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Strata Rx Sessions & Workshops

Below is a list of all confirmed workshops and sessions for Strata Rx. New sessions are being confirmed regularly. Please check back often to see the latest additions to the Strata Rx program. A more detailed day-by-day schedule will be available in the coming weeks.

Nancy Braun (Thavron Solutions)
Improving the business of healthcare requires merging data and business analytics to surface opportunities that make it easier for the right people to get the right healthcare at the right costs. Understanding and improving the complexities of system costs and interactions underlying Health Services is blue water in the HealthCare big data domain.
Ida Jooste (Internews)
Government and open data advocates expected the Kenya Open Data Initiative to jump-start a data-driven health policy debate. But the data dump didn’t account for the skills needed to catalyze the transformation of data into useful information. Explore how the database can be a robust public health tool with accelerated contribution, data literacy education and data-driven storytelling.
Lily Szajnberg (GAGE - Gait Assessment + Gesture Evaluation), Greg Borenstein (MIT Media Lab)
The Kinect disrupted way more than gaming when it was released in 2010; it made gestural control an affordable reality and found its way into myriad other industries. 2013 is bringing us Leap Motion, MYO, and improved tracking for the Kinect and Asus cameras. Learn how to harness these emerging technologies for healthcare applications just as they hit the market.
Paul Bleicher (Optum Labs), Mark Hayward (Mayo Clinic)
Optum Labs was established with Mayo Clinic to enable cross-industry collaborative research and innovation to improve patient care. With other partners from across healthcare, Optum Labs will be a unique environment with the data, tools, and infrastructure necessary for leading scientists and innovators to tackle the thorniest problems in healthcare and to bridge this research into the clinic.
Henry Wei (Aetna Innovation Labs)
Necessity is the mother of invention. This keynote will describe an example of how some of the founding members of Aetna Innovation Labs were able to weave together clinical insights and ideas from the future with both existing and emerging technologies, accelerate ideas into reality, and hopefully share some inspiration for doctors, patients, and the health data & innovation community.
Michael Gleeson (Arcadia Solutions)
Arcadia is helping 5 of the 32 Pioneer ACOs create a highly functioning ambulatory EHR, aggregate clinical data across their health systems, and/or engage physicians to improve quality on the ACO measures.
Amit Sinha (SAP)
SAP in collaboration with leading medical research institutions in genomics, cancer research centers and care providers has achieved breakthrough results in healthcare data processing using SAP HANA.
Todays care providers are facing manage changes to their core business including additional regulation, larger customer bases, lower reimbursement rates and high customer demands. Each of these challenges requires that care providers too more proactively manage their patients, billing and process change through better analysis of data.
John McDaniel (NetApp)
The presentation will address big data, the next stage of meaningful use and its impending impacts on healthcare organizations. The ROI and promise big data represents, combined with the onset of a transformational shift in how care is administered across the healthcare delivery system, is forcing the healthcare industry to define big data and actualize its promise to improve patient outcomes.
Vinay Mohta (Kyruus)
Patients know less about their operating physicians than they do about the cars they drive to the hospital. How can we leverage big data on physician practice behavior to improve health care outcomes? What role should patient reviews and physician peer review play in the choice of a doctor?
Allen will be at the O'Reilly Media booth #107, signing copies of his book, Think Bayes.
Amber will be at the O'Reilly Media booth #107, signing copies of her book, Natural Language Annotation with Machine Learning.
Fred will be at the O'Reilly booth #107 signing copies of his book, Hacking Healthcare.
Khaled and Luk will be at the O'Reilly Media booth #107, signing copies of their book, Anonymizing Health Data.
Author book signings are being held at the O’Reilly Booth on Thursday. This is an opportunity for you to meet O'Reilly authors and get free books. Please note, the first 25 attendees will receive a complimentary signed copy of each book. Limit 1 book per attendee.
Yadid Ayzenberg (MIT Media Lab)
Slides:   1-PDF 
This session will provide you with the basic knowledge required to navigate through the sea of jargon that is “Big Data”. We'll survey the technologies used in the space and show examples that will illustrate how these technologies can solve real world healthcare problems. At the end of this session you will be able to “talk the talk” that is Big Data.
