage and dosage recommendation module.
较佳的,药品使用要素信息提取模块,用于提取每一种药品使用信息中适应症、用法用量适用条件、用药禁忌的相关医学/药学属性要素信息。Preferably, the medicine use element information extraction module is configured to extract information about the indications, the usage and dosage conditions, and the medical/pharmacy attribute elements of the medication contraindications for each medicine use information.
较佳的,药品使用信息来源于药品说明书、药典、国家处方集、治疗/用药指南、专家共识、以及各级医疗机构用药规定等的其中至少之一。Preferably, the drug use information is derived from at least one of a drug instruction manual, a pharmacopoeia, a national formulary, a treatment/drug guide, an expert consensus, and medication regulations at various levels of medical institutions.
较佳的,患者用药相关信息提取模块,用于提取患者用药时相关属性要素的实际信息。Preferably, the patient medication related information extraction module is configured to extract actual information of related attribute elements when the patient takes medication.
较佳的,患者用药信息的来源为医生处方、治疗方案、用药方案、病历、病案、药历、检查结果、患者自述症状、患者自主选药等其中的至少之一。Preferably, the source of the patient medication information is at least one of a doctor's prescription, a treatment plan, a medication plan, a medical record, a medical record, a medical record, an examination result, a patient self-reported symptom, and a patient's self-selection drug.
较佳的,生成匹配比对结果的方式为:
Preferably, the way to generate a matching comparison result is:
此药物的某条适应证的年龄元素与该患者的用药信息中的年龄元素匹配结果为:The age element of an indication for this drug matches the age element in the patient's medication information:
此药物的某条适应证与该患者的患者用药信息匹配结果为:The match between the indication of the drug and the patient's medication information for the patient is:
患者Pa,是否能够使用本药物Med的结果为:Patient Pa, whether the result of using this drug Med is:
其中,某患者(Patient,简称Pa),其患者用药信息包括年龄:(age,简称ag)、性别(gender,简称gen)、所属特殊人群(special,简称spe)、症状(symptom,简称sym)、既有病史(history disease,简称his)、家族病史(family disease,简称fam)、过敏史(allergic history,简称ale)、其他状况(Other,简称Oth)等。该患者的身体状况为Pa(ag,gen,spe,sym,his,fam,ale,Oth)。Among them, a patient (Patient, referred to as Pa), the patient medication information includes age: (age, abbreviated as ag), gender (gender, referred to as gen), special group (special, referred to as spe), symptom (symptom, referred to as sym) There are both history (his), family disease (fam), allergic history (ale), and other conditions (Other, referred to as Oth). The patient's physical condition is Pa (ag, gen, spe, sym, his, fam, ale, Oth).
某药品药物(Medicine,简称Med)Med,其药品使用信息中某条适应证为Med(xi),拆分结果为Med(xi(ag,gen,spe,sym,his,fam,ale,Oth))。Medi drug (Med) Med, one of the indications in the drug use information is Med(x i ), and the result of the split is Med(x i (ag, gen, spe, sym, his, fam, ale, Oth)).
较佳的,单项审核维度排除不适宜药品智能选药模块、重整审核维度排除不适宜药品智能选药模块、医疗保险审核模块、个性化筛选智能选药模块的先后顺
序可以根据进行调整。Preferably, the single-audit dimension excludes the unsuitable drug intelligent drug selection module, the re-inspection dimension excludes the unsuitable drug intelligent drug selection module, the medical insurance review module, and the personalized screening intelligent drug selection module.
The order can be adjusted according to the order.
较佳的,该设备可用于辅助医生处方、药师制定用药方案、患者自主选择药品(OTC)时智能推荐药品及用法用量的药学智能服务其中至少一项。Preferably, the device can be used to assist at least one of a doctor's prescription, a pharmacist's medication plan, a smart recommendation drug for the patient's self-selected drug (OTC), and a pharmacy service for usage.
较佳的,该设备包括但不限于于医疗机构医生工作站、药师工作站,药店药师工作站、店员工作站、患者自助终端,患者可接入互联网设备(电脑、智能电视、移动电脑、智能手机、智能手表等)。Preferably, the device includes, but is not limited to, a medical institution doctor workstation, a pharmacist workstation, a pharmacy pharmacist workstation, a clerk workstation, a patient self-service terminal, and the patient can access an internet device (computer, smart TV, mobile computer, smart phone, smart watch) Wait).
图1示出根据本发明的系统结构示意图;Figure 1 shows a schematic structural view of a system according to the present invention;
图2示出根据本发明的智能选药的方法流程示意图;2 is a flow chart showing a method of intelligent drug selection according to the present invention;
图3示出根据本发明的单项审核维度排除不适宜药品的方法流程示意图;3 is a flow chart showing a method for eliminating inappropriate drugs according to the single item review dimension according to the present invention;
图4示出根据本发明的药物重整审核维度排除不适宜药品的方法流程示意图;4 is a flow chart showing a method for excluding an unsuitable drug according to the drug reforming review dimension of the present invention;
图5示出根据本发明的对智能选药列表进行医疗保险审核的方法流程示意图;5 is a flow chart showing a method for performing medical insurance review on an intelligent drug selection list according to the present invention;
图6示出根据本发明的个性化筛选的方法流程示意图;Figure 6 is a flow chart showing the method of personalized screening according to the present invention;
图7示出根据本发明的用法用量推荐的方法流程示意图;Figure 7 is a flow chart showing the method of usage and dosage recommendation according to the present invention;
图8示出根据本发明的智能选药系统的功能结构示意图;Figure 8 is a diagram showing the functional structure of an intelligent drug selection system according to the present invention;
图9示出根据本发明的单项审核维度排除不适宜药品系统的功能结构示意图;Figure 9 is a diagram showing the functional structure of a single item review dimension to exclude an inappropriate drug system according to the present invention;
图10示出根据本发明的药物重整审核维度排除不适宜药品系统的功能结构示意图;Figure 10 is a diagram showing the functional structure of the drug reforming review dimension according to the present invention for eliminating an inappropriate drug system;
图11示出根据本发明的对智能选药列表进行医疗保险审核系统的功能结构示意图;11 is a diagram showing the functional structure of a medical insurance review system for an intelligent drug selection list according to the present invention;
图12示出根据本发明的个性化筛选系统的功能结构示意图;Figure 12 is a diagram showing the functional structure of a personalized screening system in accordance with the present invention;
图13示出根据本发明的用法用量推荐系统的功能结构示意图;Figure 13 is a diagram showing the functional structure of the usage and dosage recommendation system according to the present invention;
为了使本发明的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本发明进行进一步详细说明。应当理解,此处所描述的具体实施例仅仅用以解释本发明,并不用于限定本发明。The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
图1示出了本发明的系统结构图。其中,工作站通过公网或医疗机构、零售药店的内网连接到服务器。工作站包括医师工作站、药师工作站、店员工作站、患者自助终端等。工作站可以是PC终端、移动终端、可穿戴设备等的其中至少一项。工作站与服务器的网络架构可以是C/S架构也可以是B/S架构。Fig. 1 shows a system configuration diagram of the present invention. Among them, the workstation is connected to the server through the public network or the internal network of the medical institution and the retail pharmacy. The workstation includes a physician workstation, a pharmacist workstation, a clerk workstation, a patient self-service terminal, and the like. The workstation may be at least one of a PC terminal, a mobile terminal, a wearable device, and the like. The network architecture of the workstation and server can be either a C/S architecture or a B/S architecture.
图2为本发明的一个实施例,一种智能选药方法的工作流程示意图。2 is a schematic diagram showing the workflow of an intelligent drug selection method according to an embodiment of the present invention.
在步骤101中,建立多维度属性项字典。In step 101, a multi-dimensional attribute item dictionary is established.
多维度属性项字典,用于提供药品使用信息和患者用药信息中各项医学或药学属性涉及的标准字典以及各不同来源异名与标准字典关联关系,是基于医学或药学属性信息对药品使用信息进行多维度的拆分而建立的结构化标准数据库。A multi-dimensional attribute item dictionary for providing a standard dictionary related to various medical or pharmaceutical attributes in drug use information and patient medication information, and a relationship between different source synonyms and a standard dictionary, and is based on medical or pharmaceutical attribute information for drug use information. A structured standard database built with multi-dimensional splits.
药品使用信息来源于药品说明书、药典、国家处方集、治疗/用药指南、专家共识、以及各级医疗机构用药规定中。这些信息又可以分为药品适应症、用法用量适用条件、用药禁忌等多种的信息类型。
Drug use information comes from drug instructions, pharmacopoeia, national formulary, treatment/drug guidelines, expert consensus, and medication regulations at all levels of medical institutions. This information can be divided into a variety of information types such as drug indications, usage and dosage conditions, and medication contraindications.
药品适应症信息指药物适用条件的所有信息。同一药品在不同条件下可能需要按照不同的用法用量适用,所以药品的用法用量适用条件是指同一药品的不同用法用量所适用的不同条件的信息。用药禁忌信息,即常规的用药禁忌,指药品禁忌使用的条件的所有信息。药品适应症信息、药品用法用量适用条件信息和用药禁忌信息的来源包括:药品说明书、国家处方集、国家药典、临床指南、用药指南、临床共识、医疗机构院内药事会以及相关文献。Drug indication information refers to all information about the conditions applicable to the drug. The same drug may need to be applied according to different usage and dosage under different conditions, so the applicable conditions of the drug usage and use refer to the different conditions applicable to different usage and dosage of the same drug. Medication contraindications, that is, regular medication contraindications, refer to all information on the conditions under which drugs are contraindicated. Information on drug indications, applicable conditions for drug usage and dosage, and sources of drug contraindications include: drug instructions, national formulary, national pharmacopoeia, clinical guidelines, medication guidelines, clinical consensus, medical institution in-house pharmacy, and related literature.
药品适应症、用法用量适用条件、用药禁忌的信息中含有大量的不同医学或药学属性的数据,将这些数据根据其不同的医学或药学属性拆分到最小属性分项,同时保存各属性项之间的逻辑关系,并将各最小属性分项的数据与标准医学或药学属性项字典库关联,即可生成药品适应症、用法用量适用条件、用药禁忌各自对应的医学或药学属性信息的结构化标准数据库,建立多维度属性项字典。Information on drug indications, usage and dosage, and contraindications for medication contain a large amount of data of different medical or pharmaceutical properties, and these data are separated into minimum attribute items according to their different medical or pharmaceutical properties, and each attribute item is saved. Between the logical relationship, and the data of each minimum attribute item is associated with the standard medical or pharmaceutical attribute item dictionary library, the structuring of the medical indications, the usage and dosage conditions, and the medical or pharmaceutical attribute information corresponding to the drug contraindications can be generated. A standard database that builds a dictionary of multi-dimensional attribute items.
