Statistics and healthcare option 2 – 200 words
Statistical analyses have had a significant impact on how we live our lives in many ways. One example of this can be seen in the use of predictive analytics to identify, monitor and treat disease. Predictive analytics are used to analyze vast amounts of health data from sources such as electronic health records, lab results and patient demographics. This analysis is then used to predict which individuals may be at risk for certain diseases or medical conditions and provide targeted preventative care. This has been especially beneficial in identifying patients who are more likely to suffer from chronic illnesses such as diabetes or heart disease so that intervention can occur earlier, allowing for better outcomes. It has also allowed healthcare providers to better understand their patient’s needs based on their individual risk profile, personalizing treatments accordingly. This type of analysis is being increasingly used not only by healthcare providers but also insurance companies as they look for ways to reduce costs while optimizing outcomes. With the ever increasing amount of health data becoming available through various technologies like wearables, it is expected that predictive analytics will only become more accurate and effective at managing chronic illnesses over time making it an invaluable tool for both physicians and patients alike.