internet2 health sciences networking indian health service michael mcgill, ph.d. january 11, 2007
TRANSCRIPT
The scope of the Internet2 Health Science Initiative includes medical and related biological research, education, and advances in clinical practice.
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Key Health Science Members
• 112 Academic Medical Colleges (AAMC) and their medical centers• 130 Health Science related colleges
• Public Health, Nursing, Dentistry, Pharmacy • Affiliate Members
• NIH, NSF, NASA, NOAA• Howard Hughes Medical Institute
• Pharmaceutical Companies • Johnson & Johnson, Pfizer, Eli Lilly
• Industry• Prous Science, Cisco, IBM, Microsoft, SUN, Polycom, Haivision
• Partnership with Health Information Management Systems Society (HIMSS)
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More than a backbone…It’s the system!
• Applications• Middleware• Network• Security• Policy• Community is key
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Why Physicians/ Pharmacists Participate in Internet2
Distributed data sharing• Electronic Health Record• National Health Initiatives (ONCHIT)• Remote and Assisted Surgery• Remote Instrumentation• Real time access to remote images
Collaboration independent of boundaries• Geography: Second Opinion Networks• Time: Learning Technology (Distance Education)• Computation: Knowledge Management • Center of Excellence
New techniques and procedures• Surgical Planning• Digital Anatomy
Clinical:
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• Using DVTS (Digital Video Transport System) at 30 Mbps, Multicast
• Pathology faculty across four regional hospitals can conduct regular virtual consults with superior high quality images and minimal delay in transmitted slide manipulation
Dr. Michael Feldman, UPENN
Remote Pathology Consult
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Clinical
• Network requirements• Quality of Service
• Reliability• Minimal / No Congestion
• Capacity• Then --- Security and Privacy
• Plus -- Services that make it easier
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Why Scientists Participate in Internet2
•Need for continually increasing bandwidth to support the increasingly finer resolution of data resources
•To address policy issues such as the security and privacy requirements that must be met for the use of information that originates with or about a patient
•To remove roadblocks as they confront the increasing need to collaborate across political (including state and federal government), academic, defense and security, and commercial boundaries
Research:
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Biotech Data's BIG BANG
It's like Moore's Law on steroids:
The total volume of biological data worldwide,having doubled every 18 months in recent years,is now doubling every half a year to three months.And this isn't a momentary spike, but a long-term trend that may require new ways to measure, analyze and mine biological databases.
Chappell Brown
EE Times (04/25/2005)
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Health Science’s Grand Challenge
<Person-----Organ-----Tissue-----Cell-----Protein-----Atom>
(1m) (10-3m) (10-6m) (10-9m) (10-12m) (10-15m)
Systems models Continuum models (PDEs) ODEs Stochastic models Pathway models Gene networks
Courtesy: Peter Hunter, University of Auckland
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EACH BRAIN REPRESENTS
A LOTOF DATA
Comparisons must be made across several image sets
Slide courtesy of Arthur Toga (UCLA)
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Research Team of the Future:Cancer Biomedical Informatics Grid
• Global Cancer Research Community
• Grid deployment to Cancer Centers
• Bioinformatics infrastructure
• Public data sources
Funded by: NCI/NIH http://cabig.nci.nih.gov/
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messaging
Communal
note taking
lecture
Second
screenDynamic
charts
Why Faculty Participate in Internet2
•Increasingly specialized information •Access to expertise at remote locations•Multiple learning modalities•Access to resources not otherwise available
Slide courtesy:
Parvati Dev, Stanford University
Education:
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The Vision (tenants)
• Health is a discipline comprised of:• Research• Education • Clinical Care
• Patients deserve the best care we can afford• Advanced communications technologies have
proven their ability to allow change processes and cultures
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Vision for the Health Community
• A ubiquitous national health network• Integrating regional or sub-networks
• Strategically managed by the Health Community
• Interconnected with Research and Education
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Options for achieving the vision
• Dedicated Resource (Lambda)• Secure, Reliable, Expensive
• Dedicated portion of a Resource (sub-Lambda)
• Not as secure, Reliable, Not as expensive
• MPLS Tunnel• Less Secure, Reliable, Least Expensive
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The Real Challenge
• Policies and Regulations
• Culture and Trust
• Benefits
• Credibility