As AI technology continues to transform the healthcare sector, this fact sheet provides a comprehensive overview of both the opportunities and challenges associated with its integration. The focus is on how AI can revolutionize healthcare by improving the quality of care, breaking down barriers to access, and promoting health equity within systems like Medi-Cal.
The potential use cases for AI in healthcare are vast and varied, spanning key areas such as back-office operations, clinical support, population health, and health workforce solutions. However, along with its benefits come certain risks that must be carefully considered. For instance, there have been instances where AI has perpetuated bias and inequity when algorithms are based on biased or unrepresentative data. Additionally, there are concerns about data breaches, job losses, and disparities in access to the advantages offered by AI.
To address these concerns, it is crucial to consider issues related to data privacy, informed consent, algorithm bias, responsible oversight, and ensuring equitable access. These considerations become increasingly important as AI tools and solutions are embraced more widely within the healthcare safety net. Overall, while there are certainly risks associated with integrating AI into healthcare systems