Figure 1.

Framework for personalized, data-driven dermatology. The key components of the framework include longitudinal data, analytics, and new knowledge that can be applied to patient care to improve patient outcomes. Note that the data in the framework are composed of not only traditionally gathered clinical data but also data generated by patients (e.g., tracking their symptoms and self-reported outcomes as well as physiological measurements ranging from home blood pressure and glucose levels to step count and sleep duration/quality) and through digital technology such as ones enabling skin measurements of stiffness and wound healing. Labs, laboratory measurements.