Lessard Lysanne, Sauré Antoine
University of Ottawa, Ottawa, Ontario, Canada.
Institut du Savoir Montfort - Research, Ottawa, Ontario, Canada.
Healthc Manage Forum. 2025 Jun 12;38(5):8404704251348857. doi: 10.1177/08404704251348857.
Canadian healthcare systems require profound transformations to enhance patient experience, improve population health, reduce costs, and improve the work life of healthcare providers. Learning Health Systems (LHSs) are an approach for undertaking this transformation in an effective, efficient, and sustainable manner with digital technologies as a key enabler for change. However, the successful implementation of a LHS brings with it challenging and potentially risky changes to clinical practices and operations. Simulation modelling is an advanced analytics technique particularly well-suited for informing decision-making and planning prior to and during the transformation of complex systems such as LHSs. Yet, despite the use and demonstrated benefits of simulation modelling in many different industries including healthcare, its application in the context of LHSs has received limited attention. In this article, we discuss how simulation modelling can be leveraged to support better-informed, lower-risk decisions and innovation in LHSs.
加拿大医疗保健系统需要进行深刻变革，以提升患者体验、改善人群健康状况、降低成本并改善医疗保健提供者的工作生活。学习型健康系统（LHS）是一种以数字技术作为变革关键推动因素，有效、高效且可持续地进行这一变革的方法。然而，成功实施学习型健康系统会给临床实践和运营带来具有挑战性且潜在风险的变化。模拟建模是一种先进的分析技术，特别适合在诸如学习型健康系统等复杂系统转型之前及期间为决策和规划提供信息。然而，尽管模拟建模在包括医疗保健在内的许多不同行业中得到了应用并展现出了益处，但其在学习型健康系统背景下的应用却受到了有限的关注。在本文中，我们将讨论如何利用模拟建模来支持在学习型健康系统中做出更明智、风险更低的决策以及推动创新。
