George G Oliver

Author:

George Oliver

ISBN #:

0114951713

Author:

George Oliver

ISBN #:

0517366045

Author:

George Oliver

ISBN #:

0766108147

Author:

George Oliver

ISBN #:

0766132447

Author:

George Oliver

ISBN #:

0766132749

Author:

George Oliver

ISBN #:

0766141888

Author:

George Oliver

ISBN #:

0766145204

Author:

George Oliver

ISBN #:

0766157628

US Patent:

20130262357, Oct 3, 2013

Filed:

Sep 13, 2012

Appl. No.:

13/613980

Inventors:

Rubendran Amarasingham - Dallas TX, US
Timothy S. Swanson - Grapevine TX, US
Christopher A. Clark - Dallas TX, US
Yu Qian - Irving TX, US
Sambamurthy Nalla - Flower Mound TX, US
George R. Oliver - Southlake TX, US
Kimberly P. Gerra - Keller TX, US
Ying Ma - Southlake TX, US

International Classification:

G06F 19/00

US Classification:

706 21

Abstract:

A clinical predictive and monitoring system comprising a data store operable to receive and store data associated with a plurality of patients selected from medical and health data; and a number of social, behavioral, lifestyle, and economic data; at least one predictive model to identify at least one high-risk patient associated with at least one medical condition; a risk logic module operable to apply the at least one predictive model to the patient data to determine at least one risk score associated the at least one medical condition and identify at least one high-risk patient; a data presentation module operable to present notification and information to an intervention coordination team about the identified at least one high-risk patient; and an artificial intelligence tuning module adapted to automatically adjust parameters in the predictive model in response to trends in the patient data.

US Patent:

20140074509, Mar 13, 2014

Filed:

Sep 5, 2013

Appl. No.:

14/018514

Inventors:

Timothy S. Swanson - Grapevine TX, US
Sambamurthy Nalla - Flower Mound TX, US
Yu Qian - San Diego CA, US
George R. Oliver - Southlake TX, US
Kimberly P. Gerra - Keller TX, US

Assignee:

Parkland Health & Hospital System - Dallas TX

International Classification:

G06F 19/00

US Classification:

705 3

Abstract:

A dashboard user interface method comprises displaying a navigable list of at least one target disease, displaying a navigable list of patient identifiers associated with a target disease selected in the target disease list, displaying historic and current data associated with a patient in the patient list identified as being associated with the selected target disease, including clinician notes at admission, receiving, storing, and displaying review's comments, and displaying automatically-generated intervention and treatment recommendations.

US Patent:

20230070616, Mar 9, 2023

Filed:

Sep 7, 2022

Appl. No.:

17/939921

Inventors:

George R. Oliver - Southlake TX, US
Steve Miff - Dallas TX, US
Thomas Roderick - Frisco TX, US

International Classification:

G16H 50/80

Abstract:

A system comprises a data ingestion logic configured to receive pandemic data associated with susceptible, exposed, infected, recovered, and vaccinated people in a community; a data analysis logic configured to weigh, normalize, calculate, or use artificial intelligence to analyze the received pandemic data; and a dashboard configured to visually present values for a plurality of indicators; wherein the data analysis logic includes a herd immunity module determining values associated with an accurate estimation of herd immunity.

US Patent:

20210366621, Nov 25, 2021

Filed:

May 21, 2021

Appl. No.:

17/327259

Inventors:

- Dallas TX, US
Akshay Arora - Irving TX, US
Mansi Kukreja - Dallas TX, US
Albert Karam - Garland TX, US
Manjula Julka - Plano TX, US
George Oliver - Southlake TX, US

International Classification:

G16H 50/80
G16H 50/30
G06N 20/00
G06F 40/20

Abstract:

The personal pandemic proximity index system and method include a data ingestion pipeline configured to receive location data associated with disease-positive cases, a data processing module configured to clean and process the received data, a personal pandemic proximity module configured to determine a numerical personal pandemic proximity index value associated with an individual having an interaction at an address relative to the location data, and a graphical user interface configured to present, to a patient care team, the numerical personal pandemic proximity index value, which may include a modified workflow to limit the spread of disease.

