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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：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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6.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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