Reviews & Reputation

Q: How does the automation decide which reviews need physician approval?

It checks each review's rating and sentiment, then sends anything below a set threshold to the physician before a reply is posted.

Q: Will this work with our existing review and patient contact data?

Yes, it connects to current review platforms and patient contact lists without requiring you to move existing data.

Q: What happens if a review needs a nuanced, human-written reply?

Any draft can be edited or held for staff review before it posts publicly, so unusual situations get human attention.

Q: Is this suited for a small specialty clinic?

Yes, it fits practices of any size and scales naturally as review volume grows.

Keep your clinic's star rating climbing by turning every visit into a timely, personalised review request.

80 hrs

Manual time identified

Companies have mapped

Map This Automation

About This Automation

Reviews and reputation monitoring for a medical clinic means checking multiple platforms and logging new patient feedback. Doing this manually across separate logins causes delays and inconsistent replies, especially for negative reviews requiring physician review.

An automated version detects new reviews as they appear and drafts a consistent reply for each one. It routes sensitive cases for approval, sends follow-up requests to recent patients, and keeps a reputation dashboard current.

Key features:

Monitors review platforms continuously for new patient feedback

Logs every review automatically with rating, date, and source

Drafts response replies matched to the practice's tone

Routes low-rated reviews to the physician for approval before posting

Sends personalized review requests to recent patients automatically

Updates the reputation dashboard with trend and response-time metrics

Data insights How it works Apps used What you get FAQ

Top friction points when done manually

The issues teams report most often with this process

#	Friction point	Companies Report This
1	Reviews slip through separate logins Checking three platforms separately means new reviews are sometimes missed or found late.	80%
2	Inconsistent response tone Replies vary depending on who is available to write them that day.	67%
3	Delayed negative review escalation Low-rated reviews wait for manual routing before the physician can weigh in.	53%
4	Manual tracking sheet errors Copying reviews by hand into a spreadsheet introduces missed entries and typos.	40%
5	Dashboard updates fall behind Reputation metrics are only refreshed occasionally ahead of monthly meetings.	26%

Disclaimer

Automation readiness

How well-suited this process is for automation

Process Pain Score™

8.9/ 10

AI Fit Rating™

8.6/ 10

Automation Lift Index™

8.2/ 10

Hidden Overhead™

6.3/ 10

How The Automation Works

The full workflow, from trigger to completion.

1. New Review Postedtrigger

A new review lands,, or.

2. Aggregate Reviews Across Platforms

The Review Monitoring pulls the new review's rating, text, and source from whichever platform it came from.

3. Log Review

The review is written automatically, tagged with source and rating.

4. Draft Response

The Response Drafting writes a reply matching the practice's tone and scores the review's sentiment.

5. Physician Reviews Flagged Response

Reviews at three stars or below are sent to the physician for a quick approve or edit before anything posts.

6. Post Approved Response

Once approved, or automatically for positive reviews, the reply is posted back.

7. Send Review Request Email

Patients three days past their visit receive a personalized request to leave a review, sent.

8. Update Reputation Dashboard

Rating trend and average response time are refreshed automatically.

Most popular tool stack used

— the complete tool combinations companies use

Google Business Profile

55% of companies

25% of companies

Google Business Profile

15% of companies

Disclaimer

What you get when you map this process

Everything you need to understand, plan, and build your automation.

ROI and business case

What this process costs today and what changes once it's automated.

Launch schedule

What gets built, in what order, and what success looks like once it's live.

Process runbook

How the automation runs day to day, including exceptions and human decision points.

Developer handover pack

Full build spec, logic, and configuration — ready to hand off without a briefing call.

Integration and connections guide

Every tool connection, credential, and data mapping the build needs.

Test and QA plan

128 hrsIdentified

4Mapped

View

Frequently asked questions

Everything you need to know before mapping this process.

What review platforms does this automation monitor?

It watches the practice's most common patient review platforms and flags new feedback as it appears.

How does the automation decide which reviews need physician approval?

Will this work with our existing review and patient contact data?

What happens if a review needs a nuanced, human-written reply?

Is this suited for a small specialty clinic?

View more FAQs

Process pain:8.9/10

Mapped by:4 Companies

Map this to your business to get your exact numbers.

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Page updated 10 August 2026