This document summarizes a talk given by Dr. Larry Smarr on personal data tracking and the digital transformation of healthcare. Some key points:
- Smarr has been tracking over 100 of his own health variables like blood tests, microbiome, sleep, and more for over a decade to study trends.
- Analyzing this personal data revealed he had undiagnosed Crohn's disease, which he was able to confirm and treat using medical imaging.
- Tracking his own immunological biomarkers over time showed major immune system dysfunction that provided insight into his condition.
- Analyzing his gut microbiome identified changes in bacterial phyla that correlated with his Crohn's disease and response to treatment.
- Sm
Integrating Healthcare Informatics, Imaging, and Systems Biology-A Personal E...Larry Smarr
12.09.27
Plenary Lecture
2nd IEEE Conference on Healthcare Informatics, Imaging, & Systems Biology
Title: Integrating Healthcare Informatics, Imaging, and Systems Biology-A Personal Example
Calit2@UCSD
Healthcare and Digital Transformation - Lessons from the ResearchStefan Tornquist
A 30 minute talk based on survey research conducted in Q4 of 2015 w/Ogilvy CommonHealth on how digital trends are affecting healthcare and healthcare marketing.
Integrating Healthcare Informatics, Imaging, and Systems Biology-A Personal E...Larry Smarr
12.09.27
Plenary Lecture
2nd IEEE Conference on Healthcare Informatics, Imaging, & Systems Biology
Title: Integrating Healthcare Informatics, Imaging, and Systems Biology-A Personal Example
Calit2@UCSD
Healthcare and Digital Transformation - Lessons from the ResearchStefan Tornquist
A 30 minute talk based on survey research conducted in Q4 of 2015 w/Ogilvy CommonHealth on how digital trends are affecting healthcare and healthcare marketing.
Christina Wanscher presents an introduction to the Danish Healthcare system, healthcare transformation initiatives, National Healthcare IT and Integrated Care.
Details on the presentation found in link:
http://www-01.ibm.com/software/city-operations/curam-research-institute/curam-roundtable/index.html
Healthcare Transformation: The Journey of High-Value HealthcareHealth Catalyst
To manage population health, one needs to intimately understand the anatomy of healthcare and model how healthcare is delivered, in order to systematically improve healthcare outcomes. In this webinar, Dr. Burton draws on his 26-year executive career at Intermountain, Select Health, and Health Catalyst. He emphasizes the importance of linking administrative data (e.g., billing codes) to processes of clinical care to use the 80/20 principle to prioritize care processes within each venue to focus improvement initiatives on the things that matter most. He will also discuss a Clinical Integration framework to use in driving out waste by reducing variation in the ordering of care, the efficiency with which the care that is ordered is delivered and reducing defects in care delivery to make it safer.
Conferencia de Manuel Serrano Ortega, Gerente de Transformación Digital de Accenture, en El Instituto de la Economia Digital de ESIC, hablando sobre la Transformación Digital en la Industria de Healthcare y Pharma, descubriendo las últimas tendencias a través de la metodología del Coolhunting.
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Manu Varma, PhilipsHxRefactored
Through new telehealth technologies and increased data analysis physicians are gaining insights into patients like never before, allowing them to facilitate early interventions, improve adherence, and reduce readmission rates -- not to mention at a price more affordable than ever. The companies you’ll hear from in this session are using a healthy and innovative mix of data, educational tools, sensors, and more to improve patient outcomes.
A look at benefits realisation during every phase of transformation activities to operationalise portable digital health records
Day Two, Pop-up University 2, 09.00
Developing a Strategic Analytics Framework that Drives Healthcare TransformationTrevor Strome
About the presentation.
Based on Chapter 3 of my book "Healthcare Analytics for Quality and Performance Improvement", this presentation describes the key components of a strategic analytics framework that can enable your healthcare organization to leverage data from source-systems to achieve its quality, safety, and performance improvement goals.
What is an analytics strategy?
Analytics is currently a very “trendy” topic. The internet is scattered with many buzzwords, marketing angles, white papers, and opinions on the topic of healthcare analytics. With all this “noise”, it is easy to get distracted from what is actually required, from an analytics perspective, by your organization. An analytics strategy helps cut through the noise and keep focus on what is important for the organization. Regardless of what the latest “buzz” is, your analytics strategy will enable your organization to Invest now for what is required now, and invest later for what is required in the future.
An analytics strategy helps ensure that analytics development and capabilities are in alignment with enterprise quality and performance goals and helps avoids the “all dashboard, no improvement” syndrome. Furthermore, a well formed strategy document helps to achieve optimal use of analytics within a healthcare organization and can mean the difference between a “collection of reports” versus a high-value information resource.
