"What is Your Envisioned Future?": Towards Human-AI Enrichment in Data Work of Asthma Care

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Patient-Generated Health Data (PGHD) are crucial for providers’ decision-making as they complement clinical data by providing a more holistic view of patients’ daily conditions. We interviewed 20 healthcare providers in asthma care to envision future technologies to support their PGHD use. We found that healthcare providers desire future AI systems to enhance their ability to treat patients by analyzing PGHD for profiling risk and predicting deterioration. Despite the benefits that AI could bring, providers perceived various challenges of AI use of PGHD, including added burden, lack of trust toward AI, and fear of being replaced by AI. Clinicians wished for a future of co-dependent human-AI collaboration, where AI will help them to improve their clinical practice. In turn, providers can improve AI systems by making AI outputs more trustworthy and humane. We discuss the importance of considering context and aligning the complex human infrastructure before designing or deploying PGHD-based AI systems in clinical settings. We point out the opportunity to design for Human-AI enrichment, where humans and AI not only partner with each other for improved performance, but also enrich each other to make each other better at work overtime.