Developing an image processing solution for healthcare involves defining clinical goals, preparing medical data, training and evaluating a model, and optimizing it for deployment in healthcare environments. Once deployed, the solution undergoes testing in real-world settings, with post-deployment support ensuring it meets clinical standards and performs reliably.