Learning health systems


Learning health systems are health and healthcare systems in which knowledge generation processes are embedded in daily practice to improve individual and population health. At its most fundamental level, a learning health system applies a conceptual approach wherein science, informatics, incentives, and culture are aligned to support continuous improvement, innovation, and equity, and seamlessly embed knowledge and best practices into care delivery
The idea was first conceptualized in a 2006 workshop organized by the US Institute of Medicine, building on ideas around evidence-based medicine and "practice-based evidence". and around recognition of the persistent gap between evidence generated in the context of biomedical research and the application of that evidence in the provision of care. The need to close this gap was further underscored by the growth of electronic health records and other innovations in health information technology and computational power, and the resulting ability to generate data that can lead to better evidence and better outcomes. There has since been increasing interest in the topic, including the creation of the Wiley journal Learning Health Systems.
Cornerstone elements of the LHS include:
  1. generation, application, and improvement of scientific knowledge;
  2. an organizational infrastructure that supports the engagement of communities of patients, healthcare professionals and researchers who collaborate to identify evidence gaps that could be addressed through research in routine healthcare settings;
  3. deployment of computational technologies and informatics approaches that organize and leverage large electronic health data sets, i.e. "big data" for use in research;
  4. quality improvement at the point of care for each patient using new knowledge generated by research.
Other compatible ways of describing the LHS co-exist alongside the NAM definition, including the definition used by AHRQ, the Agency for Healthcare Research and Quality. a learning health system as "a health system in which internal data and experience are systematically integrated with external evidence, and that knowledge is put into practice. As a result, patients get higher quality, safer, more efficient care, and health care delivery organizations become better places to work."
In 2023, the NAM established ten core principles of learning health organizations to serve as a unifying touchstone for the field. The principles reflect and build upon the six aims of the seminal "Crossing the Quality Chasm" report published in 2001, and account for the ways in which health care has evolved since the publication of this 2001 report.
  • Engaged - Informed engagement, options, and choices for those who are served
  • Safe - Tested and up-to-date protocols to protect from harm
  • Effective - Evidence-based services tailored to understanding of each person's goals
  • Equitable - Parity in opportunity to attain desired health and goals
  • Efficient - Optimal outcomes for accessible, non-wasteful resources
  • Accessible - Effective services readily available where and when they are most needed
  • Measurable - Reliable and valid assessment of consequential activities and outcomes
  • Transparent - Clear information related to the nature, use, costs, and results of services
  • Secure - Validated access and use safeguards for digitally-mediated activities
  • Adaptive - Continuous learning and improvement are integral to organizational culture

    History

The NAM's early efforts to develop the ideas underpinning the LHS began in 2006, via a series of workshops held over several years from 2006-2013. Among several early publications to express the need for a rapid learning health system was a commentary in Health Affairs in 2007 where Lynn Etheredge applied the term "rapid learning health system" in recognition of the opportunity to leverage electronic health records to "learn" what works in health care. The series of NAM workshops generated several summary publications on topics under the mantle of the LHS, including publications focused on the digital infrastructure as well as on ethical considerations. In 2013, the workshops culminated in a seminal report, "Best Care at Lower Cost: the Path to Continuously Learning Health Care in America." Summarizing the heretofore efforts, McGinnis and colleagues enumerate key milestones in the evolution of the LHS that include these reports as well as decades-old efforts to generate evidence from routine health care delivery.
Nomenclature may vary in reference to the LHS concept. Some refer to a learning healthcare system, others refer to learning health systems or collaborative learning health systems. The architecture and objectives are similar, irrespective of the label—addressing evidence gaps, harnessing data, and effectively utilizing the best evidence at the point of need. Related concepts include the use of real-world data to generate real-world evidence, and mobilizing computable biomedical knowledge.
Given that the LHS has an expansive definition and scope, many of the early adopters of this approach were health systems that also had embedded research capabilities, such as a formal department or institute. The Veterans Administration Health System, Group Health Cooperative, Kaiser Permanente and Geisinger Health System were among the vanguard organizations who also published insights from their experience of launching formal learning health system activities. Increasingly, academic health systems have taken up the principles and practices espoused by the earliest adopters.

Adoption and spread

Early experiences with deploying the LHS have been instructive and have led to further adoption and spread. The LHS model is being applied in specific medical specialties such as pediatrics and oncology, and further examination of the environment and conditions that support learning have spurred development of increasingly detailed and specialized frameworks that can support further adoption and adaptation based on the needs, features, and capabilities of a particular health system.
Along with a growing body of peer-reviewed publications on the specific experience of different systems as they evolve toward continuous learning, review articles have been published to reflect on the growth of the LHS as a whole. A systematic review by Budrionis observed that the ability to evaluate how well an LHS improves outcomes was not well-explored in the literature. Subsequently, Platt examined progress of theories and implementation of the LHS, Nash focused a review on deployment of the LHS in primary care, and Ellis mapped empirical applications of the LHS. Easterling and colleagues proffer an elaborate taxonomy of LHS elements and use this to describe an LHS-IP, or "Learning Health System In Practice" as a model for health care systems who seek to become an LHS.
The motivations for applying LHS concepts are largely and logically focused on improving the quality of care. Exemplar organizations are numerous and growing and include both community-based health systems and university-based academic health systems/medical centers in the United States:
In many cases, these institutions are engaged in research activities such as the , Clinical and Translational Science Awards, and where the LHS concepts are applied. The University of Michigan has also established a formal academic department, the . Alongside these exemplar organizations, related initiatives and consortia have been established in recent years. The is an umbrella organization that has united many systems and health data organizations to develop shared principles and processes, and foster learning about the applications of technologies in the context of learning systems via a periodic virtual forum. Given their centrality to the generation of health data and information, two of the largest EHR vendors have also created communities to support LHS: Cerner's and Epic System's . Still, much of the LHS development has been concentrated in large academic medical centers and health systems with a sizable footprint. Masica notes that nearly 85% of more than 6000 hospitals in the US are categorized as community hospitals, and the ability to develop and implement an LHS may be more challenging due to workforce and other constraints.
Dissemination of the activities and experiences of learning health systems has been an instrumental aspect of their growth and spread.  While peer-reviewed literature on the LHS appears in a variety of journals, the creation of ' and the ' are dedicated to manuscripts that showcase the experience of those deploying or refining aspects of learning in real-world practices. Each has also published special issues with thematic emphases on LHS-related topics such as embedded research and of the LHS. Another marker of the spread of the LHS is its international adoption. Australia, Canada, the United Kingdom and other countries are applying the LHS concepts, offering opportunities to compare and contrast global experiences and develop a richer picture of how the local context, structure of care delivery, and regulatory environment affect the ability to support continuous learning. Patient involvement in the LHS has grown, partly due to the establishment of the Patient-Centered Outcomes Research Institute, continued emphasis on shared decision-making, and the growing recognition of participatory medicine. However, the engagement of patients is not consistent across health systems and there is not a uniform template for patient engagement or approaches to educating patients about the value and significance of the LHS as a model for improving evidence-based care.