DataSheet_2_垂体手术患者路径过程分析文档

数据集获取（Figshare）

• 源站标题：DataSheet_2_Process analysis of the patient pathway for automated data collection: an exemplar using pituitary surgery.docx
• DOI：10.3389/fendo.2023.1188870.s002
• 发布日期：2024-01-12
• 文件数：1 个
• 文件总体积：9.36 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet_2_Process_analysis_of_the_patient_pathway_for_automated_data_collection_an_exemplar_using_pituitary_surgery_docx/24987585

命令行下载

curl -L -o "DataSheet_2_Process analysis of the patient pathway for automated data collection: an exemplar using pituitary surgery.docx" "https://ndownloader.figshare.com/files/44011500"

文件清单

• DataSheet_2_Process analysis of the patient pathway for automated data collection: an exemplar using pituitary surgery.docx（9.36 KB）

文件总体积 9.36 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

IntroductionAutomation of routine clinical data shows promise in relieving health systems of the burden associated with manual data collection. Identifying consistent points of documentation in the electronic health record (EHR) provides salient targets to improve data entry quality. Using our pituitary surgery service as an exemplar, we aimed to demonstrate how process mapping can be used to identify reliable areas of documentation in the patient pathway to target structured data entry interventions.
Materials and methodsThis mixed methods study was conducted in the largest pituitary centre in the UK. Purposive snowball sampling identified frontline stakeholders for process mapping to produce a patient pathway. The final patient pathway was subsequently validated against a real-world dataset of 50 patients who underwent surgery for pituitary adenoma. Events were categorized by frequency and mapped to the patient pathway to determine critical data points.
ResultsEighteen stakeholders encompassing all members of the multidisciplinary team (MDT) were consulted for process mapping. The commonest events recorded were neurosurgical ward round entries (N = 212, 14.7%), pituitary clinical nurse specialist (CNS) ward round entries (N = 88, 6.12%) and pituitary MDT treatment decisions (N = 88, 6.12%) representing critical data points. Operation notes and neurosurgical ward round entries were present for every patient. 43/44 (97.7%) had a pre-operative pituitary MDT entry, pre-operative clinic letter, a post-operative clinic letter, an admission clerking entry, a discharge summary, and a post-operative histopathology pituitary multidisciplinary (MDT) team entries.
ConclusionThis is the first study to produce a validated patient pathway of patients undergoing pituitary surgery, serving as a comparison to optimise this patient pathway. We have identified salient targets for structured data entry interventions, including mandatory datapoints seen in every admission and have also identified areas to improve documentation adherence, both of which support movement towards automation.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fendo.2023.1188870.s002（source: https://frontiersin.figshare.com/articles/dataset/DataSheet_2_Process_analysis_of_the_patient_pathway_for_automated_data_collection_an_exemplar_using_pituitary_surgery_docx/24987585）。