以阿司匹林肠溶片的适应症信息为例:Take the indication information of aspirin enteric-coated tablets as an example:
阿司匹林肠溶片的适应症信息节选为:预防大手术后深静脉血栓和肺栓塞;降低心血管危险因素者(冠心病家族史、糖尿病、血脂异常、高血压、肥胖、抽烟史、年龄大于50岁者)心肌梗死发作的风险。The indications for indications for aspirin enteric-coated tablets are: prevention of deep vein thrombosis and pulmonary embolism after major surgery; reduction of cardiovascular risk factors (family history of coronary heart disease, diabetes, dyslipidemia, hypertension, obesity, smoking history, age greater than 50) The age of the person) the risk of myocardial infarction.
在多维度属性项字典中对于该药的适应症记录包括:The indications for the drug in the multi-dimensional attribute item dictionary include:
属性项Attribute item | 属性描述Property description | 对应属性字典Corresponding attribute dictionary |
作用类型Type of action | 预防prevention | 预防prevention |
操作operating | 大手术Major surgery | 大手术Major surgery |
作用类型Type of action | 降低….的风险Reduce the risk of ... | 降低风险reduce risk |
家族病史Family history | 冠心病家族史Family history of coronary heart disease | 冠心病家族史Family history of coronary heart disease |
诊断diagnosis | 糖尿病diabetes | 糖尿病diabetes |
诊断diagnosis | 血脂异常Dyslipidemia | 高脂血症Hyperlipidemia |
诊断diagnosis | 高血压hypertension | 高血压hypertension |
特殊人群Special population | 肥胖obesity | 肥胖人群Obese people |
特殊人群Special population | 抽烟史History of smoking | 吸烟史人群Smoking history |
年龄人群Age group | 年龄大于50岁者Those older than 50 years old | >50>50 |
再以阿替洛尔片的用法用量适用条件信息为例:Take the condition information of the usage and dosage of atenolol tablets as an example:
阿替洛尔片成人常用量:开始每次6.25~12.5mg,一日两次,按需要及耐受量渐增至50~200mg。肾功能损害时,肌酐清除率小于15ml/(min.1.73m[sup]2[/sup])者,每日25mg;15~35ml/(min.1.73m[sup]2[/sup])者,每日最多50mg。或遵医嘱。Atenolol tablets commonly used in adults: start each time 6.25 ~ 12.5mg, twice a day, as needed and tolerance to gradually increase to 50 ~ 200mg. In the case of renal dysfunction, the creatinine clearance rate is less than 15ml / (min.1.73m [sup] 2 [/sup]), 25mg daily; 15 ~ 35ml / (min.1.73m [sup] 2 [/sup]) , up to 50mg per day. Or follow the doctor's advice.
儿童用量:用于儿童应从小剂量开始0.25~0.5mg/kg,每日二次。注意监测心率、血压。Child dosage: for children should start from a small dose of 0.25 ~ 0.5mg / kg, twice a day. Pay attention to monitoring heart rate and blood pressure.
老人用药:所需剂量可以减少,尤其是肾功能衰退的患者。Older medications: The required dose can be reduced, especially in patients with impaired renal function.
在多维度属性项字典中对于阿替洛尔片用法用量适用条件的记录包括:The records applicable to the usage of atenolol tablets in the multi-dimensional attribute item dictionary include:
再以奥美拉唑肠溶胶囊的用药禁忌信息为例:Take the taboo information of omeprazole enteric-coated capsules as an example:
奥美拉唑肠溶胶囊,对该药过敏者、严重肾功能不全者及婴幼儿禁用。Omeprazole enteric-coated capsules are contraindicated in those who are allergic to the drug, those with severe renal insufficiency, and infants.
在多维度属性项字典中对于奥美拉唑肠溶胶囊用药禁忌的记录包括:Records of contraindications for omeprazole enteric-coated capsules in the multi-dimensional attribute item dictionary include:
属性项Attribute item | 属性描述Property description | 对应属性字典Corresponding attribute dictionary |
过敏史allergies | 本品This product | 奥美拉唑Omeprazole |
诊断diagnosis | 严重肾功能不全者Severe renal insufficiency | 严重肾功能不全Severe renal insufficiency |
年龄人群Age group | 婴幼儿Infant | <3<3 |
多维度属性项字典中涉及的多维度医学属性项至少包括:患者的人群相关属性,例如,年龄、性别、体重、身高、体表面积、民族、婚姻状况等;患者的特殊人群相关属性,例如,待孕、怀孕、哺乳期、更年期等;患者的疾病相关属性,例如,发病情况、病程、致病因、疾病部位、诊断、症状、检查结果、生理指标、伴随病症、后遗症等;患者的既往病史相关属性,例如,家族病史、疾病史、慢病史、传染病史、预防接种史、手术外伤史、输血史等;患者的操作相关属性,例如,手术、检查操作、辅助操作等;患者的个人生活史相关属性,例如,出生地及长期居留地、生活习惯、烟/酒/食物/药物等嗜好、职业与工作条件的可能健康损害等。多维度属性项字典中涉及的医学属性项至少包括患者的人群相关属性、患者的特殊人群相关属性、患者的疾病相关属性、患者的既往病史相关属性、患者的操作相关属性、患者的个人生活史相关属性等的其中至少一个维度。The multi-dimensional medical attribute items involved in the multi-dimensional attribute item dictionary include at least: a population-related attribute of the patient, for example, age, gender, weight, height, body surface area, ethnicity, marital status, etc.; specific characteristics of the patient's particular population, for example, Pregnancy, pregnancy, lactation, menopause, etc.; disease-related attributes of the patient, for example, morbidity, course of disease, cause of illness, location of disease, diagnosis, symptoms, test results, physiological indicators, accompanying diseases, sequelae, etc.; History-related attributes, such as family history, disease history, chronic disease history, history of infectious disease, history of vaccination, history of surgical trauma, history of blood transfusion, etc.; patient-related attributes, such as surgery, examination operations, assisted operations, etc.; Life history related attributes, such as birthplaces and long-term residence, lifestyle habits, hobbies such as tobacco/wine/food/drugs, possible health damage from occupational and working conditions, etc. The medical attribute items involved in the multi-dimensional attribute item dictionary include at least the patient's population-related attributes, the patient's special population-related attributes, the patient's disease-related attributes, the patient's past medical history-related attributes, the patient's operational-related attributes, and the patient's personal life history. At least one of the related attributes, etc.
多维度属性项字典中涉及的多维度药学属性项至少包括:用药目的相关属性,例如,治疗、预防、检查、诊断等;患者过敏史相关属性,例如,药物过敏史、食物过敏史、过敏源等;患者用药史相关属性,例如,曾用特殊药物、在服药物、药物不良反应等;患者用药的给药途径相关属性,例如,口服、外用、注射、吸入等;患者用药相关基因属性等。多维度属性项字典中涉及的药学属性项至少包括:用药目的相关属性、患者过敏史相关属性、患者用药史相关属性、患者用药的给药途径相关属性、患者用药相关基因属性等的其中至少一个维度。The multi-dimensional pharmacy attribute items involved in the multi-dimensional attribute item dictionary include at least: related attributes of the purpose of the medication, for example, treatment, prevention, examination, diagnosis, etc.; related attributes of the patient's allergy history, for example, history of drug allergy, history of food allergy, allergens Etc.; related properties of the patient's medication history, for example, using special drugs, taking drugs, adverse drug reactions, etc.; relevant attributes of the route of administration of the patient, for example, oral, topical, injection, inhalation, etc.; . The pharmacy attribute items involved in the multi-dimensional attribute item dictionary include at least one of the attributes related to the purpose of the medication, the attributes related to the history of the patient's allergy, the attributes related to the history of the medication of the patient, the relevant attributes of the administration route of the patient, and the genetic properties of the patient medication. Dimensions.
在步骤102中,提取药品使用要素信息。药品使用要素信息,主要包括每一种药品使用信息中适应症、用法用量适用条件、用药禁忌的相关医学或药学属性要素信息。药品使用信息来源于药品说明书、药典、国家处方集、治疗/用药指南、专家共识、以及各级医疗机构用药规定等。In step 102, drug use element information is extracted. The information on the use of drugs mainly includes information on the indications, the conditions of use and dosage, and the relevant medical or pharmaceutical attribute elements of each drug use information. Drug use information comes from drug instructions, pharmacopoeia, national formulary, treatment/drug guidelines, expert consensus, and medication regulations at all levels of medical institutions.
步骤103,根据多维度属性项字典对药品使用要素信息进行处理。Step 103: Process the medicine use element information according to the multi-dimensional attribute item dictionary.
根据拆分后的信息通过查找多维度属性项字典进行多维度处理。根据多维度属性项字典还可以异名处理同一种疾病在不同医院的不同诊断名称,比如将阿尔茨海默病与老年痴呆进行异名统一处理;也可以异名处理同一药品的不同剂型和规格的商品,进而提高了关联匹配的准确性。Multi-dimensional processing is performed by searching the multi-dimensional attribute item dictionary according to the split information. According to the multi-dimensional attribute item dictionary, different diagnostic names of the same disease in different hospitals can be treated differently, for example, Alzheimer's disease and Alzheimer's disease are treated differently; different dosage forms and specifications of the same medicine can also be processed by different names. The merchandise, which in turn improves the accuracy of the association match.
在步骤104中,提取患者用药相关要素信息。用于提取患者用药时相关属性要素的实际信息。例如,包括患者性别、年龄、既往病史、疾病名称,病症等信息,尤其应包含患者所使用药品的药品使用信息中的必要信息。患者用药信息的来源为医生处方、治疗方案、用药方案、病历、病案、药历、检查结果、患者自述症状、患者自主选药等。In step 104, patient medication related element information is extracted. The actual information used to extract the relevant attribute elements of the patient's medication. For example, it includes information such as the patient's gender, age, past medical history, disease name, and illness, and in particular, the necessary information in the drug use information of the drug used by the patient. The source of patient medication information is the doctor's prescription, treatment plan, medication plan, medical record, medical record, drug record, test result, patient's self-reported symptoms, and patient's self-selected drugs.
步骤105,根据多维度属性项字典对患者用药相关要素信息进行处理。根据拆分后的信息查找属性项字典,进行多维度处理。Step 105: Process the patient medication related element information according to the multi-dimensional attribute item dictionary. Find the attribute item dictionary based on the split information and perform multi-dimensional processing.
步骤106,智能选药匹配比对。In step 106, the intelligent drug selection matches the alignment.
