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Infrastructure for secure medical image sharing between distributed PACS and DI-r systems.

Recent developments in information and communication technologies and their incor-
poration into the medical domain have opened doors for the enhancement of health care
services and thereby increasing the work
ow at a reasonable rate. However, to implement
such services, current medical system needs to be
exible enough to support integration
with other systems. This integration should be achieved in a secure manner and the
resultant service should be made available to all health professionals and patients. This
thesis proposes a new infrastructure for secure medical image sharing between legacy
PACS and DI-r. The solution employs OpenID standard for user authentication, OAuth
service to grant authorization and IHE XDS-I pro les to store and retrieve medical im-
ages and associated meta data. In the proposed infrastructure cooperative agents are
employed to provide a user action, patient consent and system policy based access con-
trol mechanism to securely share medical images. This allows safe integration of PACS
and DI-r systems within a standard EHR system. In addition to this, a behavior-pattern
based security policy enhancement feature is added to the system to assist the system
security administrator. The resulting secure and interoperable medical imaging systems
are easy to expand and maintain. Behavior of the entire system is analysed using general-
purpose model driven development tool IBM Rational Rhapsody. The code generation
and animation capability of the tool makes it powerful for running e ective simulations.
We mainly explore the use of state charts and their interactions with MySQL database
to learn the behavior of the system.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OOSHDU.5
Date01 December 2013
CreatorsKurlakose, Krupa Anna
ContributorsSartipi, Kamran
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeThesis

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