Knowledge (XXG)

Learning health systems

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applied the term “rapid learning health system” in recognition of the opportunity to leverage electronic health records (EHR) 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.
587:(PCORI) has designated the realization of a national learning health system as one of their five national priorities for health, which is indicative of future funding opportunities. Funding provided to personnel within an organization (i.e., a health system) may be designated for internally-directed learning activities with no expectation about developing and publishing generalizable results. In this way, learning health system may be distinguished from traditional health services or informatics research and more closely resemble the funding and infrastructure that health systems designate for quality improvement activities. In 2015, the 345:
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.
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anchored on seven essential obligations: (1) respecting dignity and rights of all patients; (2) respecting clinical judgment; (3) providing optimal care to every patient; (4) avoiding the introduction of non-clinical burdens and risks; (5) reducing health inequities; (6) ensuring responsible activities are conducted in a way that fosters learning; and (7) contributing to the overall aim of improving quality and value in health care. This framework and several companion articles were published as a special report from the
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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 (REF LHS 2022) 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.
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technology (both computational and statistical), an analysis of the amalgamated data can result in new evidence. Such knowledge generation can then spur changes in clinical practice, and thus to new patient data being collected. This is the optimum for the LHS. However, dissemination of implementation of new evidence can be operationally and technically challenging in many settings, including the original health system that identified a problem based on their own clinical data.
458:, two US funding agencies that also issue funding opportunities for LHS-related studies. A $ 40 million funding opportunity for mentored career development awards was issued in 2017 and 11 Centers of Excellence were awarded five years of federal funding in 2018 to support the training of clinician and research scientists to conduct patient-centered outcomes research within LHS. 405:
complex healthcare environment, sustained engagement of all health system stakeholders is necessary to successfully identify and prioritize evidence gaps, develop suitable interventions, analyze insights from the interventions, and deploy resulting changes. Hence, many disciplines and scientific domains may contribute various types of subspecialty expertise including:
323:. 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. 604:. Subsequent articles by Finkelstein et al, as well as Asch and colleagues seek to use examples of learning activities as a means to describe different approaches to research oversight and compliance. Rigorous deliberations about the approach to informed consent are also germane to the ethics of learning activities in the healthcare context. 454:
and Implementation in Health Systems; (6) Improvement and Implementation Science; (7) Engagement, Leadership, and Research Management. An 8th domain, Equity and Justice, was added in 2022 and a total of 38 competencies are now identified. These competencies form the backbone of a training program collaboratively funded by AHRQ and
591:(CMS) funded the Health Care Payment Learning and Action Network to ascertain what works with respect to alternative health care delivery arrangements, however, reimbursement for learning activities from insurers/payers is not currently a steady avenue for financial support to incentivize health system learning. 555:. Program offerings and emphases vary from institution to institution, but all involve training and professional development in topics related to improving health systems and the ability to generate and learn from evidence. Articles describing multidisciplinary workforce training efforts was published as 404:
The LHS is a multidisciplinary and multi-stakeholder model for improvement, wherein clinical practitioners, health system leaders, data analysts and health IT experts, operations personnel, and researchers bring requisite expertise to bear throughout the cycle of improving health and healthcare. In a
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The LHS leverages a clinical lifecycle. Patient data is collected, which can then be amalgamated across multiple patients to identify, define, and analyze a problem or a gap in the application of evidence-based care. These are activities largely driven by healthcare professionals. With the support of
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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
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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
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convened a technical expert panel in 2016 to identify core competencies, which yielded 33 competencies spanning seven domains. These competency domains are (1) Systems Science; (2) Research Questions and Standards of Scientific Evidence; (3) Research Methods; (4) Informatics; (5) Ethics of Research
357:(EHRs) and must navigate the inherent challenges of EHRs. EHRs were primarily created to support billing for clinical services and tracking health insurance claims. Generation of rich real-world clinical data is an essential "byproduct" of this highly transactional purpose of the contemporary EHR. 137:
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
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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
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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 (safe, equitable, effective, efficient, timely,
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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
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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
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Bioethics scholars including Faden, Asch, Finkelstein, Morain, and Platt have averred that in a learning health system, consideration should be given to both clinical ethics and research ethics. Faden, Kass and colleagues have put forth an ethics framework for the learning health system that is
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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
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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,
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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
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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:
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Smith M, Saunders R, Stuckhardt L, McGinnis JM, Committee on the Learning Health Care System in America, Institute of Medicine, et al. (Committee on the Learning Health Care System in America; Institute of Medicine) (2013). Smith M, Saunders R, Stuckhardt L, McGinnis JM (eds.).
