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.
Patent No.:
Date of Patent:
May. 03, 2022
Filed:
Oct. 25, 2020
Applicant:
Tnacity Blue Ocean Llc, Memphis, TN (US);
Inventors:
Scott K Laster, Memphis, TN (US);
Brian D. Childress, Richardson, TX (US);
Assignee:
Primary Examiner:
Int. Cl.
CPC ...
G16H 20/17 (2018.01); G16H 40/20 (2018.01); G16H 50/70 (2018.01); G16H 50/20 (2018.01); G16H 15/00 (2018.01); G06Q 50/00 (2012.01); G06Q 10/06 (2012.01); G06Q 10/10 (2012.01); G16H 20/13 (2018.01); G16H 40/67 (2018.01); G16H 80/00 (2018.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/1455 (2006.01); A61B 5/145 (2006.01); G16H 10/60 (2018.01); A61B 5/369 (2021.01); G06F 40/174 (2020.01); G06Q 40/08 (2012.01); G06Q 50/26 (2012.01); A61B 5/021 (2006.01); A61B 5/024 (2006.01); A61B 5/0245 (2006.01); A61B 5/08 (2006.01); A61B 5/0533 (2021.01); A61B 5/091 (2006.01);
U.S. Cl.
CPC ...
G16H 40/20 (2018.01); A61B 5/0022 (2013.01); A61B 5/0205 (2013.01); A61B 5/02055 (2013.01); A61B 5/14532 (2013.01); A61B 5/14551 (2013.01); A61B 5/369 (2021.01); A61B 5/4806 (2013.01); A61B 5/4845 (2013.01); A61B 5/4848 (2013.01); A61B 5/681 (2013.01); A61B 5/686 (2013.01); A61B 5/7275 (2013.01); G06Q 10/06316 (2013.01); G06Q 10/10 (2013.01); G06Q 50/01 (2013.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 20/13 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 80/00 (2018.01); A61B 5/021 (2013.01); A61B 5/024 (2013.01); A61B 5/0245 (2013.01); A61B 5/0533 (2013.01); A61B 5/082 (2013.01); A61B 5/091 (2013.01); G06F 40/174 (2020.01); G06Q 40/08 (2013.01); G06Q 50/26 (2013.01);
Abstract
Further system and methods associated there with can use a combination of big data, machine learning, and/or regression equations to make living care paths based on sensitivities, probability, and/or statistics, which increases the chances of a living care path being successful. System, in some embodiments, can also provide a visual representation of the treatment options and statistics to the patient and HCP. As configured, system can empower patients, making them more informed about their condition, expectations of recovery, and more confident in their HCP's recommended treatment measure.