Ph.D. Tomas Plankis Vilnius University tomas.plankis@mif.vu.lt - PowerPoint PPT Presentation

Ph.D. Tomas Plankis Vilnius University tomas.plankis@mif.vu.lt

Faculty of Mathema/cs and Informa/cs

Supercomputer  SGI Altix 4700  Sun Fire X4100  New supercomputer (1500 cores, 600 TB)  Distributed computing network  Software

“Personnel” Scientists Students  A lot of students, who could help in research and  We have a lot high class experiments specialists to do research in  A lot of students, who could many different fields be teached the newest knowledge

Short about... myself  6 years experience in healthcare  one of the developers of patients management system  experience in data management  experience in medical systems  experience in interoperability

Doctor’s needs

Medical Systems MRI (magnetic resonance X‐ray imaging) ECG (electrocardiography) EEG (electroencephalography) Microscopy etc...

Data Analysis  Analyse tests’ data and give some preliminary conclusions  Analyse patients records to show possible health problems in the future or with the prescription

Repository of Knowledge and Data Access  To be able to access all new knowledge in an instant  To have some sort of registry  To be able to use gathered information directly for teaching or learning purposes  Etc.

GRID as a Distributed System  Grids are a form of distributed computing  GRID ‐ the combination whereby a “super virtual of computer resources computer” is composed from multiple of many networked administrative domains computers acting to reach a common goal together to perform very large tasks

What can we have from GRIDS?  We can have resources on demand. For example we can get huge computational power when we need it.  We can create a “virtual network” to exchange data between health care facilities. That means, that we do not need to store all medical records about one pacient in one “center”, but rather we can access it if we need it. What’s more important, we don’t need to know where that data is. This solves few problems like: huge storages or slow obtaining of data.

What do we have?

National Health Insurance Fund

What can we have?

GRID

Data access for curing, teaching or learning, trauma registries, etc. Anonymization Analytical Private and server everyday (Supercom usage puter) Repository Deanonymization (Cloud)