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© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
© 2014 Health Catalyst
www.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
The Power of Geo-Analytics (and Maps) to
Improve Predictive Analytics in Healthcare
By David Crockett
© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
The Power of Geo-Analytics
If a picture is worth a thousand words,
then a good map is worth at least twice that…
There is much potential for using
maps and geo-analytics as a tool
for healthcare predictive analytics.
Geography and spatial
relationship is a significant tool in
terms of outcomes research,
comparative clinical effectiveness,
and evidence-based medicine. As early as the 1840s, Dr. John Snow
used a map to track cholera deaths in the
Soho district of London from a contam-
inated water source – the now infamous
Broad Street pump (see image below).
Dr. Snow is widely considered to be the
father of modern epidemiology.
© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
The Power of Geo-Analytics
Geo-Analytics: Ready for Primetime in Healthcare
Geographic information systems
(GIS) and geo-spatial analysis is a
well-developed industry – passing
its 50th anniversary in Fall 2012;
yet, with the possible exception of
epidemiology, much of healthcare
has not fully leveraged this
powerful analytics technology.
Various national and local data
sources are captured as map
layers and used with geo-analytics
to routinely optimize a wide-range
of operations and processes.
© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
The Power of Geo-Analytics
Geo-Analytics: Ready for Primetime in Healthcare
A natural extension of these
established approaches is to
leverage GIS mapping of health
care facilities, patient disease
burden, and accountable care
population health.
This robust technology is an
indispensable part of many
industries. Now is the time for
healthcare to fully leverage this
same power of geo-analytics.
© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
The Power of Geo-Analytics
Geo Data and Medical Informatics
This new type of ‘medical
informatics’ leverages national
geo data infrastructure to
improve personal health and
quality of care.
Here are examples of how this
look: (including the next slide)
Tracking water quality in major metropolitan areas
(University of Cincinnati).
Exploring your personal medical ‘Place History’
and exposure to reported chemicals (ESRI).
© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
The Power of Geo-Analytics
Geo Data and Medical Informatics
Visualizing the risk of heart disease and
stroke in the United States (CDC)
© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
The Power of Geo-Analytics
Geo Data and Medical Informatics
Geographic variation in medicine
(or geo-medicine) is championed
by well-known thought leaders
such as Jack Wennberg and Jim
Weinstein (Dartmouth), Bill
Davenhall (ESRI, Ted Talk), and
Jack Lord (University of Miami).
Stemming from early work in the
1970s, these studies were first
called “small area variation
analyses” by Wennberg and
Gittelsohn.
No doctor can I remember
ever asking me, ‘Where have
you lived?’ They haven’t
asked me [about] the quality
of the drinking water that I put
in my mouth or the food that I
ingest into my stomach.”
Bill Davenhall
© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Real World Geo-Spatial Analytics
in Healthcare
So that brings us to the real question at hand – how
‘healthy’ is your healthcare system?
Health Catalyst is developing
the methodology to integrate
multiple inputs into a visually
appealing analysis (think,
maps) of geographic care
boundaries, population health
demographics, and provider
locations.
Potential map layer inputs can include sources such as Hospital
Service Areas and Healthcare Referral Regions (Dartmouth Atlas of
Health Care), CMS service area definition (Hospital Compare), data
from the U.S. Census Bureau and Health Benefit Program filings
with state health insurance departments, among others
© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Real World Geo-Spatial Analytics
in Healthcare
The goal of all these analyses
is to measure and improve
referral tracking and
management, patient leakage
to outside networks, and
objective decision making for
population health managers.
We join with other geo-
medicine leaders offering to
you that indeed “geography is
the destiny of medicine.”
© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
More about this topic
4 Bold Predictions for Healthcare Analytics in 2014 and Beyond
Brent Dover, President
The Reality of Predictive Analytics Versus the Hype
David Crockett, Senior Director of Research and Predictive Analytics
Prescriptive Analytics Beats Simple Prediction for Improving Healthcare
David K. Crockett, Ph.D., Senior Director of Research and Predictive Analytics
In Healthcare Predictive Analytics, Big Data is Sometimes a Big Mess
David K. Crockett, Ph.D., Senior Director of Research and Predictive Analytics
Predictive Analytics: It’s the Intervention That Matters (Webinar, Slides, or Transcript)
Dale Sanders, Senior Vice President and David K. Crockett, Ph.D., Senior Director of
Research and Predictive Analytics
© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Other Clinical Quality Improvement Resources
Click to read additional information at www.healthcatalyst.com
David K. Crockett, Ph.D. is the Senior Director of Research and Predictive
Analytics. He brings nearly 20 years of translational research experience in
pathology, laboratory and clinical diagnostics. His recent work includes patents
in computer prediction models for phenotype effect of uncertain gene variants.
Dr. Crockett has published more than 50 peer-reviewed journal articles in areas such
as bioinformatics, biomarker discovery, immunology, molecular oncology, genomics and
proteomics. He holds a BA in molecular biology from Brigham Young University, and a
Ph.D. in biomedical informatics from the University of Utah, recognized as one of the
top training programs for informatics in the world. Dr. Crockett builds on Health
Catalyst’s ability to predict patient health outcomes and enable the next level of
prescriptive analytics – the science of determining the most effective interventions to
maintain health.

