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:
Sep. 12, 2023

Filed:

Jan. 27, 2021
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Ashish Omprakash Indani, Mumbai, IN;

Saurabh Das, Mumbai, IN;

Devraj Goulikar, Mumbai, IN;

Biswamohan Routray, Mumbai, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 10/40 (2018.01); G06Q 30/018 (2023.01); B33Y 50/00 (2015.01); B33Y 80/00 (2015.01); G16H 10/60 (2018.01); G16H 40/40 (2018.01); G06F 16/27 (2019.01); G06N 20/00 (2019.01); G16Y 10/25 (2020.01); G16Y 10/60 (2020.01); G06F 30/27 (2020.01); G16Y 40/20 (2020.01); A61L 2/24 (2006.01); A61L 2/28 (2006.01); G06Q 10/101 (2023.01); G06Q 50/04 (2012.01); G16H 40/20 (2018.01); G06Q 10/0639 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0185 (2013.01); A61L 2/24 (2013.01); A61L 2/28 (2013.01); B33Y 50/00 (2014.12); B33Y 80/00 (2014.12); G06F 16/27 (2019.01); G06F 30/27 (2020.01); G06N 20/00 (2019.01); G06Q 10/101 (2013.01); G06Q 50/04 (2013.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G16H 40/40 (2018.01); G16Y 10/25 (2020.01); G16Y 10/60 (2020.01); G16Y 40/20 (2020.01); A61L 2202/24 (2013.01); G06Q 10/06395 (2013.01); G16H 40/20 (2018.01);
Abstract

This disclosure relates to a system and method for custom made medical devices life cycle management, the life cycle management of the medical devices include tracking of material and procedure to be used in additive manufacturing of the medical device and analyzing design risk as per the raw material and the design specification. Further, it includes to identify potential hazards based upon the materials, their interactions and effect on process to be followed. An artificial intelligence (AI) enabled model is trained with one or more sample datasets pertaining to a plurality of materials to be used in the additive manufacturing to audit design, to determine materials to be used, and to generate a unique code to be used to label the manufactured medical device. A smart contract of blockchain is configured to record received input and update with new points for regulatory compliance.


Find Patent Forward Citations

Loading…