Literature DB >> 7476470

A three-level graph-based model for the management of hospital information systems.

A Winter1, R Haux.   

Abstract

Information processing in hospitals, especially in university hospitals, is currently faced with two major issues: low-cost hardware and progress in networking technology leads to a further decentralization of computing capacity, due to the increasing need for information processing in hospitals and due to economic restrictions, it is necessary to use commercial software products. This leads to heterogeneous hospital information systems using a variety of software and hardware products, and to a stronger demand for integrating these products and, in general, for a dedicated methodology for the management of hospital information systems to support patient care and medical research. We present a three-level graph-based model (3LGM) to support the systematic management of hospital information systems. 3LGM can serve as a basis for assessing the quality of information processing in hospitals. 3LGM distinguishes between a procedural level for describing the information procedures (and their information interchange) of a hospital information system and thus its functionality, a logical too level, focusing on application systems and communication links, and a physical tool level with physical subsystems (e.g., computer systems) and data transmission. The examples that are presented have been taken from the Heidelberg University Hospital Information System.

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Year:  1995        PMID: 7476470

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  2 in total

1.  A process model basis for evolving hospital information systems.

Authors:  G Vassilacopoulos; E Paraskevopoulou
Journal:  J Med Syst       Date:  1997-06       Impact factor: 4.460

2.  On Teaching International Courses on Health Information Systems. Lessons Learned during 16 Years of Frank - van Swieten Lectures on Strategic Information Management in Health Information Systems.

Authors:  Elske Ammenwerth; Petra Knaup; Alfred Winter; Axel W Bauer; Oliver J Bott; Matthias Gietzelt; Birger Haarbrandt; Werner O Hackl; Nils Hellrung; Gudrun Hübner-Bloder; Franziska Jahn; Monique W Jaspers; Ulrike Kutscha; Christoph Machan; Bianca Oppermann; Jochen Pilz; Jonas Schwartze; Christoph Seidel; Jan-Eric Slot; Stefan Smers; Katharina Spitalewsky; Nathalie Steckel; Alexander Strübing; Minne van der Haak; Reinhold Haux; Willem J Ter Burg
Journal:  Methods Inf Med       Date:  2017-03-08       Impact factor: 2.176

  2 in total

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