具体的匹配比对公式描述如下:
The specific matching comparison formula is described as follows:
某患者(Patient,简称Pa),其患者用药信息包括年龄:(age,简称ag)、性别(gender,简称gen)、所属特殊人群(special,简称spe)、症状(symptom,简称sym)、既有病史(history disease,简称his)、家族病史(family disease,简称fam)、过敏史(allergic history,简称ale)、其他状况(Other,简称Oth)等。该患者的身体状况为Pa(ag,gen,spe,sym,his,fam,ale,Oth)。A patient (Patient, referred to as Pa), the patient medication information includes age: (age, abbreviated as ag), gender (gender, referred to as gen), special group (special, referred to as spe), symptom (symptom, referred to as sym), both History disease (his), family disease (fam), allergic history (ale), other conditions (Other, referred to as Oth). The patient's physical condition is Pa (ag, gen, spe, sym, his, fam, ale, Oth).
某药品药物(Medicine,简称Med)Med,其药品使用信息中某条适应证为Med(xi),拆分结果为Med(xi(ag,gen,spe,sym,his,fam,ale,Oth))。Medi drug (Med) Med, one of the indications in the drug use information is Med(x i ), and the result of the split is Med(x i (ag, gen, spe, sym, his, fam, ale, Oth)).
此药物的某条适应证的年龄元素与该患者的用药信息中的年龄元素匹配结果为:The age element of an indication for this drug matches the age element in the patient's medication information:
此药物的某条适应证与该患者的患者用药信息匹配结果为:The match between the indication of the drug and the patient's medication information for the patient is:
患者Pa,是否能够使用本药物Med的结果为:Patient Pa, whether the result of using this drug Med is:
步骤107,通过适应症选药生成智能选药列表。符合匹配规则的药品进入适应症符合的待选药品目录,供选择。Step 107: Generate an intelligent drug selection list by selecting the drug selection. Drugs that meet the matching rules enter the list of drugs to be selected for the indications.
根据本发明的另一个实施例,参照图3,该工作流程进一步包括步骤108。According to another embodiment of the present invention, referring to FIG. 3, the workflow further includes step 108.
步骤108,单项审核维度排除不适宜药品生成智能选药列表。提取筛选出列表的药品用药禁忌、致敏成分等不适宜使用的单项审核信息,与患者用药信息库数据进行比对,系统自动排除存在不适宜使用情况的药品,进一步生成推荐药品列表。对于用药信息不全的患者,系统提示关键信息由医生、药师、店员与患者确认或有患者自行确认,再进行排除。In step 108, the single item review dimension excludes an unsuitable drug to generate a smart drug selection list. The single-item audit information that is unsuitable for use, such as drug contraindications and sensitizing components, is selected and compared with the patient drug information database data, and the system automatically excludes drugs that are unsuitable for use, and further generates a list of recommended drugs. For patients with incomplete medication information, the system prompts the key information to be confirmed by the doctor, pharmacist, clerk and patient, or the patient confirms it and then excludes it.
根据本发明的另一个实施例,参照图4该工作流程进一步包括步骤109。According to another embodiment of the present invention, the workflow further includes step 109 with reference to FIG.
步骤109,药物重整审核维度排除不适宜药品生成智能选药列表。提取筛选后可供推荐的推荐列表的药品相互作用、重复用药等药物重整审核信息,与患者信息库数据中用药史或在服药品进行比对,自动排除存在相互作用、重复用药等不适宜使用的药品,进一步生成推荐药品列表。对于用药信息不全的患者,提示关键信息由医生、药师、店员与患者确认或由患者自行确认,再进行排除。In step 109, the drug re-inspection dimension excludes an unsuitable drug-generating smart drug selection list. Extracting drug review and drug review information such as drug interaction and repeated drug use in the recommended list after screening, and comparing with the drug history or drug in the patient information database, automatically excluding the existence of interaction, repeated drug use, etc. The drug used further generates a list of recommended drugs. For patients with incomplete medication information, the key information is confirmed by the doctor, pharmacist, clerk and patient, or confirmed by the patient, and then excluded.
根据本发明的另一个实施例,参照图5该工作流程进一步包括步骤110。According to another embodiment of the present invention, the workflow further includes step 110 with reference to FIG.
步骤110,对智能选药列表进行医疗保险审核。根据患者是否使用医疗保险以及患者医疗保险的规定,系统对推荐药品的医疗保险支付情况进行自动审核,并将需要患者自费支付的药品提交给患者进行选择,从而进一步生成推荐药品列表。Step 110: Perform a medical insurance review on the smart drug selection list. According to the patient's medical insurance and patient medical insurance regulations, the system automatically reviews the medical insurance payment of the recommended drugs, and submits the drugs that need to be paid by the patient to the patient for selection, thereby further generating a list of recommended drugs.
根据本发明的另一个实施例,参照图6该工作流程进一步包括步骤111。According to another embodiment of the present invention, the workflow further includes step 111 with reference to FIG.
步骤111,通过个性化筛选生成智能选药列表。根据治疗方案需要或患者对选择药品的其他参数的要求(如剂型、用药周期、用药频率、口感、药品厂家品牌、用户评价、价格、携带、储存等),由医生、药师、店员或由患者自行(OTC药品)选择筛选要素后,自动对生成的推荐药品列表进一步筛选,得出推荐药品列表,由医生、药师或店员、患者(购买OTC药品)选择。Step 111: Generate a smart drug selection list by personalized screening. According to the needs of the treatment plan or the patient's requirements for other parameters of the selected drug (such as dosage form, medication cycle, frequency of drug use, mouthfeel, brand of drug manufacturer, user evaluation, price, carrying, storage, etc.), by doctor, pharmacist, clerk or patient After selecting the screening elements by yourself (OTC drugs), the list of recommended drugs is automatically filtered to obtain a list of recommended drugs, which are selected by doctors, pharmacists or clerk, and patients (purchasing OTC drugs).
本领域技术人员,可以得知上述步骤中的108、109、110、111可以根据需要调整其先后顺序。Those skilled in the art can know that 108, 109, 110, 111 in the above steps can adjust their sequence as needed.
根据本发明的另一个实施例,参照图7该工作流程进一步包括步骤112。According to another embodiment of the present invention, the workflow further includes step 112 with reference to FIG.
步骤112,生成用法用量推荐信息。根据最终选择的药品的用法用量信息,与之前步骤中获取或确认的信息进行自动比对,推荐出较为适宜的用法用量,以方便医生、药师或店员、患者(购买OTC药品)进行确认。Step 112: Generate usage and usage recommendation information. According to the usage and dosage information of the finally selected drugs, the information obtained or confirmed in the previous steps is automatically compared, and the appropriate usage and dosage are recommended to facilitate the confirmation by the doctor, the pharmacist or the clerk, and the patient (purchasing the OTC drug).
图8为本发明的一个实施例,一种智能选药系统的功能结构示意图,该系统包括药品使用要素信息提取单元201,多维度属性项字典单元202,药品使用要素信息多维度处理单元203,患者用药相关要素信息提取单元204,患者用药相关要素信息多维度处理单元205,智能选药匹配比对单元206,适应症智能选药单元207。FIG. 8 is a schematic diagram showing the functional structure of an intelligent medicine selection system according to an embodiment of the present invention. The system includes a medicine use element information extraction unit 201, a multi-dimensional attribute item dictionary unit 202, and a medicine use element information multi-dimensional processing unit 203. The patient medication related element information extraction unit 204, the patient medication related element information multidimensional processing unit 205, the intelligent drug selection matching unit 206, and the indication intelligent selection unit 207.
药品使用要素信息提取单元201。用于提取每一种药品使用信息中适应症、用法用量适用条件、用药禁忌的相关医学或药学属性要素信息。药品使用信息来源于药品说明书、药典、国家处方集、治疗/用药指南、专家共识、以及各级医疗机构用药规定等。Drug use element information extracting unit 201. It is used to extract the information of the relevant medical or pharmaceutical attribute elements of indications, usage and dosage conditions, and medication contraindications in each medicine use information. Drug use information comes from drug instructions, pharmacopoeia, national formulary, treatment/drug guidelines, expert consensus, and medication regulations at all levels of medical institutions.
多维度属性项字典单元202,用于提供药品使用信息和患者用药信息中各项
医学或药学属性涉及的标准字典以及各不同来源异名与标准字典关联关系。药品适应症、用法用量适用条件、用药禁忌的信息中含有大量的不同医学或药学属性的数据,将这些数据根据其不同的医学或药学属性拆分到最小属性分项,同时保存各属性项之间的逻辑关系,并将各最小属性分项的数据与标准医学或药学属性项字典库关联,即可生成药品适应症、用法用量适用条件、用药禁忌各自对应的医学或药学属性信息的结构化标准数据库,建立多维度属性项字典单元。The multi-dimensional attribute item dictionary unit 202 is configured to provide each of the drug use information and the patient medication information.
Standard dictionaries involving medical or pharmaceutical attributes and associations between different sources of different names and standard dictionaries. Information on drug indications, usage and dosage, and contraindications for medication contain a large amount of data of different medical or pharmaceutical properties, and these data are separated into minimum attribute items according to their different medical or pharmaceutical properties, and each attribute item is saved. Between the logical relationship, and the data of each minimum attribute item is associated with the standard medical or pharmaceutical attribute item dictionary library, the structuring of the medical indications, the usage and dosage conditions, and the medical or pharmaceutical attribute information corresponding to the drug contraindications can be generated. A standard database that builds a multidimensional attribute item dictionary unit.
药品使用要素信息多维度处理单元203,用于根据多维度属性项字典对拆分后的药品各属性信息进行多维度处理。根据多维度属性项字典单元,还可以异名处理同一种疾病在不同医院的不同诊断名称,比如将阿尔茨海默病与老年痴呆进行异名统一处理;也可以异名处理同一药品的不同剂型和规格的商品,进而提高了关联匹配的准确性。The medicine use element information multi-dimensional processing unit 203 is configured to perform multi-dimensional processing on the split attribute information of the medicine according to the multi-dimensional attribute item dictionary. According to the multi-dimensional attribute item dictionary unit, different diagnostic names of the same disease in different hospitals can also be treated differently, for example, Alzheimer's disease and Alzheimer's disease are treated differently; different dosage forms of the same medicine can also be processed by different names. And the specification of the product, which in turn improves the accuracy of the association match.
