This work is a part of my broader research on designing AI-based health informatics systems.  This project was conducted during the global pandemic of COVID-19.  Amid the pandemic, healthcare providers were faced with increased stress resulting in mental health problems and even suicidal tendencies. So we designed an intervention system where people track their stress and sleep-related metrics and respond to daily surveys. Based on their metrics, the system then provides them with personalized interventions.

My role: Lead researcher (collaboratively design and conduct study, design surveys, conduct user interviews, transcribe and analyze the data)

Other stakeholders: Computer scientists, Rehabilitation psychologists, Clinical research coordinators

User population studied: Surgeons, Nurses, Resident doctors, Administrative staff at hospitals

User study methods:  Semi-structured interviews,  Reflexive thematic analysis, Affinity diagrams 

Tools and methods used: REDCap, Fitabase, Garmin Vivosmart 4,  Python,  Miro