In today’s digital age, healthcare organisations handle vast amounts of sensitive patient data, making them prime targets for cyber threats. Artificial Intelligence (AI) and Machine Learning (ML) are revolutionising healthcare data security by providing advanced protection against cyber risks. Let’s explore how AI and ML enhance data security in healthcare.
Revenue leakage in hospitals refers to the loss of potential income due to errors, inefficiencies, or overlooked billing opportunities. It often arises from inaccurate patient data, coding mistakes, or delayed claims processing. These issues can result in underpayments, missed charges, or even claim denials. Over time, these small gaps can lead to substantial financial losses, making it vital for hospitals to identify and address revenue leakages promptly.
