What would happen if we measured health, disease, and it's impact in one connected network? A proposal to break down the silos and re-index research around the individual.
Diabetes treatment accounts for 10% of healthcare spending in the US. AgaMatrix uses big data to improve patient care and clinical accuracy while driving down manufacturing costs.
One way we do this is with iBGStar - a glucose meter for the iPhone that makes data collection easy. It's a useful tool to for patients to manage their condition and provides researchers a large volume of health data.
All payer data bases (APCDs) are collections of the health claims data for all citizens of a state. This powerful data is revitalizing public health, and provider performance measurement – all to the benefit of patients, who now have access to unprecedented information in support of their own medical decision making.
Evidence-based care goes beyond individual interventions and patients. The major changes we are making to healthcare delivery and payment systems should also be evidence based. With new and improved analysis, we can use data we already have—claims data—to measure the impacts of provider, geographic, and payment systems on overall healthcare cost and quality.
This talk will cover the state of the art in using Big Data to empower patients including the efforts to open up government data sets as part of healthdata.gov. Most importantly, this talk will see the release of an entirely new healthcare data set: The Strata Rx mystery data set. The data set will available initially only to Strata Rx attendees.
Many of the biggest impacts of technology have been driven by monopolies and their network effects. The question is what kind of monopoly we choose, and what impacts our choices create.
Entrepreneurs, a network of doctors, patients and families working together to build enabling technology, processes and transparency in the system that will improve health outcomes and lower the cost in the management of chronic disease. This session will review the progress of the planned demonstration project that can improve healthcare for all.
We need to show how a world of open science, building off of each other's work can be rewarded, to show how challenges and open competitions lead to sharing.
Three Beacon communities are tackling data extraction in the electronic environment head on. Each has developed tools for assessing data quality at the practice level and processes for collaborating with each practice to improve the quality of their data in order to obtain accurate measurement results.
Personalized medicine brings major benefits, but new privacy and security risks. BYOD and social media empower users with risky alternatives. Effective security must be strong, performant, robust, usable and cost effective, or it can drive risky alternatives, and non-compliance. Learn how hardware security delivers strong security with great user experience enabling safe personalized medicine.
(Indiana Health Information Exchange, Inc.)
Health Information Exchanges are already helping to make a difference in the healthcare delivery system, however the best is yet to come. The next generation of Health Information Exchange innovations will dramatically improve the quality, efficiency and cost of healthcare around the country.
Big data is the next evolution in health sciences analytics. New and varied data sources combined with advances in technology are enabling innovative solutions that result in faster and more accurate insights for everything from claims processing to sales analysis to patient engagement to outbreak detection.
It is clear that data are core to solving big problems in health care, and data science is the skill set needed to extract insights and make them actionable. Using lessons from experience from LinkedIn & online advertising and a large dataset of clinical and claims data, we will discuss results from efforts to increase the quality of care, decrease cost, and increase hospital efficiency.
Opening remarks by Strata Rx program chairs, Julie Steele of O'Reilly Media, Inc. and Colin Hill of GNS Healthcare.
Anne Wojcicki, Co-Founder, 23andMe.
This talk will discuss the use of aggregated, longitudinal EHR databases, predictive data analytics and data visualization as a key success factor in the transformation of healthcare and the ACO strategic initiative.
To address the issues we face in healthcare we must be able to be wrong. We must quell our (false) certainties and, rather than “look for what we’re looking for”, allow ourselves to be surprised. How can we prepare to be surprised?
Keynote by Andrew Kress, Senior Vice President, Healthcare Value Solutions for IMS Health.
We all intuitively understand that the usage of data in healthcare should improve quality, reduce cost, and hopefully affect outcomes of research and end end in better care. However, many of our best sources of data like EHRs and other health IT systems do a poor job of data integration. This talk will outline the reasons for poor integration today and what we can do about it.
In the early days of the 20th century, department store magnate John
Wanamaker famously said, "I know that half of my advertising doesn't
work. The problem is that I don't know which half." The consumer
internet revolution was fueled by the use of massive amounts of data
to answer that problem. Now, the same transformation awaits in
Personalized medicine, leading to better and more efficient medicine for many, will advance substantially as datasets combining broad genomic and other molecular data are combined with phenomic data – rich clinical parameter datasets containing information that clinical decision makers really want to know.
In this session, we’ll discuss implications of broad population-health visibility, beyond traditional provider walls and payer membership. Learn how others, both in the U.S. and globally, are combining the power of data, analytics and technology for longitudinal, patient-centered insights that improve quality and cost outcomes across healthcare settings.
Gleaning insights from massive and complex datasets from clinical trials can be challenging. You usually have to know the right questions to ask before you can begin to find answers. With Ayasdi’s Iris solution, you can visualize entire datasets and unearth powerful insights in seconds--answering the questions that you didn’t know to ask.
Tina Brown-Stevenson, Chief Clinical Informatics Officer, OptumInsight.
(Center for Strategic Planning, Centers for Medicare and Medicaid Services)
Keynote by Niall Brennan, Director for the Policy and Data Analysis Group, Center for Strategic Planning at the Centers for Medicare and Medicaid Services.
Dr Sreedhar Potarazu (Dr P), Fox News Contributor, Acclaimed Author and Nationally Recognized Expert on Big Data and Healthcare, tells the story never told on the next “ Big THING” in healthcare and the lessons learned from Silicon Valley and why it has not conquered healthcare.