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. 2014 Apr;27(2):174-81.
doi: 10.1007/s10278-013-9645-0.

Building blocks for a clinical imaging informatics environment

Marc D Kohli  1 , Max Warnock, Mark Daly, Christopher Toland, Chris Meenan, Paul G Nagy
Affiliations

Building blocks for a clinical imaging informatics environment

Marc D Kohli et al. J Digit Imaging. 2014 Apr.

Abstract

Over the past 20 years, imaging informatics has been driven by the widespread adoption of radiology information and picture archiving and communication and speech recognition systems. These three clinical information systems are commonplace and are intuitive to most radiologists as they replicate familiar paper and film workflow. So what is next? There is a surge of innovation in imaging informatics around advanced workflow, search, electronic medical record aggregation, dashboarding, and analytics tools for quality measures (Nance et al., AJR Am J Roentgenol 200:1064-1070, 2013). The challenge lies in not having to rebuild the technological wheel for each of these new applications but instead attempt to share common components through open standards and modern development techniques. The next generation of applications will be built with moving parts that work together to satisfy advanced use cases without replicating databases and without requiring fragile, intense synchronization from clinical systems. The purpose of this paper is to identify building blocks that can position a practice to be able to quickly innovate when addressing clinical, educational, and research-related problems. This paper is the result of identifying common components in the construction of over two dozen clinical informatics projects developed at the University of Maryland Radiology Informatics Research Laboratory. The systems outlined are intended as a mere foundation rather than an exhaustive list of possible extensions.

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Figures

Fig. 1
Fig. 1
Depicts the connections between systems and the standards used at each step
Fig. 2
Fig. 2
Depicts an example of a context portal used to integrate several applications with a PACS client
Fig. 3
Fig. 3
Example of a dashboard for a radiology department
See this image and copyright information in PMC

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