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:
Jan. 26, 2021

Filed:

Jan. 07, 2016
Applicant:

Amino, Inc., San Francisco, CA (US);

Inventors:

David A. Vivero, San Francisco, CA (US);

Jorge A. Caballero, Menlo Park, CA (US);

Abraham M. Othman, San Francisco, CA (US);

Farid Jamshidian, South San Francisco, CA (US);

Eithon Michael Galinato Cadag, Foster City, CA (US);

Abhinav Chowdary Yarlagadda, San Francisco, CA (US);

James Lyon Fingal, San Francisco, CA (US);

Nicholas C. Dunkman, San Francisco, CA (US);

Kunal Dhiren Shah, San Francisco, CA (US);

Willard Kirk Strauser, Alameda, CA (US);

Michael H. Lin, Saratoga, CA (US);

Mary Audrey Hampden, Alameda, CA (US);

Sumul Mahendra Shah, Alameda, CA (US);

Rebecca Ackermann, San Francisco, CA (US);

Assignee:

Amino, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 40/20 (2018.01); G06F 19/00 (2018.01); G16H 50/30 (2018.01); G16H 15/00 (2018.01); G06Q 10/06 (2012.01);
U.S. Cl.
CPC ...
G16H 40/20 (2018.01); G06F 19/324 (2013.01); G06F 19/328 (2013.01); G06Q 10/0635 (2013.01); G16H 15/00 (2018.01); G16H 50/30 (2018.01);
Abstract

Disclosed are systems and techniques for providing a master health entity index and a data analysis mechanism designed for entity cohort discovery and entity profiling. The entity can be a healthcare facility that diagnoses or treats health conditions and diseases (e.g., hospital, clinic), individuals (e.g., providers, patients, caregivers), healthcare data (e.g., medical conditions, treatments, diagnostic studies, health outcomes), etc. For example, a data analysis mechanism may identify distinctive patient cohorts based on what happened to patients in a hospital and why the occurrence happened, glean insight from the activities of the distinctive patient cohorts, and assist with additional patients with the gleaned insight.


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