An analytics strategy can rarely stand on its own. In general, the analytics strategy should use as input an organization’s Quality Improvement (QI) strategy and should be used to inform an organization’s Business Intelligence (BI) or Information Technology (IT) strategy. The analytics strategy is an important input to technical strategies because analytics, after all, can involve a sophisticated use of data and technology. Requirements for analytics may trigger a cascade of enhancements throughout other components of IT and BI (i.e., reporting, data storage, ETL, etc)
The document is intended to accompany Chapter 3, “Developing an Analytics Strategy to Drive Change”, so please refer to the chapter for further information about developing an analytics strategy.
mHealth Israel_Becton Dickinson_US Healthcare Digital Transformation_July 2015Levi Shapiro
Presentation for mHealth Israel by David Fegygin, VP of Health IT Integration and Strategic Innovation, Becton Dickinson, for mHealth Israel, July 14, 2015 in Tel Aviv
Quantifying My Body:The Role of the Human and Microbiome DNALarry Smarr
12.04.16
Invited Talk
Systems Biology and the Microbiome
Institute for Systems Biology
Title: Quantifying My Body:The Role of the Human and Microbiome DNA
Seattle, WA
Christina Wanscher presents an introduction to the Danish Healthcare system, healthcare transformation initiatives, National Healthcare IT and Integrated Care.
Details on the presentation found in link:
http://www-01.ibm.com/software/city-operations/curam-research-institute/curam-roundtable/index.html
Healthcare Transformation: The Journey of High-Value HealthcareHealth Catalyst
To manage population health, one needs to intimately understand the anatomy of healthcare and model how healthcare is delivered, in order to systematically improve healthcare outcomes. In this webinar, Dr. Burton draws on his 26-year executive career at Intermountain, Select Health, and Health Catalyst. He emphasizes the importance of linking administrative data (e.g., billing codes) to processes of clinical care to use the 80/20 principle to prioritize care processes within each venue to focus improvement initiatives on the things that matter most. He will also discuss a Clinical Integration framework to use in driving out waste by reducing variation in the ordering of care, the efficiency with which the care that is ordered is delivered and reducing defects in care delivery to make it safer.
Conferencia de Manuel Serrano Ortega, Gerente de Transformación Digital de Accenture, en El Instituto de la Economia Digital de ESIC, hablando sobre la Transformación Digital en la Industria de Healthcare y Pharma, descubriendo las últimas tendencias a través de la metodología del Coolhunting.
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Manu Varma, PhilipsHxRefactored
Through new telehealth technologies and increased data analysis physicians are gaining insights into patients like never before, allowing them to facilitate early interventions, improve adherence, and reduce readmission rates -- not to mention at a price more affordable than ever. The companies you’ll hear from in this session are using a healthy and innovative mix of data, educational tools, sensors, and more to improve patient outcomes.
A look at benefits realisation during every phase of transformation activities to operationalise portable digital health records
Day Two, Pop-up University 2, 09.00
Developing a Strategic Analytics Framework that Drives Healthcare TransformationTrevor Strome
About the presentation.
Based on Chapter 3 of my book "Healthcare Analytics for Quality and Performance Improvement", this presentation describes the key components of a strategic analytics framework that can enable your healthcare organization to leverage data from source-systems to achieve its quality, safety, and performance improvement goals.
What is an analytics strategy?
Analytics is currently a very “trendy” topic. The internet is scattered with many buzzwords, marketing angles, white papers, and opinions on the topic of healthcare analytics. With all this “noise”, it is easy to get distracted from what is actually required, from an analytics perspective, by your organization. An analytics strategy helps cut through the noise and keep focus on what is important for the organization. Regardless of what the latest “buzz” is, your analytics strategy will enable your organization to Invest now for what is required now, and invest later for what is required in the future.
An analytics strategy helps ensure that analytics development and capabilities are in alignment with enterprise quality and performance goals and helps avoids the “all dashboard, no improvement” syndrome. Furthermore, a well formed strategy document helps to achieve optimal use of analytics within a healthcare organization and can mean the difference between a “collection of reports” versus a high-value information resource.
