Patient financial advocacy system
    1.
    发明授权
    Patient financial advocacy system 有权
    病人金融倡导制度

    公开(公告)号:US08682689B1

    公开(公告)日:2014-03-25

    申请号:US12924861

    申请日:2010-10-07

    IPC分类号: G06Q50/00

    CPC分类号: G06Q50/22 G06F19/00

    摘要: A patient financial advocacy system is disclosed for identifying potential funding sources for uninsured patients and for the patient portion of healthcare debts that are covered by managed healthcare plans by automating the identification of potential funding sources and automating the collection of data required by such potential funding sources. The system is an automated system ad includes three stages, namely, a detection stage; an execution stage and a measurement stage. In the detection stage, a multi-tiered questionnaire is used during a patient interview to identify potential funding sources. In accordance with an important aspect of the invention, the questionnaire is structured to find the funding source with the highest yield. A rules engine is programmed to analyze the patient's answers to the questions and identify a potential funding source. In the execution stage, the rules engine is further programmed with specific questionnaires structured to gather all of the required data of the identified funding source. The execution stage identifies all steps required for applying for the specific funding source. In the measurement stage, the system determines the best possible yield for all identified patient funding sources.

    摘要翻译: 披露了一个病人的财务支持系统,用于通过自动识别潜在的资金来源并自动收集这些潜在资金来源所需的数据,为未保险的患者和医疗保健计划所涵盖的患者部分医疗保健债务确定潜在的资金来源 。 该系统是一个自动化系统广告,包括三个阶段,即检测阶段; 执行阶段和测量阶段。 在检测阶段,在病人面试期间使用多层问卷来确定潜在的资金来源。 根据本发明的一个重要方面,调查问卷的结构是以最高的收益率找到资金来源。 规则引擎被编程为分析患者对问题的回答并识别潜在的资金来源。 在执行阶段,规则引擎进一步编程为具有特定问卷调查结构,以收集所识别的资金来源的所有必需数据。 执行阶段确定申请特定资金来源所需的所有步骤。 在测量阶段,系统确定所有确定的患者资金来源的最佳收益。

    Automated accounts receivable management system with a self learning engine driven by current data
    2.
    发明授权
    Automated accounts receivable management system with a self learning engine driven by current data 有权
    自动化应收账款管理系统,具有由当前数据驱动的自学习引擎

    公开(公告)号:US08688480B1

    公开(公告)日:2014-04-01

    申请号:US12799624

    申请日:2010-04-28

    IPC分类号: G06Q40/00 G06Q10/00 G06Q50/00

    摘要: An automated system is disclosed for managing accounts receivable for outstanding healthcare accounts. In particular, the system in accordance with the present invention is an automated system which preemptively assesses the risk of denials of outstanding healthcare accounts by way of a self-learning engine driven by current data and prioritizes those accounts for follow up according to the risk profile of the account. As such, the system is able to minimize denials by the respective payers thereby improving optimizing the efforts of healthcare accounts receivable personnel while improving the revenue yield and minimizing the revenue cycle.

    摘要翻译: 披露了一个自动化系统来管理优秀医疗账户的应收账款。 特别地,根据本发明的系统是一种自动化系统,其通过根据当前数据驱动的自学习引擎来先发性地评估拒绝未完成的医疗保健账户的风险,并且根据风险简档来优先考虑这些账户的后续跟踪 的帐户。 因此,该系统能够最大限度地减少相应付款人的否认,从而改善医疗保健应收账款人员的努力,同时提高收入收益并最大限度地减少收入周期。