Skip to main content
 

 

 

TheDevelopment of Technology to Prevent,Diagnose, andManage Antimicrobial Resistance inHealthcare-Associated Infections

Author name : MOHAMMED RAWWAY KHALIL KHLAF
Publication Date : 2022-12-08
Journal Name : Vaccines

Abstract

There is a growing risk of antimicrobial resistance (AMR) having an adverse effect on the
healthcare system, which results in higher healthcare costs, failed treatments and a higher death rate.
A quick diagnostic test that can spot infections resistant to antibiotics is essential for antimicrobial
stewardship so physicians and other healthcare professionals can begin treatment as soon as possible.
Since the development of antibiotics in the last two decades, traditional, standard antimicrobial
treatments have failed to treat healthcare-associated infections (HAIs). These results have led to
the development of a variety of cutting-edge alternative methods to combat multidrug-resistant
pathogens in healthcare settings. Here, we provide an overview of AMR as well as the technologies
being developed to prevent, diagnose, and control healthcare-associated infections (HAIs). As a
result of better cleaning and hygiene practices, resistance to bacteria can be reduced, and new,
quick, and accurate instruments for diagnosing HAIs must be developed. In addition, we need to
explore new therapeutic approaches to combat diseases caused by resistant bacteria. In conclusion,
current infection control technologies will be crucial to managing multidrug-resistant infections
effectively. As a result of vaccination, antibiotic usage will decrease and new resistance mechanisms
will not develop.

Keywords

antimicrobial resistance; multidrug-resistant bacteria; rapid detection; alternative therapy; prevention

Publication Link

https:// doi.org/10.3390/vaccines10122100

Block_researches_list_suggestions

Suggestions to read

“Synthesis and Characterization study of SnO2/α-Fe2O3, In2O3/α-Fe2O3 and ZnO/α-Fe2O3 thin films and its application as transparent conducting electrode in silicon heterojunction solar cell”
Asma Arfaoui
Oral cancer stem cells: A comprehensive review of key drivers of treatment resistance and tumor recurrence
DR KALADHAR REDDY AILENI
Modeling the Social Factors Affecting Students Satisfaction with Online Learning: A Structural Equation Modeling Approach
ABDULHAMEED RAKAN ALENEZI
Higher Knee Muscles Co-Contractions are Observed in Individuals Exhibiting Loading Asymmetry Early after ACL Reconstruction. The Combined Sections Meeting
ABDULMAJEED BARAKAT MUBARAK ALFAYYADH
Contact