Accuracy and interpretability

You are a data scientist consulting for a healthcare startup focused on developing an AI model to predict patient readmissions within 30 days of discharge. The client insists on using the model with the highest accuracy, believing it to be the best option for their needs. You've developed several models, each with varying levels of accuracy and explainability, and now need to advise the client on the best choice considering the healthcare context.

Given the importance of both accuracy and explainability in healthcare, which of the following options should you recommend to the client as the most appropriate model for predicting patient readmissions?