Presented by Shu-Yen Wan, Ph.D. [email protected]
http://biomigviz.wordpress.com
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Why the Topic of Cloud Computing? 2010 red sea ODM C cloud
computing connectivity client device solution provider Cloud
Computing cloudy, vague, ambiguous ISYS an integrated System
developed by NCGR 2 dynamic, flexible open source platform for
integration of bioinformatics software tools and databases
component-based architecture that enables "plug and play" among
tools of interest allowing web-based resources to be integrated
(NCGR: National Center for Genome Research)
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Outline What is cloud computing? Cloud computing plain and
simple, and more.. Cloud computing plain and simple.. Cloud
computing in Healthcare Conclusions and thoughts 3
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Cloud Computing: Predecessors Application service provider?
Software as a service(Saas))? Platform as a service(PaaS))? Grid
computing? Utility computing? Computation Trends Virtualization
application and infrastructure are independent Grid computing
distributed computing where the supporting nodes are geographically
distributed or cross administrative domains. Utility computing
packaging computing resources as a metered service similar to a
traditional public utility (such as electricity, water, natural
gas, phone network, etc.) Software as a service pay as you go,
service on demand 4
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Cloud Computing A Convergence Cloud is a style of computing Use
Internet technologies Virtual Scalable and elastic IT-related
capabilities Efficient Flexible 5
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Now and Future Traditional licensed software Expensive sedan
with fixed price for basic+additional equipments, extended warranty
cash up front Software as a service Leased car without being able
to make significant change daily or monthly fixed charge Cloud
computing Metered cab pay as you go, no maintenance costs
Multi-tenancy More scalable, secure, reliable 6
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Cloud Computing Examples: Telecom CaaS Compute as a Service
AT&T CaaS, Verizon CasS Emphasis on utility, flexibility,
layered approach to enhance security, workflow improvement CaaS,
2010 Chunghwa telecom What it says: At least 100GB storage service
Reliable Low cost (pay as you use) Portability Scalability Backup
and recovery 7
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Cloud Computing Examples: The Giants Google Gmail, Google Docs,
Google Talk, Google Canlendar, Google Gadget IBM Cloud Microsoft
Software + service Yahoo Yahoo!Live, Yahoo!oneConnect, NewsGlobe
Amazon Amazon Elastic Compute Cloud (Amazon EC2): a web service
that provides resizable computation capacity in the cloud 8
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Cloud Computing Examples: OS Operating systems in the Cloud or
on-line operating systems http://beta.cloudo.com http://www.oos.cc
http://www.eyeos.org 9
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Real World Case Studies from Emergency Teleradiology to
Hospital Cross Reading and Long Term Archiving (RWCS01) Overview of
cloud based services in hospitals End user needs and third party
support eHealth implementation exmple Case studies Maasstad
Hospital, Rotterdam, The Netherlands Imadis Teleradiologie, France
RWCS Conclusion 10 Adapted from the presentation by Peirre Yves
Nectoux (CSH: Carestream Healthcare) at World of Health IT 2010,
Barcelona, Spain, Mar. 15 th, 2010
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RWCS02: Fundamental Move in Hospitals In a context of
Increasing demand for quality and security of care Costs pressure
Regulatory and legal pressure How to face these challenges? 11
Resources SharingExpertise SharingCollaboration
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RWCS03: Multiple Requirements, Multiple Needs in Real Life
12
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RWCS04: Cloud-based Services 13
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RWCS05: What is Cloud-based Service? 14 SLA: Service Level
Agreement
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RWCS06: The eHealth Cloud A cloud for Healthcare 15
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RWCS07: eHealth Cloud Example (1/4) 16
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RWCS08: eHealth Cloud Example (2/4) 17
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RWCS09: eHealth Cloud Example (3/4) 18
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RWCS10: eHealth Cloud Example (4/4) 19
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RWCS11: The eHealth Cloud Ultimate Peace of Mind 20
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RWCS12: A Service Oriented Architecture 21 PIX: Private
Internet eXchange
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RWCS13: One Architecture, Two Examples 22
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RWCS14: Use Case 1 Long Term Archiving (1/9) 23
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RWCS15: Use Case 1 Long Term Archiving (2/9) 24
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RWCS16: Use Case 1 Long Term Archiving (3/9) 25
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RWCS17: Use Case 1 Long Term Archiving (4/9) 26
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RWCS18: Use Case 1 Long Term Archiving (5/9) 27
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RWCS19: Use Case 1 Long Term Archiving (6/9) 28
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RWCS20: Use Case 1 Long Term Archiving (7/9) 29
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RWCS21: Use Case 1 Long Term Archiving (8/9) 30
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RWCS22: Use Case 1 Long Term Archiving (9/9) 31
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RWCS23: Case Study 2 Emergency Teleradiology (1/10) 32
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RWCS24: Case Study 2 Emergency Teleradiology (2/10) 33
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RWCS25: Case Study 2 Emergency Teleradiology (3/10) 34
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RWCS26: Case Study 2 Emergency Teleradiology (4/10) 35
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RWCS27: Case Study 2 Emergency Teleradiology (5/10) 36
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RWCS28: Case Study 2 Emergency Teleradiology (6/10) 37
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RWCS29: Case Study 2 Emergency Teleradiology (7/10) 38
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RWCS30: Case Study 2 Emergency Teleradiology (8/10) 39
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RWCS31: Case Study 2 Emergency Teleradiology (9/10) 40
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RWCS32: Case Study 2 Emergency Teleradiology (10/10) 41
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Conclusions and Thoughts (1/3) One infrastructure, several
needs Moving to cloud-based eHealth services is the future Health
IT is increasing complexity Healthcare providers core activity is
not to build and maintain IT expertise Shared infrastructures
between several independent entities are necessary Different
requirements, different needs, one cloud! Cloud-based service
infrastructure must be open enough to handle the different
requirement Customization of workflows is key The future is NOW!
Few leading eHealth cloud infrastructure already exist! A large
range of services is already available, from archiving to PACS and
collaboration services 42
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Conclusions and Thoughts(2/3) Relevance of cloud computing with
Chang Gung Craniofacial Research Center 80% of IT expenses are on
IT maintenance, instead of upgrading (Gartner Research, Inc.) Many
individual/incompatible software systems 43
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Conclusions and Thoughts(3/3) Private cloud, public cloud,
hybrid cloud? Security issues Patient privacy Initial Steps into
Cloud Computing Virtualization Adapt applications to run as
virtualized images 44