STRENGTHENING THE ROADMAP OF ANTIMICROBIAL STEWARDSHIP/ EVOLUTION OF ARTIFICIAL INTELLIGENCE

Abstract

Systematic approaches to improving the use of antimicrobials across the spectrum of healthcare are referred to as antimicrobial stewardship. Most studies of antimicrobial stewardship program strategies have addressed the mandated use of antimicrobials, the cost of antimicrobials, and rates of antimicrobial resistance. However, many of these studies have been insufficiently powered to detect differences between groups in clinical cure rates, length of hospital stay, and mortality rates; often there was frequently been no difference between the antimicrobial stewardship group and the control groups (2). While questioning the implementation of these strategies; each government regulates institutions to track and also report stewardship metrics. Instutions uses the data analysis programs include all antimicrobial sensitivity tests confirmed and completed in the laboratory(1). It should provide the ability to obtain test results along with the requirements listed below. Preferably, the system should be able to display the sample results even if antimicrobial testing of the detected microorganisms (if any) has not been performed (3). For identification of specimens sent to laboratories for

Keywords

• antimicrobial resistance
• antimicrobial stewardship
• artificial intelligece

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