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Robert S. Gold, Dean University of Maryland School of Public Health Prepared for 40th Anniversary Celebration and Annual Meeting November 1, 2007. Technological Innovation in Reducing Health Disparities. Eta Sigma Gamma. Vision: High Quality Interventions.

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technological innovation in reducing health disparities
Robert S. Gold, Dean

University of Maryland

School of Public Health

Prepared for

40th Anniversary Celebration

and Annual Meeting

November 1, 2007

Technological Innovation in Reducing Health Disparities

Eta Sigma Gamma

vision high quality interventions
Vision: High Quality Interventions
  • How do we maintain and improve on the efficiency of current public health interventions without dramatically increasing cost?
  • How do we contribute to the reduction in the disparity in morbidity and mortality for underserved populations?
  • How do we take appropriate advantage of advanced technologies to accomplish the first two?
slide4
If we can decode this

Why can’t we decode this?

slide5
If we can figure out how to read this

Why can’t we figure out how to read this?

slide6
If we can land here

Why can’t we land here?

slide7
If we can build this

Why can’t we build this?

slide8
If this is a cultural phenomenon

Why can’t we figure out how to effectively apply this kind of technology for education?

slide9
If we have so many best practices

Why can’t we figure out how to get educators to use them effectively?

how do we get there
How do we get there?
  • Recognize challenges
  • Apply effective technology strategies & tools
  • Use interactive and appropriate learning strategies
  • Generate a plan for strategic deployment
which technology is best
Which technology is best?
  • We should focus on critical outcomes, not technology.
  • Key to effective interventions is:
    • focusing on the needs of the populations
    • the requirements of the content, and
    • the constraints faced by the practitioner, before selecting a delivery system.
technology givens
Technology givens!
  • Continuous and rapid change
  • Regularly redefining effective and best practices
  • Benefits realized only when effectively integrated into lifestyle and practice
  • We are not always prepared

Source: http://www.oswego.org/ocsd-web/tech/techplan/staff-dev.htm

what we do
What we do!
  • My philosophical orientation!
    • We must remove all barriers . . .
caveat
Caveat
  • We don’t always need more powerful hardware
  • Sometimes we need:
    • Better pedagogy
    • More effective application of learning theory
    • Discovery, exploration, user generated automata
my fears revolve around
My fears revolve around:
  • Individualism ~ Dehumanization
  • Content focus ~ Technology focus
concerns
Concerns
  • Cost
  • Access
  • Functionality
the technologies
The technologies:
  • Visualization technologies
  • Biomedical technologies
  • Communication technologies
  • Data technologies
  • Educational technologies
  • Science fiction technologies
visualization technologies
Visualization technologies
  • Transform information into a visual form, enabling the viewer to easily understand the information using interactive graphics and visual design
  • Although an old idea, two things create new opportunities
    • Increasing computing power
    • Increasing amount of information online
visualization new techniques
Visualization – new techniques
  • Scientific visualization
  • Visualization of text
  • Visualization of histories
  • Visualization of data - GIS
  • Visualization of social networks
  • Real-time visualization
  • Visualization of concepts
scientific visualization
Scientific visualization
  • Molecular models
  • Bioinformatics
  • Medical imaging
  • A technique to organize information allowing analysis
text visualization
Text visualization
  • Explore the fabric and meaning of text in context
  • A technique to organizing information to enhance comprehension
visualization of histories
Visualization of “histories”
  • A mechanism to graphically illustrate and explore relationships between people, events, concepts
  • A technique to organize information to see relationships
geographic information systems
Geographic Information Systems
  • Tracking disease
  • Overlaying population group and geographic data
  • Evaluation of change over time
social network analysis
Social Network Analysis
  • Diseases are often spread through social contact
  • Contact information is often key in controlling an epidemic, man-made or otherwise
  • There is a long history of the use of DM tools in the study of social networks: Social networks as graphs.

