The target of the intervention was Conitec, Brazil’s National Committee for Health Technology Incorporation, the body that advises on which technologies enter the unified public health system known as SUS. Conitec’s public consultations are a formal channel through which patients and citizens can voice their perspectives before reimbursement and coverage decisions are made. International bodies, including the International Network of Agencies for Health Technology Assessment, treat such participation as essential to legitimate, equitable, patient-centered policy. Yet the researchers found that meaningful engagement was constrained by three intertwined barriers: low health literacy, reliance on technical language in consultation materials, and a shortage of accessible educational content that would explain what health technology assessment, or HTA, actually is. The team framed these barriers as a structural weakness, because a learning health system, one that continuously improves by cycling evidence into practice, requires an informed public as a core enabling condition rather than an optional courtesy.

To address the problem, the researchers turned to knowledge translation, the discipline concerned with moving evidence from those who produce it to those who need to use it. They organized their project around the knowledge-to-action framework, a widely used model that treats implementation as a structured process rather than a single act of communication. The framework guided the work through seven phases between 2022 and 2025, beginning with the identification of priority topics and ending with the deployment and evaluation of the finished products. Crucially, the team did not decide on its own what the public needed to learn. Their first substantive step was a needs assessment survey of patient and civil society representatives, the people with the most direct stake in HTA decisions and the clearest sense of what their communities find opaque.

That survey, completed by sixteen participants, generated five thematic areas that became the backbone of the curriculum. From these, the team built ten educational video modules, each adapted from technical HTA content into plain language. The adaptation process was deliberately conservative in its epistemics: content was developed by researchers, reviewed internally by HTA specialists, and then subjected to a structured pilot evaluation with a prespecified acceptability threshold of 70 percent across five domains, including clarity, relevance, and usefulness. Setting a numeric threshold in advance matters, because it converted what is often a vague aspiration, making content comprehensible, into a testable criterion. The pilot collected 430 responses, and the acceptance rates across the five domains ranged from 75 to 97 percent, clearing the bar in every case.

The most scientifically interesting part of the study is what happened next. User feedback did not simply confirm the content; it reshaped it. Respondents’ comments directly triggered revisions, including the addition of Brazilian Sign Language interpretation, the creation of a glossary, and adjustments to the format of the materials. In other words, the intervention was built on a feedback loop in which the intended audience functioned as a source of validation and improvement rather than a passive recipient. This iterative design mirrors the logic of the learning health systems the project is meant to support: the educational platform itself learned from its users between iterations. The authors present this cycle of development, evaluation, and revision as the operational core of their knowledge translation approach, distinguishing it from one-off awareness campaigns that produce content once and hope it lands.

The delivery infrastructure consisted of two complementary channels. The first was a free, gamified virtual learning environment hosting the animated videos and interactive activities, an architecture chosen to lower the motivational cost of learning about an unfamiliar technical field. The second was a multichannel digital outreach strategy spanning social media platforms. The virtual learning environment recorded 4,355 accesses over the study period, with module completion rates ranging from 11.1 to 42.9 percent. Those completion figures are candidly reported and fall well short of universal engagement, a reminder that access to an educational resource is not the same as sustained use of it. Even so, several thousand citizens engaged with material that previously existed in no public form at all, and every piece of content remained freely accessible after the project’s funding ended, extending its useful life beyond the grant period.

The social media results, by contrast, show how sharply audience growth can respond to investment. The project’s Instagram account grew by 1,200 percent, from 576 to 7,514 followers, following a paid promotional campaign, with individual reels reaching as many as 47,000 views. LinkedIn accumulated 1,778 followers, and the project’s YouTube channel drew more than 5,000 views. The contrast between organic and paid reach is itself a finding with policy implications: in competitive digital ecosystems, technically valuable public-interest content does not automatically find its audience. For health agencies and research institutes operating in low- and middle-income countries, the lesson is that dissemination budgets are not decorative extras but structural components of participation infrastructure. A consultation process can only be as inclusive as the number of people who know it exists and understand what is being asked of them.

The study was conducted under Brazilian regulatory standards for human subjects research, approved by the Research Ethics Committee of the National Institute of Cardiology, with informed consent obtained from all participants, and it was funded by Brazil’s National Council for Scientific and Technological Development with no funder involvement in design, analysis, or publication decisions. These procedural details reinforce the study’s central claim, which is deliberately modest and replicable at once. The authors do not claim that the project transformed Conitec’s consultations or measured a downstream change in actual public submissions. What they demonstrate is feasibility and acceptability: that a knowledge-translation-informed intervention can be built, tested against prespecified criteria, refined through documented user feedback, and distributed at scale within a public institution’s constraints. Acceptance rates of 75 to 97 percent across 430 evaluators, combined with a twelvefold social media expansion, constitute measurable evidence on both counts.

