Reed Julie, Svedberg Petra, Nygren Jens
School of Health and Welfare, Halmstad University, Halmstad, Sweden.
J Med Internet Res. 2025 Mar 24;27:e56836. doi: 10.2196/56836.
As health care demands rise and resources remain constrained, optimizing health care systems has become critical. Information-driven technologies, such as data analytics and artificial intelligence (AI), offer significant potential to inform and enhance health care delivery at various levels. However, a persistent gap exists between the promise of these technologies and their implementation in routine practice. In this paper, we propose that fragmentation of the innovation ecosystem is behind the failure of new information-driven technologies to be taken up into practice and that these goals can be achieved by increasing the cohesion of the ecosystem. Drawing on our experiences and published literature, we explore five challenges that underlie current ecosystem fragmentation: (1) technology developers often focus narrowly on perfecting the technical specifications of products without sufficiently considering the broader ecosystem in which these innovations will operate; (2) lessons from academic studies on technology implementation are underused, and existing knowledge is not being built upon; (3) the perspectives of healthcare professionals and organizations are frequently overlooked, resulting in misalignment between technology developments and health care needs; (4) ecosystem members lack incentives to collaborate, leading to strong individual efforts but collective ecosystem failure; and (5) investment in enhancing cohesion between ecosystem members is insufficient, with limited recognition of the time and effort required to build effective collaborations. To address these challenges, we propose a series of recommendations: adopting a wide-lens perspective on the ecosystem; developing a shared-value proposition; fostering ecosystem leadership; and promoting local ownership of ecosystem investigation and enhancement. We conclude by proposing practical steps for ecosystem members to self-assess, diagnose, and improve collaboration and knowledge sharing. The recommendations presented in this paper are intended to be broadly applicable across various types of innovation and improvement efforts in diverse ecosystems.
随着医疗保健需求的增加以及资源仍然受限，优化医疗保健系统已变得至关重要。信息驱动技术，如数据分析和人工智能（AI），在为各级医疗保健服务提供信息和提升服务方面具有巨大潜力。然而，这些技术的前景与其在日常实践中的实施之间仍然存在持续差距。在本文中，我们提出创新生态系统的碎片化是新的信息驱动技术未能付诸实践的原因，并且通过增强生态系统的凝聚力可以实现这些目标。借鉴我们的经验和已发表的文献，我们探讨了当前生态系统碎片化背后的五个挑战：（1）技术开发者往往狭隘地专注于完善产品的技术规格，而没有充分考虑这些创新将在其中运行的更广泛生态系统；（2）关于技术实施的学术研究所得经验未得到充分利用，现有知识也未得到积累；（3）医疗保健专业人员和组织的观点经常被忽视，导致技术发展与医疗保健需求不一致；（4）生态系统成员缺乏合作的激励措施，导致个人努力强劲但集体生态系统失败；（5）对增强生态系统成员之间凝聚力的投资不足，对建立有效合作所需的时间和努力认识有限。为应对这些挑战，我们提出了一系列建议：对生态系统采用广泛视角；制定共享价值主张；培养生态系统领导力；促进生态系统调查和增强的地方自主权。我们最后提出了生态系统成员进行自我评估、诊断以及改善合作和知识共享的实际步骤。本文提出的建议旨在广泛适用于不同生态系统中的各种创新和改进努力。
