What does 'Interoperability' in AI focus on?

Interoperability in AI primarily focuses on the ability to exchange data seamlessly between different systems, which is crucial in a healthcare context, including dentistry. This concept allows AI tools to communicate effectively with practice management software and Electronic Health Records (EHR). By facilitating this exchange of information, interoperability enhances workflow efficiency, ensures consistency in patient data, and supports more informed decision-making by dental professionals.

When AI systems can share and receive data from various sources such as EHRs, they can provide more comprehensive insights and predictions, ultimately improving patient care. This ability to integrate with existing technologies is vital for the practical application of AI in real-world settings, making it a cornerstone of effective digital transformation in healthcare.

The other options, while they touch on important aspects of technology and AI, do not encapsulate the primary focus of interoperability, which is fundamentally about data exchange and integration across platforms within the healthcare ecosystem.