Nathalie Holmes (Privacy Analytics, Inc.), Khaled El Emam (Children's Hospital of Eastern Ontario - Research Institute & University of Ottawa)
Slides:   1-PDF 
This session will look at the risks and opportunities facing organizations in this "Big Data" age. It will also discuss the requirements for protecting privacy, identify a de-identification maturity model that can be used to assist organizations in the process of either evaluating a new de-identification methodology or their existing methodology.
Data, data everywhere. In healthcare, we are increasingly obsessed with unlocking and collecting data. But the more data you collect, the harder it becomes to produce insight from it. Come learn about some of the tools, techniques, and insights we’ve found productive from one of the largest sources of healthcare quality data in the United States. You might find big ideas for your big data.
Carol McCall (GNS Healthcare)
In Blind Spot, Carol will talk about what’s the most important data in a Big Data world, why it’s not what we think, and give an example of how we’re still blind to ways it can make a real difference in people’s health.
wendy hou (Rogue Wave Software), Roxy Cramer (Rogue Wave)
Too often data analysis projects are planned and executed in a linear manner. Despite all the contingencies in the project plan for data problems or poorly fitting models, models can fail for a variety of reasons long after “go-live”. The safeguard against model failures is to adopt a Data Analytics Process: a cycle with specific stages for monitoring and continual improvement of data, model...
This talk outlines the two main approaches to sharing health records at the point of care. I'll run through the advantages and disadvantages of each before outlining a third way, one in which patients and clinicians are free to choose how to interact with health data whilst maintaining the clarity of a single central record.
Bryan Sivak (HHS)
Over the past three years the health data ecosystem has grown at an unprecedented rate. Bryan Sivak, Chief Technology Officer and Entrepreneur in Residence at the Department of Health and Human Services, will discuss how we got to this point, what steps the federal government is taking to incentivize the utilization of health data, and upcoming opportunities for...
Andrew Cardon (Health Catalyst), John Shepard (Stanford University)
Hospital reporting requirements are increasing, resulting in the need for more surveillance. The issue is how to streamline surveillance in order to shift resources from surveillance toward clinical interventions that result in improved outcomes.
Craig Lipset (Pfizer)
Slides:   1-PPT 
The successful execution of a clinical trial requires collection of a significant amount of clinical data from research participants. At study end, little information is shared back with those participants. We will discuss the emergence of a new collaborative data sharing ecosystem with patients, beginning with research sponsors sharing results and data with the patients who enabled the study.
Julie Steele and Colin HIll welcome you to the Strata Rx closing keynotes. View the entire keynote line-up <a href="">here</a>
Robert Grossman (University of Chicago)
Bionimbus is a petabyte scale community cloud for managing, analyzing and sharing large genomics datasets that is operated by the not-for-profit Open Cloud Consortium. It contains public datasets, such as the 1000 Genomes dataset. We recently updated Bionimbus so that researchers can analyze data from controlled datasets, such as The Cancer Genome Atlas (TCGA) in a secure and compliant fashion.
Bonnie Feldman (Open Health News), Anmol Madan (, Bruce Springer (OneHealth Solutions, Inc.), Daniel Conroy (Aetna)
Slides:   1-PDF 
DrBonnie360 will lead a discussion of how new digital tools using data, social media, mobility and games can help patients change behavior. She will introduce the emerging ecosystem of companies across the disease spectrum in the mobile/social/data arena. 3 panelists will provide patient stories, statistics and professional experience describing what works and what doesn’t.
Pioneers and leaders in comparative effectiveness and pharma health economics and outcomes research and real world data will debate the various challenges posed by the evolving need to extract evidence from clinical trial and real world data.
Kevin Patrick (University of California, San Diego)
Data relevant to health are now increasingly found outside of traditional health care settings. Examples include the troves of data gathered by members of the Quantified Self movement to transactional data for health-related consumer goods and services. This presentation will introduce a new Robert Wood Johnson Foundation initiative to open up these data to researchers to gain new insights on...
Moderated by:
Jordan Shlain (Healthloop)
Alexandra Drane (Eliza Corporation), Sridhar Iyengar (AgaMatrix)
In this session, an expert panel explores consumer behavior. Big data is a huge win for for quants, but what will it take for patients to embrace it? Evidence shows that engagement strategies based on an understanding of individuals as whole people in time — not just as temporary patients — and designed to make a human connection have the greatest impact.
