Christopher W Hogg

US Patent:

20220254499, Aug 11, 2022

Filed:

Jul 23, 2020

Appl. No.:

17/628877

Inventors:

- Madison WI, US
Mike Lohmeier - Sun Prairie WI, US
Christopher Hogg - San Francisco CA, US
John David Van Sickle - Oregon WI, US
Nicholas John Hirons - Madison WI, US

International Classification:

G16H 50/30
G16H 10/60
G16H 20/13

Abstract:

An asthma analytics system 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.

US Patent:

20230067924, Mar 2, 2023

Filed:

Apr 22, 2022

Appl. No.:

17/727548

Inventors:

- Madison WI, US
Mike Lohmeier - Sun Prairie WI, US
Shannon M. Hamilton - Berkeley CA, US
Michael J. Tuffli - Kentfield CA, US
Dmitry Stupakov - Cupertino CA, US
Christopher Hogg - San Francisco CA, US
John David Van Sickle - Oregon WI, US

International Classification:

G16H 20/10
A61M 15/00
G16H 10/60
G16H 20/13

Abstract:

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.

US Patent:

20230038292, Feb 9, 2023

Filed:

Aug 16, 2022

Appl. No.:

17/889262

Inventors:

- Madison WI, US
Robert Austin Lee - San Francisco CA, US
John David Van Sickle - Oregon WI, US
Christopher Hogg - San Francisco CA, US
Michael Lohmeier - Sun Prairie WI, US
Lucas Karl Dailey - Madison WI, US
Mark William Sehmer - Stoughton WI, US
Ki Hong Han - Dublin CA, US
Ian Daniel Alderman - Fitchburg WI, US

International Classification:

G16H 50/30
G16H 10/60

Abstract:

This description provides trigger identification notifications to patients suffering from respiratory diseases based on large amounts of patient data in order to help effect behavior changes in a patient to prevent inhaler rescue usage events from occurring. Rescue medication events, environmental conditions, and other contextually relevant patient information are detected by sensors associated with the patient's medicament devices and are collected from other sources, respectively to provide a basis to determine identify various triggers of recue inhaler usage events for a patient. Each trigger is analyzed to determine the severity of the patient's reaction to the trigger and is used to send notifications accordingly.

US Patent:

20210082582, Mar 18, 2021

Filed:

May 20, 2019

Appl. No.:

17/049553

Inventors:

- Madison WI, US
Mike LOHMEIER - Sun Prairie WI, US
Shannon M. HAMILTON - Berkeley CA, US
Michael J. TUFFLI - Kentfield CA, US
Dmitry STUPAKOV - Cupertino CA, US
Christopher HOGG - San Francisco CA, US
John David VAN SICKLE - Oregon WI, US
Gregory F. TRACY - Madison WI, US
Mark William SEHMER - Stoughton WI, US
Robert Austin LEE - San Francisco CA, US

International Classification:

G16H 50/80
G16H 10/60
G16H 50/70
G16H 40/67
G16H 20/17
G16H 50/30
G16H 50/20
A61B 5/00
A61B 5/11
A61M 15/00
G01W 1/00

Abstract:

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.

US Patent:

20200321127, Oct 8, 2020

Filed:

Jun 17, 2020

Appl. No.:

16/904508

Inventors:

- Madison WI, US
Meredith Ann Barrett - Redwood City CA, US
Oliver Humblet - Palo Alto CA, US
Christopher Hogg - San Francisco CA, US
John David Van Sickle - Oregon WI, US
Kelly Anne Henderson - San Francisco CA, US
Gregory Tracy - Madison WI, US

International Classification:

G16H 50/20
G06N 20/00

Abstract:

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.

US Patent:

20200058403, Feb 20, 2020

Filed:

Aug 16, 2018

Appl. No.:

16/104092

Inventors:

- Madison WI, US
Robert Austin Lee - San Francisco CA, US
John David Van Sickle - Oregon WI, US
Christopher Hogg - San Francisco CA, US
Michael Lohmeier - Sun Prairie WI, US
Lucas Karl Dailey - Madison WI, US
Mark William Sehmer - Stoughton WI, US
Ki Hong Han - Dublin CA, US
Ian Daniel Alderman - Fitchburg WI, US

International Classification:

G16H 50/30
G16H 10/60

Abstract:

This description provides trigger identification notifications to patients suffering from respiratory diseases based on large amounts of patient data in order to help effect behavior changes in a patient to prevent inhaler rescue usage events from occurring. Rescue medication events, environmental conditions, and other contextually relevant patient information are detected by sensors associated with the patient's medicament devices and are collected from other sources, respectively to provide a basis to determine identify various triggers of rescue inhaler usage events for a patient. Each trigger is analyzed to determine the severity of the patient's reaction to the trigger and is used to send notifications accordingly.

US Patent:

20190272925, Sep 5, 2019

Filed:

Mar 1, 2019

Appl. No.:

16/290820

Inventors:

- Madison WI, US
Guangquan Su - Alameda CA, US
Michael J. Tuffli - Kentfield CA, US
Michael Lohmeier - Sun Prairie WI, US
Robert Austin Lee - San Francisco CA, US
Christopher Hogg - San Francisco CA, US
John David Van Sickle - Oregon WI, US
Gregory F. Tracy - Madison WI, US
Nicholas John Hirons - Oakland CA, US

International Classification:

G16H 50/30
G16H 50/80

Abstract:

A respiratory disease analytics system provides respiratory disease risk reports to a patient, provider, or third-party entity describing a patient's risk of experiencing a medication usage event given data in a geographic region. Regional data, including air pollutant conditions, weather conditions, demographic information, built environment factors, and regional health conditions for a geographic region are accessed from other sources and assigned based on event data recorded during a medicament usage event, as collected by sensors associated with the patient's medicament device/s. The regional data is assigned to medicament usage events occurring within a period of time. The assigned regional data is analyzed to determine an expected number of medication usage events for the geographic region occurring over the period of time.

US Patent:

20190189258, Jun 20, 2019

Filed:

Dec 19, 2017

Appl. No.:

15/847382

Inventors:

- Madison WI, US
Mike Lohmeier - Sun Prairie WI, US
Shannon M. Hamilton - Berkeley CA, US
Michael J. Tuffli - Kentfield CA, US
Dmitry Stupakov - Cupertino CA, US
Christopher Hogg - San Francisco CA, US
John David Van Sickle - Oregon WI, US

International Classification:

G16H 20/10
A61M 15/00

Abstract:

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.