清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

AVATAR®: an electronic evidence-based medicine friendly tool for vascular access planning

医学 医疗急救 决策辅助工具 医疗保健 计算机科学 重症监护医学 替代医学 经济增长 病理 经济
作者
Vincenzo Faraone,Pasquale Aprea,Timothy R. Spencer
出处
期刊:Minerva Medica [Edizioni Minerva Medica]
卷期号:109 (4) 被引量:1
标识
DOI:10.23736/s0026-4806.18.05659-8
摘要

In today's demanding healthcare setting, many patients who are referred to hospital for treatment require some form of intravascular access device to administer required therapies and medications. It is estimated that most of admissions have an intravascular device placed on arrival to any given facility. Often these treatment prerequisites, combined with a wide range of available devices, based upon a combination of patient assessments, necessitated treatment regimens, and the use of a decision algorithm to choose the most appropriate device that provides all the patient's needs, requires a logical and methodical approach during the decision-making process. Several criteria should always remain in high regard for patient and device considerations, such as overall need for a device, the type of drugs or medications being infused, duration of therapy, patient disease states and comorbidities, as well as vessel health, patient age, previous intravascular device history, patient preference, potential site(s) of implantation, and finally, the resources available for ongoing device management. We have developed a tool, called AVATAR, aimed to make easier the implementation of a vascular access planning. It is a newly-designed tool, developed for the clinicians that must decide which type of venous access device is the ideal one in each single patient. It utilizes existing information that may not necessarily be only used by experts, but mainly by any clinician who may be looking for assistance in determining patient requirements. It requires clinical knowledge and it is not designed to be used for determining vascular access choices in emergency situations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
18秒前
朱洪帆发布了新的文献求助10
22秒前
西瓜皮先生完成签到 ,获得积分10
26秒前
外向又夏应助传统的惜灵采纳,获得10
29秒前
Ray完成签到 ,获得积分10
32秒前
36秒前
39秒前
一念春风发布了新的文献求助10
40秒前
Janus完成签到 ,获得积分10
43秒前
52秒前
朱洪帆发布了新的文献求助10
57秒前
兜有米完成签到 ,获得积分10
57秒前
DR_MING发布了新的文献求助10
1分钟前
思源应助一念春风采纳,获得10
1分钟前
科研通AI6.4应助DR_MING采纳,获得10
1分钟前
1分钟前
Kevin完成签到,获得积分10
1分钟前
孙畅完成签到 ,获得积分10
1分钟前
Lily完成签到 ,获得积分10
1分钟前
xiaoze完成签到 ,获得积分10
1分钟前
Yuan应助朱洪帆采纳,获得10
1分钟前
huiluowork完成签到 ,获得积分10
1分钟前
qianci2009完成签到,获得积分10
1分钟前
咪唑完成签到 ,获得积分10
1分钟前
4466完成签到,获得积分10
1分钟前
Orange应助student采纳,获得10
1分钟前
loen完成签到,获得积分10
1分钟前
MM完成签到 ,获得积分10
1分钟前
动人的又菡完成签到,获得积分10
1分钟前
Lucky完成签到 ,获得积分10
1分钟前
2分钟前
yyyyy发布了新的文献求助10
2分钟前
机智的孤兰完成签到 ,获得积分10
2分钟前
2分钟前
通子石大便完成签到 ,获得积分20
2分钟前
飞快的孱完成签到,获得积分10
2分钟前
student发布了新的文献求助10
2分钟前
wugang完成签到 ,获得积分10
2分钟前
T豆发布了新的文献求助10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Autoparametric Resonance in Mechanical Systems 1000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7662304
求助须知:如何正确求助?哪些是违规求助? 9232268
关于积分的说明 19855255
捐赠科研通 7230614
什么是DOI,文献DOI怎么找? 3282155
关于科研通互助平台的介绍 2441673
邀请新用户注册赠送积分活动 2283002