Optimizing Emergency Department Triage with Priority Algorithms: A Study on Prioritizing Severe Patients for Improved Outcomes

Abstract

Emergency rooms must quickly identify and treat patients who are in severe condition while making the best possible use of their finite supply of medical supplies. The growing number of patients in emergency rooms might cause delays in triage and treatment, which could have a negative impact on patient health. In response, priority algorithms can be used to rank patients according to a variety of criteria, including the urgency of the medical situation, the severity of the sickness, and the availability of resources. This makes it possible for medical professionals to immediately recognize and prioritize patients who are in a critical state, and to allocate resources accordingly. Healthcare providers can also use automation and artificial intelligence to help with the triage process with the incorporation of robotic healthcare physicians, further optimizing patient care. In this study, the effectiveness of priority algorithms in emergency department triage will be assessed, along with how they can benefit seriously ill patients' health outcomes. The project is also investigating the advantages of including robotic medical professionals in the triage procedure. The findings of this study are assisting in the creation of emergency department triage systems that are more effective and efficient, resulting in better patient care and outcomes. The employment of priority algorithms and robotic healthcare physicians will undoubtedly increase the quality of care while making the best possible use of the available resources, which has important implications for healthcare providers, legislators, and patients alike.