This design work is part of a collaborative effort between Northwell Health and Georgia Tech. The paper from this work is under review.


Research has demonstrated that social media serves as a powerful source of mental health insights. However, how these insights can serve as collateral information to support the work practices of clinicians remains unexplored. This study presents collaboration between HCI and clinical researchers who sought to design a future technology potentially deployable in a mental healthcare setting. First, the team adopted the needs–affordances framework to reveal clinicians’ needs and existing work practices. Next, we iterated an interactive prototype using mood disorder patients’ Facebook data. We evaluated the prototype with clinicians, in interviews with the prototype (N=15) and three focus groups (N=13), to assess compatibility and clinical value. Our findings reveal potential for enhancing the patient–clinician therapeutic alliance, alongside concerns regarding liability and credibility of the computational algorithms. We discuss the need for patient agency and institutional support for such technologies to be successful at the point of care.