Editors Note: This is a guest post contributed by Hannah Seibert, a Miami University Honors student and technology enthusiast, tackling an issue many of us have faced and continue to face—healthcare billing errors. She explores how AI and Machine learning can be applied to improve this process and more.

Medical billing is one of the most integral parts of how healthcare information is delivered and received. Receiving a correct bill, however, is becoming increasingly more difficult.

200 million; that's the number of insurance claims that are rejected every year according to the AARP.

How does this happen? And why is this number significant?