急性卒中治疗过程优化数据集

数据集获取（Figshare）

• 源站标题：Data_Sheet_1_Optimizing acute stroke treatment process: insights from sub-tasks durations in a prospective observational time and motion study.docx
• DOI：10.3389/fneur.2023.1253065.s001
• 发布日期：2023-10-27
• 文件数：1 个
• 文件总体积：65.07 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Optimizing_acute_stroke_treatment_process_insights_from_sub-tasks_durations_in_a_prospective_observational_time_and_motion_study_docx/24448330

命令行下载

curl -L -o "Data_Sheet_1_Optimizing acute stroke treatment process: insights from sub-tasks durations in a prospective observational time and motion study.docx" "https://ndownloader.figshare.com/files/42925201"

文件清单

• Data_Sheet_1_Optimizing acute stroke treatment process: insights from sub-tasks durations in a prospective observational time and motion study.docx（65.07 KB）

文件总体积 65.07 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

BackgroundRapid treatment is critical in managing acute ischemic stroke (AIS) to improve patient outcomes. Various strategies have been used to optimize this treatment process, including the Acute Stroke Protocol (ASP) activation, and minimizing the duration of key performance metrices, such as door-to-needle time (DNT), CT-to-needle time (CTNT), CT-to-groin puncture time (CTGP), and door-to-groin puncture time (DGPT). However, identifying the delay-causing sub-tasks within the ASP could yield novel insights, facilitating optimization strategies for the AIS treatment process.
MethodsThis two-phase prospective observational time and motion study aimed to identify sub-tasks and compare their respective durations involved in the treatment process for AIS patients within ASPs. The study compared sub-task durations between “routine working hours” and “evenings and weekends” (after-hours), as well as between stroke neurologists and non-stroke neurologists. Additionally, the established performance metrices of AIS were compared among the aforementioned groups.
ResultsPhase 1 identified and categorized 34 sub-tasks into five broad categories, while Phase 2 analyzed the ASP for 389 patients. Among the 185 patients included in the study, 57 received revascularization treatment, with 30 receiving intravenous (IV) thrombolysis only, 20 receiving endovascular thrombectomy (EVT) only, and 7 receiving both IV thrombolysis and EVT. Significant delays were observed in sub-tasks including triage, registration, patient history sharing, treatment decisions, preparation of patients, preparation of thrombolytic agents, and angiosuite preparation. The majority of these significant delays (P The study identified several sub-tasks that lead to significant delays during the execution of the ASP. These findings provide a premise to design targeted quality improvement interventions to optimize the ASP for these specific delay-causing sub-tasks, particularly for non-stroke neurologists and after-hours. This approach has the potential to significantly enhance the efficiency of the AIS treatment process.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2023.1253065.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Optimizing_acute_stroke_treatment_process_insights_from_sub-tasks_durations_in_a_prospective_observational_time_and_motion_study_docx/24448330）。