HCSRN 2026 puts learning health systems and embedded research at center stage
The 2026 annual conference of the Health Care Systems Research Network landed in Dallas with a simple but consequential premise: health systems can generate evidence while they deliver care, and that evidence can feed back into better care delivery. HCSRN brings together 18 learning health systems with integrated care delivery and embedded research units, a structure designed to connect population-based research with the realities of day-to-day clinical practice. In a field often split between academic inquiry and operational execution, the network is built to collapse that divide.
This year’s theme, “Scaling Learning Health Systems: Data-Driven Pathways to Better Outcomes,” signals where the conversation is headed. The emphasis is not on isolated studies alone, but on whether data can be organized, interpreted, and operationalized at a network level in ways that improve health and health care for all. The conference functions as a venue for research teams from member institutions to share project findings, compare methods, and build collaborations that can move beyond single-site insight.
The abstracts presented in Dallas are published in a supplement of the Journal of Patient-Centered Research and Reviews, which serves as the journal of record for HCSRN’s annual conference proceedings. That publication role matters because it turns a meeting program into a citable scientific record. The supplement preserves the work presented across the network and gives it a durable home for investigators, clinicians, and health system leaders who want to track how learning health systems are being studied in practice.
Learning health systems rely on continuous iteration. Data emerge from routine care, researchers analyze those data, and findings are pushed back toward clinicians and administrators who can adjust practice, policy, or workflow. The HCSRN model is designed around that loop, and the annual conference is where the loop becomes visible. Abstracts are not simply conference filler; they are snapshots of how member institutions are trying to measure care delivery, test ideas, and interpret outcomes in complex real-world settings.
The conference theme also points to a long-standing challenge in health services research: scaling what works without stripping away the local context that made it work in the first place. A method that succeeds in one integrated delivery system may need adaptation before it can be used elsewhere, even within the same network. Data-driven pathways are attractive because they promise consistency, but the strength of a learning health system lies in its ability to learn from variation rather than erase it. In that sense, the network’s annual meeting is both a scientific exchange and a governance exercise.
Dallas served as the venue for that exchange, but the more important venue is the health system itself. The 18 member learning health systems are not abstract institutions; they are the settings where embedded research units can observe patterns across large patient populations, identify operational gaps, and evaluate whether interventions are taking hold. Because the research units are embedded, the questions being posed are likely to be closely tied to care delivery, patient experience, and population health management rather than detached from them.
The supplement format reinforces that identity. A journal issue dedicated to conference proceedings creates continuity between annual meetings and the broader literature. It also makes it easier for the field to trace how ideas evolve from presentation to publication, and how network members frame the practical problems they are trying to solve. In health services research, that continuity is more than administrative convenience. It is part of how evidence becomes reusable.
The conference theme also reflects a broader shift in clinical research: a move away from viewing data as a retrospective reporting tool and toward treating it as an active ingredient in care redesign. Learning health systems depend on timely access to information, rigorous analysis, and institutional willingness to change course when the evidence supports it. When those elements align, the gap between research and implementation narrows. When they do not, even strong findings can remain trapped in presentation slides and journal pages.
Here, the emphasis is on dissemination through a network with built-in infrastructure for adoption. HCSRN’s member systems and embedded research units offer a pathway for findings to travel faster than they might in more fragmented settings. That is one reason the annual conference remains important: it allows teams to share not only results, but also the operational methods behind those results. In a learning health system, method is part of the intervention.
The abstracts published from HCSRN 2026 will likely be read as a record of where the network is concentrating its scientific energy this year. The conference proceedings do not stand alone as clinical practice guidance, but they do map the questions health systems are asking about quality, outcomes, and population-level improvement. For clinicians and researchers working inside integrated delivery systems, that map can be as valuable as any single result.
What the Dallas meeting makes clear is the network’s continuing focus on translating research into care that can be measured, compared, and improved. The abstract supplement captures that effort in a formal record, while leaving the next question open: how effectively can large, embedded systems turn shared data into changes that reach patients at scale?