首页> 外文会议>Medical Informatics in Europe Conference. >Representing the Patient's Therapeutic History in Medical Records and in Guideline Recommendations for Chronic Diseases Using a Unique Model
【24h】

Representing the Patient's Therapeutic History in Medical Records and in Guideline Recommendations for Chronic Diseases Using a Unique Model

机译:代表患者在医疗记录中的治疗史以及使用独特模型的慢性疾病的指导建议

获取原文

摘要

Computer-interpretable guidelines (CIGs) are more likely to affect the clinician's behavior when they deliver patient-specific and just-in-time clinical advice. CIGs must take into account the data stored in the patient's electronic medical records (EMR). For chronic diseases, the outcome of past and ongoing treatments (therapeutic history) is used in the clinical guidelines. We propose a model for the conceptualization of therapeutic history, facilitating data sharing between EMRs and CIGs and the representation of therapeutic history and recommended treatments in clinical guidelines. Based on medical literature review and an existing treatment model, a core structure is first defined taking into account drug and non-drug treatment components and treatment type (eg bitherapy). These elements together with additional concepts obtained by analyzing a sample guideline relating to diabetes, are then organized into an object-oriented model, using UML formalism. We show how this model can be used to store the patient's therapeutic history in the EMR, together with other attributes such as treatment efficacy and tolerance We also explain how this model can efficiently code guidelines therapeutic rules. We evaluated this model, using additional guidelines for hypertension, hypercholesterolemia and asthma. We found it capable for representing guideline recommendations in several domains of chronic diseases.
机译:计算机可解释的准则(CIGS)更有可能影响临床医生的行为,当他们提供患者特定和即时临床建议时。 CIGS必须考虑到患者电子医疗记录(EMR)中存储的数据。对于慢性疾病,过去和持续治疗的结果(治疗史)用于临床指南。我们为治疗史的概念化提出了一种模型,促进EMRS和CIG之间的数据共享以及在临床指南中的治疗史和推荐治疗的代表性。基于医学文献综述和现有的治疗模型,首先考虑药物和非药物治疗组分和治疗型(例如腔遗址)定义核心结构。这些元素与通过分析与糖尿病有关的样品指南获得的额外概念,然后使用UML形式主义组织成面向对象的模型。我们展示该模型如何用于将患者的治疗历史存储在EMR中,以及其他属性,如治疗效率和宽容,我们还解释了该模型如何有效地编制准则治疗规则。我们使用高血压,高胆固醇血症和哮喘的其他准则进行了评估。我们发现它能够在几个慢性疾病领域代表指导建议。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号