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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.
47:(EHR) 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 310:
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
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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
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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
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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
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Faden RR, Kass NE, Goodman SN, Pronovost P, Tunis S, Beauchamp TL (January 2013). "An ethics framework for a learning health care system: a departure from traditional research ethics and clinical ethics".
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Faden RR, Kass NE, Goodman SN, Pronovost P, Tunis S, Beauchamp TL (2013). "An ethics framework for a learning health care system: a departure from traditional research ethics and clinical ethics".
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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.
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was created by AHRQ and PCORI to fund Learning Health System Embedded Scientist Training and Research (LHS E-STaR) Centers. Other similar training and fellowship programs have been offered by
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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.
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Lewis G, Kirkham H, Duncan I, Vaithianathan R (April 2013). "How health systems could avert 'triple fail' events that are harmful, are costly, and result in poor patient satisfaction".
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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.
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CATALyST: Consortium for Applied Training to Advance the Learning Health System with Scholars/Trainees, Kaiser Permanente Washington Research Institute, Seattle, WA.
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As the LHS has matured, leaders and vanguard organizations have identified the requisite skills needed to lead and develop interventions that support learning. The
742: 315:). 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 1840:"Clarifying the concept of a learning health system for healthcare delivery organizations: Implications from a qualitative analysis of the scientific literature" 584: 455: 588: 2557: 576: 450: 2503: 705: 279: 504: 1889:"The Texas Health Resources Clinical Scholars Program: Learning healthcare system workforce development through embedded translational research" 532: 185: 2637: 2444: 2416:"AHRQ and PCORI Institutional Mentored Career Development Program (K12) to Support the Next Generation of Learning Health System Researchers" 1308: 1023: 915: 699: 647: 483: 2532: 2010: 511: 497: 490: 266: 518: 2423: 2317:"Health and demographic surveillance systems: a step towards full civil registration and vital statistics system in sub-Sahara Africa?" 1149:"Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge-Accelerating the second knowledge revolution" 636:
Olsen L, Aisner D, McGinnis JM, et al. (U.S. Institute of Medicine) (2007). "The Learning Healthcare System: Workshop Summary".
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Leveraging Infrastructure to Train Investigators in Patient-Centered Outcomes Research in Learning Health System (LITI- PCORLHS),
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deployment of computational technologies and informatics approaches that organize and leverage large electronic health data sets,
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and patient-centered), and account for the ways in which health care has evolved since the publication of this 2001 report.
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Digital Infrastructure for the Learning Health System: The Foundation for Continuous Improvement in Health and Health Care
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Digital Infrastructure for the Learning Health System: The Foundation for Continuous Improvement in Health and Health Care
572: 2474: 195: 39: 1225: 306:. Alongside these exemplar organizations, related initiatives and consortia have been established in recent years. The 2794: 2554:"Minnesota Learning Health System - Projects and Research Studies - School of Public Health - University of Minnesota" 302:
where the LHS concepts are applied. The University of Michigan has also established a formal academic department, the
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Support for learning activities may be derived from federal, philanthropic, and other sources. Examples include the
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McLachlan S, Potts HW, Dube K, Buchanan D, Lean S, Gallagher T, Johnson O, Daley B, Marsh W, Fenton N (June 2018).
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Greene SM, Reid RJ, Larson EB (August 2012). "Implementing the learning health system: from concept to action".
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Greene SM, Reid RJ, Larson EB (August 2012). "Implementing the learning health system: from concept to action".
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improvement, innovation, and equity, and seamlessly embed knowledge and best practices into care delivery
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Forrest CB, Margolis PA, Bailey LC, Marsolo K, Del Beccaro MA, Finkelstein JA, et al. (2014-07-01).
1198:"Quality Enhancement Research Initiative (QUERI): A collaboration between research and clinical practice" 686: 476: 377:
Predictive patient risk modeling uses patterns in data to find groups at greater risk of adverse events.
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Friedman CP, Wong AK, Blumenthal D (November 2010). "Achieving a nationwide learning health system".
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Williams M, Richesson RL, Bray BE, Greenes RA, McIntosh LD, Middleton B, et al. (January 2021).
857:"PEDSnet: how a prototype pediatric learning health system is being expanded into a national network" 48: 1292:
A Foundation for Evidence-Driven Practice: A Rapid Learning System for Cancer Care: Workshop Summary
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The Center of Excellence in Promoting LHS Operations and Research at Einstein/Montefiore (EXPLORE),
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quality improvement at the point of care for each patient using new knowledge generated by research.
