ArticleLearning health systems2026
Operationalizing Patient Experience Data as a System Feedback Asset in Learning Health Systems: Learnings From Model of Care Redesign at Trillium Health Partners.
Article in Learning health systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Learning Health Systems (LHS) offer a pathway to continuously improve care by integrating data and lived experience, yet few practical examples demonstrate how LHS can be operationalized in hospital settings in ways that embed the voices of patients and families. This manuscript describes how patient experience (PX) data are integrated into the design of a new model of care (MoC) that responds to both system demands and the realities of patients and families. Methods: Researchers partnered with clinical leaders to integrate patient and family voices into the design of a new MoC using PX survey data, interviews with patients and families admitted to medicine units, and naturalistic walk-throughs of each medicine unit. Data collection explored care priorities, interactions with staff, physical environments, and reflections on positive and challenging aspects of care. Analysis followed a three-step iterative process: unit-level synthesis, cross-unit thematic comparison, and data integration. Results: In total, 390 patients participated in the PX survey and 19 patients/families participated in interviews. Patients situated their experiences within a health care system under strain, highlighting both strengths and gaps. Many expressed appreciation for nurses' compassion, but emotional support for fears, anxieties, and worries was inconsistent, particularly when staff were overstretched or transient. Long wait times for transport, procedures, or basic care needs were reported as sources of anxiety and diminished dignity. Naturalistic walk-throughs documented how crowding, noise, lighting, and wayfinding shaped patients' comfort and privacy. Conclusions: This work provides a practical example of how an LHS approach can be operationalized by embedding the voices of patients and families into care redesign. Findings from the PX survey and interviews are directly shaping a new MoC at Trillium Health Partners (THP) that is evidence-informed and co-designed with patients and families, providing a practical example of how PX data can drive continuous, system-level learning.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.