Friedman Charles, Rubin Joshua, Brown Jeffrey, Buntin Melinda, Corn Milton, Etheredge Lynn, Gunter Carl, Musen Mark, Platt Richard, Stead William, Sullivan Kevin, Van Houweling Douglas
University of Michigan, Ann Arbor, Michigan, USA.
Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
J Am Med Inform Assoc. 2015 Jan;22(1):43-50. doi: 10.1136/amiajnl-2014-002977. Epub 2014 Oct 23.
The capability to share data, and harness its potential to generate knowledge rapidly and inform decisions, can have transformative effects that improve health. The infrastructure to achieve this goal at scale--marrying technology, process, and policy--is commonly referred to as the Learning Health System (LHS). Achieving an LHS raises numerous scientific challenges.
The National Science Foundation convened an invitational workshop to identify the fundamental scientific and engineering research challenges to achieving a national-scale LHS. The workshop was planned by a 12-member committee and ultimately engaged 45 prominent researchers spanning multiple disciplines over 2 days in Washington, DC on 11-12 April 2013.
The workshop participants collectively identified 106 research questions organized around four system-level requirements that a high-functioning LHS must satisfy. The workshop participants also identified a new cross-disciplinary integrative science of cyber-social ecosystems that will be required to address these challenges.
The intellectual merit and potential broad impacts of the innovations that will be driven by investments in an LHS are of great potential significance. The specific research questions that emerged from the workshop, alongside the potential for diverse communities to assemble to address them through a 'new science of learning systems', create an important agenda for informatics and related disciplines.
共享数据并利用其潜力快速生成知识以辅助决策，这一能力能够产生改善健康状况的变革性效果。实现这一目标的大规模基础设施——将技术、流程和政策相结合——通常被称为学习健康系统（LHS）。实现学习健康系统面临众多科学挑战。
美国国家科学基金会召开了一次邀请研讨会，以确定实现全国规模学习健康系统所面临的基础科学和工程研究挑战。该研讨会由一个12人委员会策划，最终于2013年4月11日至12日在华盛顿特区，让45位来自多个学科的杰出研究人员在两天内参与其中。
研讨会参与者共同确定了围绕高效学习健康系统必须满足的四个系统级要求组织的106个研究问题。研讨会参与者还确定了一种新的网络社会生态系统跨学科综合科学，以应对这些挑战。
对学习健康系统的投资所推动的创新在知识价值和潜在广泛影响方面具有巨大的潜在意义。研讨会上提出的具体研究问题，以及不同群体通过“学习系统新科学”聚集起来解决这些问题的潜力，为信息学及相关学科创造了一个重要议程。
