There are several principles and concepts that can be used in measuring quality as well as assessing risk in the healthcare setting. The efforts to improve quality need to be measured to determine if the improvement efforts have resulted to any change or have contributed to intended or unintended results in different parts of the system. Some of the principles and concepts that measure quality and assess risks in a healthcare setting include facilitating adoption through hands-on improvement projects, defining quality, the measure of improvement but not accountability, use of a quality improvement framework and learning from data variation. The biggest challenge in measuring quality and assessing risks in a healthcare setting is the misunderstanding of the processes and systems that coexist with personalized care.
With regard to facilitating adoption through hands-on improvement project, exposing clinicians to ideas and case studies around quality improvement motivate them to adopt improvement initiatives. The more clinicians are exposed to ideas, the more they increase quality in the healthcare setting. The quality improvement methodology and theory are better acquired through hands-on which create a platform where an individual can measure quality in a healthcare setting.
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On the other hand, the principle that measures improvement is responsible for risk management. In this regard, improvement measure will collect actual wait time, assess the extent of the risk and create high-value data that lead to dramatic improvement that reduces the risk and further saves time and resources. However, the dynamics of the healthcare operations and the broad variety of US healthcare make the undertaking of measuring quality and assessing seem like a distant possibility. It is imperative for most healthcare stakeholders to adopt the outlined principles to help them measure as well as assess risks in the healthcare setting.
Reference
Cesario, S. K. (2016). Designing health care environments: Part I. Basic concepts, principles, and issues related to evidence-based design. The journal of continuing education in nursing , 40 (6), 280-288.