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公开(公告)号：KR1020120125079A
公开(公告)日：2012-11-14
申请号：KR1020110043155
申请日：2011-05-06
Applicant: 아주대학교산학협력단
IPC: G06F19/00
CPC classification number: G06F19/36
Abstract: PURPOSE: A retrospective cohort research based drug side effect clue sensing method using an electronic medical record is provided to increase accuracy of a result according to accumulation of an electronic medical record database and supply various statistical results, thereby helping additional determination of a user. CONSTITUTION: A drug which would find side effect and an inspection which would find a side effect clue are determined(S100). A drug exposure candidate and a drug non-exposure candidate are extracted from an electronic medical record database(S150). A drug exposure group and a drug non-exposure group are selected by matching the drug exposure candidate and the drug non-exposure candidate with an important variable. A drug injection representation value among an inspection result of drug exposure group patients and a drug non-injection representation value among the inspection result of drug non-exposure group patients are determined(S500). The side effect of the drug is determined through statistics verification of the drug injection representation value and the drug non-injection representation value(S600). [Reference numerals] (AA) Start; (BB) End; (S100) Determining a drug and a test to detect side effects; (S150) Extracting drug exposure and non-exposure candidate groups; (S200) Selecting a side effect examinee group; (S250) Selecting a group of examinees without side effects to an initial test; (S300) Matching drug exposure and non-exposure candidate groups; (S500) Determining an after-drug-injection representative value(PostLab) and a non-drug-injection representative value(NoLab); (S600) Comparing the PostLab and NoLab and determining the occurrence of side effects; (S700) Coding "0" or "1" according to the occurrence of side effects; (S800) Statistical analysis such as conditional logistic regression analysis; (S900) Determining side effects of the drug
Abstract translation: 目的：提供一种使用电子病历的回顾性队列研究药物副作用线索检测方法，以根据电子病历数据库的积累提高结果的准确性，并提供各种统计结果，从而有助于确定用户。 构成：确定会发现副作用的药物和会发现副作用线索的检查（S100）。 从电子医疗记录数据库中提取药物暴露候选者和药物非暴露候选者（S150）。 通过将药物暴露候选物和药物非暴露候选物与重要变量进行匹配来选择药物暴露组和药物非暴露组。 确定药物暴露组患者检查结果中药物注射代谢值和药物非暴露组患者检查结果中药物非注射代表值（S500）。 通过药物注射代表值和药物非注射代谢值的统计验证确定药物的副作用（S600）。 （附图标记）（AA）开始; （BB）结束; （S100）确定药物和检测副作用的试验; （S150）提取药物暴露和非暴露候选组; （S200）选择副作用组; （S250）选择一组没有副作用的考生进行初步考试; （S300）匹配药物暴露和非暴露候选组; （S500）确定药后注射代谢值（PostLab）和非药物注射代表值（NoLab）; （S600）比较PostLab和NoLab，确定副作用的发生; （S700）根据副作用的发生编码“0”或“1” （S800）条件逻辑回归分析等统计分析; （S900）确定药物的副作用
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公开(公告)号：KR1020120016554A
公开(公告)日：2012-02-24
申请号：KR1020100079013
申请日：2010-08-16
Applicant: 아주대학교산학협력단
IPC: A61B5/0402 , A61B5/0432
Abstract: PURPOSE: A method for sensing a side effect of drug and surgery by using a computerized patient record and electrocardiogram data is provided to multiply accuracy of a result by accumulating EMR database and to rapidly sense various side effects about the drug and surgery. CONSTITUTION: A patient which takes drug is selected(S100). An initial time point when the drug is put into the patient is identified(S200). The patient performing electrocardiography before and after the initial time point is extracted(S300). A representative value before drug administration and a representative value after the drug administration among results of the electrocardiography of the extracted patient are determined(S400). Whether the drug causes a side effect or not is determined(S500).
