Affiliation:
1. Clemson University, USA
2. Islamic Azad University of Mashhad, Iran
Abstract
Recent math developments, especially statistical modeling, profoundly impact healthcare. Firstly, statistical modeling equips healthcare professionals with advanced tools for analyzing complex healthcare datasets, improving diagnostic accuracy and treatment planning by revealing hidden insights. Secondly, it supports evidence-based decision-making by quantifying treatment effectiveness, assessing risks, and evaluating interventions. By relying on empirical evidence rather than intuition, healthcare providers can make informed decisions that optimize patient outcomes. Additionally, it empowers early identification of high-risk patients, personalizes interventions, optimizes resource allocation, and enhances healthcare efficiency. Lastly, statistical modeling aids in quality improvement by identifying areas for enhancement and monitoring performance indicators. Overall, statistical modeling transforms healthcare, enhancing patient care, resource allocation, and decision-making, paving the way for a data-driven future in medicine.
Cited by
1 articles.
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