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Finkelstein JA, Brickman AL, Capron A, Ford DE, Gombosev A, Greene SM, et al. (October 2015).
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Ellis LA, Sarkies M, Churruca K, Dammery G, Meulenbroeks I, Smith CL, et al. (February 2022).
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Predictive care risk and outcome models identify situations that are at greater risk of poor care.
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Abernethy AP, Etheredge LM, Ganz PA, Wallace P, German RR, Neti C, et al. (September 2010).
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Masica AL, Velasco F, Nelson TL, Medford RJ, Hughes AE, Pandey A, et al. (October 2022).
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Psek WA, Stametz RA, Bailey-Davis LD, Davis D, Darer J, Faucett WA, et al. (2015-03-10).
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University of California-San Francisco Learning Health System K12 Career Development Program,
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Northwest Center of Excellence & K12 in Patient Centered Learning Health Systems Science,
258: 215: 27: 1581:"A framework for understanding, designing, developing and evaluating learning health systems" 2752: 2711: 2703: 2664: 2415: 2387: 2379: 2338: 2328: 2287: 2279: 2235: 2198: 2188: 2141: 2096: 2055: 2047: 1992: 1957: 1949: 1936:
McLachlan S, Dube K, Johnson O, Buchanan D, Potts HW, Gallagher T, Fenton N (October 2019).
1908: 1900: 1859: 1851: 1810: 1800: 1759: 1749: 1708: 1698: 1657: 1608: 1592: 1551: 1541: 1492: 1451: 1443: 1402: 1394: 1353: 1345: 1296: 1259: 1255: 1209: 1168: 1160: 1119: 1111: 1064: 1011: 979: 948: 903: 868: 825: 821: 776: 423: 180: 2268:"What role for learning health systems in quality improvement within healthcare providers?" 1687:"An Analysis of the Learning Health System in Its First Decade in Practice: Scoping Review" 539:
As the funding for the aforementioned Centers of Excellence concludes in 2023, a successor
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Stakeholder-Partnered Implementation Research and Innovation Translation (SPIRIT) program,
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use patient algorithms applied to patient data to make specific treatment recommendations.
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Transparent - Clear information related to the nature, use, costs, and results of services
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From Patient Data to Medical Knowledge: The Principles and Practice of Health Informatics
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McLachlan S, Potts HW, Dube K, Buchanan D, Lean S, Gallagher T, et al. (June 2018).
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A Chicago Center of Excellence in Learning Health Systems Research Training (ACCELERAT),
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Asch DA, Joffe S, Bierer BE, Greene SM, Lieu TA, Platt JE, et al. (December 2020).
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summarizing the collective insights from the 11 initially funded Centers of Excellence.
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McGinnis JM, Fineberg HV, Dzau VJ (July 2021). "Advancing the Learning Health System".
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PEDSnet Scholars: A Training Program for Pediatric Learning Health System Researchers,
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McLachlan and colleagues (2018) suggest a taxonomy of nine LHS classification types:
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Adaptive - Continuous learning and improvement are integral to organizational culture
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Accessible - Effective services readily available where and when they are most needed
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Effective - Evidence-based services tailored to understanding of each person's goals
1481:"The Heimdall Framework for Supporting Characterisation of Learning Health Systems" 1334:"Operationalizing the learning health care system in an integrated delivery system" 1275: 841: 765:"The Heimdall Framework for Supporting Characterisation of Learning Health Systems" 548: 419: 341: 335: 329: 115:
Measurable - Reliable and valid assessment of consequential activities and outcomes
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Bradley EH, Curry LA, Ramanadhan S, Rowe L, Nembhard IM, Krumholz HM (May 2009).
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Best Care at Lower Cost: The Path to Continuously Learning Health Care in America
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In many cases, these institutions are engaged in research activities such as the
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Minnesota Learning Health System Mentored Career Development Program (MN-LHS),
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Abernethy AP, Ahmad A, Zafar SY, Wheeler JL, Reese JB, Lyerly HK (June 2010).
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Secure - Validated access and use safeguards for digitally-mediated activities
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Comparative effectiveness research determines the most effective treatments.
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Engaged - Informed engagement, options, and choices for those who are served
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Surveillance monitors data for disease outbreaks or other treatment issues.
1996: 2692:"Oversight on the borderline: Quality improvement and pragmatic research" 2615: 1068: 524:
Transforming the Generation and Adoption of PCOR into Practice (T-GAPP),
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The idea was first conceptualized in a 2006 workshop organized by the US
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Easterling D, Perry AC, Woodside R, Patel T, Gesell SB (April 2022).
