As more healthcare systems become digitized, the risk of cyberattacks increases, causing concern among those involved with these systems. However, positive technology can counteract negative technology, and the development of artificial intelligence (AI) and machine learning (ML) has proven to decrease these risks and attacks by anticipating and preventing them.

The development of ambient computing has very promising outcomes for the medical world, especially in reducing the negative effects of EHRs. Companies such as Nuance, Providence, and Amazon are working on artificial intelligence platforms that use ambient technologies to listen in on clinician - patient conversations.

AI within healthcare can have the benefit of eliminating extra human errors or biases when processing patient data. These biases are fundamental issues, often causing inequities in terms of race, ethnicity or even gender. As a result, treatments can become flawed and access to resources impaired due to certain preconceived biased notions.