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:
Jul. 24, 2012

Filed:

Nov. 09, 2010
Applicants:

Brent Backhaus, Lakeville, MN (US);

Lorna Backhaus, Lakeville, MN (US);

Dean Ebesu, San Francisco, CA (US);

Durand R. Van Arnem, Lakeville, MN (US);

Inventors:

Brent Backhaus, Lakeville, MN (US);

Lorna Backhaus, Lakeville, MN (US);

Dean Ebesu, San Francisco, CA (US);

Durand R. Van Arnem, Lakeville, MN (US);

Assignee:

Virtual Radiologic Corporation, Minneapolis, MN (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 50/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A system configuration and techniques for optimizing schedules and associated use predictions of a multiple resource planning workflow are disclosed herein, applicable to environments such as radiologist scheduling in a teleradiology workflow. In one embodiment, a series of computing engines and components are provided to allow detailed forecasting and the generation of customized recommendations for scheduling and other resource usage scenarios. This forecasting can factor resource efficiencies, changes in resource demand volume, resource specialties, resource usage preferences, expected future events such as the removal or addition of resources at future times, and other resource availability or usage changes. The forecasts may be further enhanced through the use of historical data models and estimated future data models. Additionally, a calendar and other tools may be presented through a user interface to allow forecast and scenario customization based on selection of a series of future dates.


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