With the capabilities that informatics brings to the health care sector come the responsibility of considering the legal and ethical outcomes of using patient data, even if it is anonymous, to inform policies, practices, and patient costs of receiving care. This week you study the use and implications of predictive analytics aimed at personalizing and improving patient care.

Respond to the following in a minimum of 175 words:

Research an example of the use of predictive analytics in health care and share the link in your post. Summarize the application, its benefits, and potential drawbacks. Do you think the benefits are worth the potential risks and drawbacks?
Is predictive analytics that uses genomics racist, sexist, homophobic, or discriminatory in other ways? Defend your answer using course and industry sources.
As a health care administrative professional, what do you think is potentially the greatest organizational benefit of using predictive analytics in patient care?