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公开(公告)号：US20220172845A1
公开(公告)日：2022-06-02
申请号：US17676053
申请日：2022-02-18
发明人： Guangquan Su , Meredith Ann Barrett , Olivier Humblet , Chris Hogg , John David Van Sickle , Kelly Anne Henderson , Gregory F. Tracy
摘要： An application server predicts respiratory disease risk, rescue medication usage, exacerbation, and healthcare utilization using trained predictive models. The application server includes model modules and submodel modules, which communicate with a database server, data sources, and client devices. The submodel modules train submodels by determining submodel coefficients based on training data from the database server. The submodel modules further determine statistical analysis data and estimates for medication usage events, healthcare utilization, and other related events. The model modules combine submodels to predict respiratory disease risk, exacerbation, rescue medication usage, healthcare utilization, and other related information. Model outputs are provided to users, including patients, providers, healthcare companies, electronic health record systems, real estate companies and other interested parties.
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公开(公告)号：US20210082582A1
公开(公告)日：2021-03-18
申请号：US17049553
申请日：2019-05-20
发明人： Meredith A. BARRETT , Mike LOHMEIER , Shannon M. HAMILTON , Michael J. TUFFLI , Dmitry STUPAKOV , Christopher HOGG , John David VAN SICKLE , Gregory F. TRACY , Mark William SEHMER , Robert Austin LEE
IPC分类号： G16H50/80 , G16H10/60 , G16H50/70 , G16H40/67 , G16H20/17 , G16H50/30 , G16H50/20 , A61B5/00 , A61B5/11 , A61M15/00 , G01W1/00
摘要： This description provides risk notifications for a geographic region to inform patients and effect behavior changes to prevent rescue events and exacerbations from occurring. A risk analysis for a geographic region is based on data gathered from a population of patients who may experience respiratory events within the geographic region. Rescue medication events, environmental conditions relevant to the rescue medication events, and other contextually relevant information are detected by sensors associated with a population of patients' medicament device/s and are collected from other sources, respectively, to provide a basis to determine a risk score. This data is analyzed to determine the severity of the risk of a respiratory event occurring within a geographical region and accordingly sending a notification to patients within that geographical region.
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3.发明申请Device and Method to Monitor, Track, Map and Analyze Usage of Metered-Dose Inhalers in Real-Time 审中-公开监控，跟踪，映射和分析计量吸入器实时使用的设备和方法公开(公告)号：US20170072144A1
公开(公告)日：2017-03-16
申请号：US15364174
申请日：2016-11-29
CPC分类号： A61M15/008 , A61M15/00 , A61M2205/3306 , A61M2205/3317 , A61M2205/3553 , A61M2205/3592 , A61M2205/6027 , A61M2205/6054 , A61M2205/6063 , A61M2209/01 , G06F19/3418 , G06F19/3462
摘要： A system and method for accurately and reliably determining and recording the time, date and location where a medication is used, and a system and method for transmitting, collecting, and using that data to improve clinical care, disease management, and public health surveillance. The device allows information concerning drug usage, including the time, date and location of use, to be transmitted to a remote network computer system so that the data can be evaluated to determine current impairment and future risk, and to identify changes in the frequency, timing, or location of medication usage indicative of change in disease control or management, and to examine spatial, temporal or demographic patterns of medication use or absence of use among individuals and groups. In addition, the device may further be configured to transmit signals indicative of its status, condition or other results to the remote network computer system.
摘要翻译： 准确可靠地确定和记录使用药物的时间，日期和位置的系统和方法，以及用于传输，收集和使用该数据以改进临床护理，疾病管理和公共卫生监测的系统和方法。 该设备允许将关于药物使用的信息（包括时间，日期和使用位置）发送到远程网络计算机系统，以便可以评估数据以确定当前的损害和未来的风险，并且识别频率的变化， 时间安排或用于指示疾病控制或管理变化的药物用途的位置，以及检查个体和组之间药物使用或不使用的空间，时间或人口统计学模式。 另外，该设备还可被配置为向远程网络计算机系统发送指示其状态，条件或其他结果的信号。
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公开(公告)号：US11972864B2
公开(公告)日：2024-04-30
申请号：US17177099
申请日：2021-02-16
发明人： Christopher Hogg , Gregory F. Tracy , John David Van Sickle , Jason Grosz , Jeffrey J. Alexander , Chase Acton , Mike Lohmeier , John Kalmi , Dmitry Stupakov
摘要： A system and method for providing chronic obstructive pulmonary disease (COPD) exacerbation risk notifications in real time or near-real time is described. Rescue and controller medication events are detected by sensors associated with the patient's medicament device/s, and provide a basis to determine to rescue and controller medication use trends for the patient. This data is analyzed to determine the patient's risk for COPD exacerbation after each event, and is used to send notifications to one or both of the patient and their health care provider.
