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:
Mar. 10, 2020

Filed:

Mar. 03, 2014
Applicant:

Actx, Inc., Seattle, WA (US);

Inventors:

Andrew Gray Ury, Seattle, WA (US);

Michael Arlt, Seattle, WA (US);

Assignee:

ActX, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 10/60 (2018.01); G06F 16/245 (2019.01); G06Q 50/24 (2012.01); G16B 50/00 (2019.01); G06F 19/00 (2018.01); H04L 29/06 (2006.01);
U.S. Cl.
CPC ...
G16H 10/60 (2018.01); G06F 16/245 (2019.01); G06F 19/324 (2013.01); G06Q 50/24 (2013.01); G16B 50/00 (2019.02); H04L 63/08 (2013.01);
Abstract

The current document is directed to methods and systems for organizing, storing, searching, aggregating, and distributing large quantities of biological information obtained for individual patients. In one described implementation, the knowledge and information is stored, in data-storage facilities within cloud-computing-like systems, as clinical actions, biological elements, and variants that are logically linked together to form network-like data structures. Individual patient data and clinical-knowledge databases, including the network-like clinical-knowledge data structures, are hosted in cloud-computing-like data centers along with a variety of services that receive and process queries from users, medical-service providers, and electronic-health-record-based applications and that return requested information to the requesting entities. Despite the enormous amounts of patient data and clinical knowledge that may be stored in the cloud-computing-like data centers, certain implementations of the currently disclosed systems return responses to medical-information queries in under a second, with other implementations providing even faster query-processing turnaround times.


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