Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners

作者：Ahmet Baki Kocaballi, Kiran Ijaz, Liliana Laranjo, Juan Carlos Quiroz, Dana Rezazadegan, Huong Ly Tong, Simon Willcock, Shlomo Berkovsky, Enrico W Coiera · 发表于：Journal of the American Medical Informatics Association · 年份：2020 · DOI：10.1093/jamia/ocaa131 · 被引用次数：116 · 研究领域：Artificial Intelligence in Healthcare and Education、Electronic Health Records Systems、Clinical Reasoning and Diagnostic Skills

OBJECTIVE: The study sought to understand the potential roles of a future artificial intelligence (AI) documentation assistant in primary care consultations and to identify implications for doctors, patients, healthcare system, and technology design from the perspective of general practitioners. MATERIALS AND METHODS: Co-design workshops with general practitioners were conducted. The workshops focused on (1) understanding the current consultation context and identifying existing problems, (2) ideating future solutions to these problems, and (3) discussing future roles for AI in primary care. The workshop activities included affinity diagramming, brainwriting, and video prototyping methods. The workshops were audio-recorded and transcribed verbatim. Inductive thematic analysis of the transcripts of conversations was performed. RESULTS: Two researchers facilitated 3 co-design workshops with 16 general practitioners. Three main themes emerged: professional autonomy, human-AI collaboration, and new models of care. Major implications identified within these themes included (1) concerns with medico-legal aspects arising from constant recording and accessibility of full consultation records, (2) future consultations taking place out of the exam rooms in a distributed system involving empowered patients, (3) human conversation and empathy remaining the core tasks of doctors in any future AI-enabled consultations, and (4) questioning the current focus of AI initiatives on improved eff...