An analytics strategy can rarely stand on its own. In general, the analytics strategy should use as input an organization’s Quality Improvement (QI) strategy and should be used to inform an organization’s Business Intelligence (BI) or Information Technology (IT) strategy. The analytics strategy is an important input to technical strategies because analytics, after all, can involve a sophisticated use of data and technology. Requirements for analytics may trigger a cascade of enhancements throughout other components of IT and BI (i.e., reporting, data storage, ETL, etc)
The document is intended to accompany Chapter 3, “Developing an Analytics Strategy to Drive Change”, so please refer to the chapter for further information about developing an analytics strategy.
mHealth Israel_Becton Dickinson_US Healthcare Digital Transformation_July 2015Levi Shapiro
Presentation for mHealth Israel by David Fegygin, VP of Health IT Integration and Strategic Innovation, Becton Dickinson, for mHealth Israel, July 14, 2015 in Tel Aviv
Quantifying My Body:The Role of the Human and Microbiome DNALarry Smarr
12.04.16
Invited Talk
Systems Biology and the Microbiome
Institute for Systems Biology
Title: Quantifying My Body:The Role of the Human and Microbiome DNA
Seattle, WA
Towards Digitally Enabled Genomic Medicine: the Patient of The FutureLarry Smarr
12.02.22
Invited Speaker
Hacking Life
TTI/Vanguard Conference
Title: Towards Digitally Enabled Genomic Medicine: the Patient of The Future
San Jose, CA
12.04.25
Pioneer Session: "N=1: Pioneers of Self-Tracking“
Panel at the Genomes, Environment, and Traits Conference
Harvard Medical School
Title:My N=1 Experience
Cambridge, MA
Know Thyself: Quantifying Your Human Body and Its One Hundred Trillion MicrobesLarry Smarr
Understanding Cultures and Addressing Disparities in Society: Degrees of Health and Well-Being Public Lecture Series
University of California, San Diego
January 20, 2016
2014.02.06
Calit2 Director Larry Smarr lecture to the Osher Lifelong Learning Institute as part of the Winter 2014 Qualcomm Institute lecture series for Osher.
Individual, Consumer-Driven Care of the Future: Taking Wellness One Step FurtherLarry Smarr
Calit2 Director Larry Smarr gives the closing keynote address to the 2nd annual Learning Conference on Integrated Delivery Systems in San Diego on May 7, 2014.
Personal Data Tracking and the Digital Transformation of Healthcare
1. “Personal Data Tracking and
the Digital Transformation of Healthcare”
Invited Talk
University of Illinois Silicon Valley Round Table
Palo Alto, CA
December 5, 2012
Dr. Larry Smarr
Director, California Institute for Telecommunications and Information
Technology
Harry E. Gruber Professor,
Dept. of Computer Science and Engineering
1
Jacobs School of Engineering, UCSD
2. Calit2 Has Been Had a Vision of
“the Digital Transformation of Health” for a Decade
www.bodymedia.com
• Next Step—Putting You On-Line!
– Wireless Internet Transmission
– Key Metabolic and Physical Variables
– Model -- Dozens of Processors and 60 Sensors /
Actuators Inside of our Cars
• Post-Genomic Individualized Medicine
– Combine
– Genetic Code
– Body Data Flow
– Use Powerful AI Data Mining Techniques
The Content of This Slide from 2001 Larry Smarr
Calit2 Talk on Digitally Enabled Genomic Medicine
3. The Calit2 Vision of Digitally Enabled Genomic Medicine
is an Emerging Reality
3
July/August 2011 February 2012
4. I Arrived in La Jolla in 2000of My Body andin the Midwest
By Measuring the State After 20 Years “Tuning” It
Using Nutrition and Exercise, Ithe Obesity Trend
and Decided to Move Against Became Healthier
Age Age Age
41 51 61
1999 2010
2000
1999
1989
I Reversed My Body’s Decline By
Altering Nutrition and Exercise
5. Is Government and Medical Advice
Driving the Obesity Epidemic?
The Low-Carb Alternative
Avoid High Glycemic Carbs Which
Spike Your Glucose-Insulin Cycle
7. Quantifying My Sleep Pattern Using a Zeo -
Increased My Average to 8 Hours/Night
Stroke risk increased by sleeping less than six hours a night
-M. Ruiter, Sleep 2012
REM is Normally 20% of Sleep An Infant Typically
Mine is Between 45-65% of Sleep Has 50% REM
8. Challenge-Coupling Personal Sensor Data
With Social Networks Across Private Clouds
Withing/iPhone-
Blood Pressure
Body Media-
Calories Burned
Lose It-
Calories Ingested
EM Wave PC-
Stress
Azumio-Heart Rate
Zeo-Sleep
9. From One to a Billion Data Points Defining Me:
The Exponential Rise in Body Data in Just One Decade!