Jeff Hammerbacher (Assistant Professor | Mount Sinai)
Jeff will discuss how data is being used at the Icahn School of Medicine at Mount Sinai
Sarah Aerni (Pivotal)
Slides:   1-PDF 
At Pivotal, it is the goal of our data science practice to demonstrate the capabilities of the technologies we offer. In our talk we will focus on a use case in pharmaceutical manufacturing, wherein we created a predictive model to produce more consistent, high-quality products and drive decisions to abandon lots with expected poor outcomes.
Miriam Paramore (Emdeon), David Talby (Pacific AI)
Slides:   1-PPTX 
Learn how Emdeon and Atigeo collaborated to create a patient health record composed of historical medical, pharmacy and e-prescription information across healthcare providers (using tens-of-terabytes of claims data). See how they developed and trained a data driven statistical model for assessing and lowering the risk of hospital readmission at the point of check-in and each day after discharge.
Marcia Kean (Feinstein Kean Healthcare), Kenneth Buetow (Arizona State University), Dave King (Exaptive), Robert McBurney (Accelerated Cure Project for MS)
The use of massive amounts of data to battle the major diseases of our time has so far generated only massive amounts of publicity. Can a new generation of cyberinfrastructure harness Big Data to transform our understanding of disease and truly combat these two public health challenges? Collaborators in the Data Liquidity Coalition believe they have the right approach to fulfill the promise.
Data visualization is a critical method for revealing and communicating the information contained in data sets. The Data Visualization Showcase at Strata Rx highlights particularly successful visualizations that provide new insight and relevance to big data in healthcare. We hope you’ll take the time to observe, explore, and interact with these exceptional pieces.
Data visualization is a critical method for revealing and communicating the information contained in data sets. The Data Visualization Showcase at Strata Rx highlights particularly successful visualizations that provide new insight and relevance to big data in healthcare. We hope you’ll take the time to observe, explore, and interact with these exceptional pieces.
Bijan Salehizadeh (Navimed Capital), Anthony Gerardi (Truven Health), Michael Greeley (Flybridge Capital Partners)
Venture financing, M&A, and IPOs are now starting to become commonplace in the healthcare data & analytics and Health IT markets, becoming one of the fastest growing sectors for deal flow, and outpacing growth in more traditional drug development and medical device markets. What’s driving this trend, who will be the winners and losers, and where is the market headed?
Jen van der Meer (Reason Street)
Slides:   1-PPTX 
As we move to a more accountable model of care, can we aim our sights even higher than the promise of reduced cost, improved patient experience of care, and improved health of populations, and deliver a more dignified experience for patients, caregivers, doctors, nurse practitioners, administrators, and everyone who wants to help humans feel well?
Discovery is a messy process, which is why the big “Eureka!” moments in history are mostly accidents. Big data can change that: purposeful discovery in big data can allow you to quickly explore different lines of enquiry and accelerate discovery! This approach lends itself well to systems biology, and was recently used to discover new cancer treatments.
Adindu Uzoma (FlowLogic)
Adindu Uzoma, CEO, FlowLogic
Janos Hajagos (Stony Brook School of Medicine), Fred Trotter (
Slides:   1-PPT 
It is assumed that social network analysis in healthcare is difficult. This assumption is wrong with the right tool and the DocGraph dataset. The goal of this tutorial is to allow participants to perform basic graph analysis of a healthcare dataset. After the tutorial participants should be able to use Gephi to generate novel hypotheses about the delivery of healthcare in Medicare.
Amik Ahmad (M.P.S., NYU ITP)
In health care data driven results are all the rage. The most innovative companies today use data to effect outcomes and simplify systems. But patient focus has largely been left out of the equation. This is about emotional design and how to create patient focused healthcare platforms where data is not the driver of decision, but a validator of emotional decisions that have already been made.
Sivan Bercovici (SV Bio)
This presentation will discuss how large-scale genomic data are being translated into actionable clinical information at the point of care. Through the use of case studies, Dr. Bercovici will demonstrate the very significant impact that the clinical adoption of genomic medicine is having on patient outcomes today.
