A Review of 25 Years of CSCW Research in Healthcare: Contributions, Challenges and Future Agendas

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A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy (2020, background): “While these studies bring us closer to understanding the needs of clinicians as they interact with deep-learning-based systems, they do not account for the highly situated nature of activities in clinical environments [16].”
Identifying Challenges and Opportunities in Human-AI Collaboration in Healthcare (2019, background): “Literature in CSCW and HCI has long shown that designing systems for complex sociotechnical contexts, such as Workshop Summary , needs to account for highly situated , relations among diverse human/non-human actors, and social worlds [1,2, 9,19].”
An Overview of Chatbot-Based Mobile Mental Health Apps: Insights From App Description and User Reviews (2022, unknown): “Before implementing a technological solution for MH, researchers in digital health communities are constantly interested in the support needs and preferences of groups or communities [24-26].”
Engaging Solidarity in Data Collection Practices for Community Health (2018, background): “There has been much work in CSCW on the design, development, deployment, and evaluation of technology for supporting workflows and collaborative processes in health settings [24].”