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Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

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通过基于云计算的技术将行为数据收集数字化,用于兽医科学及其他领域.

Michelle Braghetti¹, Liat Vichman², Nareed Farhat²

¹Clinical Anesthesiology, Department of Clinical Veterinary Science, Vetsuisse Faculty, University of Bern, Bern, Switzerland.

Frontiers in veterinary science

|July 4, 2025

概括

研究人员开发了一个无代码平台,PetsDataLab,以有效收集动物行为数据. 这使得可以创建结构化数据集,如狗疼痛数据库,推进兽医研究和开放科学.

关键词:

狗的疼痛数据库狗的疼痛数据库临床数据收集工具临床数据收集工具数字数据收集数字数据收集狗狗疼痛狗狗的疼痛狗狗的疼痛狗狗的疼痛狗狗的疼痛行为行为研究的移动应用程序.移动应用程序用于研究研究.兽医疼痛评估兽医疼痛评估

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科学领域:

兽医科学是一门兽医科学.
动物行为动物行为
数据科学是数据科学.

背景情况:

动物行为科学中的现场数据收集面临着局限性:时间,资源和临床工作流集成.
需要灵活,高效和标准化的数字解决方案,以在现实环境中捕获多式联网行为数据.

研究的目的:

介绍PetsDataLab,一个新的基于云的无代码平台,用于定制应用程序开发,用于行为数据收集.
通过创建狗疼痛数据库来证明平台的实用性,用于研究犬类疼痛指标.
评估应用程序的可用性和在兽医和行为科学中更广泛部署的潜力.

主要方法:

利用PetsDataLab开发一个定制的应用程序来收集各种类型的数据 (视频,图像,元数据).
创建了与疼痛相关疾病的狗的结构化数据集,包括临床和视频数据.
对14名兽医专业人员进行了可用性测试,使用了反问卷.

主要成果:

开发的应用程序在兽医专业人员中显示出强大的可用性和清晰度.
外部测试人员对日常诊所整合的同意程度较低,这表明潜在的采用障碍.
该平台成功实现了可扩展,标准化和临床兼容的行为数据收集.

结论:

像PetsDataLab这样的基于云的平台可以通过促进有效的数据收集来弥合研究和实践.
该方法在行为科学中广泛适用,通过结构化,可互操作的数据支持开放科学原则.
需要进一步努力,以解决日常整合到临床工作流程中的障碍.