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Crossing the Quality Chasm: A New Health System for the 21st Century
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Positive deviance finds examples of better care against a benchmark.
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Equitable - Parity in opportunity to attain desired health and goals
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Efficient - Optimal outcomes for accessible, non-wasteful resources
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Cohort identification looks for patients with similar attributes.
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generation, application, and improvement of scientific knowledge;
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Menear M, Blanchette MA, Demers-Payette O, Roy D (August 2019).
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Ye Y, Wamukoya M, Ezeh A, Emina JB, Sankoh O (September 2012).
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Intelligent assistance use data to automate routine processes.
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Forrest CB, Chesley FD, Tregear ML, Mistry KB (August 2018).
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Safe - Tested and up-to-date protocols to protect from harm
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Demakis JG, McQueen L, Kizer KW, Feussner JR (June 2000).
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Healthcare: the Journal of Delivery Science and Innovation
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Nash DM, Bhimani Z, Rayner J, Zwarenstein M (June 2021).
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Forrest CB, Margolis P, Seid M, Colletti RB (July 2014).
1530:"A framework for value-creating learning health systems" 353:
A large proportion of LHS research relies on the use of
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Electronic health data as a central component to the LHS
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Trillium Healthcare Institute for Better Health (Canada)
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Journal of the American Medical Informatics Association
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Etheredge LM (2007). "A rapid-learning health system".
299: 1383:"PEDSnet: a National Pediatric Learning Health System" 902:. Washington DC: National Academy Press. p. 360. 547:
via their Delivery System Science Fellowship program,
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University of Alabama at Birmingham School of Medicine
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Negative deviance finds examples of sub-optimal care.
1100:"A science of collaborative learning health systems" 461:The LHS Centers of Excellence funded in 2018 were: 1010:. Washington, D.C.: The National Academies Press. 685:Grossmann C, Powers B, McGinnis JM, eds. (2011). 2504:"CATALyST K12 - Early Career Scientist Training" 680: 678: 2029: 2027: 1295:. 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National Academies Press (US). 384:Clinical decision support systems 42:(NAM)), building on ideas around 1214:10.1097/00005650-200006001-00003 2640:from the original on 2020-02-19 2589:from the original on 2021-09-09 2560:from the original on 2020-02-19 2535:from the original on 2020-02-19 2510:from the original on 2020-03-20 2485:from the original on 2021-05-22 2426:from the original on 2021-06-23 2013:from the original on 2021-06-17 1228:from the original on 2022-12-07 711:from the original on 2022-01-20 664:from the original on 2020-11-26 336:Learning Health Systems Journal 173:Baylor Scott & White Health 2134:Science Translational Medicine 896:Institute of Medicine (2001). 581:Robert Wood Johnson Foundation 400:Synergy with other disciplines 275:Wake Forest School of Medicine 1: 573:National Institutes of Health 567:Funding and financial support 2146:10.1126/scitranslmed.3001456 2102:10.1097/MLR.0b013e3181db53a4 1991:. Blackwell Publishing Ltd. 1436:Journal of Clinical Oncology 535:, San Francisco, California. 196:Denver Health Medical Center 40:National Academy of Medicine 2758:10.1016/j.hjdsi.2020.100462 1399:10.1136/amiajnl-2014-002743 1248:Annals of Internal Medicine 814:Annals of Internal Medicine 231:Feinberg School of Medicine 2816: 2661:The Hastings Center Report 1755:10.1186/s12875-021-01483-z 976:The Hastings Center Report 526:University of Pennsylvania 514:, Los Angeles, California. 