Literature DB >> 12620314

Enterprise PACS and image distribution.

H K Huang1.   

Abstract

Around the world now, because of the need to improve operation efficiency and better cost effective healthcare, many large-scale healthcare enterprises have been formed. Each of these enterprises groups hospitals, medical centers, and clinics together as one enterprise healthcare network. The management of these enterprises recognizes the importance of using PACS and image distribution as a key technology in cost-effective healthcare delivery in the enterprise level. As a result, many large-scale enterprise level PACS/image distribution pilot studies, full design and implementation, are underway. The purpose of this paper is to provide readers an overall view of the current status of enterprise PACS and image distribution. reviews three large-scale enterprise PACS/image distribution systems in USA, Germany, and South Korean. The concept of enterprise level PACS/image distribution, its characteristics and ingredients are then discussed. Business models for enterprise level implementation available by the private medical imaging and system integration industry are highlighted. One current system under development in designing a healthcare enterprise level chest tuberculosis (TB) screening in Hong Kong is described in detail. Copyright 2002 Elsevier Science Ltd.

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Year:  2003        PMID: 12620314     DOI: 10.1016/s0895-6111(02)00078-2

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  16 in total

1.  Use of a human visual system model to predict observer performance with CRT vs LCD display of images.

Authors:  Elizabeth A Krupinski; Jeffrey Johnson; Hans Roehrig; John Nafziger; Jiahua Fan; Jeffery Lubin
Journal:  J Digit Imaging       Date:  2004-12       Impact factor: 4.056

2.  A balanced evaluation perspective: picture archiving and communication system impacts on hospital workflow.

Authors:  Rogier van de Wetering; Ronald Batenburg; Johan Versendaal; Reeva Lederman; Lucy Firth
Journal:  J Digit Imaging       Date:  2006       Impact factor: 4.056

3.  Technologies for image distribution in hospitals.

Authors:  Elmar Kotter; Tobias Baumann; Dieter Jäger; Mathias Langer
Journal:  Eur Radiol       Date:  2006-03-10       Impact factor: 5.315

4.  Picture, archiving and communication system in the Italian NHS: a primer on diffusion and evaluation analysis.

Authors:  Luca Buccoliero; Stefano Calciolari; Marta Marsilio; Elisa Mattavelli
Journal:  J Digit Imaging       Date:  2008-02-22       Impact factor: 4.056

Review 5.  The information security needs in radiological information systems-an insight on state hospitals of Iran, 2012.

Authors:  Akram Farhadi; Maryam Ahmadi
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

6.  Development of a research dedicated archival system (TARAS) in a university hospital.

Authors:  Tiina Rajala; Sami Savio; Jarkko Penttinen; Prasun Dastidar; Mika Kähönen; Hannu Eskola; Risto Miettunen; Väinö Turjanmaa; Ritva Järvenpää
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

7.  Evaluating the implementation of picture archiving and communication systems in Newfoundland and Labrador--a cost benefit analysis.

Authors:  Don MacDonald; Doreen Neville
Journal:  J Digit Imaging       Date:  2009-08-26       Impact factor: 4.056

8.  From PACS to Web-based ePR system with image distribution for enterprise-level filmless healthcare delivery.

Authors:  H K Huang
Journal:  Radiol Phys Technol       Date:  2011-06-16

9.  Five levels of PACS modularity: integrating 3D and other advanced visualization tools.

Authors:  Kenneth C Wang; Ross W Filice; James F Philbin; Eliot L Siegel; Paul G Nagy
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

10.  Implementation and Benefits of a Vendor-Neutral Archive and Enterprise-Imaging Management System in an Integrated Delivery Network.

Authors:  Chen Sirota-Cohen; Beverly Rosipko; Daniel Forsberg; Jeffrey L Sunshine
Journal:  J Digit Imaging       Date:  2019-04       Impact factor: 4.056

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