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公开(公告)号：US20230207113A9
公开(公告)日：2023-06-29
申请号：US17177099
申请日：2021-02-16
发明人： Christopher Hogg , Gregory F. Tracy , John David Van Sickle , Jason Grosz , Jeffrey J. Alexander , Chase Acton , Mike Lohmeier , John Kalmi , Dmitry Stupakov
摘要： A system and method for providing chronic obstructive pulmonary disease (COPD) exacerbation risk notifications in real time or near-real time is described. Rescue and controller medication events are detected by sensors associated with the patient's medicament device/s, and provide a basis to determine to rescue and controller medication use trends for the patient. This data is analyzed to determine the patient's risk for COPD exacerbation after each event, and is used to send notifications to one or both of the patient and their health care provider.
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公开(公告)号：US20220093262A1
公开(公告)日：2022-03-24
申请号：US17540186
申请日：2021-12-01
发明人： Meredith A. Barrett , Mike Lohmeier , Shannon M. Hamilton , Michael J. Tuffli , Dmitry Stupakov , Christopher Hogg , John David Van Sickle
摘要： This description provides asthma risk notifications in advance of predicted rescue usage events in order to help effect behavior changes in a patient to prevent those events from occurring. Rescue medication events, changes in environmental conditions, and other contextually relevant information are detected by sensors associated with the patient's medicament device/s and are collected from other sources, respectively, to provide a basis to determine a patient's risk score. This data is analyzed to determine the severity of the patient's risk for an asthma event and is used to send notifications accordingly.
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公开(公告)号：US20170140125A1
公开(公告)日：2017-05-18
申请号：US15351197
申请日：2016-11-14
发明人： Christopher Hogg , Gregory F. Tracy , John David Van Sickle , Dmitry Stupakov , Ki Hong Han , Mike Lohmeier , John Kalmi , Leah Morrell , Charles Clayton Donaldson
CPC分类号： G06F19/3462 , A61M15/0001 , A61M15/009 , A61M2202/064 , A61M2205/18 , A61M2205/3368 , A61M2205/3553 , A61M2205/3584 , A61M2205/50 , A61M2205/505 , A61M2205/52 , A61M2205/581 , G06F19/00 , G08B21/24 , G08B25/08 , H04W4/80 , H04W76/14
摘要： Systems and methods for monitoring accurate, real-time medicament device events, performing analytics on that data, and providing notifications are described. In various embodiments, an application server receives controller medication events, analyzes the events, associated event times, and controller medication dosage plans to characterize event times and send notifications for future doses. The controller medication dosage plan may specify a dose time for a planned dose, a narrow time window comprising the dose time, and an expanded time window comprising the narrow time window and longer in duration than the narrow time window, and the events may be characterized based on their time relative to the dose time, the time windows, and other events.
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公开(公告)号：US20210272685A1
公开(公告)日：2021-09-02
申请号：US17177099
申请日：2021-02-16
发明人： Chris Hogg , Gregory F. Tracy , John David Van Sickle , Jason Grosz , Jeffrey J. Alexander , Chase Acton , Mike Lohmeier , John Kalmi , Dmitry Stupakov
摘要： A system and method for providing chronic obstructive pulmonary disease (COPD) exacerbation risk notifications in real time or near-real time is described. Rescue and controller medication events are detected by sensors associated with the patient's medicament device/s, and provide a basis to determine to rescue and controller medication use trends for the patient. This data is analyzed to determine the patient's risk for COPD exacerbation after each event, and is used to send notifications to one or both of the patient and their health care provider.
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公开(公告)号：US20200321127A1
公开(公告)日：2020-10-08
申请号：US16904508
申请日：2020-06-17
发明人： Guangquan Su , Meredith Ann Barrett , Oliver Humblet , Christopher Hogg , John David Van Sickle , Kelly Anne Henderson , Gregory Tracy
摘要： An application server predicts respiratory disease risk, rescue medication usage, exacerbation, and healthcare utilization using trained predictive models. The application server includes model modules and submodel modules, which communicate with a database server, data sources, and client devices. The submodel modules train submodels by determining submodel coefficients based on training data from the database server. The submodel modules further determine statistical analysis data and estimates for medication usage events, healthcare utilization, and other related events. The model modules combine submodels to predict respiratory disease risk, exacerbation, rescue medication usage, healthcare utilization, and other related information. Model outputs are provided to users, including patients, providers, healthcare companies, electronic health record systems, real estate companies and other interested parties.
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10.发明申请公开(公告)号：US20190189258A1
公开(公告)日：2019-06-20
申请号：US15847382
申请日：2017-12-19
发明人： Meredith A. Barrett , Mike Lohmeier , Shannon M. Hamilton , Michael J. Tuffli , Dmitry Stupakov , Christopher Hogg , John David Van Sickle
CPC分类号： G16H20/10 , A61M15/008 , A61M2205/502 , G06Q10/1093 , G16H40/63
摘要： This description relates to insight into the asthma management habits of a patient or a plurality of patients. The provided information includes records of rescue medication usage events, records of controller medication events, and overall evaluations of a patients disease management. Users of the application may include both patients who may use the information to monitor their own habits or providers who may use the information to monitor patients or improve a patient's existing medication regimen.
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