SYSTEM AND METHOD FOR AUTOMATED ANALYTIC PROCESS FLOWS TO IMPROVE HEALTH OUTCOMES AND MANAGE HEALTHCARE COSTS
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    发明申请
    SYSTEM AND METHOD FOR AUTOMATED ANALYTIC PROCESS FLOWS TO IMPROVE HEALTH OUTCOMES AND MANAGE HEALTHCARE COSTS 审中-公开
    用于自动分析过程的系统和方法,以改善健康成果和管理健康成本

    公开(公告)号:US20160140461A1

    公开(公告)日:2016-05-19

    申请号:US14547706

    申请日:2014-11-19

    CPC classification number: G06Q10/063 G06Q50/22

    Abstract: A system and method for automating analytic processes to improve health outcomes and manage healthcare costs. Data associated with healthcare encounters with managed care organizations (MCOs) is acquired. Findings, predictions, and recommendations for tracking services provided by the MCOs are identified with analytic flows that are based on the data. Relations between the services provided by the MCOs and the healthcare encounters are identified. Utilization statistics are extracted from the data with the analytic processes. Information from the utilization statistics relevant to the healthcare encounters is output.

    Abstract translation: 用于自动分析过程以改善健康结果并管理医疗成本的系统和方法。 与管理型医疗机构(MCO)的医疗保健相关的数据被收购。 由MCO提供的跟踪服务的结果,预测和建议用基于数据的分析流量来确定。 确定了MCO提供的服务与医疗保健相关之间的关系。 利用统计数据从分析过程的数据中提取。 输出与医疗保健相关的利用统计信息。

    SYSTEM AND METHOD FOR SCORING THE PERFORMANCE OF HEALTHCARE ORGANIZATIONS

    公开(公告)号:US20170372028A1

    公开(公告)日:2017-12-28

    申请号:US15189859

    申请日:2016-06-22

    CPC classification number: G16H50/30 G16H40/20

    Abstract: A method of evaluating managed care organizations (MCOs) includes acquiring medical data associated with patients' healthcare encounters with the MCOs, calculating a health risk score of a subpopulation using patient characteristic data included in the medical data, providing encounter data included in the medical data and the health risk score as input to analytic processes that track services provided by the MCOs, and generating a risk-adjusted performance metric of the MCOs by the analytic processes. The risk-adjusted performance metrics relate to categories of concern. The method further includes generating a standardized score for each of the risk-adjusted performance metrics based on a comparison of the subpopulation with an entire population, assigning a weight to each of the standardized scores based on an importance level of each category of concern, and generating a final score corresponding to a performance category for each of the MCOs based on the standardized scores.

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