WO2016070439A1 - Procédé, système et dispositif de sélection intelligente de médicament - Google Patents

Procédé, système et dispositif de sélection intelligente de médicament Download PDF

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Publication number
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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WIPO (PCT)
Prior art keywords
drug
patient
information
intelligent
attribute
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PCT/CN2014/090661
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English (en)
Chinese (zh)
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曹庆恒
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曹庆恒
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Priority to CN201480001284.4A priority Critical patent/CN104584021B/zh
Priority to PCT/CN2014/090661 priority patent/WO2016070439A1/fr
Publication of WO2016070439A1 publication Critical patent/WO2016070439A1/fr

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G16H70/20—ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • 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
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass

Definitions

  • 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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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medicinal Chemistry (AREA)
  • Bioethics (AREA)
  • Toxicology (AREA)
  • Pharmacology & Pharmacy (AREA)
  • Business, Economics & Management (AREA)
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  • General Business, Economics & Management (AREA)
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Abstract

L'invention concerne un procédé, un système et un dispositif de sélection intelligente de médicament, le procédé consistant à : établir (101) un dictionnaire d'attributs multidimensionnels ; extraire (102) des informations de facteur d'utilisation de médicament ; traiter (103) les informations de facteur d'utilisation de médicament selon le dictionnaire d'attributs multidimensionnels ; extraire (104) des informations de facteur associées à un médicament utilisé par un patient ; selon le dictionnaire, traiter (105) les informations de facteur associées au médicament utilisé par le patient ; mettre en oeuvre (106) un appariement et une comparaison de sélections intelligentes de médicament sur chaque information d'attribut des informations de facteur d'utilisation de médicament et sur les informations de facteur associées au médicament utilisé par le patient ; et générer (107) une liste de sélection intelligente de médicament. Le procédé, le système et le dispositif de sélection intelligente de médicament utilisent une technologie de l'information pour analyser et traiter une grande quantité de données d'utilisation de médicaments, et constituent un procédé de sélection intelligente de médicament.
PCT/CN2014/090661 2014-11-07 2014-11-07 Procédé, système et dispositif de sélection intelligente de médicament WO2016070439A1 (fr)

Priority Applications (2)

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CN201480001284.4A CN104584021B (zh) 2014-11-07 2014-11-07 一种智能选药的方法、系统和设备
PCT/CN2014/090661 WO2016070439A1 (fr) 2014-11-07 2014-11-07 Procédé, système et dispositif de sélection intelligente de médicament

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CN107330284A (zh) * 2017-07-06 2017-11-07 上海观谷科技有限公司 药品信息管理方法、装置和系统
CN107731270A (zh) * 2017-10-25 2018-02-23 康美药业股份有限公司 一种自动审核药方准确性的方法及装置

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CN107731270A (zh) * 2017-10-25 2018-02-23 康美药业股份有限公司 一种自动审核药方准确性的方法及装置

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