The vision of the learning health system (LHS), conceptualized 15 years ago, is for the rapid generation, use, and spread of high-quality evidence that yields better health experiences, outcomes, efficiencies, and equity in everyday practice settings across communities. However, despite the emergence of many useful LHS frameworks and examples to guide adoption, large gaps remain in the speed and consistency with which evidence is generated and used across the range of settings from the bedside to the policy table. Gaps in progress are not surprising, however, given the tensions that predictably arise when key stakeholders-researchers, health systems, and funders-comingle in these efforts. This commentary examines eight core tensions that naturally arise and offers practical actions that stakeholders can take to address these tensions and speed LHS adoption. The urgency for attenuating these tensions and accelerating health system improvements has never been higher. Timeliness, rigor, and prioritization can be aligned across stakeholders, but only if all partners are intentional about the operational and cultural challenges that exist.collaboration, health care economics and organizations, health system, learning health system The sluggishness and inconsistency with which high-quality evidence is created, taken up, and spread to achieve benefit across populations continue to frustrate policymakers, government payers, clinicians, and patients. 1 COVID-19 has shone a bright spotlight on the evidence gaps occurring from the bedside to the policy table and the need for locally meaningful, high-value evidence under very short timelines. 2 The learning health system (LHS), conceived in 2007, 3,4 envisions a union of care delivery and research enterprises with a goal of rapidly generating and using evidence to improve health, care experiences, efficiencies, and equity within and across populations. 5 Many useful LHS conceptual frameworks, lexicons, logic models, taxonomies, and examples 3,[5][6][7][8][9][10][11][12][13] have emerged, all built on learning cycles where data are generated in usual care settings, knowledge is rapidly generated from these data and then widely used, refined, and scaled to advance policy and practice. 10,12,14 While there is scant disagreement with the LHS ideal, a recent Global Evidence Commission report 2 signals that the LHS vision remains unfulfilled across the world from its inception 15 years ago. Health research remains largely disconnected from health systems; deficiencies persist in the creation of intermediary evidence generation, implementation, and learning supports. While disappointing, these conclusions are not surprising given the real-world tensions that often impede-singly or in combination-the rapid learning process. Recently conducted scoping and other reviews have articulated the range of organizational and sociocultural complexities and challenges 15-18 that may be eased or aggravated by financial, technical, or operational barriers to change.Because health systems are not...