Brian Christopher Ellison

US Patent:

20230056899, Feb 23, 2023

Filed:

Nov 7, 2022

Appl. No.:

17/982277

Inventors:

- Waltham MA, US
Len Usvyat - Boston MA, US
Joanna L. Willetts - Framingham MA, US
Melissa C. Herman - Ladson SC, US
Brian C. Ellison - Atlanta GA, US
Judith E. Moran - Somerset NJ, US
Dinesh K. Chatoth - Suwanee GA, US

Assignee:

FRESENIUS MEDICAL CARE HOLDINGS, INC. - Waltham MA

International Classification:

G16H 50/70
G16H 15/00
G16H 50/30
G16H 10/20

Abstract:

A method and system for determining a patient's risk of developing an infection is disclosed. In one embodiment, the system and method includes extracting patient data from one or more databases corresponding to a pool of patients receiving treatment; using one or more predictive models with the extracted patient data to generate, for each of the patients in the pool of patients, a respective patient risk score for developing an infection within a selected time period; generating a report including at least a portion of the identified subset of the pool of patients and their respective patient risk scores; and transmitting the report to one or more health care facilities, the one or more health care facilities further identifying one or more patients from the portion of the identified subset of the pool of patients for interventional treatment, consultation, training, or combinations thereof.

US Patent:

20200005947, Jan 2, 2020

Filed:

Jun 28, 2019

Appl. No.:

16/456510

Inventors:

- Waltham MA, US
Len Usvyat - Boston MA, US
Joanna L. Willetts - Framingham MA, US
Melissa C. Herman - Ladson SC, US
Brian C. Ellison - Atlanta GA, US
Judith E. Moran - Somerset NJ, US
Dinesh K. Chatoth - Suwanee GA, US

International Classification:

G16H 50/70
G16H 50/30
G16H 15/00
G16H 10/20

Abstract:

A method and system for determining a patient's risk of developing an infection is disclosed. In one embodiment, the system and method includes extracting patient data from one or more databases corresponding to a pool of patients receiving treatment; using one or more predictive models with the extracted patient data to generate, for each of the patients in the pool of patients, a respective patient risk score for developing an infection within a selected time period; generating a report including at least a portion of the identified subset of the pool of patients and their respective patient risk scores; and transmitting the report to one or more health care facilities, the one or more health care facilities further identifying one or more patients from the portion of the identified subset of the pool of patients for interventional treatment, consultation, training, or combinations thereof.