Analytics (IT) has now grown to be an essential component in the healthcare field, especially in the improvement of patient safety. The use of big data helps to conduct risk evaluations and effectively prevent errors that threaten the lives of patients and their conditions. This blog post will describe key areas through which analytics is affecting patient safety while stressing how valuable this tool is in the current practice of medicine.

Estimating the Risk of Patients

Risk prediction is useful since it is able to alert care providers about the patients at risk of adverse events. With the help of data analysis, healthcare suppliers are able to determine which of their patients fall under the category of high risk of developing such complications. For example, the probability of patients being readmitted can be forecast, thereby preparing for such occurrences. These applications thus bring out how analytics can support the healthcare safety of patients in a significant way. Risk factors can also be predicted and care plans issued, which will contribute to a more targeted improvement in interventions and decrease the chance of a patient safety event occurring. This is a step in the right direction for enhancing the quality of the patients and reducing complications that are highly likely to be foreseen. (more…)