Search PubMed⌕ Search

PubMed · 10528581

Old tech gets hip again.

Abstract

Telemedicine goes deep in the heart of Texas. Pagers get more persistent in St. Louis. And an e-network spans Spokane. From idea to method to gadget, innovative communication in today's digital economy typically involves all three. In each of our three profiles, organizations have pushed old boundaries--and bumped against new ones--in their search for a speedier response, better care, and lower costs. Each added value by putting existing technology to a new use, not the other way around. They all broke new ground by pairing developers with the people taking advantage of their innovations. And all agree: They're hardly finished yet.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M Menduno. 1999. Old tech gets hip again.. https://pubmed.ncbi.nlm.nih.gov/10528581/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

The Palmer notation system and its use with personal computer applications.

The arguments for and against the Palmer dental notation system are briefly discussed, including the perceived difficulty of reproducing this on personal computers. Some technical solutions to the problems encountered in everyday Windows-based programs are outlined, with suggestions as to possible future applications.

Computer Communication Networks↗

A grid-based image archival and analysis system.

Here the authors present a Grid-aware middleware system, called GridPACS, that enables management and analysis of images in a massive scale, leveraging distributed software components coupled with interconnected computation and storage platforms. The need for this infrastructure is driven by the increasing biomedical role played by complex datasets obtained through a variety of imaging modalities. The GridPACS architecture is designed to support a wide range of biomedical applications encountered in basic and clinical research, which make use of large collections of images. Imaging data yield a wealth of metabolic and anatomic information from macroscopic (e.g., radiology) to microscopic (e.g., digitized slides) scale. Whereas this information can significantly improve understanding of disease pathophysiology as well as the noninvasive diagnosis of disease in patients, the need to process, analyze, and store large amounts of image data presents a great challenge.

Computer Communication Networks↗