Abstract translation: 目的：通过使用计算机化的病人记录和心电图数据来检测药物和手术的副作用的方法，通过累积EMR数据库并快速感测关于药物和手术的各种副作用来增加结果的准确性。 构成：选择服用药物的患者（S100）。 鉴定药物放入患者时的初始时间点（S200）。 提取在初始时间点之前和之后执行心电图的患者（S300）。 确定药物给药前的代表性值，以及药物给药后的提取患者的心电图结果之间的代表值（S400）。 确定药物是否引起副作用（S500）。
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3.发明公开
公开(公告)号：KR1020120016557A
公开(公告)日：2012-02-24
申请号：KR1020100079016
申请日：2010-08-16
Applicant: 아주대학교산학협력단
IPC: A61B5/0402 , A61B5/0432
Abstract: PURPOSE: A drug or surgical operation side effect detecting method based on a patient-control group is provided to accurately inspect various side effects by grasping objective statistics. CONSTITUTION: A drug for inspecting a side effect is determined(S100). A candidate of a case group and a control group candidate are extracted from an EMR(Electronic Medical Record) database(S150). An inclination score of a patients is calculated(S200). A control group is classified from the control group candidate(S300). A representative value(PostQT) after giving a drug and a representative value(NoQT) after non-putting the drug are determined(S500). Whether the drug has the side effect or not is determined(600).
Abstract translation: 目的：提供一种基于患者对照组的药物或外科手术副作用检测方法，通过掌握客观统计学来准确检测各种副作用。 规定：确定检查副作用的药物（S100）。 从EMR（电子病历）数据库中提取病例组和对照组候选者的候选者（S150）。 计算患者的倾斜度（S200）。 控制组从对照组候选者中分类（S300）。 确定不给药后给药后的代表性价值（PostQT）和代表性值（NoQT）（S500）。 药物是否具有副作用是否被确定（600）。
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Patent Agency Ranking
公开(公告)号：KR1020100042875A
公开(公告)日：2010-04-27
申请号：KR1020080102071
申请日：2008-10-17
Applicant: 아주대학교산학협력단
CPC classification number: G06Q50/22 , A61B5/0015 , H04L67/02
Abstract: PURPOSE: A patient-customized hospital guide system for U-home system support is provided to recommend a clinic and a professional hospital for a disease, thereby increasing medial satisfaction of a user and quality of a service. CONSTITUTION: A professional hospital information database(40) stores information about hospitals according to the disease of each region. A symptom disease information DB(50) stores information of diseases according to each symptom. If a user inputs own symptom and basic information through online, a hospital guide system(30) provides a clinic suitable for a disease about a corresponding symptom.
Abstract translation: 目的：提供用于U-home系统支持的患者定制的医院指导系统，以推荐诊所和专业医院进行疾病，从而增加用户的内部满意度和服务质量。 规定：专业医院信息数据库（40）根据各地区疾病存储医院信息。 症状疾病信息DB（50）存储根据各症状的疾病信息。 如果用户通过在线输入自己的症状和基本信息，医院指导系统（30）提供适合于相应症状的疾病的诊所。
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公开(公告)号：KR1020080042256A
公开(公告)日：2008-05-15
申请号：KR1020060110422
申请日：2006-11-09
Applicant: 아주대학교산학협력단
Abstract: A system for monitoring side effects of drugs is provided to guarantee safe medical activity to inpatients of a hospital by finding side effects of the drugs medicated to the inpatients, as data is extracted from various kinds of data of an HIS(Hospital Information System) and the extracted data is judged based on a knowledge-base constructed by knowledge of clinical experts. A data management center(100) extracts and manages side effect data without applying load to an HIS(400). A data replication agent(110) constructs an HIS replica database(160) by copying data of the HIS automatically, and extract, converts, and loads the data by each stage. An anonymization agent(130) anonymizes various kinds of inpatients, medical treatments, and examination results automatically. A data quality management program(150) manages error and quality of the data. A side effect knowledge-base(230) is constructed based on knowledge of clinical experts. A rule management program(220) and a drug side effect determination agent(210) support a function for keeping operation stably by mapping the knowledge-base and various kinds of standard medical databases(240) periodically.
