肝移植评估与登记过程中的质量管理指标数据集
本数据集记录了肝移植患者评估登记过程的质量指标,包含1311次就诊的人口学与四个核心效率指标,用于护理管理与质量改进。

基本信息
资源简介
肝移植评估与登记过程中的质量管理指标数据集
【数据集背景】
本数据集源站标题为《Assessment and enrolment process for liver transplantation: nursing management through quality indicators》。配套论文《Assessment and enrolment process for liver transplantation: nursing management through quality indicators》发表于 Einstein (São Paulo)(2018),DOI:10.1590/s1679-45082018ao3975。源站首次发布:2018-04-25。
【数据内容】
源站原始描述:ABSTRACT Objective To establish, measure and analyze quality indicators in the evaluation and enrolment process of patients in a liver transplant program. Methods A quantitative and non-experimental research, with data collected from the database of a liver transplant program, from September 2012 to September 2014. Descriptive statistics were used to analyze the quality indicators identified. Results We analyzed 1,311 visits in the transplant outpatient clinic, most males (66.7%), white (65.1%),…
【数据结构与技术规格】
文件数 4 个,合计 134.08 KB。数据集 DOI:10.6084/m9.figshare.6179633.v1。
【主题与分类】
源站学科分类:Medicine。主题标签:Liver transplantation、Quality indicators、health care、Quality of health care、Disease management、Patient selection。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://scielo.figshare.com/articles/dataset/Assessment_and_enrolment_process_for_liver_transplantation_nursing_management_through_quality_indicators/6179633
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Dias, Fabíola Faustino de Machado; Almeida, Samira Scalso de; de Almeida, Marcio Dias (2018). Assessment and enrolment process for liver transplantation: nursing management through quality indicators. SciELO journals. 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:Assessment and enrolment process for liver transplantation: nursing management through quality indicators
- DOI:10.6084/m9.figshare.6179633.v1
- 发布日期:2018-04-25
- 文件数:4 个
- 文件总体积:134.08 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Assessment_and_enrolment_process_for_liver_transplantation_nursing_management_through_quality_indicators/6179633
命令行下载
curl -L -o "1679-4508-eins-16-01-eAO3975-gf01.jpg" "https://ndownloader.figshare.com/files/11191241"
curl -L -o "1679-4508-eins-16-01-eAO3975-gf02.jpg" "https://ndownloader.figshare.com/files/11191253"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/11191259"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/11191274"
文件清单
1679-4508-eins-16-01-eAO3975-gf01.jpg(47.44 KB)1679-4508-eins-16-01-eAO3975-gf02.jpg(75.37 KB)Table_1.xls(5.63 KB)Table_2.xls(5.63 KB)
文件总体积 134.08 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
ABSTRACT Objective To establish, measure and analyze quality indicators in the evaluation and enrolment process of patients in a liver transplant program. Methods A quantitative and non-experimental research, with data collected from the database of a liver transplant program, from September 2012 to September 2014. Descriptive statistics were used to analyze the quality indicators identified. Results We analyzed 1,311 visits in the transplant outpatient clinic, most males (66.7%), white (65.1%), mean age of 53 (±12.5) years, from the Southeastern Region (91.2%), and from the State of São Paulo (80.8%). The indicators measured were efficiency of patient admission process (54.8%), efficiency of evaluation of transplant indication (39.9%), efficacy of treatment of patients seen in the program (21.8%), and waiting time to inclusion in the waiting list, median of 84 days (36-142). Conclusion The quality indicators analyzed in this study enabled a quantitative view of the process, facilitating management of results and benchmarking with other transplant centers. Continuous monitoring can optimize resource allocation and planning of services in patient’'s admission process.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.6179633.v1(source: https://scielo.figshare.com/articles/dataset/Assessment_and_enrolment_process_for_liver_transplantation_nursing_management_through_quality_indicators/6179633)。
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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