Medical decision-making is considered one of the most sensitive aspects of healthcare practice, as it has direct effects on patients’ health and safety. In this context, medical statistics plays a pivotal role in supporting medical decisions and making them more accurate and objective by relying on data and scientific evidence rather than personal experience alone. First: The Concept of Medical Statistics and Its Relationship to Medical Decision-Making Medical statistics is a branch of statistics concerned with collecting, organizing, analyzing, and interpreting medical and health-related data in order to reach accurate scientific conclusions. Modern medical decisions are closely linked to statistics, as physicians and researchers rely on statistical analysis to evaluate disease conditions and select appropriate diagnostic and therapeutic methods. Second: The Role of Medical Statistics in Medical Diagnosis Medical statistics helps improve diagnostic accuracy through the analysis of laboratory and clinical test results. For example, statistical indicators such as sensitivity, specificity, and predictive values are used to assess the efficiency of diagnostic tests. This contributes to reducing diagnostic errors, including false positives and false negatives, leading to more accurate diagnostic decisions. Third: Medical Statistics in Selecting Treatment Plans Medical statistics contributes to comparing the effectiveness of different treatments by analyzing the results of clinical trials and comparative studies. Statistical tests are used to determine whether differences between treatments are statistically significant. Accordingly, physicians can choose the most effective and safest treatment for patients. In addition, statistics helps evaluate drug side effects and determine the ratio of risks to benefits, thereby supporting balanced treatment decisions based on scientific evidence. Fourth: The Role of Medical Statistics in Evaluating Healthcare Outcomes Medical statistics is used to measure healthcare outcomes such as recovery rates, mortality rates, length of hospital stay, and patient satisfaction with healthcare services. These indicators help assess the quality of care provided and support medical and administrative decisions aimed at improving healthcare performance. In the field of nursing, statistics is used to analyze patient satisfaction data related to nursing care, which contributes to developing improvement plans and enhancing the quality of care. Fifth: Medical Statistics and Evidence-Based Medicine Evidence-Based Medicine (EBM) relies fundamentally on medical statistics, as medical decisions are built on the results of scientific studies and reliable statistical analyses. Statistics helps integrate the results of multiple studies through systematic reviews and meta-analyses, providing strong evidence that supports medical decision-making. Sixth: The Role of Medical Statistics in Reducing Bias and Errors Medical statistics contributes to reducing bias in decision-making by using objective scientific methods to analyze data. It also helps detect methodological errors and determine the accuracy of results, thereby enhancing the reliability of medical decisions and reducing reliance on intuition or individual experience alone. Conclusion In conclusion, medical statistics is an essential tool in modern medical decision-making. It contributes to improving diagnostic accuracy, selecting the most appropriate treatment, and evaluating the quality of healthcare services. Reliance on medical statistics enhances the objectivity of medical decisions and represents a fundamental pillar of evidence-based medicine, positively reflecting on patients’ health and the quality of healthcare services provided. Al-Mustaqbal University – The First University in Iraq
  الهدف الثالث من اهداف التنمية المستدامة -الصحة الجيدة والرفاه   The Third Goal of the Sustainable Development Goals – Good Health and Well-being