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:
Nov. 16, 2021

Filed:

May. 18, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Lee A. Carbonell, Flower Mound, TX (US);

Tsz Shing Cheng, Grand Prairie, TX (US);

Jeffrey L. Edgington, Keller, TX (US);

Pandian Mariadoss, Allen, TX (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G16H 80/00 (2018.01); G16H 10/60 (2018.01); G06F 40/20 (2020.01); G16H 50/00 (2018.01); G06Q 20/22 (2012.01); G06F 16/93 (2019.01); G06F 16/9535 (2019.01); G06F 16/2457 (2019.01); G16H 40/20 (2018.01); G06F 40/30 (2020.01); G06F 40/117 (2020.01); G16H 15/00 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G06F 40/20 (2020.01); G06F 16/24578 (2019.01); G06F 16/93 (2019.01); G06F 16/9535 (2019.01); G06F 40/117 (2020.01); G06F 40/30 (2020.01); G06Q 20/29 (2013.01); G06Q 30/0233 (2013.01); G16H 10/60 (2018.01); G16H 40/20 (2018.01); G16H 50/00 (2018.01); G16H 80/00 (2018.01); G16H 15/00 (2018.01); G16H 50/70 (2018.01);
Abstract

Systems and tools for sharing medical costs between prospective patients seeking treatment, and existing patients of a medical network. Prospective patients may actively query medical costs for specific conditions and treatments for the specific conditions previously experienced by existing patients. Existing patients contributing to the documents accessible by the medical network may upload anonymous versions of EOBs, medical bills and medical documents to the medical network in exchange for rewards. The prospective patients may communicate and query the desired information using natural language inputs to instruct a client computing system to search the medical network for relevant treatment information. The prospective patient may use natural language commands or other inputs to filter the query results by condition, location, cost, quality of service, service provider, insurance provider, or any other parameter that may be detailed by the medical documents accessible through the medical network.


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