Table 1.

Selected examples of patient feedback driving significant changes in the user experience and overall architecture of the Learn, Assess, Manage, and Prevent platform. Semantic (technical) standards–based approach.

Sample patient feedback	Outcome
“Apps like Facebook or Amazon are clear where I am lost in a sea of people or items and that is generally accepted, but with apps in the health space, who is involved, which institution is involved, level of comfort with the individuals and what data is collected, all of these factors are carefully calculated when I make a decision to join a study like this—an establishment of trust is crucial. Apps that track people incur a level of suspicion that changes between people, from none at all to a lot, perhaps depending on level of illness.”	The Learn, Assess, Manage, and Prevent platform was rebuilt around an open-source collaborative environment supported by the consortium; all development and data handling processes are disclosed in the privacy policy, and significant backend changes were made to patient data equity and ownership.
“Yeah, because I don’t see any apps out there these days that help people with psychosis and when they’re getting sicker. It just seems...they just don’t help with certain things. This gives you control to go get help if somebody needs it. It’s like, the good thing about this app is, it’s getting the right information and it’s sending you somewhere, it’s almost as if you could go to the therapist with this information! You don’t want an app that’s just one sided [and siloed off from the therapist or delivery of care].”	Additional types of activities were added to the mindLAMP app, including tips (Figure 2), meditation, and other informational and management tools; each of these activities captures metadata during patient use that can be interpreted and incorporated into a clinical encounter.
“mindLAMP is a tool for me to get better: I want to know if I’m making progress and when, what am I deficient in, how am I deficient, and how to improve on it; that is, as a metrics-driven person.”	The smaller heads-up summaries originally found in the first version of the mindLAMP app (Figure 2) were updated and expanded into an entire tab (Figure 2), providing more insight and customization into patient data.