数据表1：高容量先天性心脏病儿科手术中心容量优化的蒙特卡洛模拟方法

数据集获取（Figshare）

• 源站标题：Data_Sheet_1_A Monte Carlo Simulation Approach to Optimizing Capacity in a High-Volume Congenital Heart Pediatric Surgical Center.docx
• DOI：10.3389/frhs.2021.787358.s001
• 发布日期：2022-02-10
• 文件数：1 个
• 文件总体积：599.23 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_A_Monte_Carlo_Simulation_Approach_to_Optimizing_Capacity_in_a_High-Volume_Congenital_Heart_Pediatric_Surgical_Center_docx/19153745

命令行下载

curl -L -o "Data_Sheet_1_A Monte Carlo Simulation Approach to Optimizing Capacity in a High-Volume Congenital Heart Pediatric Surgical Center.docx" "https://ndownloader.figshare.com/files/34028366"

文件清单

• Data_Sheet_1_A Monte Carlo Simulation Approach to Optimizing Capacity in a High-Volume Congenital Heart Pediatric Surgical Center.docx（599.23 KB）

文件总体积 599.23 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

ImportanceElective surgeries are primarily scheduled according to surgeon availability with less consideration of patients’’ postoperative cardiac intensive care unit (CICU) length of stay. Furthermore, the CICU census can exhibit a high rate of variation in which the CICU is operating at over-capacity, resulting in admission delays and cancellations; or under-capacity, resulting in underutilized labor and overhead expenditures.
ObjectiveTo identify strategies to reduce variation in CICU occupancy levels and avoid late patient surgery cancellation.
DesignMonte Carlo simulation study of the daily and weekly CICU census at Boston Children’‘s Hospital Heart Center. Data on all surgical admissions to and discharges from the CICU at Boston Children’'s Hospital between September 1, 2009 and November 2019 were included to obtain the distribution of length of stay for the simulation study. The available data allows us to model realistic length of stay samples that include short and extended lengths of stay.
Main OutcomesAnnual number of patient surgical cancellations and change in average daily census.
ResultsWe demonstrate that the models of strategic scheduling would result in up to 57% reduction in patient surgical cancellations, increase the historically low Monday census and decrease the historically higher late-mid-week (Wednesday and Thursday) censuses in our center.
Conclusions and RelevanceUse of strategic scheduling may improve surgical capacity and reduce the number of annual cancellations. The reduction of peaks and valleys in the weekly census corresponds to a reduction of underutilization and overutilization of the system.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/frhs.2021.787358.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_A_Monte_Carlo_Simulation_Approach_to_Optimizing_Capacity_in_a_High-Volume_Congenital_Heart_Pediatric_Surgical_Center_docx/19153745）。