Tim O'Reilly in conversation with Vinod Khosla, Founder of Khosla Ventures.
Marrying the full patient and expansive provider history with real-time physician reporting, we build a model that determines the likelihood of fraud or waste of the current authorization request.
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.
The Strata Rx Startup Showcase will give new innovators in the healthcare industry a chance to show off how they're changing the ailing infrastructure of the healthcare system, upending traditional systems, and breaking down barriers to entry for patients and caregivers. The showcase takes place on Tuesday in the Sponsor Pavilion, from the afternoon break through the Evening Reception.
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.
Consumer driven health plans aim to lower healthcare costs by encouraging individual members to become savvy shoppers. In this talk, we analyze the shopping opportunities and price variations seen by consumers in the healthcare market.
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.
(Center for Strategic Planning, Centers for Medicare and Medicaid Services)
Session by Niall Brennan, Director for the Policy and Data Analysis Group, Center for Strategic Planning at the Centers for Medicare and Medicaid Services.
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.
What's the role of individuals in providing medical data for public use? What about clinical validity? ownership rights? Liability (if someone sees someone else in danger, what are their responsibilities)? How does that conflict with privacy? It's the usual hairball - how can we make it more enlightening?
Join Bill Schmarzo, CTO, Enterprise Information Management and Analytics, as he moderates a panel of CTOs and industry experts who are using big fast data analytics in healthcare payer, provider, and pharma applications.
Historically, the health care space has done a whole lot of ‘talking at’ and ‘lecturing to’ and not a whole lot of listening - to what really matters, to what really resonates – and not just to those who offer up their opinions, but perhaps even more importantly…to the millions of nameless faceless individuals out there struggling with where real life meets their health.
Keynote by David Ewing Duncan, award-winning, best-selling author of eight books, journalist and a television, radio and film producer and correspondent.
There is a large unmet market need for big data solutions in healthcare. However, is there a funding gap between the medical VCs and traditional technology investors?
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.
The cancer research community has been extremely resistant to data sharing, and cancer data of all kinds have been trapped. Now, cancer patients are awakening to a new day, enabled by numerous technological and societal shifts. A broad coalition led by patients and pharma companies is launching an initiative to drive standards-based data exchange to fuel research and improve care.
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.
Data-intensive scientific communication is broken. Ironically, the components necessary for open and executable science exist in isolation. clearScience is a pilot at Sage Bionetworks to assemble these components—data, code, and compute infrastructure into a stack that not only facilitates effective reporting of science, but delivery of the science itself.
Program chairs Julie Steele and Colin Hill will round up the event with a few closing remarks.
The Data Visualization Showcase at Strata Rx will highlight particularly successful visualizations that provide new insight and relevance to big data in medicine. Check out the Strata Rx Digital Petting Zoo in the Sponsor Pavilion and interact with some of the latest and greatest in new medical devices and innovations.
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.
Check out the Strata Rx Digital Petting Zoo in the Sponsor Pavilion and interact with some of the latest and greatest in new medical devices and innovations. The Data Visualization Showcase at Strata Rx will highlight particularly successful visualizations that provide new insight and relevance to big data in medicine.
This panel consists of DJ Patil, John Mattison, Tim O'Reilly, and Benjamin West.
As healthcare organizations gain access to more data, they rely increasingly on complex systems and predictive tools. This has led to a divide between technical analysts and decision-makers. We will live demo a system that bridges this gap using an integrated set of big-data technologies mated with an interactive GUI. This demo uses 10 years of Medicare claims consisting of 1.2 billion records.
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.
Integrating large-scale, high-dimensional molecular and physiological data holds promise in not only defining the molecular networks that directly respond to genetic and environmental perturbations that associate with disease, but in causally associating such networks with the physiological states associated with disease.
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.
Sharing sensitive data such as medical records is dangerous. But what if these "hot" health data could be handled safely and securely? Partners at the University of North Carolina at Chapel Hill have developed a solution architecture that de-risks sharing these sensitive data. This session will present the security issues, the solution architecture, and a discussion on how attendees can apply it.
The goal of this panel is to bring health and tech perspectives together for a deep dive into the ever-present problem of data stuck on paper forms. We’ll hear four panelists, representing payers, strategists, healthcare technology VCs, and health-oriented startups, give their perspectives on the persistence of paper and the value of extracting health data from paper forms.
(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.
This panel will provide an overview of important macro level policy and regulatory trends in the health sector that will drive tremendous demand for data science and analytics from a government, care delivery and technology perspective. The panelists will focus on specific examples of how using prizes competitions in conjunction with an open data movement are disrupting the data analytics space.
Medications are the most common form of medical intervention. Yet since the days of Hippocrates, medication adherence has been a persistent public health problem. In this session, we'll tell practical stories about health care organizations are changing how they support patients related to medication use, fueled by new incentives, access to new data, and new predictive analytic tools.
If you had five minutes on stage what would you say? What if you only got 20 slides and they rotated automatically after 15 seconds? Would you pitch a project? Launch a web site? Teach a hack? We’ll find out again this year at Ignite Strata Rx, happening Monday, October 15, before Strata Rx kicks off.
