Patient Satisfaction Survey Analysis Agent
Collects, analyzes, and summarizes patient satisfaction survey responses to surface actionable service trends across medical practices and hospital departments.
Practice managers collect patient satisfaction surveys through multiple channels — post-visit emails, in-office tablets, phone follow-ups — but rarely have time to read every open-ended comment or spot recurring themes across hundreds of responses, so real service issues go unnoticed until they show up as online reviews or patient attrition
Manually tabulating scores by provider, department, or visit type in a spreadsheet takes hours and produces stale, backward-looking reports
This agent aggregates survey responses from every channel, applies sentiment and theme analysis to open-ended feedback, and automatically routes urgent negative feedback to management for same-day follow-up
It tracks satisfaction trends over time by provider, location, and visit type, and highlights the specific operational drivers behind score changes, such as wait times or billing confusion
The agent ingests survey responses from email, tablet, SMS, and phone-transcribed sources, normalizing scores and free-text comments into a unified dataset. It applies natural language processing to classify open-ended comments by theme — wait time, staff courtesy, billing, cleanliness, care quality — and scores sentiment on each. Trends are aggregated by provider, department, and time period, and any response scoring below a configured threshold or flagged as urgent (mentions of safety, billing disputes, or explicit complaints) is routed immediately to the practice manager for follow-up. A recurring digest summarizes overall satisfaction trends, top themes driving scores up or down, and specific comments worth reviewing.
Aggregate Survey Responses
- Pull responses from email, tablet, SMS, and phone-transcribed surveys
- Normalize scores and free-text comments into one dataset
- Match responses to provider, department, and visit type
Analyze Sentiment and Themes
- Classify open-ended comments by theme using natural language processing
- Score sentiment on each response
- Identify recurring drivers behind score changes
Escalate Urgent Feedback
- Flag responses below the satisfaction threshold or mentioning safety or billing disputes
- Route flagged feedback to the practice manager immediately
- Track follow-up resolution status
Deliver Trend Reporting
- Generate a recurring satisfaction digest by provider and department
- Highlight top positive and negative themes
- Compare trends against prior periods