A scalable and self-adapting notification framework for healthcare information systems

Authors:
Anthony Okorodudu;Leonidas Fegaras;David Levine
Affiliations:
University of Texas at Arlington, Arlington, TX;University of Texas at Arlington, Arlington, TX;University of Texas at Arlington, Arlington, TX
Venue:
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Year:
2008

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Abstract

There has been a great interest in publish/subscribe systems in recent years. This interest, coupled with the pervasiveness of lightweight electronic devices, such as cellular phones and PDAs, have opened a new arena in publish/subscribe networks. Currently, many broker overlay networks are static and never change in structure. Often, a network overlay structure is predefined or manually manipulated. We present a dynamic broker network in the context of disseminating critical labs and patient information in a Healthcare Information System (HIS). Our work builds upon previous network optimization research on ad-hoc publish/subscribe networks. Our framework utilizes user-defined heuristic cost functions to satisfy QoS constraints. We also address certain reliability issues by providing a scheduling algorithm to selectively retransmit information.