This comprehensive review explores the transformative impact of Information Technology (IT) on precision medicine and genomics, highlighting the pivotal role of bioinformatics, data mining, machine learning, and blockchain technologies. The paper outlines how these IT-enabled approaches facilitate the analysis, interpretation, and application of vast genomic data sets, enhancing disease prediction, diagnosis, and treatment at an individual level. Despite the promising advancements, significant challenges such as data complexity, interoperability, ethical considerations, and the digital divide are addressed, underscoring the need for multidisciplinary collaboration and innovation. The review concludes by emphasizing the potential of emerging technologies and patient-centered care in realizing the vision of precision medicine, which promises improved healthcare outcomes through personalized treatment strategies.This comprehensive review explores the transformative impact of Information Technology (IT) on precision medicine and genomics, highlighting the pivotal role of bioinformatics, data mining, machine learning, and blockchain technologies. The paper outlines how these IT-enabled approaches facilitate the analysis, interpretation, and application of vast genomic data sets, enhancing disease prediction, diagnosis, and treatment at an individual level. Despite the promising advancements, significant challenges such as data complexity, interoperability, ethical considerations, and the digital divide are addressed, underscoring the need for multidisciplinary collaboration and innovation. The review concludes by emphasizing the potential of emerging technologies and patient-centered care in realizing the vision of precision medicine, which promises improved healthcare outcomes through personalized treatment strategies.