BD4BCAn Introduction

George W. Sledge, MDProfessor of Medicine

Stanford University

Three Data Revolutions

• “Omics”• Electronic Health Records• Internet of Things

“A total of 2.5 quintillion terabytes of data were generated every day in 2012 alone, and it is estimated that as much data is now generated in just two days as was created from the dawn of civilization until 2003.” Why Health Care May Finally Be Ready for Big

Data Nilay D. Shah and Jyotishman Pathak ,Harvard Business Review, 12/3/14

The Human Genome

Host and Cancer

TCGA: 507 Patients in 2012

Nature, 2012

Fig 1. Growth of DNA sequencing.

Stephens ZD, Lee SY, Faghri F, Campbell RH, Zhai C, et al. (2015) Big Data: Astronomical or Genomical?. PLoS Biol 13(7): e1002195. doi:10.1371/journal.pbio.1002195http://127.0.0.1:8081/plosbiology/article?id=info:doi/10.1371/journal.pbio.1002195

1 ZB = 10007bytes = 1021bytes

Human “GIS”

Eric Topol “The Patient will see you now”

Electronic Health Records

Objects Connected to Objects via the Internet

The IoT is Exploding

“With enough data and the ability to crunch it, virtually any challenge facing humanity today can be solved.”

Eric Schmidt et al, How Google Works, 2014

Prof Atul Butte (Genomic Medicine, Stanford) at TEDMED 2012

“Who needs the scientific method? Vast stores of available data (…) are

simply waiting for the right questions.”

The Present Reality

• EHR, Omics and IoT unconnected• Doctors dislike their EHR systems• Doctors can’t use genomic data• Clinical decision support: your partner• Clinical trials: difficult to access• Patients: only partially empowered• Care is expensive, ineffective and unchanged

Physician Satisfaction With EHRs:American College of Physicians Survey

RAND/AMA Physician Satisfaction Survey (2013)

The future

• Healthcare is a seamless web• Hyper-connected Big Data systems• EHR is the doctor’s best friend• Genomics universal and comprehensible• Effective, available clinical decision support• Clinical trials available to all• Patients empowered and active participants• Research makes increasing use of Big Data• Healthcare works: fewer women die of BC

How Do We Get ThereFrom Here?

Who is at BD4BC?

• Patient Advocates• Clinical genetics/Genomics• Bioiformaticians/Health IT • Bioethicists• Health Quality and Learning Health Systems• Breast cancer physicians• Cancer Epidemiologists

How BD4BC Will Work

• Framing lectures• Break-Out Working Groups

– Interactive– Self-selected– Moderated

Working Group Session 1

• From Bits to Biology: Accelerating Breast Cancer Research via Big Data

Moderator: Gordon Mills• Risky Business: Informatics and Risk Modeling

for Breast CancerModerator: Elad Gil

• EHRs and Analytics: Improving the Quality and Consistency of Patient Care

Moderator: Mia Levy

Working Group Session 2

• APIs, Platforms, and Open Data: the Value of Sharing

Moderator: Joe Gray• One Size Does Not Fit All: Data Mining for Better

Breast Cancer OutcomesModerator: Karen Gelmon

• EHRs and Analytics: Improving the Quality and Consistency of Patient Care

Moderator: Mia Levy

What Do We Want from BD4BC?

• Increase interactions • Generate new directions• Assist Komen in Navigating Big Data• Generate a White Paper

Thank You

• All Participants: for Attending• The Rockefeller Institute: for hosting us• Komen and the Robertson Foundation: for

supporting the meeting• The Organizing Committee• The Komen Staff

“The future is already here — it's just not evenly distributed.”William Gibson

Slide courtesy of Deniz Kural, Seven Bridges Genomics