Building Blocks for a Clinical Imaging Informatics Environment.

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 fa...

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Publicado en:Journal of Digital Imaging Vol. 27; no. 2; pp. 174 - 182
Autores principales: Kohli, Marc, Warnock, Max, Daly, Mark, Toland, Christopher, Meenan, Chris, Nagy, Paul
Formato: pictorial tables/charts Journal Article
Publicado: Springer Nature Apr2014
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Building Blocks for a Clinical Imaging Informatics Environment.
      aug:
        au:
          Kohli, Marc
          Warnock, Max
          Daly, Mark
          Toland, Christopher
          Meenan, Chris
          Nagy, Paul
        affil: Department of Radiology, Indiana University School, 550 University Blvd Indianapolis USA
      sug:
        subj:
          Health Informatics
          Diagnostic Imaging
          Systems Integration
          User-Computer Interface
          Health Level 7
          DICOM
          Radiology Information Systems
          Picture Archiving and Communication Systems
          Health Insurance Portability and Accountability Act
          Knowledge Management
          Quality Assurance
          Management Information Systems
          Reports
      ab: 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, ). 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.
      pubtype: Academic Journal
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        pictorial
        tables/charts
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      ougenre: Article
    language: English
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