Optimizing Sepsis care in the Emergency Department: Integrating Nursing, Pharmacy, and Laboratory Sciences

Main Article Content

Adel Ali Jibril Al Jibril1 Abdullah Mohsen Abdullah Shaeri2 Ibrahim Ali Mossa Bahri 3 Halaym Hussain Alamri 4 Yasir Hazzaa Hawil Alharbi 5 Maryam Abdallah Ali Alsahw 6 Ali Mohamed Abomughayedh7 Abdullah Ghanem Almutairi8 Ahmed Sulaiman Muaytiq Alotaibi9 Tariq Abdulaziz Alshehri10 Ahmed Ali Ali Mesfer Alalyani11 Salim Hassan Mohamed Sahari12

Keywords

nursing, pharmacy, laboratory, optimizing, sepsis, care, emergency, department.

Abstract

Sepsis often prompts patients to seek immediate medical attention in the emergency room and then be admitted to the hospital. Given its frequency, it is accountable for a substantial number of deaths annually. The Surviving Sepsis Campaign has improved the results of sepsis by advocating for enhanced standards of identification and treatment.


Aim of work:  To explore the role of integrating nursing, pharmacy, and laboratory in optimizing sepsis care in the emergency department.


Methods: We conducted a comprehensive search in the MEDLINE database's electronic literature using the following search terms: nursing, pharmacy, laboratory, optimizing, sepsis, care, emergency, and department. The search was restricted to publications from 2016 to 2024 in order to locate relevant content. I performed a search on Google Scholar to locate and examine academic papers that pertain to my subject matter. The selection of articles was impacted by certain criteria for inclusion.


Results: The publications analyzed in this study encompassed from 2016 to 2024. The study was structured into various sections with specific headings in the discussion section.


Conclusion: Research indicates that implementing treatments for sepsis can improve adherence to protocols and outcomes. However, determining the most beneficial interventions is challenging. A systematic and protocol-driven strategy is needed to manage sepsis patients in emergency departments. Artificial intelligence and machine learning are emerging in sepsis treatments, aiding in the detection of patients and developing appropriate treatment regimens. Future studies should employ randomized designs, incorporating process and patient outcome parameters, and have a long follow-up period. Cost-benefit evaluations are crucial, as the implementation and maintenance of these treatments require significant healthcare commitment. Treatments must demonstrate long-term viability and expand to other hospitals

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