Suppr超能文献

一个基于互联网的核医学教学文档。

An Internet-based nuclear medicine teaching file.

作者信息

Wallis J W, Miller M M, Miller T R, Vreeland T H

机构信息

Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA.

出版信息

J Nucl Med. 1995 Aug;36(8):1520-7.

PMID:7629601
Abstract

UNLABELLED

Teaching file cases play an important role in the training of nuclear medicine residents; however, film-based teaching files have limitations, such as difficulty in accessing cases in a department with several remote clinical sites. The goal of this project was to develop a digital teaching file with the capability for local and remote (Internet) network access, with the additional requirements that viewing existing cases and addition of new cases be easy and simple.

METHODS

The teaching file software (TF-Web) utilizes applications developed for the World-Wide-Web in combination with locally developed programs for importing images, entering case information, indexing, searching, case selection and case editing. The time required to add cases to the TF-Web and to access existing cases from local and remote network sites as well as computer storage requirements were assessed.

RESULTS

Cases entered in TF-Web may be viewed either with or without diagnoses and may be accessed with acceptable speed (2-14 sec) from both local and remote network sites. A relatively complex case required 1.2 megabytes of storage, with lesser storage requirements for simpler cases.

CONCLUSION

A digital teaching file has been developed that allows easy access from computers located both locally and elsewhere on the Internet. Digital storage requirements are reasonable, and, because of the unique nature of TF-Web, case storage may be distributed among multiple institutions.

摘要

未标注

教学病例档案在核医学住院医师培训中发挥着重要作用;然而,基于胶片的教学病例档案存在局限性,例如在拥有多个远程临床站点的科室中难以获取病例。本项目的目标是开发一种数字教学病例档案,具备本地和远程(互联网)网络访问能力,另外要求查看现有病例和添加新病例简便易行。

方法

教学病例档案软件(TF-Web)利用为万维网开发的应用程序,结合本地开发的用于导入图像、输入病例信息、索引、搜索、病例选择和病例编辑的程序。评估了将病例添加到TF-Web以及从本地和远程网络站点访问现有病例所需的时间以及计算机存储要求。

结果

TF-Web中输入的病例可以带或不带诊断信息进行查看,并且可以从本地和远程网络站点以可接受的速度(2 - 14秒)进行访问。一个相对复杂的病例需要1.2兆字节的存储空间,较简单的病例存储要求较低。

结论

已开发出一种数字教学病例档案,可从本地和互联网上其他地方的计算机轻松访问。数字存储要求合理,并且由于TF-Web的独特性质,病例存储可以分布在多个机构之间。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验