Tailor risks, options and visualizations based on an algorithm. So if the risk of a side-effect differs based on age, gender or a genetic disposition, you can provide the individualized estimate.
From simple sliders, to budget pies, discrete choice experiments and best worst scaling, you can help users understand what matters most to them in their decision, and to convey this to others.
Integrate the individualized evidence and values to help a patients know what option might be best for them. Use MCDA or latent class model results to nudge patients to choose the best option.