Literature DB >> 9803994

Deployable teleradiology and telemedicine for the US military.

S K Mun1, B Levine, K Cleary, H Dai.   

Abstract

The US military has been an effective proponent of digital imaging and teleradiology for the past 15 years. A digital imaging network that can eliminate the use of X-ray film can make the requirements simpler for military medicine. X-ray film requires the storage of new, unexposed films that have a fixed shelf life, and the storage and use of chemicals and water for processing. In some deployed situations, the chemical discharge has to be collected and shipped out of the deployed area. The technology of electronic imaging is therefore intrinsically important to military medicine. In December of 1995, the US government started to deploy 20000 US troops to Bosnia-Herzegovina as part of NATO's peace keeping operation (IFOR). A full complement of medical support facilities was to be established in the Bosnia region and Hungary where the deployment was staged. Primetime III was a project to deploy telemedicine and teleradiology capabilities linking these medical treatment facilities (MTF). The deployment of telemedicine was not the responsibility of our engineering team. This paper deals with the deployable teleradiology (DEPRAD) system that was installed by the ISIS Center at a number of facilities for filmless radiology and teleradiology services.

Mesh:

Year:  1998        PMID: 9803994     DOI: 10.1016/s0169-2607(98)00040-6

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

Review 1.  Theory and applications of telemedicine.

Authors:  Nihal Fatma Güler; Elif Derya Ubeyli
Journal:  J Med Syst       Date:  2002-06       Impact factor: 4.460

Review 2.  Database application of digital medical X-rays and labs: computerization, storage, retrieval, interpretation, and distribution.

Authors:  Myron Hatcher; Hossein Tabriziani; Irene Heetebry
Journal:  J Med Syst       Date:  2005-08       Impact factor: 4.460

Review 3.  Artificial Intelligence for the Future Radiology Diagnostic Service.

Authors:  Seong K Mun; Kenneth H Wong; Shih-Chung B Lo; Yanni Li; Shijir Bayarsaikhan
Journal:  Front Mol Biosci       Date:  2021-01-28
  3 in total

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