Thin client architecture in support of remote radiology learning

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Thin client architecture in support of remote radiology learning

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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents

Honolulu, Hawaii

SESSION: Computer application in health care track table of contents

Pages 842-846

Year of Publication: 2009

ISBN:978-1-60558-166-8

Authors

Florian F. Schmitzberger	Stanford University, Stanford, California
Justus Roos	Stanford University, Stanford University Medical Center, Stanford, California
Sandy Napel	Stanford University, Stanford, California
Geoffrey D. Rubin	Stanford University, Stanford, California
David Paik	Stanford University, Stanford, California

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

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ACM New York, NY, USA

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ABSTRACT

We implemented a system for remote radiology learning which provides immediate feedback to the learner. Using a thin remote client, expert readers are asked to answer questions about specified radiological findings. These scans are presented as realtime 2D and 3D presentations which allow the user to freely manipulate them using a thin Java client with all 3D rendering performed on the server side. Answers are stored on the server and are used to provide feedback to learners who are presented with the same questions, using the remote client. Learners can practice on real datasets while receiving immediate feedback on their diagnosis and measurements. Novel concepts introduced are (1) the use of server-side rendering in radiology learning, (2) providing immediate and specific feedback to trainees, (3) the ability to provide useful feedback when a definitive gold standard does not exist and (4) a thin, highly compatible client that runs on common, existing hardware which allows to have more people participating in very complex radiological evaluations, even if there are not at the same site.

REFERENCES

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