Background: Precision public health is an innovative approach that integrates genomic and biological data to tailor public health interventions to specific population subgroups. This method contrasts with traditional one-size-fits-all strategies, aiming to enhance the effectiveness of interventions and improve health outcomes. As genomic technologies become more accessible, there is growing interest in their application within public health settings. Aim: This study aims to evaluate the impact of leveraging genomic and biological data on customized health interventions and their effectiveness in a general outpatient department (OPD) setting. Methods: A cross-sectional study was conducted. A total of 500 participants were randomly selected from the OPD patient population. Data were collected from electronic health records, patient surveys, and genomic data. Statistical analysis was performed using SPSS version 23.0, with Chi-square tests, t-tests, ANOVA, and multivariate regression analyses to assess the association between genomic markers and health outcomes. Results: Participants with genomic risk markers showed significantly improved health outcomes compared to those without such markers (60% vs. 50%, p = 0.01). Age was also identified as a significant predictor, with younger participants more likely to experience better outcomes. The regression model explained 25% of the variance in health outcomes, highlighting the importance of genomic data in tailoring interventions. Conclusion: The study demonstrates the potential of integrating genomic data into public health strategies to enhance the effectiveness of interventions, particularly for individuals with genetic predispositions. The findings support the need for broader implementation of precision public health approaches to improve population health outcomes. Recommendations: Future research should explore the long-term impacts of genomic-driven interventions and address the ethical and logistical challenges of integrating precision public health into routine care.

Background: Precision public health is an innovative approach that integrates genomic and biological data to tailor public health interventions to specific population subgroups. This method contrasts with traditional one-size-fits-all strategies, aiming to enhance the effectiveness of interventions and improve health outcomes. As genomic technologies become more accessible, there is growing interest in their application within public health settings. Aim: This study aims to evaluate the impact of leveraging genomic and biological data on customized health interventions and their effectiveness in a general outpatient department (OPD) setting. Methods: A cross-sectional study was conducted. A total of 500 participants were randomly selected from the OPD patient population. Data were collected from electronic health records, patient surveys, and genomic data. Statistical analysis was performed using SPSS version 23.0, with Chi-square tests, t-tests, ANOVA, and multivariate regression analyses to assess the association between genomic markers and health outcomes. Results: Participants with genomic risk markers showed significantly improved health outcomes compared to those without such markers (60% vs. 50%, p = 0.01). Age was also identified as a significant predictor, with younger participants more likely to experience better outcomes. The regression model explained 25% of the variance in health outcomes, highlighting the importance of genomic data in tailoring interventions. Conclusion: The study demonstrates the potential of integrating genomic data into public health strategies to enhance the effectiveness of interventions, particularly for individuals with genetic predispositions. The findings support the need for broader implementation of precision public health approaches to improve population health outcomes. Recommendations: Future research should explore the long-term impacts of genomic-driven interventions and address the ethical and logistical challenges of integrating precision public health into routine care.