In the context of developing a machine learning solution for a healthcare application aimed at predicting patient readmission risks, which phase of the ML solution architecture is primarily responsible for outlining the problem, defining the objectives, and establishing the criteria for success? Consider the need for compliance with healthcare regulations, the importance of scalability to handle large datasets, and the requirement for the model to be interpretable by healthcare professionals. Choose the best option.