Center for Health Facilities Design and Testing, School of Architecture, Clemson University, Clemson, SC, USA.
Department of Industrial Engineering, Clemson University, Clemson, SC, USA.
HERD. 2022 Jul;15(3):13-27. doi: 10.1177/19375867221089271. Epub 2022 Apr 11.
To describe the planning, development, and implementation of a structured video-based observational method that can be used to systematically examine and model the role of the physical environment within healthcare systems.
Direct observation methods are often used in healthcare to study complex healthcare systems. However, these observations often occur in real time, which predisposes the collected data to shortcomings such as time lags in recording of activities, overlooking events, or limiting the scope of information than can be collected. Video observation approaches eliminate many of these challenges and provide opportunities for researchers to understand and model the role of the physical environment.
An approach to developing and implementing a structured video-based observational method to study and model complex health systems is presented.
A structured observational approach can be highly effective for collecting multiple layers of data necessary for understanding interactions between the physical environment and other systems components in healthcare settings. The proposed video-based observation method is effective in settings that have clearly defined environmental boundaries, limited number of people, are complex and fast-paced such as the OR, ED trauma rooms, and ICU rooms.
Video-based observation is an effective complement to the traditional observational method for in-depth study of the built environment in health systems, enabling researchers to employ quantitative approaches to data collection and analysis, in addition to qualitative interpretations.
描述一种基于结构化视频的观察方法的规划、开发和实施，该方法可用于系统地检查和模拟医疗系统内物理环境的作用。
直接观察方法常用于医疗保健领域以研究复杂的医疗保健系统。然而，这些观察通常是实时进行的，这使得所收集的数据容易出现活动记录的时间滞后、忽略事件或限制可收集信息的范围等缺陷。视频观察方法消除了许多这些挑战，并为研究人员提供了理解和模拟物理环境作用的机会。
介绍了一种开发和实施基于结构化视频的观察方法来研究和模拟复杂健康系统的方法。
结构化观察方法对于收集理解医疗环境中物理环境与其他系统组件之间相互作用所需的多个层次的数据非常有效。所提出的基于视频的观察方法在环境边界明确、人数有限、复杂且快节奏的环境（如手术室、急诊创伤室和 ICU 病房）中非常有效。
基于视频的观察是对健康系统中建筑环境进行深入研究的传统观察方法的有效补充，使研究人员能够采用定量方法进行数据收集和分析，以及进行定性解释。