16:Type of health care system 2663:. Spec No (s1): S16–S27. 2240:10.1377/hlthaff.2012.1350 2052:10.1136/bmjqs-2015-004278 1663:10.1016/j.jbi.2016.09.018 1547:10.1186/s12961-019-0477-3 953:10.1377/hlthaff.26.2.w107 874:10.1377/hlthaff.2014.0127 429:Organizational Psychology 355:electronic health records 308:Learning Health Community 211:Indiana University Health 2800:Decision support systems 2708:10.1177/1740774515597682 2372:Health Services Research 2334:10.1186/1471-2458-12-741 2040:BMJ Quality & Safety 1793:JMIR Medical Informatics 1448:10.1200/JCO.2010.28.5478 2384:10.1111/1475-6773.12751 2272:Learning Health Systems 1942:Learning Health Systems 1893:Learning Health Systems 1844:Learning Health Systems 1585:Learning Health Systems 1350:10.13063/2327-9214.1122 1153:Learning Health Systems 1104:Learning Health Systems 467:Northwestern University 439:Implementation Research 321:Health Research Network 317:Learning Health Network 201:Geisinger Health System 53:Learning Health Systems 44:evidence-based medicine 20:Learning health systems 2579:"PACT-K12 | OHSU" 2194:10.1186/1748-5908-4-25 2181:Implementation Science 1498:10.14236/jhi.v25i2.996 1208:(6 Suppl 1): I17–I25. 782:10.14236/jhi.v25i2.996 595:Ethical considerations 285:Weill Cornell Medicine 77:" for use in research; 1997:10.1002/9780470994702 583:(philanthropic). The 477:Vanderbilt University 36:Institute of Medicine 2608:"Scholars - PEDSnet" 2451:. October 27, 2017. 1069:10.1056/NEJMp2103872 486:, Indianapolis, Ind. 1742:BMC Family Practice 978:. Spec No: S16–27. 614:Real World Evidence 579:(federal); and the 541:funding opportunity 528:, Philadelphia, PA. 500:, Portland, Oregon. 434:Quality Improvement 177:Care South Carolina 146:Adoption and spread 2795:Health informatics 2634:www.uclahealth.org 2284:10.1002/lrh2.10025 2095:(6 Suppl): S32–8. 1954:10.1002/lrh2.10189 1905:10.1002/lrh2.10332 1856:10.1002/lrh2.10287 1597:10.1002/lrh2.10315 1165:10.1002/lrh2.10255 1116:10.1002/lrh2.10278 694:. Washington, DC. 507:, Philadelphia, PA 479:, Nashville, Tenn. 410:Health Informatics 319:and Epic System's 236:NYU Langone Health 28:healthcare systems 2321:BMC Public Health 1442:(27): 4268–4274. 1310:978-0-309-15126-9 1025:978-0-309-26073-2 917:978-0-309-46561-8 701:978-0-309-15416-1 649:978-0-309-10300-8 561:experience report 259:Michigan Medicine 216:Kaiser Permanente 89:places to work.” 26:) are health and 2807: 2779: 2778: 2760: 2736: 2730: 2729: 2719: 2687: 2681: 2680: 2669:10.1002/hast.134 2655: 2649: 2648: 2646: 2645: 2626: 2620: 2619: 2614:. Archived from 2604: 2598: 2597: 2595: 2594: 2575: 2569: 2568: 2566: 2565: 2550: 2544: 2543: 2541: 2540: 2525: 2519: 2518: 2516: 2515: 2500: 2494: 2493: 2491: 2490: 2471: 2465: 2464: 2462: 2460: 2441: 2435: 2434: 2432: 2431: 2412: 2406: 2405: 2395: 2378:(4): 2615–2632. 2363: 2357: 2356: 2346: 2336: 2312: 2306: 2305: 2295: 2263: 2252: 2251: 2223: 2217: 2216: 2206: 2196: 2172: 2166: 2165: 2129: 2123: 2122: 2104: 2080: 2074: 2073: 2063: 2031: 2022: 2021: 2019: 2018: 1982: 1976: 1975: 1965: 1933: 1927: 1926: 1916: 1884: 1878: 1877: 1867: 1835: 1829: 1828: 1818: 1808: 1784: 1778: 1777: 1767: 1757: 1733: 1727: 1726: 1716: 1706: 1682: 1676: 1675: 1665: 1641: 1635: 1634: 1616: 1576: 1570: 1569: 1559: 1549: 1525: 1519: 1518: 1500: 1476: 1470: 1469: 1459: 1427: 1421: 1420: 1410: 1378: 1372: 1371: 1361: 1329: 1323: 1322: 1286: 1280: 1279: 1243: 1237: 1236: 1234: 1233: 1193: 1187: 1186: 1176: 1144: 1138: 1137: 1127: 1095: 1089: 1088: 1052: 1046: 1045: 1002: 996: 995: 984:10.1002/hast.134 971: 965: 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Index

healthcare systems
Institute of Medicine
National Academy of Medicine
evidence-based medicine
Wiley
big data
AHRQ defines
Atrium Health
Advocate Aurora
Baylor Scott & White Health
Cleveland Clinic
Children’s Hospital of Philadelphia
Cincinnati Children's Hospital Medical Center
Denver Health Medical Center
Geisinger Health System
HealthPartners
Indiana University Health
Kaiser Permanente
Mayo Clinic
Medstar Health
Feinberg School of Medicine
NYU Langone Health
SSM Health
Sutter Health
University of Alabama at Birmingham School of Medicine
Michigan Medicine
Vanderbilt University Medical Center
Wake Forest School of Medicine
Washington University School of Medicine
Weill Cornell Medicine

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