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Realizing the Promise
of Precision Medicine
John D. Halamka, MD, MS - Professor of Medicine,
Harvard Medical School; CIO, Beth Israel Deaconess
Eric Just - Senior Vice President, Product
Development, Clinical Analytics and
Decision Support, Health Catalyst
© 2018
Health
Catalyst
• What are the differences?
• What data is needed?
• What analytical techniques are appropriate?
Personalized or Precision?
22
© 2018
Health
Catalyst
Real World Examples
3
• My wife’s cancer care and recent insurance company
adventures
• My hypertension treatment
• My father’s multiple sclerosis experience
© 2018
Health
Catalyst
Emerging Tools
• Internet of Things data
• Patient Generated Healthcare Data – subjective and objective
• Machine Learning tools
• Crowdsourcing genomes including blockchain/cryptocurrency
• Novel interoperability approaches
4
© 2018
Health
Catalyst
5
BIDMC@home
© 2018
Health
Catalyst
6
Hub for Wearables & Internet of Things
© 2018
Health
Catalyst
Machine Learning Projects
Priority Projects
1 Predict when a patient in the hospital will be discharged
2 Predict no shows for ambulatory appointments
3 Optimize operating rooms (OR) block allocation
Future Projects
4 Predict at the time of discharge the probability that the patient will be readmitted within 30 days
and make prescriptive decisions in order to minimize the number
5 Minimize the overall length of stay at the hospital by studying the interaction between the
Emergency Department (ED) and the main hospital at Beth Israel Deaconess Medical Center
(BIDMC); reduce number of patients that are readmitted within 30 days
6 Predict at the time of admission of a patient to the ED the probability that the patient will need
an ICU bed and for how long
7 Apply methods developed by the PI in the area of personalized medicine for particular
diseases; examples include but are not limited to diabetes, coronary heart disease, and breast
cancer
7
© 2018
Health
Catalyst
8
© 2018
Health
Catalyst
Harvard/MIT Blockchain Pilot
9
• Unify the medication lists of the community by writing medication
data to a public ledger
• Evaluating the reliability of a decentralized architecture
• Controlling privacy and access
• Understanding costs and scalability
• Enabling novel uses of data
© 2018
Health
Catalyst
Healthcare Analytics Summit 18
Sept. 11-13, Salt Lake, Grand America Hotel
TOBY COSGROVE, MD
former CEO and President of
Cleveland Clinic (2004-2017),
who as a cardiac surgeon
performed more than 22,000
operations and holds 30 patents
for medical innovations
KIM GOODSELL
the actualized ‘genomified,’ quantified,
digitalized “patient of the future," her debut at
the 2014 Future of Genomic Medicine
conference made headline news
announcing— “The patient from the future,
here today”
DANIEL KRAFT, MD
a Stanford and Harvard trained physician-
scientist, inventor, entrepreneur, and
innovator, Kraft is the Founder and Chair of
Exponential Medicine, a program that
explores convergent, rapidly developing
technologies and their potential in
biomedicine and healthcare
BRENT JAMES, MD
former Chief Quality Officer at
Intermountain Healthcare - known
internationally for his work in
clinical quality improvement,
patient safety, and the
infrastructure that underlies
successful improvement efforts
PENNY WHEELER, MD
President and Chief Executive
Officer of Allina Health,
returns a second time as one
of the most popular HAS
speakers ever
MARC RANDOLF
Co-founder of Netflix, Marc will
share the Netflixed story: how a
scrappy Silicon Valley startup
brought down Blockbuster and
the lessons that could be
applicable to healthcare
JILL HOGGARD GREEN
PhD, RN, Chief Operating Officer – Mission
Health and President – Mission Hospital,
and recently named to the 2017 Becker’s
Healthcare list of the country’s top Women
Hospital and Health System Leaders to
Know
ROBERT WACHTER, MD
global leader in healthcare safety,
quality, policy, IT; Chair of the
Department of Medicine, University of
California, San Francisco; best-selling
author, “The Digital Doctor: Hope, Hype