The broader significance lies in the argument the data are marshaled to support. Patient and public participation in HTA is frequently endorsed in principle and underdelivered in practice, particularly in low- and middle-income countries where consultation infrastructure tends to be thin. The Participa SUS-ATS results suggest a concrete, transferable template: survey the affected community, adapt technical content into validated plain-language modules, deploy through a free gamified platform alongside targeted digital outreach, and build revision cycles from user feedback into the design from the start. Because the knowledge-to-action framework is generic and the materials are openly accessible, the model could be adapted by other national HTA agencies without starting from zero. If participation is indeed a structural enabling condition for learning health systems, then the unglamorous work of making a committee’s work comprehensible, one animated video and one glossary at a time, may turn out to be among the most consequential investments a health system can make. The Brazilian team has provided the first carefully documented demonstration that this work is feasible, acceptable to its audience, and capable of finding that audience when given the means.

Subject of Research: Knowledge translation intervention to strengthen patient and public participation in health technology assessment in Brazil

Article Title: Operationalizing knowledge translation to strengthen patient and public participation in health technology assessment: a multicomponent intervention to support enabling environments for learning health systems in Brazil

Article References: Braga, A., Dias, Q., Spada, D., Evangelista, J. R., Correia, M., & Santos, M. (2026). Operationalizing knowledge translation to strengthen patient and public participation in health technology assessment: a multicomponent intervention to support enabling environments for learning health systems in Brazil. Health Research Policy and Systems. https://doi.org/10.1186/s12961-026-01530-0

Image Credits: AI Generated

DOI: 10.1186/s12961-026-01530-0

Keywords: knowledge translation, health technology assessment, patient participation, public engagement, learning health systems, Brazil, Conitec, health literacy, capacity building, health policy, virtual learning environment, low- and middle-income countries

The inquiry into healthcare organizations’ readiness is timely, especially as the industry grapples with the challenges of integrating advanced technologies and methodologies into existing structures. A learning health system aims to break down silos, facilitating a smooth interplay between clinical practice and research efforts. Such integration could potentially catalyze improvements in patient outcomes by ensuring that healthcare providers are consistently applying the latest scientific evidence in their decision-making processes.

Utilizing the Delphi method, which harnesses the collective expertise of a panel of experts, the researchers crafted a rigorous questionnaire designed to pinpoint the specific elements that contribute to or hinder an organization’s readiness to implement a learning health system. This method is particularly suited for this kind of research as it allows for anonymous feedback and multiple rounds of evaluation. The iterative process helps to refine and focus the questions, ensuring they effectively measure the constructs of interest.

Healthcare organizations often face significant barriers to becoming learning health systems, including entrenched institutional practices, limited resources, and a cultural resistance to change. By systematically assessing readiness through validated tools, like the questionnaire developed in this study, organizations can better identify their strengths and weaknesses. This self-assessment process will enable healthcare leaders to develop actionable strategies that promote a culture of continuous learning and adaptation, which is essential in today’s rapidly evolving healthcare landscape.

The research emphasizes the role of leadership in fostering an environment conducive to learning and improvement. Visionary leaders who recognize the necessity of integrating continuous learning into the organization’s core mission can motivate their teams to embrace change. This shift is crucial not only for enhancing organizational readiness but also for cultivating an overall commitment to quality in patient care.

Furthermore, the study highlights the importance of collaboration among diverse stakeholders within healthcare settings. Aligning goals across various departments and facilitating communication can create a unified approach to implementing a learning health system. By working together, interdisciplinary teams can share insights and leverage their collective expertise to solve complex problems that arise in clinical practice.

As organizations assess their readiness to adopt LHS principles, the study indicates that measuring existing capabilities and identifying gaps will be critical. Factors such as technology readiness, workforce skill sets, and organizational culture must be evaluated thoroughly. Many healthcare organizations may possess the technological infrastructure necessary for a learning health system but lack the requisite human resources skilled in data analysis and interpretation.

The foundational premise of a learning health system rests on the idea that every patient interaction can serve as a learning opportunity. As healthcare providers document patient outcomes and experiences, this data can be fed back into the system to inform future practices. Thus, leveraging patient data effectively requires a commitment to not only collecting information but also analyzing and utilizing it to drive improvements in care.

Another essential aspect that the research touches upon is patient engagement in the learning health system. Empowering patients to participate actively in their healthcare decisions can yield more nuanced insights into patient needs and preferences. This engagement can facilitate a feedback loop where both patients and healthcare providers contribute to a continuously evolving healthcare environment that meets the population’s needs.

The implications of this research extend well beyond the academic realm; they resonate with policymakers, healthcare administrators, and practitioners. As the healthcare landscape shifts toward value-based care models, understanding and implementing learning health systems will become more critical for organizations seeking to deliver high-quality care while optimizing resources.

In conclusion, Giroux and her colleagues have laid a critical groundwork for assessing healthcare organizations’ readiness to implement a learning health system. Their validation of the questionnaire provides a robust tool for health leaders to evaluate their current state and identify actionable pathways forward. As healthcare continues to evolve, the insights emanating from this research could very well inspire a paradigm shift conducive to long-term organizational success, improved patient outcomes, and a steadfast commitment to the principles of learning and adaptation.

This study encapsulates the essence of progress in healthcare, emphasizing that a commitment to continuous learning is not merely an option but a necessity. By harnessing the power of data and collaboration, organizations can foster an environment that prioritizes both innovation and quality care, ultimately benefiting patients and the broader health ecosystem.

