学术物理治疗方面的卓越:促进数据共享文化
Sara E North1,2,3,4,5,6,7, Ken Kosior1,2,3,4,5,6,7, Peter Altenburger1,2,3,4,5,6,7
1Sara E. North is the director of educational innovation and evaluation in the Division of Physical Therapy-Medical School at the University of Minnesota, 420 Delaware St NE, Minneapolis, MN 55455 ( snorth@umn.edu ). Please address all correspondence to Sara E. North.
Journal, physical therapy education
|March 13, 2024
概括
数据分析对于推进物理治疗 (PT) 学术卓越至关重要. 集中数据和评估可以推动PT教育计划的显著改进.
科学领域:
- 健康 专业 教育 卫生 专业 教育
- 数据科学在学术界的数据科学
- 物理治疗方案评价 物理治疗方案评价
背景情况:
- 数据分析对于识别趋势和推动卫生专业教育变革至关重要.
- 目前数据的局限性阻碍了物理治疗 (PT) 学术卓越的评估.
- 美国学术物理治疗委员会 (ACAPT) 需要数据知情的方法来应对物理治疗博士课程的挑战.
研究的目的:
- 探索当前和所需的数据,以评估学术PT的课程成果.
- 为ACAPT确定技术,需求和成本,以评估计划的卓越性.
- 制定一个框架,促进数据利用在PT教育.
主要方法:
- 召集了一个特别工作组,调查数据和技术,以评估计划成果.
- 对现有的学术卓越指标进行了差距分析.
- 制定了基于证据的建议和评估卓越地图.
主要成果:
- 在评估PT学术卓越的当前数据中发现了差距.
- 为提升学术PT中的数据和技术系统提出了建议.
- 创建了一个全面的评估卓越地图,导致一个精简的卓越框架和ACAPT卓越中心.
结论:
- 将共同数据集中起来对于评估PT教育的卓越水平至关重要.
- 利用数据分析可以改变PT的学术努力.
- 建立数据共享和评估的文化将提高程序层面和职业层面的卓越.
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