*Center for Discrete Mathematics and Theoretical Computer Science / National Science Foundation

spread of opinion
Spread Of Opinion
  • Of relevance to bioterrorism.
    • Dynamic models of how opinions spread through social networks
    • Your opinion changes at time t+1 if the number of neighboring vertices with the opposite opinion at time t exceeds threshold
    • Widely studied
    • Relevant variants: confidence in your opinion (= immunity); probabilistic change of opinion

*Center for Discrete Mathematics and Theoretical Computer Science / National Science Foundation

social networks
Social networks
  • NEJM – social network analysis and spread of obesity
  • Network analysis

Source: Christakis NA, Fowler JH (2007) The Spread of Obesity in a Large Social Network over 32 Years. N Engl J Med. 357(4):370-9.

biomedical technologies
Biomedical technologies
  • Bioengineering
  • Genomics and Epigenetics
  • Nanotechnology
bioengineering
Bioengineering
  • Thought controlled smart prostheses
  • Biomechanics of blood flow
  • Biomechanics of muscle and soft tissue
  • Engineering molecular biosensors
genomics and epigenetics
Genomics and Epigenetics
  • Functional genomics
  • Epigenetics
nanotechnology
Nanotechnology
  • Applied science working on the atomic and molecular level
  • Nanomedicine
    • e.g., bioavailability
data technologies
Data technologies
  • Computer clusters
  • Grid computing
educational technologies
Educational technologies
  • In this environment we have:
    • Access to national online networks and data
    • Data mining and visualization tools
    • Knowledge based approaches / knowledge management
    • Simulation and modeling
    • Grid-based computing
    • Other non-hardware based strategies
educational technologies1
Educational technologies
  • Self-paced interactive multimedia tailored to educational diagnosis
  • Simulation technologies
  • Expert systems / decision support systems
  • Knowledge management systems
  • Groupware
  • Data technologies / techniques
  • GIS
  • Other – the brain
appropriate technology can revolutionize
Appropriate technology can revolutionize:
  • The delivery system of products and services
  • The way we communicate
  • The way we use and view television
  • The way we individualize and personalize education
  • The way we internalize, understand, and use massive amounts of data
science fiction technologies
Science fiction technologies

Personalized medicine?

i believe
I believe
  • that all thought, memory, feeling, and emotion are the result of biochemical reactions.
  • If true, then all behavioral choices are also chemical reactions
  • Therefore, what is the future of
    • health disparities research?
    • Public health education?
two universal principles
Two universal principles
  • Virtually all diseases / health states have a genetic component
  • There are no perfect human specimens
    • All of us carry a significant number of DNA glitches

For us, next three pillars of genomic futures

    • Genomics to biology
    • Genomics to health
    • Genomics to society

Source: Francis S. Collins, MD, PhD, National Human Genome Research Institute, NIH

genomics to biology
Genomics to biology
  • Define the structure of human variation
  • Sequence lots of additional genomes
  • Reduce the cost of sequencing
  • Identify all functional elements of the genome
  • Identify all the proteins of the cell, and their interactions
  • Develop a computational model of the cell
genomics to health
Genomics to health
  • Define genetic and environmental risk factors for all common disease
  • Develop a strategy for individualized preventive medicine
  • Develop gene-based therapeutics for single gene and complex disorders
  • Educate health professionals
  • Define causes of health disparities
genomics to society
Genomics to society
  • Ensure genetic privacy and protection against genetic discrimination
  • Define genetic factors that influence behavior
  • Ensure appropriate patenting and licensing practices to benefit the public
  • Understand the relationship of genomics, race, and ethnicity
  • Define boundaries of the appropriate application of genomics in the non-medical arena
what s next
What’s next
  • 2010 – mainstreaming of individualized preventive medicine
    • Predictive genetic tests
    • Interventions to reduce risk
    • Pharmacogenomics is standard of care
  • But
    • Will access be inequitable? Will disparities persist?
    • Will genetic discrimination be allowed?
slide43
2020 – genomic therapeutic revolution in full swing
    • Gene-based designer drugs (diabetes, alzheimer’s)
    • Gene therapy standard of care
    • Sequencing a complete human genome costs $1,000
  • But
    • Intense debate underway on non-medical uses of genetics
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