Skip to main content

Strata Rx 2013 Schedule

Below are the confirmed and scheduled talks at Strata Rx 2013 (schedule subject to change).

Customize Your Own Schedule

Create your own Strata Rx schedule using the personal scheduler function. Mark the workshops, sessions, keynotes, and events you want to attend by selecting the calendar icon [calendar icon] next to each listing. Then go to your personal schedule and get your own customized schedule generated.

Salon G
11:00am Fact or Fiction: Healthcare Big Data Bill Geary (North Bridge, Humedica, Healthrageous), Michael Weintraub (Humedica), Chris Kryder (D2 Hawkeye and Chairman, Valence Health), Charlie Baker (General Catalyst Partners)
11:50am Optimizing Patient-provider Communication through Machine Learning Analysis Bill Tan (Transcendent Endeavors), Maurice Collins (Vocatta, Inc.)
1:40pm Reducing Hospital Re-admissions with Social Networking and Data Science Michael Gold (Farsite), Lise Worthen-Chaudhari (Department of Physical Medicine & Rehabilitation at The Ohio State University)
2:30pm Are You Visiting the Right Doctor? Vinay Mohta (Kyruus)
4:00pm Designing for Dignity in Health Tech Jen van der Meer (Reason Street)
4:50pm The Only Constant in Health Behavior is Change Christine Lemke (AchieveMint)
5:40pm Community, Platforms and Data: How to Engage Patients Using Data, Social Media and Games Bonnie Feldman (Open Health News), Anmol Madan (Ginger.io), Bruce Springer (OneHealth Solutions, Inc.), Daniel Conroy (Aetna)
Salon F
11:00am Patient Consent to Use of Data: Are We Asking the Wrong Question? David Harlow (The Harlow Group LLC)
1:40pm Trends in Venture Funding of Digital Health Halle Tecco (Rock Health)
2:30pm Graph Search for Healthcare Jo Prichard (LexisNexis Risk Solutions)
4:00pm Facilitating Analytics While Protecting Individual Privacy Using Data De-identification Khaled El Emam (Children's Hospital of Eastern Ontario - Research Institute & University of Ottawa)
Salon H-K
11:00am Data Liquidity Tackles Cancer, Diabetes and MS: An Epic Battle for Global Health Marcia Kean (Feinstein Kean Healthcare), Kenneth Buetow (Arizona State University), Dave King (Exaptive), Robert McBurney (Accelerated Cure Project for MS)
11:50am Identifying Hidden “Signals” of Risks: A Case Study of Biomedical Research at Brigham and Women’s Hospital and Harvard Medical School Sebastian Schneeweiss (Brigham and Women’s Hospital, Division of Pharmacoepidemiology and Pharmacoeconomics )
1:40pm Data at Mount Sinai Jeff Hammerbacher (Assistant Professor | Mount Sinai)
2:30pm Improving the Care of Premature Infants with JavaScript, Python, and Drools Jeffrey Miller (Children's Hospital of Philadelphia)
4:00pm Data Driven Model to Minimize Hospital Readmissions Miriam Paramore (Emdeon), David Talby (Pacific AI)
4:50pm Model-Based Medicine: From Data to Decision Tuan Dinh (Archimedes)
5:40pm Reducing Costs and Improving Patient Outcomes with In-Database Analytics Jennifer Vogel (Capital BlueCross), John Rollins (IBM), Greg Rodd (IBM Corporation)
Provincetown
11:50am Rx for Better Patient Care and Cost Containment diane burley (MarkLogic), Aaron Brauser (M*Modal), Aaron Stranahan (ICA)
Sponsor Pavilion
Ballroom Foyer
9:00am Plenary
Room: Salon G-F
Opening Welcome Julie Steele (Manifold), Colin Hill (GNS Healthcare)
9:05am Plenary
Room: Salon G-F
Catalyzing the Health Data Ecosystem Bryan Sivak (HHS)
9:20am Plenary
Room: Salon G-F
Addressing Big Data challenges for Real-time Personalized Medicine Amit Sinha (SAP)
9:25am Plenary
Room: Salon G-F
Blind Spot Carol McCall (GNS Healthcare)
9:40am Plenary
Room: Salon G-F
Healthcare Analytics in the Age of Personalized Medicine August Calhoun (Dell)
9:45am Plenary
Room: Salon G-F
Power to the People Claudia Williams (Office of the National Coordinator for Health IT)
9:55am Plenary
Room: Salon G-F
Connecting Researchers to Patient- and Person-Generated Data Kevin Patrick (University of California, San Diego)
10:10am Plenary
Room: Salon G-F
Dismantling Data Tyranny Adindu Uzoma (FlowLogic)
12:30pm Lunch Sponsored by Dell
Room: Back Bay Hall
Lunch / Birds of a Feather (BoF) Sessions
Salon A-E
10:30am TBC
3:10pm Afternoon Break Sponsored by SAP
Room: Salon A-E
6:20pm Plenary
Room: Exhibit Hall
Sponsor Pavilion Reception
8:00am Coffee Break
Room: 4th Floor Atrium
11:00am-11:40am (40m) Deal-Flow
Fact or Fiction: Healthcare Big Data
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
11:50am-12:30pm (40m) Value-Based Care
Optimizing Patient-provider Communication through Machine Learning Analysis
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.
1:40pm-2:20pm (40m) Patient Engagement
Reducing Hospital Re-admissions with Social Networking and Data Science
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.
2:30pm-3:10pm (40m) Patient Engagement
Are You Visiting the Right Doctor?
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?
4:00pm-4:40pm (40m) Patient Engagement
Designing for Dignity in Health Tech
Jen van der Meer (Reason Street)
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?
4:50pm-5:30pm (40m) Patient Engagement
The Only Constant in Health Behavior is Change
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?
5:40pm-6:20pm (40m) Patient Engagement, Platforms
Community, Platforms and Data: How to Engage Patients Using Data, Social Media and Games
Bonnie Feldman (Open Health News), Anmol Madan (Ginger.io), Bruce Springer (OneHealth Solutions, Inc.), Daniel Conroy (Aetna)
