Technology Perspectives Abstracts

Health Information Exchanges (HIEs) based on an Interoperable Information Infrastructure
William Mohlenbrock, M.D., Founder and Chairman, Crossflo Systems Inc.

The presentation will focus on the functional requirements of an Information Infrastructure necessary to support a hospital enterprise (local) HIE as well as a state-wide HIE. Trasnportable electronic health records (EHRs) and their use at the local and state-wide HIE for syndromic surveillance and the proposed National Health Information Network (NHIN) will be discussed in the format of a functioning use case.

Cancer Won’t Wait: Implementing eHealth in the New Europe
Dr Joan Dzenowagis, World Health Organization

Abstract not available

Bringing Clinical Research into the Personalized Medicine Era - The Role of Information Technology
John Speakman - NCI, Center for Bioinformatics

This presentation will discuss the current direction and pace of drug discovery, and especially the broadening gap between this and the state of the art in clinical development. The National Cancer Institute's Cancer Biomedical Informatics Grid (caBIGTM) Program is addressing this issue using a modular paradigm—in effect a services-oriented architecture for the Life Sciences—as opposed to the monolithic systems currently found in clinical research. An interoperable series of software modules is being developed; these modules can exchange information and functionality not just with each other, but also with modules in the basic science domain, either existing or yet to be envisaged.

In Pursuit of Clinical Transformation: IT and the Transformation of American Healthcare
Erik Johnson, Managing Director, True North Program, The Advisory Board

This presentation will focus on the dynamics driving the increased digitization of inpatient clinical workflows. Topics addressed include the primary challenges to successful electronic medical records (EMR) implementations, best practices for enabling and empowering the mobile clinical workforce, and lessons learned in avoiding common but hidden pitfalls in realizing the maximum value from clinical IT implementations.