患者用药相关要素信息提取单元204,用于提取患者用药时相关属性要素的实际信息。例如,包括患者性别、年龄、既往病史、疾病名称,病症等信息,尤其应包含患者所使用药品的药品使用信息中的必要信息。患者用药信息的来源为医生处方、治疗方案、用药方案、病历、病案、药历、检查结果、患者自述症状、患者自主选药等。The patient medication related element information extracting unit 204 is configured to extract actual information of related attribute elements at the time of patient medication. For example, it includes information such as the patient's gender, age, past medical history, disease name, and illness, and in particular, the necessary information in the drug use information of the drug used by the patient. The source of patient medication information is the doctor's prescription, treatment plan, medication plan, medical record, medical record, drug record, test result, patient's self-reported symptoms, and patient's self-selected drugs.
患者用药相关要素信息多维度处理单元205,根据多维度属性项字典对相关信息进行多维度处理。根据拆分后的信息查找属性项字典,进行多维度处理。The patient medication related element information multi-dimensional processing unit 205 performs multi-dimensional processing on the related information according to the multi-dimensional attribute item dictionary. Find the attribute item dictionary based on the split information and perform multi-dimensional processing.
智能选药匹配比对单元206。下面展示了一种生成关联匹配度的方式。The intelligent drug selection matching unit 206. The following shows a way to generate an association match.
具体的匹配比对公式描述如下:The specific matching comparison formula is described as follows:
某患者(Patient,简称Pa),其患者用药信息包括年龄:(age,简称ag)、性别(gender,简称gen)、所属特殊人群(special,简称spe)、症状(symptom,简称sym)、既有病史(history disease,简称his)、家族病史(family disease,简称fam)、过敏史(allergic history,简称ale)、其他状况(Other,简称Oth)等。该患者的身体状况为Pa(ag,gen,spe,sym,his,fam,ale,Oth)。A patient (Patient, referred to as Pa), the patient medication information includes age: (age, abbreviated as ag), gender (gender, referred to as gen), special group (special, referred to as spe), symptom (symptom, referred to as sym), both History disease (his), family disease (fam), allergic history (ale), other conditions (Other, referred to as Oth). The patient's physical condition is Pa (ag, gen, spe, sym, his, fam, ale, Oth).
某药品药物(Medicine,简称Med)Med,其药品使用信息中某条适应证为Med(xi),拆分结果为Med(xi(ag,gen,spe,sym,his,fam,ale,Oth))。Medi drug (Med) Med, one of the indications in the drug use information is Med(x i ), and the result of the split is Med(x i (ag, gen, spe, sym, his, fam, ale, Oth)).
此药物的某条适应证的年龄元素与该患者的用药信息中的年龄元素匹配结果为:The age element of an indication for this drug matches the age element in the patient's medication information:
此药物的某条适应证与该患者的患者用药信息匹配结果为:
The match between the indication of the drug and the patient's medication information for the patient is:
患者Pa,是否能够使用本药物Med的结果为:Patient Pa, whether the result of using this drug Med is:
适应症智能选药单元207,通过适应症选药生成智能选药列表。符合匹配规则的药品进入适应症符合的待选药品目录,供选择。The indication intelligent medicine selection unit 207 generates an intelligent drug selection list through the indication selection medicine. Drugs that meet the matching rules enter the list of drugs to be selected for the indications.
根据本发明的另一个实施例,参照图9,该工作流程进一步包括药物单项审核维度排除不适宜药品智能选药单元208。In accordance with another embodiment of the present invention, referring to FIG. 9, the workflow further includes a drug single item review dimension exclusion of the unsuitable drug smart drug selection unit 208.
药物单项审核维度排除不适宜药品智能选药单元208。提取筛选出列表的药品用药禁忌、致敏成分等不适宜使用的单项审核信息,与患者用药信息库数据进行比对,系统自动排除存在不适宜使用情况的药品,进一步生成推荐药品列表。对于用药信息不全的患者,系统提示关键信息由医生、药师、店员与患者确认或有患者自行确认,再进行排除。The drug single item review dimension excludes the unsuitable drug smart drug selection unit 208. The single-item audit information that is unsuitable for use, such as drug contraindications and sensitizing components, is selected and compared with the patient drug information database data, and the system automatically excludes drugs that are unsuitable for use, and further generates a list of recommended drugs. For patients with incomplete medication information, the system prompts the key information to be confirmed by the doctor, pharmacist, clerk and patient, or the patient confirms it and then excludes it.
根据本发明的另一个实施例,参照图10该工作流程进一步包括药物重整审核维度排除不适宜药品智能选药单元209。According to another embodiment of the present invention, the workflow further includes a drug reforming review dimension exclusion of the unsuitable drug smart drug selection unit 209 with reference to FIG.
动态排除不适宜药品智能选药单元209,重整审核排除不适宜药品生成智能选药列表。提取筛选后可供推荐的推荐列表的药品相互作用、重复用药等药物重整审核信息,与患者信息库数据中用药史或在服药品进行比对,自动排除存在相互作用、重复用药等不适宜使用的药品,进一步生成推荐药品列表。对于用药信息不全的患者,提示关键信息由医生、药师、店员与患者确认或由患者自行确认,再进行排除。The unsuitable drug intelligent drug selection unit 209 is dynamically excluded, and the reorganization review excludes the unsuitable drug generation intelligent drug selection list. Extracting drug review and drug review information such as drug interaction and repeated drug use in the recommended list after screening, and comparing with the drug history or drug in the patient information database, automatically excluding the existence of interaction, repeated drug use, etc. The drug used further generates a list of recommended drugs. For patients with incomplete medication information, the key information is confirmed by the doctor, pharmacist, clerk and patient, or confirmed by the patient, and then excluded.
根据本发明的另一个实施例,参照图11该工作流程进一步包括医疗保险审核单元210。According to another embodiment of the present invention, the workflow further includes a medical insurance review unit 210 with reference to FIG.
医疗保险审核单元210,对智能选药列表进行医疗保险审核。根据患者是否使用医疗保险以及患者医疗保险的规定,系统对推荐药品的医疗保险支付情况进行自动审核,并将需要患者自费支付的药品提交给患者进行选择,从而进一步生成推荐药品列表。The medical insurance review unit 210 performs a medical insurance review on the smart drug selection list. According to the patient's medical insurance and patient medical insurance regulations, the system automatically reviews the medical insurance payment of the recommended drugs, and submits the drugs that need to be paid by the patient to the patient for selection, thereby further generating a list of recommended drugs.
根据本发明的另一个实施例,参照图12该工作流程进一步包括个性化筛选智能选药单元211。
According to another embodiment of the present invention, the workflow further includes personalizing the screening smart selection unit 211 with reference to FIG.
个性化筛选智能选药单元211,通过个性化筛选生成智能选药列表。根据治疗方案需要或患者对选择药品的其他参数的要求(如剂型、用药周期、用药频率、口感、药品厂家品牌、用户评价、价格、携带、储存等),由医生、药师、店员或由患者自行(OTC药品)选择筛选要素后,自动对生成的推荐药品列表进一步筛选,得出推荐药品列表,由医生、药师或店员、患者(购买OTC药品)选择。The intelligent screening drug selection unit 211 is personalized to generate an intelligent drug selection list through personalized screening. According to the needs of the treatment plan or the patient's requirements for other parameters of the selected drug (such as dosage form, medication cycle, frequency of drug use, mouthfeel, brand of drug manufacturer, user evaluation, price, carrying, storage, etc.), by doctor, pharmacist, clerk or patient After selecting the screening elements by yourself (OTC drugs), the list of recommended drugs is automatically filtered to obtain a list of recommended drugs, which are selected by doctors, pharmacists or clerk, and patients (purchasing OTC drugs).
本领域技术人员,可以得知上述的208单元、209单元、210单元、211单元可以根据需要调整其先后顺序。Those skilled in the art can know that the above 208 units, 209 units, 210 units, and 211 units can be adjusted according to their needs.
根据本发明的另一个实施例,参照图13该工作流程进一步包括用法用量推荐单元212。According to another embodiment of the present invention, the workflow further includes a usage usage recommendation unit 212 with reference to FIG.
用法用量推荐单元212,生成用法用量推荐信息。根据最终选择的药品的用法用量信息,与之前步骤中获取或确认的信息进行自动比对,推荐出较为适宜的用法用量,以方便医生、药师或店员、患者(购买OTC药品)进行确认。The usage and dosage recommendation unit 212 generates usage and usage recommendation information. According to the usage and dosage information of the finally selected drugs, the information obtained or confirmed in the previous steps is automatically compared, and the appropriate usage and dosage are recommended to facilitate the confirmation by the doctor, the pharmacist or the clerk, and the patient (purchasing the OTC drug).
本发明的进一步提供一种智能选药设备,该设备包括药品使用要素信息提取模块,多维度属性项字典模块,药品使用要素信息多维度处理模块,患者用药相关要素信息提取模块,患者用药相关要素信息多维度处理模块,智能选药匹配比对模块,适应症智能选药模块。The invention further provides an intelligent drug selection device, which comprises a drug use element information extraction module, a multi-dimensional attribute item dictionary module, a drug use element information multi-dimensional processing module, a patient medication related element information extraction module, and a patient medication related element. Information multi-dimensional processing module, intelligent drug selection matching module, indication intelligent drug selection module.
药品使用要素信息提取模块,用于提取每一种药品使用信息中适应症、用法用量适用条件、用药禁忌的相关医学或药学属性要素信息。药品使用信息来源于药品说明书、药典、国家处方集、治疗/用药指南、专家共识、以及各级医疗机构用药规定等。The medicine use element information extraction module is used for extracting information about the indications, the usage and dosage conditions, and the medical or pharmaceutical attribute elements of the medication contraindications for each medicine use information. Drug use information comes from drug instructions, pharmacopoeia, national formulary, treatment/drug guidelines, expert consensus, and medication regulations at all levels of medical institutions.
多维度属性项字典模块,用于提供药品使用信息和患者用药信息中各项医学或药学属性涉及的标准字典以及各不同来源异名与标准字典关联关系。药品适应症、用法用量适用条件、用药禁忌的信息中含有大量的不同医学或药学属性的数据,将这些数据根据其不同的医学或药学属性拆分到最小属性分项,同时保存各属性项之间的逻辑关系,并将各最小属性分项的数据与标准医学或药学属性项字典库关联,即可生成药品适应症、用法用量适用条件、用药禁忌各自对应的医学或药学属性信息的结构化标准数据库,建立多维度属性项字典模块。The multi-dimensional attribute item dictionary module is configured to provide a standard dictionary related to various medical or pharmaceutical attributes in the drug use information and the patient medication information, and a relationship between the different source synonyms and the standard dictionary. Information on drug indications, usage and dosage, and contraindications for medication contain a large amount of data of different medical or pharmaceutical properties, and these data are separated into minimum attribute items according to their different medical or pharmaceutical properties, and each attribute item is saved. Between the logical relationship, and the data of each minimum attribute item is associated with the standard medical or pharmaceutical attribute item dictionary library, the structuring of the medical indications, the usage and dosage conditions, and the medical or pharmaceutical attribute information corresponding to the drug contraindications can be generated. Standard database, establish a multi-dimensional attribute item dictionary module.
