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    SYSTEM AND METHOD FOR MANAGING MEDICAL DATA AND FACILITATING REIMBURSEMENT FOR HEALTH CARE
    3.
    发明申请
    SYSTEM AND METHOD FOR MANAGING MEDICAL DATA AND FACILITATING REIMBURSEMENT FOR HEALTH CARE 审中-公开
    用于管理医疗数据和促进健康护理的系统和方法

    公开(公告)号：US20110166875A1

    公开(公告)日：2011-07-07

    申请号：US12985233

    申请日：2011-01-05

    申请人： Gary A. Hayter ,  Charles Wei ,  Marc B. Taub

    发明人： Gary A. Hayter ,  Charles Wei ,  Marc B. Taub

    IPC分类号： G06Q50/00 ,  G06Q10/00

    CPC分类号： G06Q50/22 ,  G06Q10/10

    摘要： System and method receive medical data of a patient having a disease afflicted health condition for processing and analysis of that data. Software installed on a health care provider's computer for processing the medical data includes a GUI reimbursement window that informs the HCP of reimbursement possibilities for analysis of the data and counseling of the patient. The reimbursement window also includes hyperlinks and may also include codes for insurance claims. Lists of reimbursement entities, pre-authorization instructions, coding instructions, and contacts may all be included and may be personalized for a particular patient. In one case, a complete bill is created and submitted to an insurance entity. In another, a patient data base is created so that the reimbursement window can inform the HCP of patient analysis frequency, which may affect reimbursement.

    摘要翻译： 系统和方法接收具有疾病影响的健康状况的患者的医疗数据，用于处理和分析该数据。 在医疗保健提供者的计算机上安装的用于处理医疗数据的软件包括GUI报销窗口，其向HCP通知用于分析患者的数据和咨询的可能性。 报销窗口还包括超链接，还可能包括保险索赔代码。 报销实体，预授权指令，编码说明和联系人的列表可以全部包括在内，并且可以针对特定患者进行个性化。 在一种情况下，创建完整的帐单并提交给保险实体。 另一方面，创建了一个病人数据库，以便报销窗口可以向HCP通知患者分析频率，这可能会影响报销。

    METHOD OF OVERNIGHT CLOSED-LOOP INSULIN DELIVERY WITH MODEL PREDICTIVE CONTROL AND GLUCOSE MEASUREMENT ERROR MODEL
    10.
    发明申请
    METHOD OF OVERNIGHT CLOSED-LOOP INSULIN DELIVERY WITH MODEL PREDICTIVE CONTROL AND GLUCOSE MEASUREMENT ERROR MODEL 有权
    用模型预测控制和葡萄糖测量误差模型的闭合闭合胰岛素分娩方法

    公开(公告)号：US20120010600A1

    公开(公告)日：2012-01-12

    申请号：US13240855

    申请日：2011-09-22

    申请人： Malgorzata E. Wilinska ,  Erwin S. Budiman ,  Gary A. Hayter ,  Marc B. Taub ,  Roman Hovorka

    发明人： Malgorzata E. Wilinska ,  Erwin S. Budiman ,  Gary A. Hayter ,  Marc B. Taub ,  Roman Hovorka

    IPC分类号： A61M5/00

    CPC分类号： A61M5/1723 ,  A61B5/14532 ,  A61B5/1495 ,  A61M5/142 ,  A61M2005/14208 ,  A61M2005/14292 ,  A61M2005/14296 ,  A61M2205/50 ,  A61M2205/52 ,  A61M2205/70 ,  A61M2230/201 ,  G06F19/00 ,  G06F19/3468

    摘要： A closed-loop method for insulin infusion overnight uses a model predictive control algorithm (“MPC”). Used with the MPC is a glucose measurement error model which was derived from actual glucose sensor error data. That sensor error data included both a sensor artifacts component, including dropouts, and a persistent error component, including calibration error, all of which was obtained experimentally from living subjects. The MPC algorithm advised on insulin infusion every fifteen minutes. Sensor glucose input to the MPC was obtained by combining model-calculated, noise-free interstitial glucose with experimentally-derived transient and persistent sensor artifacts associated with the FreeStyle Navigator® Continuous Glucose Monitor System (“FSN”). The incidence of severe and significant hypoglycemia reduced 2300- and 200-fold, respectively, during simulated overnight closed-loop control with the MPC algorithm using the glucose measurement error model suggesting that the continuous glucose monitoring technologies facilitate safe closed-loop insulin delivery.

    摘要翻译： 胰岛素输注过夜的闭环方法使用模型预测控制算法（“MPC”）。 与MPC一起使用的是葡萄糖测量误差模型，该误差模型来自实际的葡萄糖传感器误差数据。 该传感器误差数据包括传感器伪像分量，包括丢失，以及包括校准误差在内的持续误差分量，所有这些均由实验受试者实验获得。 MPC算法建议胰岛素输注每十五分钟。 通过将模型计算的无噪声间质葡萄糖与与FreeStyleNavigator®连续葡萄糖监测系统（“FSN”）相关的实验衍生的瞬时和持续传感器伪像组合，可以获得传感器葡萄糖输入到MPC。 在使用葡萄糖测量误差模型的MPC算法模拟过夜闭环控制期间，严重和显着低血糖的发生率分别降低了2300和200倍，表明连续葡萄糖监测技术有助于安全闭环胰岛素输送。