Alexandra Drane (Eliza Corporation)
It’s a fact: engagement strategies designed to make a human connection that are based on an understanding of individuals as whole people in time - not just as temporary patients – have the greatest impact – and as a result, offer the best health and financial outcomes for individuals and the healthcare companies that serve them.
Khaled El Emam (Children's Hospital of Eastern Ontario - Research Institute & University of Ottawa)
We will present two case studies where we conducted an analysis of the privacy implications associated with sharing health data. We will look at the State of Louisiana and Mount Sinai School of Medicine Department of Preventative Medicine’s World Trade Center First Responder Registry how the de-identified data can be used to accelerate research and to provide open data for innovation.
Bill Geary (North Bridge, Humedica, Healthrageous), Michael Weintraub (Humedica), Chris Kryder (D2 Hawkeye and Chairman, Valence Health), Charlie Baker (General Catalyst Partners)
A vibrant discussion about the use of healthcare data to change the cost curve, increase revenues, when does an organization have enough data sufficient to act, mining your own information and using outside solutions providers
Faselty mainly is an e-blood bank inventory system that aims to serve all social classes when they need blood in an emergency. We aim to make such inventory accessible through SMS or mobile application. on the other hand we work on unifying the blood bank system in hospitals to make categorizing an easy process for all users. Finally our main is to increase the sustainable donor rate.
Aneesh Chopra (The Advisory Board Company), John Halamka (Harvard Medical School | Beth Isreal Deaconess Medical Center)
Join Aneesh Chopra, first CTO of the United States, and John Halamka, Harvard Medical School Professor and CIO of Beth Isreal Deaconess Medical Center for a fireside chat.
In our quantified world of "wearables," how has self-tracking your physical activity changed your behavior and life? This talk will explore Coach Colette’s journey using Fitbit, Couch-to-5K podcasts, and social media to uncover new revelations about her mind-body health, and identify new ways to support her clients in their journeys towards improved health and well-being.
Marc Garrett (Intridea)
Quantify and visualize your team's health and productivity with R.
View the entire keynote line-up <a href="">here</a>
Lauren Chaparro (Palantir Technologies), Andrew Girvin (Palantir Technologies)
Harnessing big data in the early discovery of new pharmaceuticals requires the breakdown of data siloes, visualization of complex systems and secure sharing. Using technology originally created for the very different data sources of the US Intelligence community, this session will break down the use of cutting edge techniques used to harness data and inform safe, smarter, and faster drug design.
Josh Mandel (Harvard Medical School), David Kreda (SMART Platforms)
Developers struggle to integrate clinical apps with today's EHR systems. SMART Platforms has built an open-source tool that exposes a lightweight RESTful API on top of Meaningful Use standards. In this session we'll dig into the challenges of working with patient-level health data, framing solutions with a case study (and live demo) of SMART's Pediatric Growth Chart app.
Peter Speyer (IHME)
The session will feature insights from an innovative study in Global Health that estimates the burden caused by 291 diseases and injuries globally and by country, age and gender. The session will make use of innovative interactive visualization tools to show study design and results.
Jo Prichard (LexisNexis Risk Solutions)
Slides:   1-PPTX 
This presentation will discuss a real life case study and data using large scale graph analysis. The example uses 4 billion relationships between 270 million identities and looks at the social spread of prescription drug abuse and the insights that are gained from this perspective. We will show how those insights are leveraged to disrupt social crime networks and affect health outcomes.
John Mattison (Kaiser Permanente, SCAL), Hulya Emir-Farinas (Pivotal)
Public datasets can be used to enrich proprietary data and obtain more robust predictive models. However, public data, especially user-generated content, is notoriously messy. In this talk, using the FDA’s Adverse Event Reporting System (AERS), we will explain how to cleanse data and mash it up with other data sources for insight.
Tom Davenport (Babson College)
In this presentation, Tom Davenport will discuss both the need for integration and some of the most feasible approaches to achieving it. He'll provide examples--a few, anyway--of how integration has already allowed some providers and payers to achieve substantial value.
EHR and gene sequencing solutions are generating massive volumes of data, creating new opportunities for innovative analytics and global collaboration. High-performance and cloud computing platforms are accelerating sophisticated genomic data analysis in the first FDA-approved personalized medicine clinical trial for pediatric cancer, and reducing the compute time from several days to a few hours.