药品使用要素信息多维度处理模块,用于根据多维度属性项字典对拆分后的药品各属性信息进行多维度处理。根据多维度属性项字典模块,还可以异名处理同一种疾病在不同医院的不同诊断名称,比如将阿尔茨海默病与老年痴呆进行异名统一处理;也可以异名处理同一药品的不同剂型和规格的商品,进而提高了关联匹配的准确性。The multi-dimensional processing module of the medicine use element information is used for multi-dimensional processing of the separated attribute information of the medicine according to the multi-dimensional attribute item dictionary. According to the multi-dimensional attribute item dictionary module, different diagnostic names of the same disease in different hospitals can also be treated differently, for example, Alzheimer's disease and Alzheimer's disease are treated differently; different dosage forms of the same drug can also be processed by different names. And the specification of the product, which in turn improves the accuracy of the association match.
患者用药相关要素信息提取模块,用于提取患者用药时相关属性要素的实际信息。例如,包括患者性别、年龄、既往病史、疾病名称,病症等信息,尤其应包含患者所使用药品的药品使用信息中的必要信息。患者用药信息的来源为医生处方、治疗方案、用药方案、病历、病案、药历、检查结果、患者自述症状、患者自主选药等。The patient medication related element information extraction module is used to extract the actual information of the relevant attribute elements when the patient takes medication. For example, it includes information such as the patient's gender, age, past medical history, disease name, and illness, and in particular, the necessary information in the drug use information of the drug used by the patient. The source of patient medication information is the doctor's prescription, treatment plan, medication plan, medical record, medical record, drug record, test result, patient's self-reported symptoms, and patient's self-selected drugs.
患者用药相关要素信息多维度处理模块,根据多维度属性项字典对相关信息进行多维度处理。根据拆分后的信息查找属性项字典,进行多维度处理。The patient medication related element information multi-dimensional processing module performs multi-dimensional processing on the related information according to the multi-dimensional attribute item dictionary. Find the attribute item dictionary based on the split information and perform multi-dimensional processing.
智能选药匹配比对模块。下面展示了一种生成关联匹配度的方式。Intelligent drug selection matching module. The following shows a way to generate an association match.
具体的匹配比对公式描述如下:The specific matching comparison formula is described as follows:
某患者(Patient,简称Pa),其患者用药信息包括年龄:(age,简称ag)、
性别(gender,简称gen)、所属特殊人群(special,简称spe)、症状(symptom,简称sym)、既有病史(history disease,简称his)、家族病史(family disease,简称fam)、过敏史(allergic history,简称ale)、其他状况(Other,简称Oth)等。该患者的身体状况为Pa(ag,gen,spe,sym,his,fam,ale,Oth)。A patient (Patient, referred to as Pa), whose patient medication information includes age: (age, abbreviated as ag),
Gender (gen, gen), special (spe), symptom (symptom, sym), history disease (his), family disease (fam) Allergic history (referred to as ale), other conditions (Other, referred to as Oth). The patient's physical condition is Pa (ag, gen, spe, sym, his, fam, ale, Oth).
某药品药物(Medicine,简称Med)Med,其药品使用信息中某条适应证为Med(xi),拆分结果为med(xi(ag,gen,spe,sym,his,fam,ale,Oth))。Medi drug (Med) Med, an indication of drug use information is Med(x i ), and the result of the split is med(x i (ag, gen, spe, sym, his, fam, ale, Oth)).
此药物的某条适应证的年龄元素与该患者的用药信息中的年龄元素匹配结果为:The age element of an indication for this drug matches the age element in the patient's medication information:
此药物的某条适应证与该患者的患者用药信息匹配结果为:The match between the indication of the drug and the patient's medication information for the patient is:
患者Pa,是否能够使用本药物Med的结果为:Patient Pa, whether the result of using this drug Med is:
适应症智能选药模块,通过适应症选药生成智能选药列表。符合匹配规则的药品进入适应症符合的待选药品目录,供选择。Indications intelligent drug selection module, through the selection of drugs to generate intelligent drug selection list. Drugs that meet the matching rules enter the list of drugs to be selected for the indications.
根据本发明的另一个实施例,该设备进一步包括根据药物单项审核维度排除不适宜药品智能选药模块。
In accordance with another embodiment of the present invention, the apparatus further includes excluding an unsuitable pharmaceutical intelligent drug selection module based on a drug individual review dimension.
药物单项审核排除不适宜药品智能选药模块,提取筛选出列表的药品用药禁忌、致敏成分等不适宜使用的静态信息,与患者用药信息库数据进行比对,设备自动排除存在不适宜使用情况的药品,进一步生成推荐药品列表。对于用药信息不全的患者,设备提示关键信息由医生、药师、店员与患者确认或有患者自行确认,再进行排除。The drug single-item review excludes the unsuitable drug intelligent drug selection module, extracts the static information that is unsuitable for use, such as drug contraindications and sensitizing components, and compares it with the patient drug information database data. The device automatically excludes the unsuitable use situation. The drug further generates a list of recommended drugs. For patients with incomplete medication information, the device prompts key information to be confirmed by the doctor, pharmacist, clerk and patient, or the patient confirms it and then excludes it.
根据本发明的另一个实施例,该设备进一步包括药物重整审核排除不适宜药品智能选药模块。In accordance with another embodiment of the present invention, the apparatus further includes a drug reforming review to exclude an unsuitable drug intelligent drug selection module.
药物重整审核排除不适宜药品智能选药模块,提取筛选后可供推荐的推荐列表的药品相互作用、重复用药等动态信息,与患者信息库数据中用药史或在服药品进行比对,自动排除存在相互作用、重复用药等不适宜使用的药品,进一步生成推荐药品列表。对于用药信息不全的患者,提示关键信息由医生、药师、店员与患者确认或由患者自行确认,再进行排除。The drug reforming review excludes the unsuitable drug intelligent drug selection module, extracts the dynamic information such as drug interaction and repeated drug use for the recommended recommendation list after screening, and compares with the drug history or the drug in the patient information database data, automatically Exclude drugs that are not suitable for use, such as interactions and repeated medications, and further generate a list of recommended drugs. For patients with incomplete medication information, the key information is confirmed by the doctor, pharmacist, clerk and patient, or confirmed by the patient, and then excluded.
根据本发明的另一个实施例,该设备进一步包括医疗保险审核模块。According to another embodiment of the invention, the device further comprises a medical insurance review module.
医疗保险审核模块,对智能选药列表进行医疗保险审核。根据患者是否使用医疗保险以及患者医疗保险的规定,设备对推荐药品的医疗保险支付情况进行自动审核,并将需要患者自费支付的药品提交给患者进行选择,从而进一步生成推荐药品列表。The medical insurance review module conducts medical insurance review on the smart drug selection list. According to the patient's medical insurance and patient medical insurance regulations, the device automatically reviews the medical insurance payment for the recommended drugs, and submits the drugs that need to be paid by the patient to the patient for selection, thereby further generating a list of recommended drugs.
根据本发明的另一个实施例,该设备进一步包括个性化筛选智能选药模块。According to another embodiment of the invention, the apparatus further comprises a personalized screening intelligent drug selection module.
个性化筛选智能选药模块,通过个性化筛选生成智能选药列表。根据治疗方案需要或患者对选择药品的其他参数的要求(如剂型、用药周期、用药频率、口感、药品厂家品牌、用户评价、价格、携带、储存等),由医生、药师、店员或由患者自行(OTC药品)选择筛选要素后,自动对生成的推荐药品列表进一步筛选,得出推荐药品列表,由医生、药师或店员、患者(购买OTC药品)选择。Personalized screening of intelligent drug selection modules to generate intelligent drug selection lists through personalized screening. According to the needs of the treatment plan or the patient's requirements for other parameters of the selected drug (such as dosage form, medication cycle, frequency of drug use, mouthfeel, brand of drug manufacturer, user evaluation, price, carrying, storage, etc.), by doctor, pharmacist, clerk or patient After selecting the screening elements by yourself (OTC drugs), the list of recommended drugs is automatically filtered to obtain a list of recommended drugs, which are selected by doctors, pharmacists or clerk, and patients (purchasing OTC drugs).
本领域技术人员,可以得知上述的静态排除不适宜药品智能选药模块、动态排除不适宜药品智能选药模块、医疗保险审核模块、个性化筛选智能选药模块可以根据需要调整其先后顺序。Those skilled in the art can know that the above-mentioned static exclusion unsuitable drug intelligent drug selection module, dynamic exclusion of unsuitable drug intelligent drug selection module, medical insurance examination module, and personalized screening intelligent drug selection module can be adjusted according to needs.
根据本发明的另一个实施例,该设备进一步包括用法用量推荐模块。According to another embodiment of the invention, the apparatus further includes a usage and dosage recommendation module.
用法用量推荐模块,生成用法用量推荐信息。根据最终选择的药品的用法用量信息,与之前步骤中获取或确认的信息进行自动比对,推荐出较为适宜的用法用量,以方便医生、药师或店员、患者(购买OTC药品)进行确认。Usage and usage recommendation module, generate usage and usage recommendation information. According to the usage and dosage information of the finally selected drugs, the information obtained or confirmed in the previous steps is automatically compared, and the appropriate usage and dosage are recommended to facilitate the confirmation by the doctor, the pharmacist or the clerk, and the patient (purchasing the OTC drug).
以上对本发明的具体实施例进行了描述。需要理解的是,本发明并不局限于上述特定实施方式,本领域技术人员可以在权利要求的范围内做出各种变形或修改,这并不影响本发明的实质内容。
The specific embodiments of the present invention have been described above. It is to be understood that the invention is not limited to the specific embodiments described above, and various modifications and changes may be made by those skilled in the art without departing from the scope of the invention.
Claims (61)
- 一种智能选药的方法,其特征在于,所述方法包括:A method for intelligent drug selection, characterized in that the method comprises:建立多维度属性项字典;Create a dictionary of multi-dimensional attribute items;提取药品使用要素信息;Extracting drug use element information;根据多维度属性项字典对药品使用要素信息进行处理;Processing the drug use element information according to the multi-dimensional attribute item dictionary;提取患者用药相关要素信息;Extracting information about the relevant elements of the patient's medication;根据多维度属性项字典对患者用药相关要素信息进行处理;Processing the drug related factor information according to the multi-dimensional attribute item dictionary;将药品使用要素信息与患者用药相关要素信息中各属性项信息进行智能选药匹配比对;The intelligent drug selection matching is performed by comparing the information of the drug use element with the information of each attribute item in the information related to the drug use of the patient;生成智能选药列表。Generate a smart drug list.