and Harm at the Dawn of Medicine’s
Computer Age”
More highlights
4 Digital Innovators (Keynotes)
AI Showcase (10 walkabout case studies)
Digitizing the Patient Showcase (10-12 stations)
28 Educational, Case Study, and Technical Breakouts
24 Analytics Walkabout Projects
More Networking (Introducing “Brain Date”)
CME Accreditation For Clinicians
5-Star Grand America Hotel Experience
96 Total Presentations
National keynotes
Employer
Innovation
Scott
Schreeve
MD, CEO, Crossover Health
Payer
Innovation
Kevin
Sears
Executive Director of Marketing
and Network Services, Cleveland
Clinic
Biosensor
Innovation
John
Rogers
PhD, Founding Director, Center
Bio-Integrated Electronics,
Northwestern University
Pricing
Innovation
Gene
Thompson
Project Director, Health City
Cayman Islands
Q&A
© 2018
Health
Catalyst
The Enterprise Data Warehouse (EDW) at Intermountain Healthcare went live in 1998. The EDW at Northwestern
Medicine went live in 2006. Dale Sanders was the chief architect and strategist for both. The business inspiration
behind Health Catalyst was, in essence, to create the commercial availability of the technology, analytics, and data
utilization skills associated with these systems at Intermountain and Northwestern.
Wednesday, May 30
1:00-2:00 PM EST
Learning Objectives:
• Data modeling is overrated but that's changing
• Hybrid architecture data lakes have arrived
• Text, images, and discrete data--together
• Will the EHR vendors meet the future? Track record says no
• Data governance hasn't yet found its sweet spot
20 Years in Healthcare Analytics & Data Warehousing
12
SHAKEEB AKHTER
LEE PIERCE
ANDREW WINTER
DALE SANDERS
President of Technology, Health Catalyst
Dale has been one of the most influential leaders
in healthcare analytics and data warehousing
since his earliest days in the industry, starting at
Intermountain Healthcare from 1997-2005,
where he was the chief architect for the
enterprise data warehouse (EDW) and regional
director of medical informatics at LDS Hospital.
Dale will be joined by:
Thank You!

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Realizing the Promise of Precision Medicine

  • 1. Realizing the Promise of Precision Medicine John D. Halamka, MD, MS - Professor of Medicine, Harvard Medical School; CIO, Beth Israel Deaconess Eric Just - Senior Vice President, Product Development, Clinical Analytics and Decision Support, Health Catalyst
  • 2. © 2018 Health Catalyst • What are the differences? • What data is needed? • What analytical techniques are appropriate? Personalized or Precision? 22
  • 3. © 2018 Health Catalyst Real World Examples 3 • My wife’s cancer care and recent insurance company adventures • My hypertension treatment • My father’s multiple sclerosis experience
  • 4. © 2018 Health Catalyst Emerging Tools • Internet of Things data • Patient Generated Healthcare Data – subjective and objective • Machine Learning tools • Crowdsourcing genomes including blockchain/cryptocurrency • Novel interoperability approaches 4
  • 6. © 2018 Health Catalyst 6 Hub for Wearables & Internet of Things
  • 7. © 2018 Health Catalyst Machine Learning Projects Priority Projects 1 Predict when a patient in the hospital will be discharged 2 Predict no shows for ambulatory appointments 3 Optimize operating rooms (OR) block allocation Future Projects 4 Predict at the time of discharge the probability that the patient will be readmitted within 30 days and make prescriptive decisions in order to minimize the number 5 Minimize the overall length of stay at the hospital by studying the interaction between the Emergency Department (ED) and the main hospital at Beth Israel Deaconess Medical Center (BIDMC); reduce number of patients that are readmitted within 30 days 6 Predict at the time of admission of a patient to the ED the probability that the patient will need an ICU bed and for how long 7 Apply methods developed by the PI in the area of personalized medicine for particular diseases; examples include but are not limited to diabetes, coronary heart disease, and breast cancer 7
