Knowledge Integration

In healthcare, knowledge integration involves drawing upon and synthesizing client data to inform diagnostic reasoning and clinical decision-making. Healthcare providers are continually evaluating whether vital sign measurements are normal or abnormal. The analysis takes into consideration the client’s baseline vital sign measurements as well as the client’s age and health and illness state. Additionally, healthcare providers pay attention to trending, which involves looking at vital signs across time to detect changes. If abnormalities are identified, healthcare providers consider the client context including other subjective and objective data to differentiate relevant from irrelevant data. The analysis of client data influences evidence-informed clinical decision-making in which healthcare providers identify priority actions and treatment options.

This chapter presents six case studies based on what you learned in this chapter. The case studies are intended to provide an opportunity for you to critically think about client data in the context of a client situation. You will integrate your knowledge about normal and abnormal vital signs and engage in diagnostic reasoning to determine priority actions and next steps based on the client data.

Case Study: Pediatric Client – coming soon!

Case Study: Adolescent Client – coming soon!

Case Study: Pregnant Adult Client – coming soon!

Case Study: Adult Client – coming soon!

Case Study: Older Adult Client – coming soon!

Case Study: Temperature, Pulse & Respiration – coming soon!