From data to diagnosis: harnessing personal genomics for precision healthcare

Purpose: The rapid evolution of next-generation sequencing (NGS) technologies has significantly reduced the cost of genome sequencing, leading to the integration of genomics across the continuum of healthcare—from preconception to adulthood. This paper aims to explore the role of personalized medicine in clinical care, with a focus on the challenges and opportunities associated with storing, analyzing, and interpreting genomic data. The central question addressed is how community-driven data sharing, education, and health information management (HIM) can enhance the effective application of genomics in patient care. Methods: A narrative review approach was adopted, synthesizing current literature on advancements in genomic technologies, healthcare integration, and policy development. Emphasis was placed on community initiatives, professional training, and the role of HIM professionals in managing personal genomics information. Results: Findings highlight that community-driven data sharing facilitates greater access to genomic resources, overcoming barriers in clinical research and practice. Collaborative efforts in education, software development, policy, and research enhance the reliability of genomic applications. Training healthcare professionals in genomic data analysis tools improves clinical decision-making, while HIM professionals play a pivotal role in guiding the public and ensuring ethical data management. Conclusions: Personalized medicine, driven by genomics, has the potential to transform patient care by providing tailored treatment strategies. Success depends on interdisciplinary collaboration, comprehensive education, and robust policies. Preparing clinicians and HIM professionals with genomic literacy will be essential to maximize the benefits of personalized healthcare.