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    • 3. 发明授权
    • Patient cohort matching
    • 病人队列匹配
    • US08930223B2
    • 2015-01-06
    • US13436239
    • 2012-03-30
    • Robert R. FriedlanderRichard HennessyJames R. Kraemer
    • Robert R. FriedlanderRichard HennessyJames R. Kraemer
    • G06Q50/00G06Q10/00
    • G06Q50/24G06F19/00G06Q10/10G16H50/30G16H50/70
    • A computer hardware-implemented method, system, and/or computer program product matches a current patient to a specific patient readmission cohort. The specific patient readmission cohort, made up of patients having a shared attribute, has a historical likelihood of hospital readmission within a predefined post-discharge length of time for members of the specific patient readmission cohort. A database describing a current patient is selected, based on the cost and speed of accessing that database, as well as the probability that the database describes a similar attribute for the current patient as the shared attribute in the specific patient readmission cohort. If the current patient meets the requisite criteria for entry into the specific patient readmission cohort, then a recommendation designed to reduce a likelihood of hospital readmission of the current patient is generated.
    • 计算机硬件实现的方法,系统和/或计算机程序产品将当前患者与特定患者再入院队列匹配。 由具有共同属性的患者组成的特定患者再入院队列具有在特定患者再次入院队列中的成员的预定的放电后时间段内医院再次入院的历史可能性。 基于访问该数据库的成本和速度以及数据库描述当前患者的类似属性作为特定患者再入院队列中的共享属性的概率,选择描述当前患者的数据库。 如果当前患者满足进入特定患者再次入院队列的必要标准,则产生旨在减少当前患者再次入院的可能性的建议。
    • 5. 发明授权
    • Automated derivation, design and execution of industry-specific information environment
    • 行业特定信息环境的自动推导,设计和执行
    • US08478623B2
    • 2013-07-02
    • US13541238
    • 2012-07-03
    • Robert R. FriedlanderThomas L. HanksRichard HennessyJames R. Kraemer
    • Robert R. FriedlanderThomas L. HanksRichard HennessyJames R. Kraemer
    • G06Q10/00
    • G06Q10/06G06Q10/04G06Q50/08
    • A computer-implemented method, system, and/or computer program product creates a physical information environment for a specific industry type. A candidate industry type, which has specific information environment requirements, is selected to describe a customer's operations. A set of information environment components that is specific to the candidate industry type is selected. Inherent constraints, for the set of information environment components, are identified. A processor recursively optimizes the set of information environment components to create a set of optimized information environment components that meet the inherent constraints and key performance indicators (KPIs) of the candidate industry type. A hierarchy of KPIs for the candidate industry type is defined. The processor predicts access patterns to the optimized information environment components based on the hierarchy of KPIs. A physical information environment that comprises the set of optimized information environment components is then constructed and deployed.
    • 计算机实现的方法,系统和/或计算机程序产品为特定行业类型创建物理信息环境。 选择具有特定信息环境要求的候选行业类型来描述客户的操作。 选择特定于候选行业类型的一组信息环境组件。 确定了对于一组信息环境组件的固有约束。 处理器递归地优化了一组信息环境组件,以创建一组优化的信息环境组件,以满足候选行业类型的固有约束和关键绩效指标(KPI)。 定义了候选行业类型的KPI层次结构。 处理器基于KPI的层次结构来预测优化的信息环境组件的访问模式。 然后构建并部署包含一组优化的信息环境组件的物理信息环境。
    • 7. 发明申请
    • Generating Never-Event Cohorts from Patient Care Data
    • 从患者护理数据生成不事件队列
    • US20100153133A1
    • 2010-06-17
    • US12335857
    • 2008-12-16
    • Robert Lee AngellRobert R. FriedlanderRichard HennessyJames R. Kraemer
    • Robert Lee AngellRobert R. FriedlanderRichard HennessyJames R. Kraemer
    • G06Q50/00G06N5/04G06N5/02
    • G06Q50/24G16H50/70
    • The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for generating never-event cohorts. In response to receiving patient care data derived from a population of patients, the patient care data is processed to form digital patient care data. The digital patient care data includes metadata describing a set of patient care patterns associated with one or more patients in the population of patients. The digital patient care data is analyzed using cohort criteria to identify a set of never-event attributes from the set of patient care patterns. The cohort criteria specifies at least one never-event attribute from the set of never-event attributes for each cohort in a set of never-event cohorts. Thereafter, a set of never-event cohorts is generated. The set of never-event cohorts is formed from members selected from the population of patients, and each member of a cohort in the set of never-event cohorts has the at least one never-event attribute in common.