We describe the impacts of a sensor-validated social health model on improving health by processing lifestyle and medical data obtained from a clinical trial. Analysis results show the importance of well-designed social fitness games and frictionless sensor environments in improving the fitness of participants. Furthermore, predictive models show the importance of social elements in health.
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.
In this talk Dr. Middleton will share his vision of a learning healthcare delivery system enabled by knowledge and data sharing, discovery and feedback, and effective personalized clinical decision support offered to providers and patients. Key lessons learned and examples will be drawn from research and development at Partners Healthcare and Harvard Medical School.
Metabolic Syndrome, MetS, is a huge and growing health burden, whether we’re talking about burdens that are clinical or economic, societal or individual. GNS and Aetna have partnered to develop Big Data analytics solutions to identify and characterize both those with MetS and at risk for MetS. We will share results and discuss insights and challenges in working with real-world data.
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.
Have a particular topic you'd like to discuss with other Strata Rx attendees over lunch on Tuesday? Head to the lunch area to see the topics and join the conversations.
Have a particular topic you'd like to discuss with other Strata Rx attendees over lunch on Wednesday? Head to the lunch area to see the topics and join the conversations.
Neurologic diseases include more than 600 conditions, affect approximately one billion people worldwide, and are rising rapidly with aging populations. This presentation highlights new opportunities for using large neurometric datasets to develop personalized medicine approaches for improving brain health and developing therapeutics.
Join us in the Sponsor Pavilion on Tuesday, October 16 after sessions for the Strata Rx Opening Reception. Visit the companies changing the face of healthcare, mingle with other attendees, and enjoy great refreshments and drinks. The Strata Rx Startup Showcase will also be continuing, through the Reception. Visit the new innovators changing the face of healthcare.
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.
Hospitals, healthcare providers & insurance companies have traditionally been using standard statistical & Bayesian approaches for data modeling and predictive analytics. But these approaches fall short in the light of the very large volume, variety and velocity of Big Data. In this session, we talk about machine learning & combinatorial algorithms that can enable personalized recommendations.
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?
Mining patient records collected in routine care has tremendous potential to individualize care to the specific patient. We present a US/Euro Health IT network where data from 10 cancer centers in 5 nations are securely mined to learn personalized models for many diseases. We overcome many technical challenges to mine big patient data, and present personalized therapy models for several diseases
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.
(Wittie, Letsche & Waldo, LLP)
Khaled El Emam
(Children's Hospital of Eastern Ontario - Research Institute & University of Ottawa),
De-identifiction of data is an extremely relevant topic nowadayas as there is a large requirement for de-identified data to further research and provide new business opportunities for organizations holding or needing access to valuable health data.
William E. Klitgaard, Corporate Senior Vice President, Chief Information Officer, Covance.
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
In this session, you'll get to hear more from these top three startup companies: who they are, how they're using data, and why they’re upending traditional infrastructure and breaking down barriers in our healthcare system.
From the 12 finalists invited to demonstrate their innovations in person at Strata Rx, a Winner, a Runner-Up, and an Audience Choice Award Winner will be announced during this segment.
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.
Dr. Leroy Hood with the Institute of Systems Biology will focus on their efforts at taking a systems approach to diseases—looking at a neurodegenerative (prion) disease, PTSD and a brain tumor (glioblastoma) in mice and humans.
A discussion of how leading health researchers analyze various kinds of health data to affect real-world outcomes - from hunting for new virus strains in remote areas of Africa, to using advanced machine learning to determine treatment efficacy and build predictive models.
By any metric, the effects of stress represent a true global epidemic. Mobile technologies available today point the way toward a future where stress is a solved human health problem. Data-driven applications enable smartphones to monitor and manage symptoms of stress and stress-related health problems during daily life. Your phone becomes a true friend during stressful times.
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.
Even with the advent of sophisticated EHR systems, the vast majority of information about patient care is still recorded as free text, and this seems unlikely to change in the near future. This panel will discuss the path towards the meaningful use of natural language processing to improve patient care and clinical outcomes, both intrinsically and as a necessary input for predictive analytics.
With an ever growing amount of health data through digitization, and its increasing accessibility through publishing and APIs, Rebecca Woodcock will explain how now is a terrific time for entrepreneurs to build health companies without a healthcare background….and how a little startup might just be able to solve some of the big challenges in healthcare.
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.
(IBM Emerging Internet Technologies )
Join Rod Smith, IBM Fellow and Vice President of Emerging Technologies as he discusses how IBM is applying technologies such as natural language processing, predictive analysis, and Watson with healthcare leaders such as Seton Healthcare and WellPoint to address healthcare's big data challenges, improving diagnosis and treatment.
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.
Current methods for digesting the vast amount of electronic clinical information to make clinical decisions at the point of care are lacking. This panel of physicians and technologists explores the use of mobile devises to enhance data visualization, patient safety and physician and patient satisfaction.
The Social fMRI is a novel methodology that uses phones as social & behavioral sensors, aggregated to create a rich multi-dimensional image of a living community. We used it to collect over one million hours of data, helping us investigate topics of health, wellness & more. We tested new social game mechanics, doubling physical activity - during Winter in Boston. Did I mention it’s open source?
Day 2 welcome remarks by Strata Rx program chairs, Julie Steele of O'Reilly Media, Inc. and Colin Hill of GNS Healthcare.
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.