Although enterprise-wide AI will begin in the traditional IT department, few departments, however, are prepared to take on the complexity and challenges that becoming AI-enabled will pose. Much like the rest of the organization, AI...

The mutability and opaque nature of AI makes it difficult to determine liability for malpractice claims and professional regulatory standards. Health systems that choose to implement AI before the case law on these issues is...

One key barrier in AI adoption in healthcare is med-legal implications of using AI algorithms that make predictions and provide recommendations. Clinicians could rely on these to make key decisions about patient management. What if...

One of the key  issues with implementing AI solutions in healthcare settings is the fact that these algorithms are often in the cloud and the medical center data would need to leave the institution to...

One of the key issues with the use of digital technologies in healthcare has been that they need a reliable feed of data to perform as expected and their output needs to be timely so...