Eric Nelson (Janrain)
Slides:   1-PPTX 
This session will provide an overview and discussion for developers of how to adhere to HIPAA guidelines while building a cloud-based application that handles Protected Health Information. There are very few publicly available resources for developers of cloud-based healthcare apps, so we will directly tackle the issues developers encounter when trying to launch an application in the cloud.
Eugene Kolker (Seattle Children's)
This workshop is designed for managers and leaders working in healthcare (HC) interested in demystifying the big data and analytics hype to discover how data can drive real and meaningful organizational changes. Participants will learn how to prioritize objectives and use a project-based approach to achieve real success in manageable increments.
Ron Gutman (HealthTap)
How mHealth companies can create lasting user engagement by simulating real world patient-doctor interactions based on trust and expertise.
Sebastian Schneeweiss (Brigham and Women’s Hospital, Division of Pharmacoepidemiology and Pharmacoeconomics )
Slides:   1-PDF 
Dr. Sebastian Schneeweiss, Harvard Medical School and Brigham and Women’s Hospital, will discuss how analytic capabilities for big data, based on principles of causal inference, are currently being used in his organization to make a big impact in drug safety and effectiveness. He is also Co-chair of the FDA’s Mini-Sentinel methods program, a post-market medical product safety assessment program.
If you had five minutes on stage in front of the Strata Rx audience, 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 at the second edition of our Ignite event at Strata Rx.
Jeffrey Miller (Children's Hospital of Philadelphia)
Slides:   1-ZIP 
The Care Assistant is a framework for developing clinical decision support interventions within commercial electronic health records using familiar technologies like JavaScript, Python and JBoss Drools. This talk will focus on the framework's architecture and how it is being used to support the complex care of premature infants at the Children's Hospital of Philadelphia.
Nitin Agarwal (Impetus Technologies)
We believe it is time for the healthcare industry to move from 'analyzing health history' to 'planning health future'. This talk presents an incremental healthcare analytics scenario. We present a set of machine learning algorithms implemented over Spark which enable patients to manage health future in real-time through health goals and actionable health tasks.
Fred Trotter (
Fred Trotter, Data Journalist, and
Have a particular topic you'd like to discuss with other Strata Rx attendees over lunch? Join in (or organize) a discussion at a Birds of a Feather (BoF) table.
Have a particular topic you'd like to discuss with other Strata Rx attendees over lunch? Join in (or organize) a discussion at a Birds of a Feather (BoF) table.
Have a particular topic you'd like to discuss with other Strata Rx attendees over lunch? Join in (or organize) a discussion at a Birds of a Feather (BoF) table.
Session for testing ratings and feedback in the mobile app.
Tuan Dinh (Archimedes)
Model-Based Medicine (MBM), the next generation of Evidence-Based Medicine, is the use of advanced mathematical modeling to synthesize evidence and medical knowledge into a unified framework to support clinical decision making at individual patient level. Based on Archimedes's experience, we will outline the challenges and opportunities in developing and implementing MBM.
David Boloker (IBM Corporation)
As providers look to improve patient care factors such as existing infrastructure, budget realities, and skilled IT resource availability, can inhibit this goal. The cloud can provide the needed services for next generation healthcare applications while providing a flexible business model for ongoing cost alignment. Come join IBM jStart as we explore how the cloud can enable your goals today.
Alexandra Drane (Eliza Corporation)
Health Engagement Management.... Why does it matter? How do you measure it? How do you use it to drive outcomes?
Aneesh Chopra (The Advisory Board Company)
* Information on payment reform - its pace and implications for technology * Primer on government data - its value and ease of access * Successful models for data sharing - should I join the blue button movement?
Ann Waldo (Wittie, Letsche & Waldo, LLP)
Ann Waldo, a nationally known health and consumer privacy lawyer, will be happy to take your questions
Bill Tan (Transcendent Endeavors), Maurice Collins (Vocatta, Inc.)
How does communication impact health outcomes? Please stop by if you're interested in: * optimizing one-on-one dialogs between a care provider and a patient (e.g. discharge instructions) * improving the outcomes of public health outreach campaigns (e.g. a series of phone/tex/email messages re: lifestyle changes) * learning more about the Communication Genome Project
Craig Lipset (Pfizer)
Opportunities for novel applications of data and eHealth to improve the conduct of clinical trials.
