You may use healthcare data analytics to estimate daily patient income and modify staffing accordingly. Make use of Electronic Health Records (EHRs). For immediate care, use real-time alerting. With regard to research, analyze large data sets to come up with new treatments or therapies. Here are some more examples: Data can be used to identify health trends that allow us to take action before patients develop serious illnesses. For example, you might use data on the rates at which heart disease deaths occur in different communities to identify where efforts to reduce these rates should be focused. Data can also help predict how many people will develop a particular condition based on past patterns. For example, looking at how many women who have had a breast cancer already die from it could help doctors decide whether prescribing them drugs that attack another part of the body is going to be effective for this woman. Data can be used to find connections between things that happen to individual people. For example, if there are ways to measure how likely someone is to get sick later in life and then track him or her over time, we could see if they are more likely to get other diseases later in life. This would be useful information for doctors to have when treating their patients.