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The Power of Geo Analytics (and maps) to Improve Predictive Analytics in Healthcare

  • 1. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. © 2014 Health Catalyst www.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation. The Power of Geo-Analytics (and Maps) to Improve Predictive Analytics in Healthcare By David Crockett
  • 2. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. The Power of Geo-Analytics If a picture is worth a thousand words, then a good map is worth at least twice that… There is much potential for using maps and geo-analytics as a tool for healthcare predictive analytics. Geography and spatial relationship is a significant tool in terms of outcomes research, comparative clinical effectiveness, and evidence-based medicine. As early as the 1840s, Dr. John Snow used a map to track cholera deaths in the Soho district of London from a contam- inated water source – the now infamous Broad Street pump (see image below). Dr. Snow is widely considered to be the father of modern epidemiology.
  • 3. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. The Power of Geo-Analytics Geo-Analytics: Ready for Primetime in Healthcare Geographic information systems (GIS) and geo-spatial analysis is a well-developed industry – passing its 50th anniversary in Fall 2012; yet, with the possible exception of epidemiology, much of healthcare has not fully leveraged this powerful analytics technology. Various national and local data sources are captured as map layers and used with geo-analytics to routinely optimize a wide-range of operations and processes.
  • 4. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. The Power of Geo-Analytics Geo-Analytics: Ready for Primetime in Healthcare A natural extension of these established approaches is to leverage GIS mapping of health care facilities, patient disease burden, and accountable care population health. This robust technology is an indispensable part of many industries. Now is the time for healthcare to fully leverage this same power of geo-analytics.
  • 5. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. The Power of Geo-Analytics Geo Data and Medical Informatics This new type of ‘medical informatics’ leverages national geo data infrastructure to improve personal health and quality of care. Here are examples of how this look: (including the next slide) Tracking water quality in major metropolitan areas (University of Cincinnati). Exploring your personal medical ‘Place History’ and exposure to reported chemicals (ESRI).
  • 6. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. The Power of Geo-Analytics Geo Data and Medical Informatics Visualizing the risk of heart disease and stroke in the United States (CDC)
  • 7. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. The Power of Geo-Analytics Geo Data and Medical Informatics Geographic variation in medicine (or geo-medicine) is championed by well-known thought leaders such as Jack Wennberg and Jim Weinstein (Dartmouth), Bill Davenhall (ESRI, Ted Talk), and Jack Lord (University of Miami). Stemming from early work in the 1970s, these studies were first called “small area variation analyses” by Wennberg and Gittelsohn. No doctor can I remember ever asking me, ‘Where have you lived?’ They haven’t asked me [about] the quality of the drinking water that I put in my mouth or the food that I ingest into my stomach.” Bill Davenhall
  • 8. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Real World Geo-Spatial Analytics in Healthcare So that brings us to the real question at hand – how ‘healthy’ is your healthcare system? Health Catalyst is developing the methodology to integrate multiple inputs into a visually appealing analysis (think, maps) of geographic care boundaries, population health demographics, and provider locations. Potential map layer inputs can include sources such as Hospital Service Areas and Healthcare Referral Regions (Dartmouth Atlas of Health Care), CMS service area definition (Hospital Compare), data from the U.S. Census Bureau and Health Benefit Program filings with state health insurance departments, among others
  • 9. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Real World Geo-Spatial Analytics in Healthcare The goal of all these analyses is to measure and improve referral tracking and management, patient leakage to outside networks, and objective decision making for population health managers. We join with other geo- medicine leaders offering to you that indeed “geography is the destiny of medicine.”
  • 10. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. More about this topic 4 Bold Predictions for Healthcare Analytics in 2014 and Beyond Brent Dover, President The Reality of Predictive Analytics Versus the Hype David Crockett, Senior Director of Research and Predictive Analytics Prescriptive Analytics Beats Simple Prediction for Improving Healthcare David K. Crockett, Ph.D., Senior Director of Research and Predictive Analytics In Healthcare Predictive Analytics, Big Data is Sometimes a Big Mess David K. Crockett, Ph.D., Senior Director of Research and Predictive Analytics Predictive Analytics: It’s the Intervention That Matters (Webinar, Slides, or Transcript) Dale Sanders, Senior Vice President and David K. Crockett, Ph.D., Senior Director of Research and Predictive Analytics
  • 11. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Other Clinical Quality Improvement Resources Click to read additional information at www.healthcatalyst.com David K. Crockett, Ph.D. is the Senior Director of Research and Predictive Analytics. He brings nearly 20 years of translational research experience in pathology, laboratory and clinical diagnostics. His recent work includes patents in computer prediction models for phenotype effect of uncertain gene variants. Dr. Crockett has published more than 50 peer-reviewed journal articles in areas such as bioinformatics, biomarker discovery, immunology, molecular oncology, genomics and proteomics. He holds a BA in molecular biology from Brigham Young University, and a Ph.D. in biomedical informatics from the University of Utah, recognized as one of the top training programs for informatics in the world. Dr. Crockett builds on Health Catalyst’s ability to predict patient health outcomes and enable the next level of prescriptive analytics – the science of determining the most effective interventions to maintain health.