Neela Srinivas

US Patent:

20130159023, Jun 20, 2013

Filed:

Dec 16, 2011

Appl. No.:

13/328011

Inventors:

Neela SRINIVAS - Cupertino CA, US
Srinivas KUMAR - Cupertino CA, US

International Classification:

G06Q 40/08
G06Q 50/22

US Classification:

705 4, 705 1417

Abstract:

An evidence based cost modeling and predictive analysis system, and an incentives based plan to reduce healthcare costs are disclosed. An analytics system may generate incremental expenditures among overweight and obese individuals, predictive forecasts of future medical costs, and predictive forecast of cost reduction based on financial incentives to recipients. The forecasts may include statistical trends, prevalence of diseases based on body mass index, and medical evidence associated with specific illnesses. A computer based program may process and analyze dependent and independent variables in electronically stored information (for example insurance, health and medical records). A health insurance provider may provide an annual rebate on paid premiums to recipients based on a qualifying annual BMI as an incentive. The recipients may receive the rebates in a qualified health reimbursement account (HRA) managed by the recipients towards future healthcare related expenditures.

US Patent:

20170286608, Oct 5, 2017

Filed:

Jun 15, 2017

Appl. No.:

15/624119

Inventors:

Neela SRINIVAS - Cupertino CA, US
Srinivas KUMAR - Cupertino CA, US

International Classification:

G06F 19/00

Abstract:

An on-demand and real-time evidence based cost modeling and predictive analysis system, and a financial incentives based plan to reduce healthcare costs. An analytics system that includes a data aggregator and regression models generates incremental expenditures among overweight and obese individuals, predictive forecasts of future medical costs, and predictive forecasts of cost reduction based on financial incentives to recipients. The forecasts may include interactions, personalized variables, statistical trends, prevalence of diseases based on body mass index and/or age, and medical evidence associated with specific illnesses. A computer-based program may process and analyze variables in healthcare records. A health insurance provider may provide an annual rebate on paid premiums to recipients based on a qualifying annual BMI as an incentive. The recipients may receive the rebates in a qualified Healthcare Individual Reimbursement Account (HIRA) managed by the recipients towards future healthcare related expenditures.

US Patent:

20160203279, Jul 14, 2016

Filed:

Mar 24, 2016

Appl. No.:

15/080061

Inventors:

Neela SRINIVAS - Cupertino CA, US
Srinivas KUMAR - Cupertino CA, US

International Classification:

G06F 19/00

Abstract:

An on-demand and real-time evidence based cost modeling and predictive analysis system, and a financial incentives based plan to reduce healthcare costs. An analytics system that includes a data aggregator and regression models generates incremental expenditures among overweight and obese individuals, predictive forecasts of future medical costs, and predictive forecasts of cost reduction based on financial incentives to recipients. The forecasts may include interactions, personalized variables, statistical trends, prevalence of diseases based on body mass index and/or age, and medical evidence associated with specific illnesses. A computer-based program may process and analyze variables in healthcare records. A health insurance provider may provide an annual rebate on paid premiums to recipients based on a qualifying annual BMI as an incentive. The recipients may receive the rebates in a qualified Healthcare Individual Reimbursement Account (HIRA) managed by the recipients towards future healthcare related expenditures.