- 根据权利要求1的智能选药方法,其特征在于,多维度属性项字典,根据用药信息的医学或药学属性结构及各属性定义建立。The intelligent drug selection method according to claim 1, characterized in that the multi-dimensional attribute item dictionary is established based on the medical or pharmaceutical attribute structure of the medication information and the definition of each attribute.
- 根据权利要求2的智能选药方法,其特征在于,多维度属性项字典,用于提供药品使用信息和患者用药信息中各项医学或药学属性涉及的标准字典。The intelligent drug selection method according to claim 2, characterized in that the multi-dimensional attribute item dictionary is used to provide a standard dictionary related to various medical or pharmaceutical attributes in the drug use information and the patient medication information.
- 根据权利要求2的智能选药方法,其特征在于,多维度属性项字典,用于提供药品使用信息和患者用药信息中各项医学或药学属性不同来源异名与标准字典关联关系。The intelligent drug selection method according to claim 2, characterized in that the multi-dimensional attribute item dictionary is used for providing a drug dictionary use information and a drug dictionary information, and different medical source or drug attribute different origins are associated with a standard dictionary.
- 根据权利要求2的智能选药方法,其特征在于,多维度属性项字典,根据不同的医学或药学属性将药品使用信息拆分到最小属性分项,同时保存各属性项之间的逻辑关系,并将各最小属性分项的数据与标准医学或药学属性项字典库关联。The intelligent drug selection method according to claim 2, wherein the multi-dimensional attribute item dictionary splits the drug use information into minimum attribute items according to different medical or pharmaceutical attributes, and saves the logical relationship between the attribute items. The data of each minimum attribute item is associated with a standard medical or pharmaceutical attribute item dictionary library.
- 根据权利要求5的智能选药方法,其特征在于,多维度属性项字典中涉及的医学属性项至少包括:患者的人群相关属性、患者的特殊人群相关属性、患者的疾病相关属性、患者的症状相关属性、患者的既往病史相关属性、患者的操作相关属性、患者的个人生活史相关属性、患者的生理状态相关属性、患者的检查指标相关属性等的其中至少一个维度。The intelligent drug selection method according to claim 5, wherein the medical attribute items involved in the multi-dimensional attribute item dictionary include at least: a population-related attribute of the patient, a specific attribute of the patient, a disease-related attribute of the patient, and a symptom of the patient. At least one of the relevant attributes, the patient's past medical history related attributes, the patient's operational related attributes, the patient's personal life history related attributes, the patient's physiological state related attributes, the patient's examination index related attributes, and the like.
- 根据权利要求5的智能选药方法,其特征在于,多维度属性项字典中涉及的药学属性项至少包括:用药目的相关属性、药品成分的相关属性、药品规格包装的相关属性、药品适应症的相关属性、药品用法用量的相关属性、药品给药途径的相关属性、药品禁忌症的相关属性、药品不良反应的相关属性、药品注意事项的相关属性以及患者过敏史相关属性、患者用药史相关属性、患者用药的给药途径相关属性、患者用药相关基因属性等的其中至少一个维度。The intelligent drug selection method according to claim 5, wherein the pharmaceutical attribute items involved in the multi-dimensional attribute item dictionary include at least: a property related to the purpose of the drug, a related attribute of the drug component, a related attribute of the drug specification package, and a drug indication. Relevant attributes, related attributes of drug usage and dosage, related attributes of drug administration routes, related attributes of drug contraindications, related attributes of adverse drug reactions, related attributes of drug precautions, related attributes of patient allergy history, and related attributes of patient medication history At least one dimension of the drug-related route of administration, the drug-related gene attribute of the patient, and the like.
- 根据权利要求1的智能选药方法,其特征在于,通过适应症选药生成智能选药列表。The intelligent drug selection method according to claim 1, characterized in that the smart drug selection list is generated by the indication drug selection.
- 根据权利要求8的智能选药方法,其特征在于,该方法进一步包括通过药物单项审核排除不适宜药品生成智能选药列表。The intelligent drug selection method according to claim 8, characterized in that the method further comprises generating an intelligent drug selection list by unsuitable drug by a single drug review.
- 根据权利要求9的智能选药方法,其特征在于,该方法进一步包括通过药物重整审核排除不适宜药品生成智能选药列表。The intelligent drug selection method according to claim 9, wherein the method further comprises excluding an unsuitable drug to generate an intelligent drug selection list by a drug reforming review.
- 根据权利要求10的智能选药方法,其特征在于,该方法进一步包括对智能选药列表进行医疗保险审核。The intelligent drug selection method according to claim 10, characterized in that the method further comprises performing a medical insurance review on the smart drug selection list.
- 根据权利要求11的智能选药方法,其特征在于,该方法进一步包括通过个 性化筛选生成智能选药列表。The intelligent drug selection method according to claim 11, wherein the method further comprises Sexual screening generates a smart drug list.
- 根据权利要求12的智能选药方法,其特征在于,该方法进一步包括生成用法用量推荐信息。The intelligent drug selection method according to claim 12, wherein the method further comprises generating usage amount recommendation information.
- 根据权利要求1-13中任意一项的智能选药方法,其特征在于,提取药品使用信息,用于提取每一种药品使用信息中适应症、用法用量适用条件、用药禁忌的相关医学/药学属性要素信息。The intelligent drug selection method according to any one of claims 1 to 13, characterized in that the drug use information is extracted for extracting the indications, the usage and dosage conditions, and the contraindications for drug use in each drug use information. Attribute element information.
- 根据权利要求14的智能选药方法,其特征在于,药品使用信息来源于药品说明书、药典、国家处方集、治疗/用药指南、专家共识、以及各级医疗机构用药规定等的其中至少之一。The intelligent drug selection method according to claim 14, wherein the drug use information is derived from at least one of a drug product specification, a pharmacopoeia, a national formulary, a treatment/drug guide, an expert consensus, and a prescription for administration of medical institutions at various levels.
- 根据权利要求1-13中任意一项的智能选药方法,其特征在于,提取患者用药相关信息,用于提取患者用药时相关属性要素的实际信息。The intelligent drug selection method according to any one of claims 1 to 13, characterized in that the patient medication related information is extracted for extracting actual information of relevant attribute elements when the patient takes the medicine.
- 根据权利要求16的智能选药方法,其特征在于,患者用药信息的来源为医生处方、治疗方案、用药方案、病历、病案、药历、检查结果、患者自述症状、患者自主选药等其中的至少之一。The intelligent drug selection method according to claim 16, wherein the source of the patient medication information is a doctor prescription, a treatment plan, a medication plan, a medical record, a medical record, a medical record, an examination result, a patient self-reported symptom, a patient self-selection drug, and the like. At least one.
- 根据权利要求1-13中任意一项的智能选药方法,其特征在于,生成匹配比对结果的方式为,The intelligent drug selection method according to any one of claims 1 to 13, characterized in that the manner of generating a matching comparison result is此药物的某条适应证的年龄元素与该患者的用药信息中的年龄元素匹配结果为:The age element of an indication for this drug matches the age element in the patient's medication information:此药物的某条适应证与该患者的患者用药信息匹配结果为:The match between the indication of the drug and the patient's medication information for the patient is:患者Pa,是否能够使用本药物Med的结果为:Patient Pa, whether the result of using this drug Med is:其中,某患者(Patient,简称Pa),其患者用药信息包括年龄:(age,简 称ag)、性别(gender,简称gen)、所属特殊人群(special,简称spe)、症状(symptom,简称sym)、既有病史(history disease,简称his)、家族病史(family disease,简称fam)、过敏史(allergic history,简称ale)、其他状况(Other,简称Oth)等。该患者的身体状况为Pa(ag,gen,spe,sym,his,fam,ale,Oth)。Among them, a patient (Patient, referred to as Pa), the patient medication information includes age: (age, Jane Called ag), gender (gender, referred to as gen), special population (special, referred to as spe), symptom (symptom, referred to as sym), history disease (his), family disease (family disease, referred to as fam) Allergic history (ale), other conditions (Other, referred to as Oth). The patient's physical condition is Pa (ag, gen, spe, sym, his, fam, ale, Oth).某药品药物(Medicine,简称Med)Med,其药品使用信息中某条适应证为Med(xi),拆分结果为Med(xi(ag,gen,spe,sym,his,fam,ale,Oth))。Medi drug (Med) Med, one of the indications in the drug use information is Med(x i ), and the result of the split is Med(x i (ag, gen, spe, sym, his, fam, ale, Oth)).
- 根据权利要求1-13中任意一项的智能选药方法,其特征在于,通过静态排除不适宜药品生成智能选药列表、通过动态排除不适宜药品生成智能选药列表、对智能选药列表进行医疗保险审核、通过个性化筛选生成智能选药列表的先后顺序可以根据进行调整。The intelligent drug selection method according to any one of claims 1 to 13, characterized in that the smart drug selection list is generated by statically eliminating unsuitable drugs, the intelligent drug selection list is generated by dynamically excluding unsuitable drugs, and the smart drug selection list is performed. The order of medical insurance audits and the generation of intelligent drug selection lists through personalized screening can be adjusted according to the order.
- 根据权利要求1-13中任意一项的智能选药方法,其特征在于,该方法可用于医生处方推荐药品、药师制定用药方案、患者自主选择药品(OTC)、辅助选择药品及用法用量的药学智能系统其中至少一项。The intelligent drug selection method according to any one of claims 1 to 13, characterized in that the method can be used for recommending drugs for doctors, formulating drug plans for pharmacists, selecting drugs for patients (OTC), assisting drug selection, and pharmacy for usage and dosage. At least one of the intelligent systems.
- 一种智能选药的系统,其特征在于,所述系统包括:A system for intelligent drug selection, characterized in that the system comprises:药品使用要素信息提取单元,用于提取药品使用要素信息;a drug use element information extracting unit for extracting drug use element information;多维度属性项字典单元,用于提供多维度属性项字典;a multi-dimensional attribute item dictionary unit for providing a multi-dimensional attribute item dictionary;药品使用要素信息多维度处理单元,根据多维度属性项字典单元对药品使用要素信息进行处理;The multi-dimensional processing unit of the medicine use element information processes the medicine use element information according to the multi-dimensional attribute item dictionary unit;患者用药相关要素信息提取单元,用于提取患者用药相关要素信息;The patient medication related element information extraction unit is configured to extract information about the patient medication related elements;患者用药相关要素信息多维度处理单元,根据多维度属性项字典单元对患者用药相关要素信息进行处理;The multi-dimensional processing unit for patient medication related element information processes the information related to the patient medication according to the multi-dimensional attribute item dictionary unit;智能选药匹配比对单元,将药品使用要素信息与患者用药相关要素信息中各属性项信息的进行智能选药匹配比对;The intelligent drug selection matching unit compares the drug use element information with the information of each attribute item in the patient drug related element information for intelligent drug selection and matching;智能选药单元,生成智能选药列表。The intelligent drug selection unit generates a smart drug selection list.
