Patient experience data moved from measurement to redesign at Trillium Health Partners
Learning health systems are often described in theory as places where data continuously feed improvement. This manuscript turns that idea into a working hospital example. At Trillium Health Partners, patient experience data were not treated as a retrospective scorecard. They were used as an active design tool for a new model of care, with patients and families helping shape how medicine units respond to overcrowding, delay, and the emotional weight of hospitalization.
The project combined patient experience survey data, interviews with patients and families, and naturalistic walk-throughs of medicine units. That mix matters because standard metrics alone rarely capture the bedside realities that determine whether people feel safe, respected, and informed. In this case, the work was designed to surface both the visible stresses of inpatient care and the quieter losses that accumulate when systems are stretched: unanswered fears, delayed transport, crowded rooms, poor wayfinding, and the erosion of privacy.
What patients said about care under strain
The survey reached 390 patients, while 19 patients and family members took part in interviews. Their accounts did not describe isolated complaints. They described experience inside a health care system under pressure, where staff compassion remained visible even as basic supports became uneven.
Patients consistently appreciated nurses’ compassion. That finding is clinically important because relational care still anchors trust during hospitalization, especially when illness, uncertainty, and dependence are acute. Yet emotional support was inconsistent. Patients described fears, worries, and anxiety that were not always addressed, particularly when staff were overstretched or changed frequently. In practical terms, transient staffing can fragment reassurance, interrupt continuity, and leave patients carrying distress alone at the very time they need orientation and calm.
Long waits were another recurring theme. Delays in transport, procedures, and even basic care needs were experienced not merely as inconvenience but as a threat to dignity. Waiting in hospital is rarely neutral. For a patient in pain, short of breath, confused, or frightened, time becomes part of the symptom burden. Prolonged waiting also magnifies uncertainty, and uncertainty often amplifies distress more than the procedure itself.
One finding stood out in particular: the emotional climate of care was shaped as much by workflow as by interpersonal skill. Compassion from frontline staff could not fully offset the anxiety created when needed support arrived late, inconsistently, or not at all. The result is a clear bedside consequence. Patients may remember kindness, but they also remember the moments when the system made them feel invisible.
Unit design, crowding, and the physical environment also shaped dignity
The walk-throughs added another layer of evidence. They documented how crowding, noise, lighting, and wayfinding influenced comfort and privacy across the medicine units. These are not cosmetic concerns. Physical environment alters how patients rest, speak, process information, and recover. Noise can disrupt sleep and raise irritability. Poor lighting can worsen confusion and make nighttime care feel disorienting. Weak wayfinding can make even routine movement through a unit feel unsafe or confusing.
In crowded settings, privacy becomes fragile. Conversations may be overheard, anxious families may feel exposed, and routine care can happen in spaces that do not adequately protect dignity. When a hospital unit is designed around throughput alone, the emotional cost is pushed onto patients and families. This project treated the environment as part of care delivery rather than background scenery.
The three-step analytic process strengthened that conclusion. First, the team synthesized data at the unit level. Then the findings were compared across units to identify recurring themes. Finally, the information was integrated so survey findings, interviews, and walk-through observations could inform the redesign together. That approach is important because each data stream catches something different. Surveys can show breadth, interviews can reveal meaning, and walk-throughs can expose how the built environment shapes experience in real time.
Co-design turned patient feedback into a system learning tool
The central contribution of this manuscript is not only that patients were asked for input. It is that their input was used to help design a new model of care. The redesign was built to respond to both system demands and the lived realities of patients and families, which is exactly where a learning health system should operate. When patient experience data are embedded early in redesign work, they can steer decisions before new workflows become fixed and hard to change.
This creates a different form of accountability. Hospitals often collect patient experience data after discharge, when the opportunity to change the immediate care environment has already passed. Here, the data functioned as a feedback asset inside the redesign process itself. Staff and leaders were able to see where the system was supporting patients and where it was adding avoidable stress. Emotional support, wait times, environmental conditions, and privacy all became operational issues rather than abstract concerns.
The manuscript also points to a broader cultural shift. Patients and families were not positioned as passive recipients of care quality initiatives. They were partners in identifying what mattered most in daily hospital life. That kind of co-design can be demanding, because it requires clinicians and administrators to accept that operational strain and patient dignity are inseparable. But it also makes redesign more credible. Solutions built from lived experience are less likely to miss the conditions that actually drive dissatisfaction, anxiety, and mistrust.
What emerges from this work is a concrete model for how hospitals can move from collecting patient feedback to using it as a continuous system signal. The study does not claim that a single survey or interview set can solve the pressures facing inpatient medicine. It does show that patient experience data can be structured, interpreted, and returned to teams in a way that directly informs redesign. For Trillium Health Partners, the next step is already underway: findings from the survey, interviews, and walk-throughs are shaping a new model of care that is evidence-informed and co-designed with patients and families.