Krumsvik Rune Johan, Johansen Marius Ole, Slettvoll Vegard
Department of Education, Faculty of Psychology, University of Bergen, Bergen, Norway.
Faculty of Medicine, University of Bergen, Bergen, Norway.
Digit Health. 2025 Jul 29;11:20552076251365006. doi: 10.1177/20552076251365006. eCollection 2025 Jan-Dec.
The general practitioner (GP) scheme in Norway has long been under pressure, and in recent years, several media outlets have referred to the situation as a "GP crisis." Over the past year, however, this trend has begun to shift. Bolstered by increased baseline funding, the number of Norwegians without a designated GP has been nearly halved. Predicating this improvement is the fact that GP patient lists are gradually becoming shorter. For the first time, the average GP list now includes fewer than 1000 individuals. To maintain this positive development, either more physicians must choose to become GPs-which would likely come at significant cost to municipalities and the state-or solutions must be implemented that allow for sustainable patient list sizes while mitigating the chronic overload that many GPs have faced. At the same time, artificial intelligence (AI) and large language models may offer promising capabilities in this setting. In this commentary, we explore how AI, wearable devices, everyday technologies, social chatbots, and "health companions" could help alleviate the burden on the GP scheme, empower individuals in managing their own health, and reduce overall societal healthcare costs.
挪威的全科医生（GP）体系长期面临压力，近年来，多家媒体将这种情况称为“全科医生危机”。然而，在过去一年里，这一趋势开始转变。在基线资金增加的支持下，没有指定全科医生的挪威人的数量几乎减半。这一改善的前提是全科医生的患者名单逐渐缩短。如今，全科医生名单的平均人数首次少于1000人。为保持这一积极发展态势，要么必须有更多医生选择成为全科医生——这可能会给市政当局和国家带来巨大成本——要么必须实施相应解决方案，在减轻许多全科医生长期面临的超负荷工作的同时，维持可持续的患者名单规模。与此同时，人工智能（AI）和大语言模型在这种情况下可能会提供有前景的能力。在这篇评论文章中，我们探讨人工智能、可穿戴设备、日常技术、社交聊天机器人和“健康伴侣”如何能够帮助减轻全科医生体系的负担，使个人能够更好地管理自己的健康，并降低社会整体医疗成本。
