New interventions, and predict occurrences of diseases.

New interventions, and predict occurrences of diseases.

Data mining is the process used to identify trends and patterns in large amount of data (McBride & Tietze, 2016). Healthcare is plagued with a significant amount of data, some useful, some not. The process of data mining can help sift through data, to identify data that could benefit patient outcomes. Data mining is beneficial in healthcare, as big data in healthcare is used to develop treatment options, discover new interventions, and predict occurrences of diseases. Data mining is also valuable in workflow designs. The outcomes produced from the analysis of big data allows for clinicians and data scientists to identify opportunities to improve the way that care is delivered. Using techniques in data mining, providers of care can further identify specific trends in care delivery that may not otherwise be discovered. Using this information, clinicians can develop more efficient workflows.

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