Literature DB >> 11218036

Networks in the radiology department and the hospital.

E Pelikan1, E Kotter, U Timmermann.   

Abstract

Data networks are a basic technology with regard to an appropriate design of the information technology (IT) infrastructure for the hospital. Due to the distributed workflow within the hospital, an integrated Hospital Information System (HIS) is based mostly on a set of network applications facing specific items. Medical communication standards, i.e., HL 7, DICOM, and in the near future the migration towards XML, support the interoperability between the IT subsystems and pave the way to patient information systems with access to unified and complete electronic medical records (EMR). Furthermore, with standardized communication techniques, such as CORBAmed, an object-oriented design of Healthcare applications will be possible in the near future. The intent of this paper is to give an overview of which basic technologies are suitable for building comprehensive, flexible, and reliable hospital networks and which also meet the special demands of the radiology department.

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Mesh:

Year:  2001        PMID: 11218036     DOI: 10.1007/s003300000652

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  4 in total

1.  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

2.  APPC--a new standardised coding system for trans-organisational PACS retrieval.

Authors:  F Fruehwald; A Lindner; G Mostbeck; W Hruby; J Fruehwald-Pallamar
Journal:  Eur Radiol       Date:  2010-04-08       Impact factor: 5.315

3.  [Automated delivery of codes for charge in radiotherapy].

Authors:  Michael Sauer; Steffen Volz; Markus Hall; Fred Röhner; Hermann Frommhold; Anca-Ligia Grosu; Felix Heinemann
Journal:  Strahlenther Onkol       Date:  2010-06-24       Impact factor: 3.621

4.  Visualization of data in radiotherapy using web services for optimization of workflow.

Authors:  Stefan Kirrmann; Mark Gainey; Fred Röhner; Markus Hall; Gregor Bruggmoser; Marianne Schmucker; Felix E Heinemann
Journal:  Radiat Oncol       Date:  2015-01-20       Impact factor: 3.481

  4 in total

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