Literature DB >> 10847384

Implementing a Java-based image and report distribution system in a non-picture archiving and communication system environment.

G Wendt1, T Kulbago, W Peppler.   

Abstract

The benefits and pitfalls of implementing a Java-based system to distribute results and images to referring physicians are addressed. The basic requirements for and barriers to implementing this system in a non-picture archiving and communication system (PACS) environment will also be discussed. The majority of radiology information systems (RIS) and hospital information systems (HIS) currently only distribute the text data for radiology examinations. This is generally adequate for low-acuity exams in a relatively healthy patient; however, many clinicians prefer to review images so they can correlate the reported findings with the image data, as well as review the exam themselves. A web-based solution eliminates the need for specialized review software and/or hardware at each review site. In addition, there is no need for support personnel to travel to each site to set up and upgrade software.

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Year:  2000        PMID: 10847384      PMCID: PMC3453289          DOI: 10.1007/bf03167646

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  4 in total

1.  Using digital certificates for radiology result receipt confirmation.

Authors:  G Wendt; T Kulbago; W Peppler
Journal:  J Digit Imaging       Date:  2001-06       Impact factor: 4.056

2.  Performance of Web-based image distribution: client-oriented measurements.

Authors:  B Bergh; M Pietsch; A Schlaefke; T J Vogl
Journal:  Eur Radiol       Date:  2003-04-01       Impact factor: 5.315

3.  Performance of Web-based image distribution: server-oriented measurements.

Authors:  B Bergh; M Pietsch; A Schlaefke; I Garcia; T J Vogl
Journal:  Eur Radiol       Date:  2003-04-12       Impact factor: 5.315

4.  Performance enhancement of a web-based picture archiving and communication system using commercial off-the-shelf server clusters.

Authors:  Yan-Lin Liu; Cheng-Ting Shih; Yuan-Jen Chang; Shu-Jun Chang; Jay Wu
Journal:  Biomed Res Int       Date:  2014-02-20       Impact factor: 3.411

  4 in total

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