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.
11:00am-11:40am (40m) Data Liquidity
Patient Consent to Use of Data: Are We Asking the Wrong Question?
David Harlow (The Harlow Group LLC)
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.
11:50am-12:30pm (40m) Data Liquidity
Clinical Trial Blue Button: Returning Electronic Clinical Data to Clinical Trial Participants
Craig Lipset (Pfizer)
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.
1:40pm-2:20pm (40m) Deal-Flow
Trends in Venture Funding of Digital Health
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.
2:30pm-3:10pm (40m) Deal-Flow
Graph Search for Healthcare
Jo Prichard (LexisNexis Risk Solutions)
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.
4:00pm-4:40pm (40m) Data Liquidity
Facilitating Analytics While Protecting Individual Privacy Using Data De-identification
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.
4:50pm-5:30pm (40m) Data Liquidity
Sending Population Questions to the Data: Solving for HIPAA in Big Data
Richard Elmore (Allscripts)
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?
5:40pm-6:20pm (40m) Data Liquidity
Global Burden of Disease - Big Data in Global Health
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.
11:00am-11:40am (40m) Precision Medicine
Data Liquidity Tackles Cancer, Diabetes and MS: An Epic Battle for Global Health
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.
11:50am-12:30pm (40m) Precision Medicine
Identifying Hidden “Signals” of Risks: A Case Study of Biomedical Research at Brigham and Women’s Hospital and Harvard Medical School
Sebastian Schneeweiss (Brigham and Women’s Hospital, Division of Pharmacoepidemiology and Pharmacoeconomics )
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.
1:40pm-2:20pm (40m) Data Liquidity
Data at Mount Sinai
Jeff Hammerbacher (Assistant Professor | Mount Sinai)
Jeff will discuss how data is being used at the Icahn School of Medicine at Mount Sinai
2:30pm-3:10pm (40m) Value-Based Care
Improving the Care of Premature Infants with JavaScript, Python, and Drools
Jeffrey Miller (Children's Hospital of Philadelphia)
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.
4:00pm-4:40pm (40m) Value-Based Care
Data Driven Model to Minimize Hospital Readmissions
Miriam Paramore (Emdeon), David Talby (Pacific AI)
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.
4:50pm-5:30pm (40m) Value-Based Care
Model-Based Medicine: From Data to Decision
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.
5:40pm-6:20pm (40m) Value-Based Care
Reducing Costs and Improving Patient Outcomes with In-Database Analytics
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.
11:00am-11:40am (40m) Event
Speed Networking - Located in Simmons
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.
11:50am-12:30pm (40m) Sponsored Sessions
Rx for Better Patient Care and Cost Containment
diane burley (MarkLogic), Aaron Brauser (M*Modal), Aaron Stranahan (ICA)
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.
1:40pm-2:20pm (40m) Sponsored Sessions
SAP HANA in Healthcare – Real-time Big Data Analysis
David P. Delaney (SAP)
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.
2:30pm-3:10pm (40m) Sponsored Sessions
Analytical Methods & Tools to Improve Patient Care and Lower Costs
Joey Jablonski (Dell)
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.
4:00pm-4:40pm (40m) Sponsored Sessions
Data Driven Drugs: Predictive Models to Improve Product Quality in Pharmaceuticals
Sarah Aerni (Pivotal)
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.
10:30am-4:00pm (5h 30m) Event
Startup Showcase in the Sponsor Pavilion
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.
9:00am-7:30pm (10h 30m) Event
Data Visualization Showcase (Sponsored by SAS)
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.
9:00am-9:05am (5m)
Opening Welcome
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.
9:05am-9:20am (15m)
Catalyzing the Health Data Ecosystem
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...
9:20am-9:25am (5m) Sponsored Sessions
Addressing Big Data challenges for Real-time Personalized Medicine
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.
9:25am-9:40am (15m)
Blind Spot
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.
9:40am-9:45am (5m) Sponsored Sessions
Healthcare Analytics in the Age of Personalized Medicine
August Calhoun (Dell)
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.
9:45am-9:55am (10m)
Power to the People
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.....
9:55am-10:10am (15m)
Connecting Researchers to Patient- and Person-Generated 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...
10:10am-10:25am (15m)
Dismantling Data Tyranny
Adindu Uzoma (FlowLogic)
Adindu Uzoma, CEO, FlowLogic
12:30pm-1:40pm (1h 10m) Event
Lunch / Birds of a Feather (BoF) Sessions
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.
10:30am-11:00am (30m)
Session
To be confirmed
3:10pm-4:00pm (50m)
Break: Afternoon Break Sponsored by SAP
6:20pm-7:50pm (1h 30m)
Sponsor Pavilion Reception
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.
8:00am-9:00am (1h)
Break: Coffee Break

For exhibition and sponsorship opportunities at Strata Rx conference, contact Sharon Pierce at (203) 304-9476 or spierce@oreilly.com

For information on trade opportunities with O'Reilly conferences email mediapartners
@oreilly.com

View a complete list of Strata Rx 2013 contacts