Billion:Microbial Genome
My Full DNA,
MRI/CT Images
Improving Body
SNPs
Million: My DNA SNPs,
Zeo, FitBit
Discovering Disease
Blood
Variables
One: Hundred: My Blood Variables
Weight Weight
My
11. I Track 100 Variables in Blood Tests
Done Quarterly to Annually
• Electrolytes • Liver
– Sodium, Potassium, Calcium, – GGTP, SGOT, SGPT, LDH, Total
Magnesium, Phosphorus, Boron, Direct Bilirubin,
Chlorine, CO2 Alkaline Phosphatase
• Micronutrients • Thyroid
– Arsenic, Chromium, Cobalt, – T3 Uptake, T4, Free Thyroxine
Copper, Iron, Manganese, Index, FT4, 2nd Gen TSH
Molybdenum, Selenium, Zinc • Blood Cells
• Blood Sugar Cycle – Complete Blood Cell Count
– Glucose, Insulin, A1C Hemoglobin – Red Blood Cell Subtypes
• Cardio Risk – White Blood Cell Subtypes
– Complex Reactive Protein • Cancer Screen
– Homocysteine – CEA, Total PSA, % Free PSA
• Kidneys – CA-19-9
– Bun, Creatinine, Uric Acid • Vitamins & Antioxidant Screen
• Protein – Vit D, E; Selenium, ALA, coQ10,
– Total Protein, Albumin, Globulin Glutathione, Total Antioxidant Fn.
Only One of These Was
Far Out of Normal Range
12. My Blood Measurements Revealed
Chronic Inflammation
Episodic Peaks in Inflammation 27x
Followed by Spontaneous Drop
15x
Antibiotics
5x
Antibiotics
Normal Range CRP < 1
Complex Reactive Protein (CRP) is a Blood Biomarker
for Detecting Presence of Inflammation
14. By Quantifying Stool Measurements Over Time
I Discovered Source of Inflammation Was Likely in Colon
124x Upper Limit Typical
Lactoferrin
Value for
Stool Samples Analyzed Active
by www.yourfuturehealth.com IBD
Normal Range
<7.3 µg/mL
Lactoferrin is a Sensitive and Specific Biomarker for
Detecting Presence of Inflammatory Bowel Disease (IBD)
15. Confirming the IBD (Crohn’s) Hypothesis:
Finding the “Smoking Gun” with MRI Imaging
Liver I Obtained the MRI Slices
Transverse Colon
From UCSD Medical Services
and Converted to Interactive 3D
Working With
Small Intestine Calit2 Staff & DeskVOX Software
Descending Colon
MRI Jan 2012
Cross Section
Diseased Sigmoid Colon
Major Kink
Sigmoid Colon
Threading Iliac Arteries
17. Why Did I Have an Autoimmune Disease like IBD?
Despite decades of research,
the etiology of Crohn's disease
remains unknown.
Its pathogenesis may involve
a complex interplay between
host genetics,
immune dysfunction,
and microbial or environmental factors.
--The Role of Microbes in Crohn's Disease
So I Set Out to Quantify All Three!
Paul B. Eckburg & David A. Relman
Clin Infect Dis. 44:256-262 (2007)
18. I Wondered if Crohn’s is an Autoimmune Disease,
Did I Have a Personal Genomic Polymorphism?
From www.23andme.com Polymorphism in
Interleukin-23 Receptor Gene
— 80% Higher Risk
ATG16L1
of Pro-inflammatory
Immune Response
IRGM
NOD2 SNPs Associated with CD
19. Putting Multiple Immunological Biomarker Time Series
Together, Reveals Major Immune Dysfunction
Green : Inside Range
Orange: 1-10x Over
Red: 10-100x Over
Purple: >100x Over
Source: Calit2 Future Health Expedition Team
20. Determining My Gut Microbes
and Their Time Variation
Shipped Stool Sample
December 28, 2011
I Received
a Disk Drive April 3, 2012
With 35 GB FASTQ Files
Weizhong Li, UCSD
NGS Pipeline:
230M Reads
Only 0.2% Human
Required 1/2 cpu-yr
Per Person Analyzed!
21. Phyla Gut Microbial Abundance:
LS, Crohn’s, UC, and Healthy Subjects
LS Crohn’s Ulcerative Healthy
Colitis
23. Where I Believe We are Headed: Predictive,
Personalized, Preventive, & Participatory Medicine
I am Leroy Hood’s Lab Rat!
www.newsweek.com/2009/06/26/a-doctor-s-vision-of-the-future-of-medicine.html