technological innovation in reducing health disparities
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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. - PowerPoint PPT PresentationTRANSCRIPT
Technological Innovation in Reducing Health Disparities
Robert S. Gold, DeanUniversity of MarylandSchool of Public Health
Prepared for40th Anniversary Celebration
and Annual MeetingNovember 1, 2007
Eta Sigma Gamma
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?
Before we begin . . .
If we can decode this
Why can’t we decode this?
If we can figure out how to read this
Why can’t we figure out how to read this?
If we can land here
Why can’t we land here?
If we can build this
Why can’t we build this?
If this is a cultural phenomenon
Why can’t we figure out how to effectively apply this kind of technology for education?
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?
Recognize challenges Apply effective technology strategies &
tools Use interactive and appropriate
learning strategies Generate a plan for strategic
deployment
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!
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!
My philosophical orientation!
We must remove all barriers . . .
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:
Individualism ~ Dehumanization
Content focus ~ Technology focus
Concerns
Cost Access
Functionality
The technologies:
Visualization technologies
Biomedical technologies
Communication technologies
Data technologies
Educational technologies
Science fiction 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
Scientific visualization Visualization of text Visualization of histories Visualization of data - GIS Visualization of social networks Real-time visualization Visualization of concepts
Scientific visualization
Molecular models Bioinformatics Medical imaging
A technique to organize information allowing analysis
Text visualization
Explore the fabric and meaning of text in context
A technique to organizing information to enhance comprehension
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
Tracking disease Overlaying population
group and geographic data
Evaluation of change over time
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
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
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
Bioengineering
Genomics and Epigenetics
Nanotechnology
Bioengineering
Thought controlled smart prostheses
Biomechanics of blood flow
Biomechanics of muscle and soft tissue
Engineering molecular biosensors
Genomics and Epigenetics
Functional genomics
Epigenetics
Nanotechnology
Applied science working on the atomic and molecular level
Nanomedicine e.g., bioavailability
Communication technologies
Data technologies
Computer clusters
Grid computing
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 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:
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
Personalized medicine?
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
Virtually all diseases / health states have a genetic component
There are no perfect human specimens All of us carry a significant number of
DNA glitchesFor 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
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
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
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
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?
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