👉 Clinical mathematics, often referred to as health informatics or clinical analytics, involves the application of mathematical and statistical methods to healthcare data to improve patient outcomes, operational efficiency, and overall healthcare delivery. Clinicians and healthcare professionals use these methods to analyze large datasets from electronic health records (EHRs), medical imaging, and other sources to identify trends, predict patient risks, optimize treatment plans, and measure the effectiveness of interventions. Techniques such as regression analysis, machine learning, and statistical modeling help in understanding complex relationships within the data, enabling evidence-based decision-making. This field bridges the gap between raw clinical data and actionable insights, ultimately aiming to enhance the quality of care and streamline healthcare processes.