- 根据权利要求21的智能选药系统,其特征在于,多维度属性项字典单元,根据用药信息的医学或药学属性结构及各属性定义建立。The intelligent drug selection system according to claim 21, wherein the multi-dimensional attribute item dictionary unit is established based on a medical or pharmaceutical attribute structure of the medication information and each attribute definition.
- 根据权利要求22的智能选药系统,其特征在于,多维度属性项字典单元,用于提供药品使用信息和患者用药信息中各项医学或药学属性涉及的标准字典。The intelligent drug selection system according to claim 22, wherein the multi-dimensional attribute item dictionary unit is configured to provide a standard dictionary related to each medical or pharmaceutical attribute in the drug use information and the patient medication information.
- 根据权利要求22的智能选药系统,其特征在于,多维度属性项字典单元,用于提供药品使用信息和患者用药信息中各项医学或药学属性不同来源异名与标准字典关联关系。The intelligent drug selection system according to claim 22, wherein the multi-dimensional attribute item dictionary unit is configured to provide a different dictionary name relationship between the medical source and the pharmaceutical drug information in the drug use information and the patient medication information.
- 根据权利要求22的智能选药系统,其特征在于,多维度属性项字典单元, 根据不同的医学或药学属性将药品使用信息拆分到最小属性分项,同时保存各属性项之间的逻辑关系,并将各最小属性分项的数据与标准医学或药学属性项字典库关联。The intelligent drug selection system according to claim 22, wherein the multi-dimensional attribute item dictionary unit, The drug use information is split into minimum attribute items according to different medical or pharmaceutical attributes, and the logical relationship between the attribute items is saved, and the data of each minimum attribute item is associated with the standard medical or pharmaceutical attribute item dictionary library.
- 根据权利要求25的智能选药系统,其特征在于,多维度属性项字典中涉及的医学属性项至少包括:患者的人群相关属性、患者的特殊人群相关属性、患者的疾病相关属性、患者的症状相关属性、患者的既往病史相关属性、患者的操作相关属性、患者的个人生活史相关属性、患者的生理状态相关属性、患者的检查指标相关属性等的其中至少一个维度。The intelligent drug selection system according to claim 25, wherein the medical attribute items involved in the multi-dimensional attribute item dictionary include at least: a population-related attribute of the patient, a special population-related attribute of the patient, a disease-related attribute of the patient, and a symptom of the patient At least one of the relevant attributes, the patient's past medical history related attributes, the patient's operational related attributes, the patient's personal life history related attributes, the patient's physiological state related attributes, the patient's examination index related attributes, and the like.
- 根据权利要求25的智能选药系统,其特征在于,多维度属性项字典中涉及的药学属性项至少包括:用药目的相关属性、药品成分的相关属性、药品规格包装的相关属性、药品适应症的相关属性、药品用法用量的相关属性、药品给药途径的相关属性、药品禁忌症的相关属性、药品不良反应的相关属性、药品注意事项的相关属性以及患者过敏史相关属性、患者用药史相关属性、患者用药的给药途径相关属性、患者用药相关基因属性等的其中至少一个维度。The intelligent drug selection system according to claim 25, wherein the pharmacy attribute items involved in the multi-dimensional attribute item dictionary include at least: a property related to the purpose of the drug, a related attribute of the drug component, a related attribute of the drug specification package, and a drug indication. Relevant attributes, related attributes of drug usage and dosage, related attributes of drug administration routes, related attributes of drug contraindications, related attributes of adverse drug reactions, related attributes of drug precautions, related attributes of patient allergy history, and related attributes of patient medication history At least one dimension of the drug-related route of administration, the drug-related gene attribute of the patient, and the like.
- 根据权利要求21的智能选药系统,其特征在于,通过适应症选药生成智能选药列表。The intelligent drug selection system according to claim 21, wherein the smart drug selection list is generated by the indication drug selection.
- 根据权利要求28的智能选药系统,其特征在于,该方法进一步包括药物单项审核排除不适宜药品智能选药单元。The intelligent drug selection system according to claim 28, wherein the method further comprises a drug individual review to exclude an unsuitable drug intelligent drug selection unit.
- 根据权利要求29的智能选药系统,其特征在于,该方法进一步包括药物重整审核排除不适宜药品智能选药单元。The intelligent drug selection system according to claim 29, wherein the method further comprises the drug reforming review to exclude the unsuitable drug intelligent drug selection unit.
- 根据权利要求30的智能选药系统,其特征在于,该方法进一步包括医疗保险审核单元。The intelligent drug selection system of claim 30, wherein the method further comprises a medical insurance review unit.
- 根据权利要求31的智能选药系统,其特征在于,该方法进一步包括个性化筛选智能选药单元。The intelligent drug selection system of claim 31, wherein the method further comprises personalizing the screening of the intelligent drug selection unit.
- 根据权利要求32的智能选药系统,其特征在于,该方法进一步包括用法用量推荐单元。The intelligent drug selection system according to claim 32, wherein the method further comprises a usage amount recommendation unit.
- 根据权利要求21-33中任意一项的智能选药系统,其特征在于,药品使用要素信息提取单元,用于提取每一种药品使用信息中适应症、用法用量适用条件、用药禁忌的相关医学/药学属性要素信息。The intelligent drug selection system according to any one of claims 21 to 33, characterized in that the medicine use element information extracting unit is configured to extract an indication for each type of drug use information, an applicable condition for usage and dosage, and a related medicine for contraindications /Pharmaceutical attribute element information.
- 根据权利要求34的智能选药系统,其特征在于,药品使用信息来源于药品说明书、药典、国家处方集、治疗/用药指南、专家共识、以及各级医疗机构用药规定等的其中至少之一。The intelligent drug selection system according to claim 34, wherein the drug use information is derived from at least one of a drug product specification, a pharmacopoeia, a national formulary, a treatment/drug guide, an expert consensus, and a prescription for administration of medical institutions at various levels.
- 根据权利要求21-33中任意一项的智能选药系统,其特征在于,患者用药相关信息提取单元,用于提取患者用药时相关属性要素的实际信息。The intelligent drug selection system according to any one of claims 21 to 33, characterized in that the patient medication-related information extraction unit is configured to extract actual information of relevant attribute elements when the patient takes medication.
- 根据权利要求36的智能选药系统,其特征在于,患者用药信息的来源为医生处方、治疗方案、用药方案、病历、病案、药历、检查结果、患者自述症状、患者自主选药等其中的至少之一。The intelligent drug selection system according to claim 36, wherein the source of the patient medication information is a doctor prescription, a treatment plan, a medication plan, a medical record, a medical record, a medical record, an examination result, a patient self-reported symptom, a patient self-selection drug, and the like. At least one.
- 根据权利要求21-33中任意一项的智能选药系统,其特征在于,生成匹配比对结果的方式为,The intelligent drug selection system according to any one of claims 21 to 33, wherein the manner of generating a matching comparison result is此药物的某条适应证的年龄元素与该患者的用药信息中的年龄元素匹配结果为: The age element of an indication for this drug matches the age element in the patient's medication information:此药物的某条适应证与该患者的患者用药信息匹配结果为:The match between the indication of the drug and the patient's medication information for the patient is:患者Pa,是否能够使用本药物Med的结果为:Patient Pa, whether the result of using this drug Med is:其中,某患者(Patient,简称Pa),其患者用药信息包括年龄:(age,简称ag)、性别(gender,简称gen)、所属特殊人群(special,简称spe)、症状(symptom,简称sym)、既有病史(history disease,简称his)、家族病史(family disease,简称fam)、过敏史(allergic history,简称ale)、其他状况(Other,简称Oth)等。该患者的身体状况为PA(ag,gen,spe,sym,his,fam,ale,Oth)。Among them, a patient (Patient, referred to as Pa), the patient medication information includes age: (age, abbreviated as ag), gender (gender, referred to as gen), special group (special, referred to as spe), symptom (symptom, referred to as sym) There are both history (his), family disease (fam), allergic history (ale), and other conditions (Other, referred to as Oth). The patient's physical condition is PA (ag, gen, spe, sym, his, fam, ale, Oth).某药品药物(Medicine,简称Med)Med,其药品使用信息中某条适应证为Med(xi),拆分结果为Med(xi(ag,gen,spe,sym,his,fam,ale,Oth))。Medi drug (Med) Med, one of the indications in the drug use information is Med(x i ), and the result of the split is Med(x i (ag, gen, spe, sym, his, fam, ale, Oth)).
- 根据权利要求21-33中任意一项的智能选药系统,其特征在于,静态排除不适宜药品智能选药单元、动态排除不适宜药品智能选药单元、医疗保险审核单元、个性化筛选智能选药单元的先后顺序可以根据进行调整。The intelligent drug selection system according to any one of claims 21 to 33, characterized in that statically selecting an unsuitable drug intelligent drug selection unit, dynamically excluding an unsuitable drug intelligent drug selection unit, a medical insurance review unit, and a personalized screening intelligent selection The order of the medicine units can be adjusted according to the order.
- 根据权利要求21-33中任意一项的智能选药系统,其特征在于,该系统可用 于医生处方推荐药品、药师制定用药方案、患者自主选择药品(OTC)、辅助选择药品及用法用量的药学智能推荐的其中至少一项。Intelligent drug selection system according to any one of claims 21-33, characterized in that the system is available At least one of the prescriptions recommended by the doctor for the prescription drug, the pharmacist formulating the medication plan, the patient's self-selected drug (OTC), the auxiliary drug selection, and the usage and dosage.
- 一种智能选药的设备,其特征在于,所述设备包括:An intelligent drug selection device, characterized in that the device comprises:药品使用要素信息提取模块,用于提取药品使用要素信息;a drug use element information extraction module for extracting drug use element information;多维度属性项字典模块,用于提供多维度属性项字典;a multi-dimensional attribute item dictionary module for providing a multi-dimensional attribute item dictionary;药品使用要素信息多维度处理模块,根据多维度属性项字典模块对药品使用要素信息进行处理;The multi-dimensional processing module of the drug use element information processes the drug use element information according to the multi-dimensional attribute item dictionary module;患者用药相关要素信息提取模块,用于提取患者用药相关要素信息;The patient medication related element information extraction module is used for extracting information about the relevant elements of the patient medication;患者用药相关要素信息多维度处理模块,根据多维度属性项字典模块对患者用药相关要素信息进行处理;The multi-dimensional processing module for patient medication related element information processes the information related to the patient medication according to the multi-dimensional attribute item dictionary module;智能选药匹配比对模块,将药品使用要素信息与患者用药相关要素信息中各属性项信息的进行智能选药匹配比对;The intelligent drug selection matching comparison module compares the drug use element information with the information of each attribute item in the patient drug related element information for intelligent drug selection and matching;智能选药模块,生成智能选药列表。The intelligent drug selection module generates a smart drug selection list.
