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:
May. 20, 2014

Filed:

Sep. 24, 2010
Applicants:

Agenta Breitenstein, Somerville, MA (US);

Stanley Huang, Wellesley, MA (US);

Donald Pettini, Andover, MA (US);

Paul Bleicher, Boston, MA (US);

Ryan Scharer, Somerville, MA (US);

Hua YE, Belmont, MA (US);

Inventors:

Agenta Breitenstein, Somerville, MA (US);

Stanley Huang, Wellesley, MA (US);

Donald Pettini, Andover, MA (US);

Paul Bleicher, Boston, MA (US);

Ryan Scharer, Somerville, MA (US);

Hua Ye, Belmont, MA (US);

Assignee:

Humedica, Inc., Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2012.01); G06Q 50/00 (2012.01); G06F 7/00 (2006.01); G06F 17/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

The clinical analytics platform automates the capture, extraction, and reporting of data required for certain quality measures, provides real-time clinical surveillance, clinical dashboards, tracking lists, and alerts for specific, high-priority conditions, and offers dynamic, ad-hoc quality reporting capabilities. The clinical informatics platform may include a data extraction facility that gathers clinical data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the clinical data and, optionally, de-identify the data, a flexible data warehouse for storing raw clinical data or longitudinal patient data, a clinical analytics facility for data mining, analytic model building, patient risk identification, benchmarking, performing quality assurance, and patient tracking, and a graphical user interface for presenting clinical analytics in an actionable format.


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