How to Use AI to Analyze Your Clinic Reviews

Why it matters

Don't let valuable patient feedback go unnoticed. In just 15 minutes, you can uncover what's working, what's not, and where to improve.

See what delights your patients, what causes frustration, and which workflows need attention — all from the reviews you're already collecting.

Who it's for

Practice Managers

Spot trends early and fix issues before they turn into lost visits.

Operations Staff

Understand how delays, wait times, and staff interactions actually affect patient experience.

Clinic Owners

Get the executive summary of patient sentiment without shifting through sheets

How It Works

1

Export recent reviews

Instructions:

Google Reviews: Go to your Business Profile, click Reviews, and use the 3-dot menu to export (or manually copy)
Facebook Reviews: Go to your Page Insights, navigate to Reviews, and copy recent comments

Pro Tip: For the best results, include 20+ recent reviews — even better if they span the last 2–3 months.

2

Paste into Perplexity

Instructions:

Visit perplexity.ai
Paste reviews directly into the chat
Optional: Format by source (e.g., "Google Review: …")

3

Use strategic prompts

Begin with this prompt:

Summarize recurring patient complaints and compliments by theme.

More ways to get started:

What operational improvements would address the most common complaints?

Which staff or services receive the most positive mentions?

Are there seasonal patterns in patient feedback?

What are the top 3 operational issues affecting patient satisfaction?

For more advanced outputs, try these

Market Intelligence Grids ▼

Create a SWOT analysis of our clinic based on recent patient reviews. Focus on common compliments (Strengths), recurring complaints (Weaknesses), emerging opportunities, and potential risks mentioned.

Summarize patient-reported wait times in reviews. Categorize as Short (0–15 min), Medium (15–30 min), or Long (30+ min), and highlight any trends across days or times.

Based on our reviews, compare the patient experience across our locations. Include average sentiment, most common praise, and frequent issues in a side-by-side table.

From recent reviews, identify which services are most frequently mentioned — positively or negatively. Format the output as a checklist with notes on sentiment.

Operational Insights ▼

Patterns related to wait times or billing

Marketing themes based on positive sentiment

Training topics based on common concerns

Generate visual summaries

Look for patterns:

Do patients mention long wait times, unclear billing, or friendly providers often?
Group insights by theme: Front desk, provider interactions, payment, follow-up
Quantify mentions: How often does a certain issue come up?
Use to prioritize fixes: What can be solved in <30 days? What requires leadership escalation?

Turn insights into action

Use top complaints to shape a focused staff training plan
Turn common compliments into high-converting marketing assets
Bring review themes into weekly huddles to align your team
Track month-over-month reputation shifts to measure progress

Level up your analysis with these tips

Look for change over time: Compare monthly reports to track improvement after staffing or process changes.

Split by location: Spot which clinics are leading or lagging on key themes.

Build it into your rhythm: Add insights to weekly dashboards or team standups.

Repurpose patient praise. Use standout quotes in your website, ads, or SMS flows

How to use AI to analyze clinic reviews