Notes

Health analytics, also known as big data analytics, is the process of deriving insights from patterns and correlations found in healthcare big data and used to make better healthcare decisions. Health analytics extends beyond data management to finding meaning in real-time or historical data, and making predictions about the future to improve the probability of success.

It is used to interpret data to inform future interactions with patients, consumers, and populations, uncover the root cause of consumer response or lack of response to outreach, aid in predictive modeling by interpreting patient data from previous interactions.

It also helps to improve quality of clinical care by increasing healthcare organizations’ access to patient data, improve workflow across your organization by streamlining data-access processes and uncover the root cause of consumer response or lack of response to outreach.