US Patent:

20210334462, Oct 28, 2021

Filed:

Apr 23, 2020

Appl. No.:

16/857157

Inventors:

- Dallas TX, US
Albert Karam - Addison TX, US
Akshay Aroroa - Irving TX, US
George Oliver - Southlake TX, US

International Classification:

G06F 40/295
G06F 40/205
G16H 50/30

Abstract:

A system and method for analyzing a string of unstructured text includes parsing the string of unstructured text, recognizing at least one word in the string of unstructured text representing at least one named entity, searching for at least one word in the string of unstructured text representing a negation expression preceding the at least one named entity, searching for at least one word in the string of unstructured text representing a negation expression following the at least one named entity, and tagging the at least one named entity as at least one negative named entity in response to identifying at least one word representing a negation expression preceding or following the at least one named entity.

US Patent:

20170132371, May 11, 2017

Filed:

Oct 18, 2016

Appl. No.:

15/297107

Inventors:

- Dallas TX, US
George Oliver - Southlake TX, US
Timothy Scott Swanson - Grapevine TX, US
Allison Gilley - Dallas TX, US
Ellen Araj - Dallas TX, US
Ying Ma - Southlake TX, US
Paea LePendu - Dallas TX, US
Yukun Chen - Dallas TX, US
Nora Huri - Dallas TX, US
Anand Shah - Dallas TX, US

International Classification:

G06F 19/00
G06F 17/21
G06F 17/30
G06F 17/27

Abstract:

A computerized method of automated patient chart review includes receiving a selection of a particular patient, automatically parsing at least one document of a patient's medical record having structured data and natural language data, automatically generating a list of variables from the patient's medical record, automatically generating a list of important variables from the list of variables associated with a specific clinical event from the structured data and natural language data. Predictive modeling and artificial intelligence are used to analyze the patient data, reviewer actions, and reviewer feedback data.

US Patent:

20170061093, Mar 2, 2017

Filed:

Aug 25, 2015

Appl. No.:

14/835698

Inventors:

Rubendran AMARASINGHAM - Dallas TX, US
Timothy S. SWANSON - Grapevine TX, US
Sambamurthy NALLA - Flower Mound TX, US
Yu QIAN - San Diego CA, US
George R. Oliver - Southlake TX, US
Kimberly P. GERRA - Keller TX, US

International Classification:

G06F 19/00

Abstract:

A dashboard user interface method includes displaying a navigable list of patients each associated with a target disease with a calculated risk level, displaying historic and current data associated with a selected patient in the patient list identified as being associated with the target disease, displaying an identification of key factors in the selected patient's health data that contribute to the risk level for the selected patient with respect to the target disease, receiving and displaying care management notes for transitional care intervention for the selected patient, and displaying automatically-generated intervention and treatment recommendations.

US Patent:

20150213202, Jul 30, 2015

Filed:

Apr 9, 2015

Appl. No.:

14/682610

Inventors:

- Dallas TX, US
George R. Oliver - Southlake TX, US
Anand R. Shah - Dallas TX, US
Vaidyanatha Siva - Plano TX, US
Brian O. Lucena - Dallas TX, US
Monal Shah - Dallas TX, US
Praseetha Cherian - Irving TX, US
Spencer Ballard - Allen TX, US
Jason McGinn - Keller TX, US

International Classification:

G06F 19/00

Abstract:

A holistic hospital patient care and management system comprises a data store operable to receive and store patient data including clinical and non-clinical data; a patient engagement logic module to display survey questions to solicit preference and medical and non-medical issue input from the patients; a risk logic module to apply at least one predictive model to the clinical and non-clinical data to determine at least one risk score associated with the patients, and to stratify the risks associated with the plurality of patients in response to the risk scores; and the patient engagement logic module further configured to display educational information including selected information from the data store, the at least predictive model, and the risk logic module.