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. 01, 2018

Filed:

Jun. 14, 2013
Applicant:

Purdue Pharma L.p., Stamford, CT (US);

Inventors:

Brian Meltzer, Wilton, CT (US);

Sayee Natarajan, Wilton, CT (US);

Assignee:

PURDUE PHARMA L.P., Stamford, CT (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/01 (2006.01); A61B 5/11 (2006.01); A61B 5/145 (2006.01); G06F 19/00 (2018.01); A61B 5/0205 (2006.01);
U.S. Cl.
CPC ...
A61B 5/0002 (2013.01); A61B 5/0022 (2013.01); A61B 5/01 (2013.01); A61B 5/112 (2013.01); A61B 5/1112 (2013.01); A61B 5/14532 (2013.01); A61B 5/4842 (2013.01); A61B 5/7275 (2013.01); A61B 5/742 (2013.01); A61B 5/747 (2013.01); G06F 19/322 (2013.01); A61B 5/02055 (2013.01); A61B 5/1118 (2013.01); A61B 5/4833 (2013.01);
Abstract

A method in support of health management services acts upon active and passive data, in which the active data is communicated by a patient or healthcare professional and in which the passive data is detected by at least one sensor detectably coupled to the patient. These data are correlated with each other and if a predefined correlation is not met, further data can be solicited, patient-specific queries can be generated, alerts can be communicated, or a combination of these can be done in embodiments of the invention. Any Irregularity or trend in the data can be identified and processed in embodiments of the invention. Also in some embodiments, these data can be used in connection with intelligent, machine-based decisions to send communications concerning the provision of further healthcare resources to patients, such as in view of their relative acuity rank. Systems can be constructed to implement the methods described herein.


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