The primary concern with data overload is the risk of missing critical information due to the sheer volume of data. This can lead to inaccurate diagnoses and research outcomes. Additionally, the time and resources required to process and analyze large datasets can be substantial, potentially delaying necessary medical interventions and slowing down scientific advancements.
