Predictive analytics is an emerging healthcare technology where analytic models predict future trends based upon retrospective or real-time data? Predictive Analysis Discussion

Predictive Analytics is a rapidly growing healthcare technology that uses retrospective and real-time data to forecast future trends. Predictive analytics will help patients achieve better outcomes. Is predictive analytics going to play a larger role in improving patient outcomes? What would you say predictive analytics could do for your field? Discuss two ethical concerns related to predictive health analysis.
Discussion on Predictive Analytics
The use of predictive analytics to enhance patient outcomes is an innovative approach. The data and results of patients in the past may help machine learning algorithms to predict the type of treatment that is most effective for them. Predictive analytics may also be used to spot warning indications before they became serious (Mehta & Pandit, 2018). Researchers are investing in predictive analytics to combat the COVID-19 virus epidemic that has dominated healthcare. The COVID-19 virus has presented a special challenge to the healthcare system since the infection’s intensity might differ from person to person (Mehta & Pandit, 2018).In a new study published in JAMA, researchers used machine learning algorithms and predictive modeling to identify risk variables linked to severe COVID-19 cases (Van Calster et al., 2019). It is possible to estimate the severity of COVID-19 using predictive analytics techniques. This method can vary depending on who you are. The American Chemical Society has just developed a blood test to predict if a patient may be suffering from severe COVID-19 symptoms. Predictive analytics can help providers identify those patients at risk of developing chronic diseases such as cancer, heart disease, obesity and renal disease. Cont…
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