Cigna yeswici pcms_1.1_ppt

Personal Cholesterol Management System Gewei Ye, PhD

Founder & CTO, Yeswici LLC Email: [email protected]

Tel: 410 251 2823

© 2012 Yeswici LLC | Patent Pending 1

mailto:[email protected]

1. What problem does pCMS 1.0 attempt to solve?

2. What is Personal Cholesterol Management System?

3. What is the financial value of pCMS 1.x?

4. What is the differentiating & innovating feature of pCMS 1.x? Why use Cigna health API?

5. What are the technologies used in building pCMS?

6. What are next steps?

Agenda


Nearly 105 million Americans, 33% of the U.S. population, are

struggling with high cholesterol. Payers such as health insurance companies and government health

agencies are striving to engage members to lower cholesterol and to adopt preventive medicine for such challenges as health risks and chronic conditions.

Yet most members are not adopting preventive medicine and very few advanced technologies (e.g., business intelligence) and tools have been created to effectively engage members with preventive medicine.

This causes payers and members to pay over $20 billions annually for cholesterol lowering drugs; and over $100 billions annually for the acute care of heart and blood diseases due to high cholesterol.

pCMS 1.x employs advanced technologies to effectively engage members to lower future cholesterol.

What Problem Does pCMS 1.0 Attempt to Solve?


pCMS 1.x is a mobile and Web 2.0 based health IT system

to enable members and patients to self-manage cholesterol and other health risks without unhealthy and expensive drugs or acute care.

How to effectively engage members to lower bad cholesterol? The answer is to engage members to manage personal diet and exercise with pCMS 1.0 (app as Rx) to lower future cholesterol.

pCMS 1.x manages (Save/Visualize/Predict) personal health data with business intelligence (BI) and clinical research based proprietary sophisticated predictive analytics (SPA) algorithms

What is pCMS 1.x?


Comparing to cholesterol lowering drugs that cost more than

$20 billions a year for payers and Americans, pCMS 1.0 may deliver the same result of lowering cholesterol and other health risks with much less cost ($5-10 millions) and without the drugs' side effects.

pCMS 1.x is designed to work with payers such as health insurance companies (e.g., Cigna, Wellpoint, Aetna, Humana, United Healthcare) and government health agencies (e.g., HHS, VA, CMS, FDA) to engage members with proactive preventive medicine.

Partnering with payers, pCMS 1.x attempts to reduce national healthcare spending in the long run by delivering better population health. The national healthcare spending is approaching $800 billions, 20% of the U.S. GDP.

What is the Financial Value of pCMS 1.x?


It is the clinical research based proprietary sophisticated predictive

analytics (SPA) algorithms for predictions on top of a personal health data management system

Differentiating property of the proprietary SPA technique: 2013 NIH CFP PAR-12-198: Improving Diet and Physical Activity

Assessment (R01) requests ““Explore new analytic methods or models that integrate multiple layers of diet and/or physical activity data.”

Example of a SPA algo: LDL = f(CBD, SFA, PUFA, SF, EX) CBD: Cigna biometrics data by Cigna health API LDL: low density lipoprotein SFA: saturated fatty acid PUFA: polyunsaturated fatty acid SF: soluble fiber EX: exercise

What is the Differentiating & Innovating Feature of pCMS 1.0?


The SPA algorithms need Cigna members’ current

biometrics data such as LDL levels to predict future LDL levels with the impact of diet and exercise.

The BI visualization needs Cigna members’ past and current biometrics data (e.g., HDL, LDL, Triglycerides) to effectively inform and engage members for diet and exercise in the near future.

Why use Cigna Health API?


Demo for the Sophisticated Predictive Analytics (SPA) Algorithms for pCMS 1.0 Predictions


Demo for Engaging Members to Self Manage (Track/Visualize) Cholesterol on an On-going Basis

Over Time


BI,

Predictive Analytics,

mHealth,

Portal,

Federated ID Management & Security (OAuth & encryption),

Performance Engineering,

Quantitative Modeling,

Cloud,

Big Data, Data Modeling & Database Management,

Web 2.0

What are the Technologies Used in Building pCMS?


1. Using Cigna health API, pCMS 1.0 attempts to address

the leading drivers of preventive medicine: high cholesterol, poor diet, overweight and physical inactivity.

2. Using Cigna health API, pCMS 1.0 may be extended to a preventive Chronic-condition Management System (pCMS 1.1) for Asthma, Obesity, Diabetes, Hypertension etc.

3. Partnering with all payers nationally and globally, pCMS 1.x attempts to deliver better health, better care, and lower cost through technology and mHealth for the population.

What are Next Steps?


Q & A


Documents

Cigna yeswici pcms_1.1_ppt