    • 本文描述的说明性实施例提供了一种计算机实现的方法,装置和用于产生永不事件队列的计算机程序产品。 响应于接收从患者群体导出的患者护理数据,处理患者护理数据以形成数字患者护理数据。 数字患者护理数据包括描述与患者群体中的一个或多个患者相关联的一组患者护理模式的元数据。 使用队列标准分析数字患者护理数据,以从该组患者护理模式中识别一组永不事件属性。 队列标准为一组永不事件队列中的每个队列指定从永远事件属性组中至少一个永久事件属性。 此后,生成一组未事件队列。 从事事件队列的集合是从患者人群中选出的成员组成的,并且该组永久事件组中的每个成员具有至少一个共同的事件属性。
    • 9. 发明授权
    • Deriving a hierarchical event based database optimized for pharmaceutical analysis
    • 导出针对药物分析优化的基于层次事件的数据库
    • US08346802B2
    • 2013-01-01
    • US13044074
    • 2011-03-09
    • Robert R. FriedlanderRichard HennessyJames R. Kraemer
    • Robert R. FriedlanderRichard HennessyJames R. Kraemer
    • G06F17/30
    • G06F17/30522
    • A computer implemented method for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.
    • 一种计算机实现的方法,用于推断从接收到关于推理的查询的数据库中不存在第一推断的概率。 数据库的每个数据符合数据库的维度。 多个数据的每个数据具有关联的元数据和相关联的密钥。 关联的元数据包括关于与相应数据相关联的队列的数据,关于与相应数据相关联的层级的数据,关于数据的相应源的数据,以及关于与每个相关联的数据的完整性,可靠性和重要性相关联的概率的数据。 该查询用作搜索的参考框架。 数据库返回基于查询和数据的第一推断的正确性的概率。
    • 10. 发明授权
    • Automated derivation, design and execution of industry-specific information environment
    • 行业特定信息环境的自动推导,设计和执行
    • US08285576B2
    • 2012-10-09
    • US12609642
    • 2009-10-30
    • Robert R. FriedlanderThomas L. HanksRichard HennessyJames R. Kraemer
    • Robert R. FriedlanderThomas L. HanksRichard HennessyJames R. Kraemer
    • G06Q10/00
    • G06Q10/06G06Q10/04G06Q50/08
    • A computer-implemented method, system and program product for creating a physical information environment for a specific industry type are presented. A candidate industry type is selected to describe a customer's operations. A set of information environment components, which is modeled and simulated in software and is specific for the candidate industry type, is selected. Inherent constraints, from the candidate industry type and the set of information environment components, are identified. The set of information environment components are then recursively optimized in order to comply with the inherent constraints and to meet the specific information environment requirements. Based on optimized information environment components, construction of a information environment is simulated in order to define an architecture of a simulated information environment for the candidate industry type. A physical information environment that comports with the architecture of the optimally simulated information environment is then constructed and deployed.
    • 提出了一种用于创建特定行业类型的物理信息环境的计算机实现的方法,系统和程序产品。 选择候选行业类型来描述客户的业务。 选择了一套以软件建模和模拟并针对候选行业类型的信息环境组件。 确定了来自候选行业类型和一组信息环境组件的固有约束。 然后对该组信息环境组件进行递归优化,以符合固有的约束条件并满足特定的信息环境要求。 基于优化的信息环境组件,模拟信息环境的构建,以确定候选行业类型的模拟信息环境的架构。 然后构建和部署与最佳模拟信息环境的架构相匹配的物理信息环境。