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. 08, 2022

Filed:

Aug. 18, 2016
Applicant:

Synaptive Medical Inc., Toronto, CA;

Inventors:

Cameron Anthony Piron, Toronto, CA;

Arun Victor Jagga, Mississauga, CA;

Murugathas Yuwaraj, Markham, CA;

Thanh Vinh Vuong, Kitchener, CA;

Assignee:

Synaptive Medical Inc., Toronto, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 10/60 (2018.01); G16H 30/40 (2018.01); G16H 30/20 (2018.01); G06Q 30/04 (2012.01); G06F 21/45 (2013.01); G06F 21/62 (2013.01);
U.S. Cl.
CPC ...
G16H 10/60 (2018.01); G06F 21/45 (2013.01); G06F 21/6254 (2013.01); G06Q 30/04 (2013.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01);
Abstract

A method and system is provided for recording a health care event, optimizing medical procedures and calculating reimbursement. The method includes: acquiring metadata comprising a patient identifier, a practitioner identifier, a health care site identifier, an entry time and a medical reason for the health care event; receiving a reimbursement request; generating a procedures list based on the medical reason; selecting a procedure; generating a list of required data types and a list of required quality data for the procedure; acquiring raw data comprising the procedure, a medical device identifier, an entry time and one or more quality data from the medical device for the procedure; and calculating a reimbursement for the health care event based on the procedure, the medical device identifier, the required quality data and the quality data from the medical device. The method implements iterative learning using the collected data to determine optimal health care procedures.


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