Navigating AI’s Double-Edged Sword: Cyber Resilience in Healthcare

Healthcare organizations face a complex balancing act when integrating AI, navigating the promise of significant benefits alongside inherent risks. The technology brings a wealth of benefits, such as speeding up and improving the accuracy of patient diagnoses. It can also save lives by augmenting research and testing of cures and treatments. But, as with AI implementations in any industry, there are downsides — such as data privacy and accuracy.Achieving accurate AI models in healthcare necessitates the use of detailed patient data, highlighting the critical importance of responsible data management and minimizing unnecessary collection. However, to avoid exposure of sensitive healthcare information, healthcare entities must also ensure such data is secure and separated from other companies’ (and more general) data inputs.