Abstract translation: 提供一种监测药物副作用的系统，通过发现药物对住院患者的副作用，从医院信息系统的各种数据中提取资料，为医院住院病人提供安全的医疗活动; 基于由临床专家的知识构建的知识库来判断提取的数据。 数据管理中心（100）提取并管理副作用数据，而不向HIS（400）施加负荷。 数据复制代理（110）通过自动复制HIS的数据构建HIS副本数据库（160），并且通过每个阶段提取，转换和加载数据。 匿名代理（130）自动匿名化各种住院病人，医疗护理和检查结果。 数据质量管理程序（150）管理数据的错误和质量。 基于临床专家的知识构建副作用知识库（230）。 规则管理程序（220）和药物副作用确定代理（210）通过定期地映射知识库和各种标准医疗数据库（240）来支持稳定地保持操作的功能。
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公开(公告)号：KR1020100042820A
公开(公告)日：2010-04-27
申请号：KR1020080101985
申请日：2008-10-17
Applicant: 아주대학교산학협력단
Abstract: PURPOSE: An electronic device is provided to implement ubiquitous health care by periodically executing body temperature monitoring and measurement without regard to time and place. CONSTITUTION: A body temperature measurement and conversion terminal comprises a temperature sensor part(211), a data controlling part(212), a BBT(Basal Body Temperature) conversion part(213), an information control part(215), and a display part(216). The temperature sensor part measures the body temperature of a user. The data controlling part manages data obtained by the temperature sensor. The BBT conversion part changes the body temperature of user to the BBT. The information control part controls data for the display. The display part displays the body temperature information of a user.
Abstract translation: 目的：提供电子设备，通过定期执行体温监测和测量，无需考虑时间和地点，实现无所不在的卫生保健。 体温：体温测量和转换终端包括温度传感器部分（211），数据控制部分（212），BBT（基体体温）转换部分（213），信息控制部分（215）和显示器 部分（216）。 温度传感器部件测量使用者的体温。 数据控制部管理由温度传感器获得的数据。 BBT转换部分将用户体温改为BBT。 信息控制部分控制显示的数据。 显示部显示用户的体温信息。
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公开(公告)号：KR1020100042923A
公开(公告)日：2010-04-27
申请号：KR1020080102142
申请日：2008-10-17
Applicant: 아주대학교산학협력단
IPC: G06F17/40
CPC classification number: G06F19/30
Abstract: PURPOSE: A knowledge base management system for monitoring the side effects of a drug of a hospital information system is provided to design a database schema according to structure and implement a web-based interface for user convenience by structuring the knowledge for the ADE. CONSTITUTION: A knowledge database(300) stores and updates the data generated by each module, and search modules(110,120) search the drug used in a hospital, inspection and diagnosis and use an ADE(Adverse Drug Event) knowledge database management system by providing information. A unit change module(140) changes the unit for the amount of drug automatically when registering ADE knowledge. A user interface changing module(130) changes user interface for each type based on ADE knowledge.
Abstract translation: 目的：提供一种用于监测医院信息系统药物副作用的知识库管理系统，根据结构设计数据库模式，并通过构建ADE知识实现基于Web的界面，方便用户使用。 构成：知识数据库（300）存储和更新每个模块生成的数据，搜索模块（110,120）搜索医院使用的药物，检查和诊断，并使用ADE（不良药物事件）知识数据库管理系统，提供 信息。 注册ADE知识时，单位更换模块（140）自动更改药物量的单位。 用户界面改变模块（130）基于ADE知识改变每种类型的用户界面。
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公开(公告)号：KR1020100042839A
公开(公告)日：2010-04-27
申请号：KR1020080102026
申请日：2008-10-17
Applicant: 아주대학교산학협력단
CPC classification number: G06Q50/22 , A61B5/682 , G06Q30/0269
Abstract: PURPOSE: An oral health management model for self-monitoring an oral disease is provided to grasp relations among general causes of tooth pain, thereby predicting tooth pain through a neural network model. CONSTITUTION: An oral health management model is generated by analyzing oral habit data of a person. The oral health management model is divided by a body factor, an eating habit factor, a life bit factor, an oral habit factor, and a stress degree. The body factor is made of gender, age, height, weight and BMI(Body Mass Index).
Abstract translation: 目的：提供口腔疾病自我监测的口腔健康管理模式，以掌握牙痛的一般原因之间的关系，从而通过神经网络模型预测牙齿疼痛。 构成：通过分析一个人的口腔习惯数据来生成口腔健康管理模型。 口腔健康管理模式除以身体因素，饮食习惯因素，生活位因子，口腔习惯因素和压力程度外。 身体因素由性别，年龄，身高，体重和体重指数（身体质量指数）组成。
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