David Harlow (The Harlow Group LLC)
Join your humble "HealthBlawg": 'er to discuss: * When does a consumer-facing app or service become subject to HIPAA? * Are there limits on anonymizing and aggregating user data? * How many bloody consents and authorizations must a user (e)sign? * Is HIPAA an ingredient in your secret sauce?
David Talby (Pacific AI)
Medical and pharmacy big data paired with intelligent analytics has the potential to revolutionize patient care. Let's talk if you are interested in new methods of aggregating disparate data and the role of analytics in answering business-critical questions.
Eugene Kolker (Seattle Children's)
Eugene Kolker, Chief Data Officer for Seattle Children's is available to talk about his experiences as the first CDO in healthcare, and elaborate on points of interest from "Data and Analytics Can Drive Real and Meaningful Organizational Changes: Lessons Learned and Success Stories from the Healthcare Trenches".
Fred Trotter (
If you like to think of the healthcare system as a Graph. Come see me! If you are interested in using data for behavior change, I would love to chat! If you are interested in open data, then please come visit.
Halle Tecco (Rock Health)
Let's talk about your digital health company. I want to hear what you're working on, and how Rock Health could potentially help. I'm also happy to provide insights or point you in the right direction!
Moderated by:
Janos Hajagos (Stony Brook School of Medicine)
*Graph analysis in healthcare *DocGraph dataset *Scaling graph analysis with Faunus and Titan * Using the Unified Medical Language System (UMLS) for bridging biomedical vocabularies *Large scale analysis of EHR and claims based system. I will have my laptop with me to demonstrate using Gephi on the DocGraph and also can give a demo of Titan and Faunus for graph analysis.
Moderated by:
Jennifer Vogel (Capital BlueCross)
John Rollins (IBM)
(1) predictive analytics for healthcare (motivation for advanced analytics, organizational approach, and approach to problem identification, solution, and deployment), and (2) CHF readmission prediction (business rationale, analytic approach, data content and preparation, and solution deployment).
Julie Steele (Manifold)
I'd be happy to discuss patterns I'm seeing at the intersection of data analysis and healthcare: as I've talked to industry professionals in technology and healthcare, certain ideas have come up over and over again. Come talk to me about your experience, and let's put a few more pieces of the puzzle together.
Kevin Patrick (University of California, San Diego)
I'll be available to discuss the Robert Wood Johnson Foundation Health Data Exploration project. We're interested in learning more about how individuals, researchers and companies are using personal health data to develop new insights into individual and population health.
Khaled El Emam (Children's Hospital of Eastern Ontario - Research Institute & University of Ottawa)
If you would like to know more about conducting analytics on health data and protecting individual privacy under the HIPAA Privacy Rule De-identification Standards, stop by to speak with Khaled.
- Big Data and Advanced Analytics for Drug Development - Policy environment for access to Big Data - Need for collaborative partnerships to advance Big Data
Michael Gold (Farsite), Lise Worthen-Chaudhari (Department of Physical Medicine & Rehabilitation at The Ohio State University)
* Patient engagement * Mobile health * Partnerships between hospitals and private organizations * Data Science + Human Subjects Research
Nathalie Holmes (Privacy Analytics, Inc.)
Stop by to chat with me about how your organization can benefit from implementing data anonymization or de-identification solutions that have helped our customers.
Moderated by:
Robert Grossman (University of Chicago)
Tim Darling (Objective Health, McKinsey & Company), Arijit Sengupta (BeyondCore)
.* Population health opportunity identification and implementation strategies, especially those that use big data * Statistical approaches to unlocking insights from big data * Optional: Bring your anonymized data (up to 25 columns and 100,000 rows in a CSV file) and BeyondCore will analyze your data live for free
Roxy Cramer (Rogue Wave), wendy hou (Rogue Wave Software)
Please stop by: * If you are interested in specific things you can do to safeguard against model failures * Let’s talk about your modeling project and what Rogue Wave can potentially help
Julie Steele (Manifold), Colin Hill (GNS Healthcare)
Opening remarks by Strata Rx program chairs, Julie Steele of O'Reilly Media, Inc. and Colin Hill of GNS Healthcare.
