Analyze patient feedback for care quality issues in minutes

Upload or paste your patient feedback → uncover recurring care quality issues, staff concerns, and experience gaps across your facility

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Paste a URL or customer feedback text. No signup required.

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Example insights from patient feedback

Long Wait Times Undermining Trust
"I waited over two hours before anyone even acknowledged me. By the time I saw the doctor, I'd already lost confidence in the whole visit."
Communication Gaps Between Care Teams
"Every nurse who came in asked me the same questions. It felt like no one was talking to each other about my case."
Discharge Instructions Unclear or Incomplete
"I had no idea what medications I was supposed to take or when. I had to call back twice just to get basic instructions."
Patients Feeling Dismissed or Unheard
"When I mentioned my pain level, the doctor just nodded and moved on. I didn't feel like my concerns were taken seriously at all."

What teams usually miss

Low-volume complaints that signal systemic failure

Issues mentioned by only a handful of patients are often dismissed, even when they point to serious gaps in care protocols or staff training.

Emotional language that reveals severity beyond star ratings

A patient leaving a 3-star review while describing fear, confusion, or neglect represents a far deeper quality issue than the score alone suggests.

Department-specific patterns buried in aggregate data

When feedback is averaged across an entire facility, quality issues concentrated in a single ward, shift, or care team become invisible to administrators.

Decisions you can make from this

Prioritize staff communication training in departments where care coordination complaints appear most frequently in patient feedback.

Redesign discharge processes and printed materials after identifying that unclear post-care instructions are a top driver of follow-up calls and readmissions.

Adjust scheduling and triage workflows in specific high-complaint time windows where wait time frustration is consistently mentioned by patients.

Flag specific care teams or practitioners for coaching and support when patient feedback reveals repeated themes of feeling dismissed or unheard during consultations.

How it works

  1. 1Upload or paste your data
  2. 2AI groups similar feedback into themes
  3. 3Each insight is backed by real user quotes

Analyze your patient feedback and surface care quality issues faster

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