System and method for minimizing computational resources when copying data for a well-being assessment and scoring

US10628047B2 · kind B2 · utility

Assignee

• Aetna Inc. · US

Inventors

• Kay D. Mooney · Durham, US
• Phillip J. Lerner · Avon, US
• Shawn Moore · Keifertown, US
• Karen Ryan · Portland, US
• Amy Kruse · Annapolis, US
• Susan Salerno · Berlin, US
• Paul Mendelowitz · Park Ridge, US
• Madhavi Vemireddy · New York, US
• Elena Koshkina · Collingswood, US
• Derek Jackson · New York, US
• Amanda Widmaier · New York, US
• Pritesh Motipara · Montclair, US
• Bridget K. McCabe · Staten Island, US
• Eileen McNeely · Belmont, US
• Tyler Vanderweele · Cambridge, US

Key dates

• Filing date: Jun 1, 2018
• Grant date: Apr 21, 2020
• Expiry date: Nov 21, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H10/65
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Disclosed is a method for minimizing computational resources when copying data. The method includes: receiving a first set of data from a first data source including portions (a) used to compute a well-being scoring, and (b) not used to compute the well-being scoring; copying non-numerical data items included in the portion used to compute the well-being scoring to an aggregate data structure; and, for each numerical data item in the portion used to compute the well-being scoring: assigning a first data type to the numerical data item if it complies with the first data type, otherwise assigning a second data type to the numerical data item, where the first data type uses less bytes than the second data type, and copying, by the processor, the numerical data item to the aggregate data structure, wherein the well-being scoring is calculated for the member based on the aggregate data structure.