Megan R Quick

US Patent:

20210124487, Apr 29, 2021

Filed:

Dec 10, 2020

Appl. No.:

17/118021

Inventors:

- KANSAS CITY KS, US
Megan Kathleen Quick - Kansas City MO, US
Daniel Craig Crough - Overland Park KS, US

International Classification:

G06F 3/06
G16H 50/20

Abstract:

Computerized systems and methods facilitate preventing dangerous blood glucose levels using a predictive model to predict whether a particular patient is trending to have dangerous blood glucose levels. The predictive model may be built using logistic or linear regression models incorporating glucose data associated with a plurality of patients received from a plurality of sources. The glucose data may include context data and demographic data associated with the glucose data and the plurality of patients. The predictive model may be employed to predict a likelihood of a particular patient to have dangerous blood glucose levels. Based on the likelihood, the prediction and one or more interventions are communicated to a care team or the patient. The one or more interventions may be incorporated into a clinical device workflow associated with a clinician on the care team or the patient.

US Patent:

20210043287, Feb 11, 2021

Filed:

Oct 28, 2020

Appl. No.:

17/082644

Inventors:

- Kansas City KS, US
ANDREA K. HARRINGTON - LEE'S SUMMIT MO, US
MEGAN K. QUICK - KANSAS CITY MO, US
BHARAT B. SUTARIYA - PARKVILLE MO, US

International Classification:

G16H 10/60
G16H 50/20
G16H 40/20
G16H 50/30
G16H 20/00
G16H 40/67

Abstract:

Methods, systems, and computer-readable media are provided for identifying, stratifying, and prioritizing patients who are eligible for care management services. For each patient, patient health data is used to determine one or more of a disease burden associated with the patient, an amount of health system utilization by the patient, and an amount of money spent on healthcare services for the patient. It is further determined if the patient exceeds a respective threshold value associated with each of these criteria. If the patient exceeds the respective threshold value, the patient is stratified into a category comprising one of high-risk senior, high-risk adult, high-risk pediatrics, or high-risk maternity. The patient may also be prioritized based on one or more factors, and a notification may be sent to the patient informing the patient of his/her eligibility for care management services.

US Patent:

20190026023, Jan 24, 2019

Filed:

Sep 13, 2018

Appl. No.:

16/130793

Inventors:

- Kansas City KS, US
Megan Kathleen Quick - Kansas City MO, US
Daniel Craig Crough - Overland Park KS, US

International Classification:

G06F 3/06

Abstract:

Computerized systems and methods facilitate preventing dangerous blood glucose levels using a predictive model to predict whether a particular patient is trending to have dangerous blood glucose levels. The predictive model may be built using logistic or linear regression models incorporating glucose data associated with a plurality of patients received from a plurality of sources. The glucose data may include context data and demographic data associated with the glucose data and the plurality of patients. The predictive model may be employed to predict a likelihood of a particular patient to have dangerous blood glucose levels. Based on the likelihood, the prediction and one or more interventions are communicated to a care team or the patient. The one or more interventions may be incorporated into a clinical device workflow associated with a clinician on the care team or the patient.

US Patent:

20160180040, Jun 23, 2016

Filed:

Dec 23, 2014

Appl. No.:

14/581052

Inventors:

- Kansas City KS, US
MEGAN KATHLEEN QUICK - KANSAS CITY MO, US
DANIEL CRAIG CROUGH - OVERLAND PARK KS, US

International Classification:

G06F 19/00
G06N 7/00

Abstract:

Computerized systems and methods facilitate preventing dangerous blood glucose levels using a predictive model to predict whether a particular patient is trending to have dangerous blood glucose levels. The predictive model may be built using logistic or linear regression models incorporating glucose data associated with a plurality of patients received from a plurality of sources. The glucose data may include context data and demographic data associated with the glucose data and the plurality of patients. The predictive model may be employed to predict a likelihood of a particular patient to have dangerous blood glucose levels. Based on the likelihood, the prediction and one or more interventions are communicated to a care team or the patient. The one or more interventions may be incorporated into a clinical device workflow associated with a clinician on the care team or the patient.

US Patent:

20160125143, May 5, 2016

Filed:

Dec 29, 2014

Appl. No.:

14/584644

Inventors:

- KANSAS CITY KS, US
Andrea K. Harrington - Lee's Summit MO, US
Megan K. Quick - Kansas City MO, US
Bharat B. Sutariya - Parkville MO, US

International Classification:

G06F 19/00

Abstract:

Methods, systems, and computer-readable media are provided for identifying, stratifying, and prioritizing patients who are eligible for care management services. For each patient, patient health data is used to determine one or more of a disease burden associated with the patient, an amount of health system utilization by the patient, and an amount of money spent on healthcare services for the patient. It is further determined if the patient exceeds a respective threshold value associated with each of these criteria. If the patient exceeds the respective threshold value, the patient is stratified into a category comprising one of high-risk senior, high-risk adult, high-risk pediatrics, or high-risk maternity. The patient may also be prioritized based on one or more factors, and a notification may be sent to the patient informing the patient of his/her eligibility for care management services.

US Patent:

20140100883, Apr 10, 2014

Filed:

Oct 8, 2013

Appl. No.:

14/048377

Inventors:

- Kansas City KS, US
BHARAT SUTARIYA - PARKVILLE MO, US
TEHSIN SYED - KANSAS CITY MO, US
MEGAN QUICK - KANSAS CITY KS, US

Assignee:

CERNER INNOVATION, INC. - Kansas City KS

International Classification:

G06Q 50/24
G06Q 10/06

US Classification:

705 3

Abstract:

Methods, systems, and computer-readable media are provided for healthcare organizations to manage financial and clinical objectives between payers, providers, and patients. A healthcare organization's organizational data is accessed to identify quality measure contract objectives contained in contracts between the healthcare organization and its payers. Patient data of patients in scorable patient groups is accessed to determine if the patients meet the quality measure contract objectives. If so, a financial incentive is determined. If the patients do not meet the quality measure contract objectives, recommendations are automatically generated to increase the likelihood of the patients meeting the quality measure contract objectives