The document discusses a personal chronic condition management system called pCMS 1.0 that uses big data and predictive analytics to help patients lower their cholesterol through diet and exercise without medications. pCMS 1.0 collects personal health data, uses business intelligence to visualize trends, and proprietary algorithms to predict the impact of diet and exercise on cholesterol levels. It aims to reduce healthcare costs compared to cholesterol medications and integrate with health insurance provider APIs to access member health data.

1. Personal Chronic-condition (Cholesterol) Management
System: a Big Data App as Rx
Gewei Ye, PhD
Founder & CTO, Yeswici LLC
Email: gye@yeswici.com
Tel: 410 251 2823
© 2012 Yeswici LLC | Patent Pending 1

2. Agenda

1. What problem does pCMS 1.0 attempt to solve?
2. What is Personal Chronic-condition (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 payers (e.g., Aetna, Cigna)
health API?
5. What are the technologies used in building pCMS?
6. What are next steps?
© 2012 Yeswici LLC | Patent Pending 2

3. What Problem Does pCMS 1.0
Attempt to Solve?

 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 is a big data app as Rx: use advanced technologies to effectively
engage members to lower future cholesterol to replace Rx such as Lipitor
© 2012 Yeswici LLC | Patent Pending 3

4. What is pCMS 1.x?

 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
© 2012 Yeswici LLC | Patent Pending 4

5. What is the Financial Value of 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.
© 2012 Yeswici LLC | Patent Pending 5

6. What is the Differentiating & Innovating
Feature of pCMS 1.0?

 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
© 2012 Yeswici LLC | Patent Pending 6

7. Why use Payers’ Health API?

 The SPA algorithms need payers (Cigna or Aetna)
members’ current biometrics data such as LDL levels
to predict future LDL levels with the impact of diet
and exercise. The alternative approach is to ask
patients to enter LDL scores via pCMS.
 The BI visualization needs Cigna and Aetna
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.
© 2012 Yeswici LLC | Patent Pending 7

8. Demo for the Sophisticated Predictive Analytics (SPA)
Algorithms for pCMS 1.0 Predictions

© 2012 Yeswici LLC | Patent Pending 8

9. Demo for Engaging Members to Self Manage
(Track/Visualize) Cholesterol on an On-going Basis
Over Time

© 2012 Yeswici LLC | Patent Pending 9

10. What are the Technologies Used in
Building pCMS?

 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
© 2012 Yeswici LLC | Patent Pending 10

11. What are Next Steps?

1. Using payers’ health API, pCMS 1.0 attempts to address
the leading drivers of preventive medicine: high
cholesterol, poor diet, overweight and physical inactivity.
2. Using payers’ 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.
© 2012 Yeswici LLC | Patent Pending 11

12. Q&A

© 2012 Yeswici LLC | Patent Pending 12