pCMS, personalized chronic-condition (e.g., chronic pain and high cholesterol) management system, is an example of BDAR that employs payers' big data and Yeswici's predictive algos to engage consumers and providers with preventive medicine to replace Rx (e.g., Morphine and Lipitor). BDAR stands for Big Data Apps as Rx that employ big data and predictive algos to build Cloud-based applications as options to replace Rx.

1. Prescription drug abuse (e.g., using opioids for chronic pain non-medically) is now the second-most abused category of drugs after marijuana, and the second leading cause of accidental death in the U.S. after car accidents.

The U.S. Centers for Disease Control and Prevention has classified Rx abuse (RA) as an epidemic. The RA prevention plans are supported by high ranking representatives from the Administration such as Food and Drug Administration (FDA) Commissioner Margaret Hamburg, Office of National Drug Control Policy Director Gil Kerlikowske, and Health and Human Services Assistant Secretary Howard Koh. See a report from Office of National Drug Control Policy (2011) of the U.S. White House entitled "Epidemic: Responding to America's Prescription Drug Abuse Crisis" and the White House Web site.

2. Nearly 105 million Americans, 33% of the U.S. population, are struggling with high cholesterol.

Preventive medicine with diet and exercise is one of the effective solutions to lower cholesterol and other health risks, which will lead to reducing the national healthcare spending (approaching 20% of the U.S. GDP) in the long run. Payers such as health insurance companies and government health agencies are striving to engage consumers to lower cholesterol and to adopt preventive medicine for such challenges as health risks and chronic conditions. Yet most consumers are not adopting preventive medicine and very few advanced technologies (e.g., Big Data Algos and BI) and tools have been created to effectively engage members with preventive medicine. This causes payers and consumers 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 is a mobile and Web 2.0 based health IT system to enable consumers to self-manage pain, cholesterol and other health risks without drugs or acute care. For example, Comparing to cholesterol lowering drugs that cost more than $20 billions a year for payers and Americans, pCMS may deliver the same result of lowering cholesterol and other health risks with less cost and without the drugs' side effects. How to effectively engage consumers to lower bad cholesterol? The answer is to have providers prescribe pCMS as Rx for consumers to manage personal diet and physical activity to lower future cholesterol. pCMS 1.x manages (Track/Visualize/Predict) personal health data with big data algos enabled with business intelligence (BI) and proprietary sophisticated predictive analytics (SPA) algorithms

Using the Yeswici BDAR methodology on choice comparisons, physicians will find that pCMS will produce more benefits for consumers in lowering health risks without the side effects of Rx; Using Yeswici's options-based algos to price pCMS, payers will find that pCMS and BDARs will significantly reduce the cost of lowering the health risks over paying for the Rx.

Big data algos based on clinical research, payers' data, and sophisticated predictive analytics for predictions on top of a specialized personal health record (PHR) software system

Please contact the founder via email: info at yeswici.com