实施导管护理包所需资源
基于ICU安全研究文献总结的导管护理包实施资源清单数据集。

基本信息
资源简介
实施导管护理包所需资源
【数据集背景】
本数据集源站标题为《Resources potentially required to implement a catheter care bundle.》。配套论文《Cost-Effectiveness of a Central Venous Catheter Care Bundle》发表于 PLoS ONE(2010),DOI:10.1371/journal.pone.0012815。源站首次发布:2013-02-20。
【数据内容】
源站原始描述:*Keystone funded to $15 million to undertake multiple projects not just a catheter care bundle. Resources were identified based on the following publications: Pronovost PJ, Berenholtz S, Dorman T, Lipsett PA, Simmonds T, Haraden C: Improving communication in the ICU using daily goals. J Crit Care 2003, 18:71–75. Pronovost PJ, Weast B, Bishop K, Paine L, Griffith R, Rosenstein B, Kidwell RP, Haller KB, Davis R: Senior executive adopt-a-work unit: a model for safety improvement. Jt Comm J Qual Pat…
【数据结构与技术规格】
文件数 1 个,合计 9.73 KB。Table_2.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0012815.t002。
【主题与分类】
源站学科分类:Medicine、Computational Biology、Virology。主题标签:catheter。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/_Resources_potentially_required_to_implement_a_catheter_care_bundle_/500163
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:A. Halton, Kate; Cook, David; Paterson, David L.; Safdar, Nasia; Graves, Nicholas (2015). Resources potentially required to implement a catheter care bundle.. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Resources potentially required to implement a catheter care bundle.
- DOI:10.1371/journal.pone.0012815.t002
- 发布日期:2013-02-20
- 文件数:1 个
- 文件总体积:9.73 KB
- 源站页面:https://plos.figshare.com/articles/dataset/_Resources_potentially_required_to_implement_a_catheter_care_bundle_/500163
命令行下载
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/829797"
文件清单
Table_2.xls(9.73 KB)
文件总体积 9.73 KB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
*Keystone funded to $15 million to undertake multiple projects not just a catheter care bundle.
Resources were identified based on the following publications:
Pronovost PJ, Berenholtz S, Dorman T, Lipsett PA, Simmonds T, Haraden C: Improving communication in the ICU using daily goals. J Crit Care 2003, 18:71–75.
Pronovost PJ, Weast B, Bishop K, Paine L, Griffith R, Rosenstein B, Kidwell RP, Haller KB, Davis R: Senior executive adopt-a-work unit: a model for safety improvement. Jt Comm J Qual Patient Saf 2004, 30:59–68.
Pronovost PJ, Goeschel C: Improving ICU care: it takes a team. Healthc Exec 2005, 20:15–22.
Pronovost PJ, Weast B, Rosenstein B, Sexton B, Holzmueller CG, Paine L, Davis R, Rubin HR: Implementing and validating a comprehensive unit-based safety program. Journal of Patient Safety 2005, 1:33–40.
Pronovost PJ, Needham DM, Berenholtz S, Sinopoli D, Chu H, Cosgrove SE, Sexton B, Hyzy R, Welsh R, Roth G, Bander J, Kepros J, Goeschel C: An intervention to decrease catheter-related bloodstream infections in the ICU. N Engl J Med 2006, 355:2725–2732.
Berenholtz SM, Pronovost PJ, Lipsett PA, Hobson D, Earsing K, Farley JE, Milanovich S, Garrett-Mayer E, Winters BD, Rubin HR, Dorman T, Perl TM: Eliminating catheter-related bloodstream infections in the intensive care unit. Crit Care Med 2004, 32:2014–2020.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0012815.t002(source: https://plos.figshare.com/articles/dataset/_Resources_potentially_required_to_implement_a_catheter_care_bundle_/500163)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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