Monitoring and responding to patient reviews across multiple platforms is time-consuming and fragmented. Teams manually check each site daily, copy details into spreadsheets, and compose individual responses, often missing reviews or responding slowly.
Automated reputation management monitors all review platforms simultaneously, analyzes sentiment, drafts personalized responses, and logs everything in a centralized system. The team focuses only on urgent issues while routine positive reviews receive timely replies automatically.
The full workflow, from trigger to completion.
A new review is detected,, Facebook, or another monitored platform. The automation platform polls these sources every 2 hours or receives a webhook notification.
The automation fetches the review details (platform, customer name, rating, text, date) and stores them as a new review record, creating a unified log.
The automation reads the review text, assigns a sentiment score (positive, neutral, negative), and flags reviews mentioning service failures or urgent language for immediate attention.
The automation checks the sentiment flag. If negative or urgent, route to a human for a custom response. If positive or neutral, proceed to auto-generate a standard reply.
For negative or urgent reviews, send a notification to the marketing manager with the review details and a link to draft a response.
For positive or neutral reviews, the automation generates a contextual thank-you or acknowledgment message and posts it directly to the review platform via API.
All review data and responses are logged. A daily digest is sent summarizing new reviews, response status, and any trends requiring attention.
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