- 根据权利要求41的智能选药设备,其特征在于,多维度属性项字典模块,根据用药信息的医学或药学属性结构及各属性定义建立。The intelligent drug selection device according to claim 41, wherein the multi-dimensional attribute item dictionary module is established based on a medical or pharmaceutical attribute structure of the medication information and each attribute definition.
- 根据权利要求42的智能选药设备,其特征在于,多维度属性项字典模块,用于提供药品使用信息和患者用药信息中各项医学或药学属性涉及的标准字典。The intelligent drug selection device according to claim 42, wherein the multi-dimensional attribute item dictionary module is configured to provide a standard dictionary related to various medical or pharmaceutical attributes in the drug use information and the patient medication information.
- 根据权利要求42的智能选药设备,其特征在于,多维度属性项字典模块,用于提供药品使用信息和患者用药信息中各项医学或药学属性不同来源异名与标准字典关联关系。The intelligent drug selection device according to claim 42, wherein the multi-dimensional attribute item dictionary module is configured to provide a different dictionary name relationship between the medical source and the drug information in the drug use information and the patient medication information.
- 根据权利要求42的智能选药设备,其特征在于,多维度属性项字典模块,根据不同的医学或药学属性将药品使用信息拆分到最小属性分项,同时保存各属性项之间的逻辑关系,并将各最小属性分项的数据与标准医学或药学属性项字典库关联。The intelligent drug selection device according to claim 42, wherein the multi-dimensional attribute item dictionary module splits the drug use information into the minimum attribute item according to different medical or pharmaceutical attributes, and saves the logical relationship between the attribute items. And associate the data of each minimum attribute item with the standard medical or pharmaceutical attribute item dictionary library.
- 根据权利要求45的智能选药设备,其特征在于,多维度属性项字典中涉及的医学属性项至少包括:患者的人群相关属性、患者的特殊人群相关属性、患者的疾病相关属性、患者的症状相关属性、患者的既往病史相关属性、患者的操作相关属性、患者的个人生活史相关属性、患者的生理状态相关属性、患者的检查指标相关属性等的其中至少一个维度。The intelligent drug selection device according to claim 45, wherein the medical attribute items involved in the multi-dimensional attribute item dictionary include at least: a population-related attribute of the patient, a special population-related attribute of the patient, a disease-related attribute of the patient, and a symptom of the patient At least one of the relevant attributes, the patient's past medical history related attributes, the patient's operational related attributes, the patient's personal life history related attributes, the patient's physiological state related attributes, the patient's examination index related attributes, and the like.
- 根据权利要求45的智能选药设备,其特征在于,多维度属性项字典中涉及的药学属性项至少包括:用药目的相关属性、药品成分的相关属性、药品规格包装的相关属性、药品适应症的相关属性、药品用法用量的相关属性、药品给药途径的相关属性、药品禁忌症的相关属性、药品不良反应的相关属性、药品注意事项的相关属性以及患者过敏史相关属性、患者用药史相关属性、患者用药的给药途径相关属性、患者用药相关基因属性等的其中至少一个维度。The intelligent drug-selecting device according to claim 45, wherein the pharmacy attribute items involved in the multi-dimensional attribute item dictionary include at least: a property related to the purpose of the drug, a related attribute of the drug component, a related attribute of the drug specification package, and a drug indication Relevant attributes, related attributes of drug usage and dosage, related attributes of drug administration routes, related attributes of drug contraindications, related attributes of adverse drug reactions, related attributes of drug precautions, related attributes of patient allergy history, and related attributes of patient medication history At least one dimension of the drug-related route of administration, the drug-related gene attribute of the patient, and the like.
- 根据权利要求41的智能选药设备,其特征在于,通过适应症选药生成智能选药列表。The intelligent drug selection device according to claim 41, wherein the smart drug selection list is generated by the indication drug selection.
- 根据权利要求48的智能选药设备,其特征在于,该方法进一步包括药物单项审核排除不适宜药品智能选药模块。48. The intelligent drug selection device of claim 48, wherein the method further comprises a drug individual review to exclude an inappropriate drug intelligent drug selection module.
- 根据权利要求49的智能选药设备,其特征在于,该方法进一步包括药物重整审核排除不适宜药品智能选药模块。 The intelligent drug selection device according to claim 49, wherein the method further comprises the drug reforming review to exclude the unsuitable drug intelligent drug selection module.
- 根据权利要求50的智能选药设备,其特征在于,该方法进一步包括医疗保险审核模块。The intelligent drug selection device of claim 50, wherein the method further comprises a medical insurance review module.
- 根据权利要求51的智能选药设备,其特征在于,该方法进一步包括个性化筛选智能选药模块。The intelligent drug selection device of claim 51, wherein the method further comprises personalizing the screening of the intelligent drug selection module.
- 根据权利要求52的智能选药设备,其特征在于,该方法进一步包括用法用量推荐模块。The intelligent drug selection device according to claim 52, wherein the method further comprises a usage amount recommendation module.
- 根据权利要求41-53中任意一项的智能选药设备,其特征在于,药品使用要素信息提取模块,用于提取每一种药品使用信息中适应症、用法用量适用条件、用药禁忌的相关医学/药学属性要素信息。The intelligent drug selecting device according to any one of claims 41 to 53, wherein the drug use element information extracting module is configured to extract an indication for each drug use information, an applicable condition for usage and dosage, and a related medicine for contraindications of the drug. /Pharmaceutical attribute element information.
- 根据权利要求54的智能选药设备,其特征在于,药品使用信息来源于药品说明书、药典、国家处方集、治疗/用药指南、专家共识、以及各级医疗机构用药规定等的其中至少之一。The intelligent drug selecting device according to claim 54, wherein the drug use information is derived from at least one of a drug product specification, a pharmacopoeia, a national formula set, a treatment/drug guide, an expert consensus, and a medication prescription for each level of medical institutions.
- 根据权利要求41-53中任意一项的智能选药设备,其特征在于,患者用药相关信息提取模块,用于提取患者用药时相关属性要素的实际信息。The intelligent drug selecting device according to any one of claims 41 to 53, wherein the patient medication related information extracting module is configured to extract actual information of related attribute elements when the patient takes medication.
- 根据权利要求56的智能选药设备,其特征在于,患者用药信息的来源为医生处方、治疗方案、用药方案、病历、病案、药历、检查结果、患者自述症状、患者自主选药等其中的至少之一。The intelligent drug-selecting device according to claim 56, wherein the source of the patient medication information is a doctor's prescription, a treatment plan, a medication plan, a medical record, a medical record, a medical record, an examination result, a patient self-reported symptom, a patient's self-selection drug, and the like. At least one.
- 根据权利要求41-53中任意一项的智能选药设备,其特征在于,生成匹配比对结果的方式为,The intelligent drug selecting device according to any one of claims 41 to 53, wherein the manner of generating a matching comparison result is此药物的某条适应证的年龄元素与该患者的用药信息中的年龄元素匹配结果为:The age element of an indication for this drug matches the age element in the patient's medication information:此药物的某条适应证与该患者的患者用药信息匹配结果为:The match between the indication of the drug and the patient's medication information for the patient is:患者Pa,是否能够使用本药物Med的结果为:Patient Pa, whether the result of using this drug Med is:其中,某患者(Patient,简称Pa),其患者用药信息包括年龄:(age,简称ag)、性别(gender,简称gen)、所属特殊人群(special,简称spe)、症状(symptom,简称sym)、既有病史(history disease,简称his)、家族病史(family disease,简称fam)、过敏史(allergic history,简称ale)、其他状况(Other,简称Oth)等。该患者的身体状况为Pa(ag,gen,spe,sym,his,fam,ale,Oth)。Among them, a patient (Patient, referred to as Pa), the patient medication information includes age: (age, abbreviated as ag), gender (gender, referred to as gen), special group (special, referred to as spe), symptom (symptom, referred to as sym) There are both history (his), family disease (fam), allergic history (ale), and other conditions (Other, referred to as Oth). The patient's physical condition is Pa (ag, gen, spe, sym, his, fam, ale, Oth).某药品药物(Medicine,简称Med)Med,其药品使用信息中某条适应证为Med(xi),拆分结果为Med(xi(ag,gen,spe,sym,his,fam,ale,Oth))。Medi drug (Med) Med, one of the indications in the drug use information is Med(x i ), and the result of the split is Med(x i (ag, gen, spe, sym, his, fam, ale, Oth)).
- 根据权利要求41-53中任意一项的智能选药设备,其特征在于,静态排除不适宜药品智能选药模块、动态排除不适宜药品智能选药模块、医疗保险审核模块、个性化筛选智能选药模块的先后顺序可以根据进行调整。The intelligent drug-selecting device according to any one of claims 41-53, characterized in that: statically eliminating unsuitable drug intelligent drug selection module, dynamically eliminating unsuitable drug intelligent drug selection module, medical insurance review module, personalized screening intelligent selection The order of the medicine modules can be adjusted according to the order.
- 根据权利要求41-53中任意一项的智能选药设备,其特征在于,该设备可用于医生处方推荐药品、药师制定用药方案、患者自主选择药品(OTC)、辅助选择药品及用法用量的药学智能推荐的其中至少一项。The intelligent drug-selecting device according to any one of claims 41-53, wherein the device is applicable to a doctor's prescription recommending drug, a pharmacist formulating a drug-using program, an patient-selected drug (OTC), an auxiliary drug selection, and a pharmacy for usage and dosage. At least one of the smart recommendations.
- 根据权利要求41-53中任意一项的智能选药设备,该设备包括但不限于于医疗机构医生工作站、药师工作站,药店药师工作站、店员工作站、患者自助终端,患者可接入互联网设备(电脑、智能电视、移动电脑、智能手机、智能手表等)。 The intelligent drug selection device according to any one of claims 41-53, including but not limited to a medical institution doctor workstation, a pharmacist workstation, a pharmacy pharmacist workstation, a clerk workstation, a patient self-service terminal, and a patient accessible Internet device (computer , smart TV, mobile computers, smart phones, smart watches, etc.).
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