AI in Healthcare: Promising Revolution or Perilous Consequence? Balancing Benefits with Risks

The healthcare sector is rapidly adopting artificial intelligence (AI) technology, promising to revolutionize care by improving quality, breaking down barriers and promoting health equity. The fact sheet delves into the potential use cases of AI across key areas such as back-office operations, clinical support, population health, and health workforce solutions.

However, along with its benefits, AI also presents risks that must be carefully considered. One major concern is algorithm bias and inequity, which can perpetuate existing disparities in healthcare. This is particularly true when algorithms are based on biased or unrepresentative data. Another risk is data breaches, which can compromise patient privacy and confidentiality. Additionally, job losses may result as AI replaces human labor in some areas.

To mitigate these risks and ensure that AI is used responsibly within the healthcare safety net, it’s important to be mindful of data privacy and informed consent. Algorithm bias must also be addressed through responsible oversight and equitable access to the advantages offered by AI. As AI tools and solutions become more widely adopted in healthcare, these considerations will become increasingly important for ensuring that patients receive high-quality care that promotes health equity and accessibility for all.