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    • 51. 发明申请
    • Support System for Improved Quality Healthcare
    • 改善质量保健的支持系统
    • US20120109689A1
    • 2012-05-03
    • US13281724
    • 2011-10-26
    • Jason Lee
    • Jason Lee
    • G06Q50/24
    • G06F19/326G06F19/325G06Q10/06G06Q50/24G16H10/60G16H50/20
    • The present invention, defined as MEGICS (Medical+Logics), has been developed in order to improve quality of care and enhance the efficiency of operation of healthcare facilities and providers. When front-line healthcare doctors and nurses make various clinical decisions, MEGICS management system can provide them with relevant clinical knowledge in a timely manner. MEGICS management system can, therefore, increase the level of user satisfaction and provide patients with better quality of healthcare services. The Inventor believes that the present invention, MEGICS, can penetrate a new market and be easily adopted by healthcare facilities, due to its flexible system structure, experience-based approach, and user-friendly features.
    • 定义为MEGICS(Medical + Logical)的本发明是为了提高护理质量和提高保健设施和提供者的运作效率而开发的。 当前线医护人员和护士做出各种临床决策时,MEGICS管理系统可以及时为他们提供相关的临床知识。 因此,MEGICS管理系统可以提高用户满意度,为患者提供更好的医疗服务质量。 发明人认为,由于灵活的系统结构,基于经验的方法和用户友好的特性,本发明的MEGICS可以渗透到新的市场,并被卫生保健机构轻易采用。
    • 57. 发明授权
    • Assigning terms of interest to an entity
    • 为实体分配利益条件
    • US08589399B1
    • 2013-11-19
    • US13430624
    • 2012-03-26
    • Jason LeeTamara I. SternGregory J. DonakerSasha J. Blair-Goldensohn
    • Jason LeeTamara I. SternGregory J. DonakerSasha J. Blair-Goldensohn
    • G06F17/30
    • G06F17/30616
    • The subject matter of this specification can be embodied in, among other things, a method that includes identifying resources relating to an entity, where each resource includes multiple terms and is included in a corpus of resources relating to multiple entities. Candidate terms from the resources for potentially associating with the entity and a category associated with the entity are identified. A relative frequency of the candidate terms in the identified resources is compared to a frequency of the candidate terms associated with other entities. Each of the candidate terms are weighted, for example, based on a source of the candidate term and the relative frequency of the candidate term. A weighted frequency of each candidate term is calculated based on the weights, and candidate terms are selected as representative terms for the entity based on the weighted frequency.
    • 本说明书的主题尤其可以包括识别与实体有关的资源的方法,其中每个资源包括多个术语,并且被包括在与多个实体相关的资源语料库中。 确定与潜在与实体相关联的资源和与该实体相关联的类别的候选项。 将所识别的资源中的候选项的相对频率与与其他实体相关联的候选项的频率进行比较。 每个候选项被加权,例如,基于候选项的来源和候选项的相对频率。 基于权重计算每个候选项的加权频率,并且基于加权频率将候选项选择为实体的代表项。