Through this validation study, Giroux, Bush, and Alkhaldi are not just advocating for change; they are providing a roadmap that healthcare organizations might follow to effectively embrace the learning health system structure tailored for the modern era. This endeavor is sure to resonate within the healthcare community, prompting discussions that could energize a collective push toward a more effective, evidence-based future in healthcare.

Subject of Research: Healthcare organizations’ readiness for learning health systems.

Article Title: Assessing healthcare organizations’ readiness to implement a learning health system: questionnaire validation using a Delphi method.

Article References:

Giroux, C.M., Bush, P.L., Alkhaldi, M. et al. Assessing healthcare organizations’ readiness to implement a learning health system: questionnaire validation using a Delphi method.
BMC Health Serv Res 25, 1626 (2025). https://doi.org/10.1186/s12913-025-13636-2

Image Credits: AI Generated

DOI: https://doi.org/10.1186/s12913-025-13636-2

Keywords: learning health system, healthcare readiness, Delphi method, patient engagement, organizational change

The learning health system is defined as an organizational framework that continuously integrates data and insights gleaned from patient care into the improvement of healthcare practices and outcomes. This model moves away from traditional healthcare delivery, which often operates in silos, and instead advocates for a culture of continuous learning and adaptation. By systematically leveraging patient data, health organizations can potentially provide more personalized care and make informed decisions that ultimately enhance patient outcomes.

Preparing health organizations for the transition to a learning health system involves several complex factors. The team conducted an extensive scoping review, analyzing existing literature on the preparedness of healthcare organizations. They focused on identifying the key determinants that influence readiness, such as leadership support, organizational culture, infrastructure, and workforce training. Their findings highlight the multifaceted nature of adapting to new models of care, which necessitates a comprehensive understanding of both the internal and external environments affecting healthcare organizations.

One of the primary aspects explored by the researchers was the importance of leadership in facilitating the transition to a learning health system. Strong and committed leaders play a vital role in fostering a culture that emphasizes learning, innovation, and patient-centered care. Leadership is instrumental in allocating necessary resources, advocating for change, and ensuring staff engagement throughout the process. This review underscores that without a supportive leadership network, healthcare organizations may struggle to implement learning initiatives effectively.

Another significant factor identified is the role of organizational culture in shaping readiness for implementing a learning health system. A culture that embraces innovation, collaboration, and open communication can significantly enhance the ability of healthcare organizations to adapt to change. Conversely, an ingrained resistance to change can serve as a barrier to progress. The team advocates for strategies that cultivate a positive organizational culture, which aligns with the principles of a learning health system.

Infrastructure is also a cornerstone of readiness. Health organizations must assess their current technological resources and capabilities to support a learning health system. This includes establishing robust data management systems that can collect, analyze, and interpret patient data efficiently. Moreover, as data privacy and security are paramount in healthcare, organizations need to ensure that their infrastructure adheres to regulatory standards while enabling innovative practices.

Workforce training and development emerge as crucial elements in the transition to a learning health system. The researchers pointed out that healthcare professionals must be equipped with the skills to analyze data, engage in collaborative decision-making, and apply evidence-based practices. Continuous education and professional development should be an integral part of the readiness assessment, ensuring that staff remains competent and confident in navigating the evolving healthcare landscape.

The scoping review also sheds light on the significance of patient involvement in the learning health system model. Engaging patients as active partners in their own care can lead to improved health outcomes and enhanced patient satisfaction. The researchers emphasize the need for healthcare organizations to develop strategies that facilitate patient participation in the decision-making process, as this not only empowers patients but also enriches the data ecosystem for learning.

Furthermore, the study highlights the challenges that health organizations may face in the transition process. Factors such as limited financial resources, bureaucratic red tape, and the existing legacy systems could impede progress. Awareness of these obstacles is crucial for stakeholders aiming to implement a learning health system, as it allows them to devise strategies for overcoming these challenges.

In conclusion, Giroux and colleagues’ scoping review serves as a timely reminder of the importance of assessing readiness for implementing a learning health system in healthcare organizations. The intersection of leadership, culture, infrastructure, workforce training, and patient engagement provides a comprehensive framework for organizations to evaluate their preparedness. As the healthcare ecosystem continues to evolve, understanding these dynamics will be essential for fostering innovative practices that improve patient care and outcomes.

Healthcare stakeholders are encouraged to take heed of the findings from this research to ensure that their organizations are adequately prepared for the transition to a learning health system. By doing so, they can not only enhance organizational effectiveness but also ultimately contribute to a more resilient and responsive healthcare system.

Subject of Research: Health organization readiness for implementing a learning health system.

Article Title: Evaluating health organization readiness for implementing a learning health system: a scoping review.

Article References:

Giroux, C.M., Thomas, A., Bussières, A. et al. Evaluating health organization readiness for implementing a learning health system: a scoping review.
Health Res Policy Sys (2025). https://doi.org/10.1186/s12961-025-01432-7

Image Credits: AI Generated

DOI: 10.1186/s12961-025-01432-7

Keywords: Learning health system, health organization readiness, organizational culture, leadership, patient engagement, workforce training, data management.