Biostatistics and Clinical Decision Making

While my video discusses the role of biostatistics at Johns Hopkins, it still was able to shed some light on the importance of the field. What it focused on was how it is used to understand what is true about a system or more specifically a type of medical condition. This can be done based on the large amounts of data that has become available through experiences with populations of patients. For example a biostatistician can sift through a messy cloud of statistics in regards to characteristics that a population of patients have and use this information to help current and future patients. From their analysis of patient population statistics, they can also deduce whether or not the findings for a large-scale population can be applied directly to an individual patient. If they find that there is not a direct correlation between population and patient, they can then deduce a relationship and adjust their findings so that they know how to apply population-based knowledge to an individual. Lastly they utilize the integration of various practices of clinical science and develop a dialogue amongst them to create ideas about what may or may not be true in regards to a system or disease and from there they are able to carry out testing to prove or disprove their hypotheses. In summary they utilize biostatistics to understand medical conditions on a large scale to better decide what to do for each patient.