AI does best with objective data. That’s why the clinical side of things is so inviting for AI innovators. Crunchy, quantitative data like lab-values and vital signs are ripe for algorithmic processing.
Experience data are trickier. They revolve around patients’ feelings, which aren’t always easy to capture and quantify. Without that ready-made data, it’s harder to create AI products that can make use of what we observe from patients’ experiences.
That’s changing, however. We’re getting savvier about how we understand what patients go through, and we’re able to bring new models of machine learning to subjective-experience data. It’s cutting-edge technology.