The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 31, 2023

Filed:

Feb. 23, 2021
Applicant:

Becton, Dickinson and Company, Franklin Lakes, NJ (US);

Inventors:

Vikas Gupta, Naperville, IL (US);

John Murray, Atlanta, GA (US);

Kalvin Yu, Venice, CA (US);

Hanna Jokinen-Gordon, Smyrna, GA (US);

Willem Folkerts, Westminster, MD (US);

Assignee:

Becton, Dickinson and Company, Franklin Lakes, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/50 (2018.01); G16H 70/20 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G16H 50/50 (2018.01); G16H 50/70 (2018.01); G16H 70/20 (2018.01);
Abstract

Systems and methods for selecting a treatment regimen for a particular patient are provided. The treatment regimen is selected using a first data store including a first plurality of patient records for a first plurality of patients, and a second data store including efficacy rates of a plurality of treatment regimens against a plurality of infections and infection-causing pathogens. The system, or a user of the system, identifies a first infection of the particular patient and a first treatment regimen to be prescribed to treat the first infection. A second plurality of patient records is generated by identifying, in the first plurality of patient records of the first data store, patient records associated with diagnosis or treatment of the first infection. The second plurality of patient records are appended with efficacy rates for the first infection from the second data store. Systems and methods of the present disclosure can use these appended records to generate a dynamic model configured to determine a likelihood estimation that the first treatment regimen is an appropriate treatment regimen to treat the first infection.


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