  • 9. © 2018 Health Catalyst Harvard/MIT Blockchain Pilot 9 • Unify the medication lists of the community by writing medication data to a public ledger • Evaluating the reliability of a decentralized architecture • Controlling privacy and access • Understanding costs and scalability • Enabling novel uses of data
  • 10. © 2018 Health Catalyst Healthcare Analytics Summit 18 Sept. 11-13, Salt Lake, Grand America Hotel TOBY COSGROVE, MD former CEO and President of Cleveland Clinic (2004-2017), who as a cardiac surgeon performed more than 22,000 operations and holds 30 patents for medical innovations KIM GOODSELL the actualized ‘genomified,’ quantified, digitalized “patient of the future," her debut at the 2014 Future of Genomic Medicine conference made headline news announcing— “The patient from the future, here today” DANIEL KRAFT, MD a Stanford and Harvard trained physician- scientist, inventor, entrepreneur, and innovator, Kraft is the Founder and Chair of Exponential Medicine, a program that explores convergent, rapidly developing technologies and their potential in biomedicine and healthcare BRENT JAMES, MD former Chief Quality Officer at Intermountain Healthcare - known internationally for his work in clinical quality improvement, patient safety, and the infrastructure that underlies successful improvement efforts PENNY WHEELER, MD President and Chief Executive Officer of Allina Health, returns a second time as one of the most popular HAS speakers ever MARC RANDOLF Co-founder of Netflix, Marc will share the Netflixed story: how a scrappy Silicon Valley startup brought down Blockbuster and the lessons that could be applicable to healthcare JILL HOGGARD GREEN PhD, RN, Chief Operating Officer – Mission Health and President – Mission Hospital, and recently named to the 2017 Becker’s Healthcare list of the country’s top Women Hospital and Health System Leaders to Know ROBERT WACHTER, MD global leader in healthcare safety, quality, policy, IT; Chair of the Department of Medicine, University of California, San Francisco; best-selling author, “The Digital Doctor: Hope, Hype and Harm at the Dawn of Medicine’s Computer Age” More highlights 4 Digital Innovators (Keynotes) AI Showcase (10 walkabout case studies) Digitizing the Patient Showcase (10-12 stations) 28 Educational, Case Study, and Technical Breakouts 24 Analytics Walkabout Projects More Networking (Introducing “Brain Date”) CME Accreditation For Clinicians 5-Star Grand America Hotel Experience 96 Total Presentations National keynotes Employer Innovation Scott Schreeve MD, CEO, Crossover Health Payer Innovation Kevin Sears Executive Director of Marketing and Network Services, Cleveland Clinic Biosensor Innovation John Rogers PhD, Founding Director, Center Bio-Integrated Electronics, Northwestern University Pricing Innovation Gene Thompson Project Director, Health City Cayman Islands
  • 11. Q&A
  • 12. © 2018 Health Catalyst The Enterprise Data Warehouse (EDW) at Intermountain Healthcare went live in 1998. The EDW at Northwestern Medicine went live in 2006. Dale Sanders was the chief architect and strategist for both. The business inspiration behind Health Catalyst was, in essence, to create the commercial availability of the technology, analytics, and data utilization skills associated with these systems at Intermountain and Northwestern. Wednesday, May 30 1:00-2:00 PM EST Learning Objectives: • Data modeling is overrated but that's changing • Hybrid architecture data lakes have arrived • Text, images, and discrete data--together • Will the EHR vendors meet the future? Track record says no • Data governance hasn't yet found its sweet spot 20 Years in Healthcare Analytics & Data Warehousing 12 SHAKEEB AKHTER LEE PIERCE ANDREW WINTER DALE SANDERS President of Technology, Health Catalyst Dale has been one of the most influential leaders in healthcare analytics and data warehousing since his earliest days in the industry, starting at Intermountain Healthcare from 1997-2005, where he was the chief architect for the enterprise data warehouse (EDW) and regional director of medical informatics at LDS Hospital. Dale will be joined by: