Dr.Duaa Jawhar2024
Introduction: Artificial intelligence (AI) is the capability of any system to simulate human intelligence by showing the ability to sense, reason, engage, and learn. Artificial intelligence techniques include knowledge-based system, machine learning and deep learning.The antimicrobial stewardship program (ASP) is defined as a healthcare system-wide approach to promote and monitor the judicious use of antimicrobials to preserve their future effectiveness. Research Question or Hypothesis: Can the AI-ASP module improve ASP practice? Study Design: Observational before and after study Methods: Team members from the Emirates Health Service (EHS) central pharmacy department, EHS central ASP team, Saqr Hospital, Alkuwait Hospital, Alqassimi Hospital, Alqassimi Women and Children Hospital, Data & statistics Department (D&S) and Cerner-millennium participated in developing the algorithm for Pharmacy clinical surveillance (PCS) module which include features support ASP.The module was developed using a Kowledge-based learning approach and consists of a dashboard accessible by ASP-Clinical Pharmacists (ASP-CP) that pool out and classify patients who meet the designed algorithm's criteria. Setting: Saqr hospital was selected among the four pilot hospitals to test and validate the module.Ethical consideration: PCS project was approved by EHS higher management and D&S. Results: Number of patients reviewed by ASP-CP increased by 20.37% from 1885 patients (March-August 2022) to 2269 patients (March-August 2023) and number of Audit-Feedback Intervention increased by 50.97% from 461 interventions (March-August 2022) to 696 interventions (March-August 2023) after utilizing the module. Conclusion: The module helps in time management and targeting efforts of the ASP team by guiding them to review patients with a higher opportunity for ASP intervention. Proper time management leads to providing ASP service to a broader scope of patients.