Effective programs for improving patient experiences start with meaningful conversations. Statistics from high quality patient feedback mean patients receive the care they need. This platform becomes the pulse of the health system. The changes improve patient experiences, health system ratings and margin!

There’s something irreplaceably human about the stories people tell. Patient stories are powerful because they are tethered to lived healthcare experiences. Discriminative AI can harness that power at scale, helping you know what your patients’ needs truly are.

Caring at scale means tackling and fixing an issue that is frustrating to many patients, not just one. It enables health systems to see the forest and the trees, to address symptoms but not at the expense of ignoring problem root causes.

Despite some improvements in healthcare staffing trends, the ‘great resignation’ is still with us. One result is patients who have a bad experience may seek care elsewhere.

Prioritizing the needs of an individual health system is crucial for the betterment of the system and its patients. What are your patients saying about their experiences at your health system?

This Beryl Institute case study featuring PatientsVoices and Children’s Mercy — “is a true testament of how measuring what really matters to patients can improve the human experience in healthcare.”

In the patient experience realm, it’s easy to feel like you are drowning in “too much data.” Good patient feedback is the key to understanding how to improve patient experiences. So how do you avoid getting overwhelmed?

Continuing to improve patient experiences is critical especially given staffing issues and patient expectations. The wrong type of data makes solving the problem harder.

Patients are ready and willing to share what matters to them, to talk about their experiences from their own perspective. Does your survey allow them to do so?