For private hospital groups and medical centres
Hospital group reputation management: searched by department.
Locationes is a multi-location Google Business Profile platform for private hospital groups and medical centre networks. It keeps one profile per site complete, tracks the departments patients search for, and shows where the experience behind a stable rating is deteriorating.
Last updated:
- Reply queue
- Waiting-time patterns visible per site.
- Hours
- Replies written for the next patient to read.
- Profiles
- Department and service lists kept complete.
- Visibility
- Reputation compared across sites, not averaged.
The problem
A patient searching a symptom lands on a hospital page, then reads reviews about parking, waiting and discharge rather than the consultant.
Volume makes the rating look stable while one site's outpatient experience quietly deteriorates.
And a reply that discusses a case turns a private complaint into a public record that outlives the visit.
What it does
Three jobs, in your sector's language.
No generic feature list. The parts of the product that matter when the queue is long and the hours differ.
- Reviews
-
One queue per site, searchable by what patients mention.
Filter by location, rating and text to pull every review about waiting, parking or discharge, and answer with templates written for those cases. Translation covers international patients; no reply confirms treatment, a department visit or a diagnosis.
- Profiles
-
Profiles that carry the service list.
Departments, services, hours and photos are profile fields scored across ten checks, with a fix for each. The alerts check runs live and finds duplicate listings after a merger or a site rebrand, which is where hospital groups lose reviews most often.
- Visibility
-
Comparisons that survive different volumes.
Rating breakdown per site, average time to answer a negative review, monthly comparison and a review heat map. Keyword performance adds the demand side: which department terms bring people to which site.
Example scenario
Example scenario
Illustrative example, not a customer story.
A group runs four hospitals and thirty outpatient clinics, and has just merged two sites. The alerts page shows a duplicate listing at the absorbed address, still collecting reviews. The marketing lead flags it, keeps both tracked while the change is processed, and moves the new site's description to the merged service list.
That month, reviews mentioning "waiting" double at one hospital. She filters by location and text, exports the batch for the operations director, and writes one reply standard for the group: thank the patient, say what the site has changed, offer patient services as the private channel. No reply names a clinician.
- Unanswered negatives
- 24
- In two supplier-linked branches
- 9
- Hours edits flagged by Google
- 1
- Branches on late-night hours
- 14
Figures belong to the example above.
Related
Related pages
Features, sectors and reading that share the same work.
See it with your own locations
We will walk through your estate, your review volume and your current workflow.