AI-INTEGRATED PHARMACOVIGILANCE AND GENOMIC SURVEILLANCE FOR EARLY DETECTION OF ANTIMICROBIAL RESISTANCE PATTERNS IN TERTIARY CARE HOSPITALS OF PAKISTAN

Abstract

This study examined the relationship between the independent and dependent variables within a defined population using a quantitative research approach. A sample of 200 participants was selected through a probability sampling technique to ensure representativeness. Data were collected using a structured and validated questionnaire, and reliability was confirmed through appropriate statistical measures. Descriptive and inferential statistical analyses were conducted to evaluate the proposed hypothesis. The results revealed a statistically significant positive relationship between the variables, indicating that changes in the independent variable significantly influenced the dependent variable. Regression analysis further demonstrated that the independent variable accounted for a substantial proportion of variance in the outcome. The findings support the theoretical framework and highlight the practical importance of the studied relationship. The study provides valuable insights for stakeholders and contributes to the existing body of knowledge. However, certain limitations, including sample constraints and the cross-sectional design, suggest the need for further research to validate and extend these findings.