Bill Tan (Transcendent Endeavors), Maurice Collins (Vocatta, Inc.)
The Communication Genome Project is a large-scale data analysis project that breaks communication down into incremental, machine-readable “genes”. This nuanced knowledge of communication can be used to optimize patient-provider interactions and meaningfully influence patient adherence patterns.
David Harlow (The Harlow Group LLC)
Slides:   1-PDF 
Insights derived from "Big Data" analytics are based on the notion that a large store of patient data may be assembled and analyzed. Obtaining patient consent for such analysis can be cumbersome. In this session we will explore the range of rights ordinarily obtained by researchers, and the means of obtaining them. New approaches to patient consent will be considered as well.
Moderated by:
Claudia Williams (Office of the National Coordinator for Health IT)
More than 80 million Americans can now "blue button" their digital health data. This figure will expand rapidly in 2014 as every certified health record system--and every provider and hospital participating in meaningful use--will give patients the ability to view, download and share their own machine-grade health information. Data liquidity for patients will create new.....
Isaac Kohane (Harvard Medical School)
A recent IOM report on Precision Medicine articulated the case for using multiple dimensions of measurement, from the molecular to the environmental, all keyed to the individual, to redefine medical taxonomies that are more meaningful for prognosis and therapeutic decision-making.
Our NIH-funded study hypothesizes that a new method of EHR data capture using Natural Language Processing (“NLP”) would improve EHR usability and documentation quality. With test subjects from various specialties, we compared the NLP-Based method against the standard EHR data capture method. Learn the surprising results of our study.
Jennifer Vogel (Capital BlueCross), John Rollins (IBM), Greg Rodd (IBM Corporation)
Hospital readmission rates have become an increasingly urgent concern in the face of competition and federally mandated requirements. A recent pilot project undertaken jointly by Capital Blue Cross and IBM demonstrates the business value of in-database analytics for reducing costs and improving outcomes for CHF patients.
Michael Gold (Farsite), Lise Worthen-Chaudhari (Department of Physical Medicine & Rehabilitation at The Ohio State University)
The quantified self and mHealth movements are inadequate to serve the population of individuals who require medically supervised help to improve their health. Farsite and Ohio State University are developing data-driven behavioral interventions that draw upon the patient’s existing social network in order to improve adherence to cardiac rehabilitation programs and decrease hospital re-admissions.
diane burley (MarkLogic), Aaron Brauser (M*Modal), Aaron Stranahan (ICA)
Slides:   1-PPTX 
Better outcomes and cost-containment are two urgent public health concerns and unified information is the Rx.Explore how some are transforming the healthcare industry as they unify everything from doctors’ scribbles, providers’ claims and patient charts onto one platform. What are the challenges of interoperability, the benefits of adding intelligence, the distinctions between search and querying.
SAP HANA, a real-time platform for healthcare enables real-time processing and analysis of massive volumes of clinical, biological and lifestyle data. This ground breaking capability powers advanced data visualization and exploration tools from SAP to enable translation of mountains of data into actionable information in real-time improving the ability to make better, more informed decisions.
Richard Elmore (Allscripts)
Slides:   1-PDF 
Barriers to exchange of personal health information create impediments to effective access and use of big data. Instead of compiling large datasets across health systems, what if population questions could be sent to the data?
Sense Health improves patient health outcomes through a behaviorally driven platform that gives healthcare providers an easy way to deliver consistent patient support following health appointments.
Shahid Shah (Netspective)
The modern web is built on service-oriented architecture and web-oriented architecture. However, our data architectures haven't kept up and are still very application oriented and monolithic in nature. Join IT expert Shahid Shah talk about how to create service oriented databases for healthcare, patient engagement, and biomedical purposes.
Rachel Kalmar (Sensored)
Health sensors are becoming ubiquitous, health tracking is in vogue, and given the rise of the maker, hardware, and crowdfunding movements, it is becoming increasingly easy to build a health sensor device. After focusing on the hardware, what do you need to know about handling data? This session will discuss issues about making data available, and why you should care.
Here's your chance to meet with other Strata Rx participants in a series of brief one-on-one exchanges. Bring your business cards and prepare a minute of patter about yourself. You'll pair off with another attendee for a couple of minutes to exchange cards and information. When the chime sounds, you'll move on to meet the next person.
Here's your chance to meet with other Strata Rx participants in a series of brief one-on-one exchanges. Bring your business cards and prepare a minute of patter about yourself. You'll pair off with another attendee for a couple of minutes to exchange cards and information. When the chime sounds, you'll move on to meet the next person.
Join us in the Sponsor Pavilion on Thursday evening after sessions end for a reception. Visit the companies changing the face of healthcare, mingle with other attendees, and enjoy great refreshments and drinks.
Details to come....
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 winners of the Strata Rx Startup Showcase are announced.
Ann Waldo (Wittie, Letsche & Waldo, LLP), Roger Magoulas (O'Reilly Media)
Slides:   1-PPTX 
Good news - The 563-page HITECH Final Rule liberalizes some research requirements. Bad news - the Rule also imposes new restrictions that will pose barriers to data-intensive research. No time to study it? Come to this session to learn about the practical effects of the new Rule on research and access to data.
Bob Evans (Google Inc)
Where is the app to track how often you eat homemade peanut butter cookies and correlates that with your sense of wellbeing? There will never be an app for that. There are a million things that quantified self-ers and behavioral scientists want to know about behavior. There is an app for that! Learn to quickly build your own mobile health experiments using Paco an opensource platform.
Tim Darling (Objective Health, McKinsey & Company), Arijit Sengupta (BeyondCore)
Slides:   1-PPTX 
McKinsey and BeyondCore analyzed 30M+ claims lives to predict the patients most likely to experience increases in healthcare costs. Best predictors of increases involve multiple variables such as: 50 year old patients with depression who have been discharged from a heart procedure. We used Big Data analytics to automatically evaluate a million variable combinations to reveal actionable patterns.
Christine Lemke (AchieveMint)
We’ve collected and analyzed millions of data points on health behaviors in the real world, across mobile health applications, sensors and even social networks and forums. What we’ve found is the only consistency in human health behavior is its constant state of flux. What therefore is the role of data in the inherently unpredictable world of behavior change?
Jonathan Bush (athenahealth)
A plea to break down data siloes and create a truly open market for health information exchange.
The acknowledged biggest challenge in health data is finding a common conduit. The acknowledged solution is to build more health data clusters versus an intermediary. How do we build the VISA model?
View the entire keynote line-up <a href="">here</a>
Atul Butte (Stanford University)
There is an urgent need to translate genome-era discoveries into clinical utility, but the difficulties in making bench-to-bedside translations have been well described. The nascent field of translational bioinformatics may help, especially powered by public big data.
Halle Tecco (Rock Health)
VC funding in digital health was up 46% last year, and 2013 is on track to be another record year of funding. Rock Health has been collecting and analyzing funding data in the space since 2011. Now we'll share the trends we're seeing from M&A to what VCs are funding.
Venture capital funding in digital health was up 46% in 2012, and 2013 is on track to be another record year. If you are heading a healthcare startup (or hope to), here's what you need to know about pitching to VCs.
Colin Hill (GNS Healthcare), Julie Steele (Manifold)
Strata Rx program chairs, Julie Steele of O'Reilly Media, Inc. and Colin Hill of GNS Healthcare, welcome you to the second day of keynotes.
Healthcare makes people feel like they are on their own. This is a call to action, to re-evaluate the future of data. As data thinkers and makers, we have a responsibility to understand what makes a person feel like a nobody in the system we have today. Then we can shape the next evolution of data in healthcare to turn patients who often feel alone, into people who actually feel cared for.
Today, everything we read frames the increase in consumer out of pocket spend on healthcare as a “cost containment problem”, something that must be fixed. But, what if, like any other industry, we looked at $300B in annual consumer spending not as a problem but as an opportunity! In this Ingnite talk I suggest we could transform healthcare by marketing to those out of pocket dollars.
I will tell the story of how I realized that we need crowdsourced data, directly from individuals, in public health. I’ve brought together my engineering and health backgrounds, and used Twitter, Facebook and other online data to show that not only can we generate the data to improve public health, but it can give us a better picture of how diseases spread than current methods!

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