Help patients find your practice with a stronger reputation on Google, RateMDs, and Yelp. Praising.ai automates post-visit review requests for medical practices, clinics, and hospital systems — so more satisfied patients leave reviews.
Patients today research providers online the same way they research hotels and restaurants. A practice with a 4.8-star rating and 200 recent Google reviews will attract far more new patients than a practice with 4.9 stars and 8 reviews — volume signals trust. Most patients will not choose a provider with fewer than 3.7 stars, regardless of insurance or location.
The challenge for healthcare providers is that satisfied patients rarely leave reviews unprompted — they come in, receive excellent care, and move on with their lives. Patients who had a negative experience are far more motivated to write about it. Structured review generation inverts that ratio, ensuring your online reputation reflects the care you actually deliver.
These are the sites patients use to find healthcare providers. Praising.ai imports your Google reviews and links RateMDs, Yelp, and Facebook, so your review page can send patients to them.
Every feature in Praising.ai is designed to help healthcare providers get more patient reviews while maintaining professional, compliance-conscious communication.
Send a review request by email or SMS shortly after a patient appointment. Timing is everything — reaching out 2–4 hours after a visit, while the care experience is still fresh, produces the highest conversion rates.
Praising.ai review requests are sent by your practice to your patients — the platform does not store protected health information. Review request content covers the care experience only, never medical details.
Note: Consult your compliance officer to confirm your review request programme aligns with your practice's HIPAA policies.
Run review generation for up to 10 clinic or hospital locations on one Pro subscription (Growth covers 3). Each location gets its own review page and campaigns.
Responding to every patient review signals professionalism and builds trust with future patients. Praising.ai drafts a response for your approval, so you can check it acknowledges the feedback without confirming a patient relationship.
Monitor reviews by individual physician, nurse practitioner, or specialist. See which providers have the strongest patient satisfaction scores and which need support.
Track your practice or hospital's star rating over time, see review volume by platform, and benchmark your reputation against comparable providers in your market.
Export completed appointments from your EHR or practice management system and upload as a CSV. Each row is an appointment, not a patient record — Praising.ai uses the contact details only.
A personalised email or SMS is sent 2–24 hours after the appointment. The message thanks the patient for their visit and links to your review page, where they pick Google or RateMDs.
New patient reviews appear in your Praising.ai dashboard. AI drafts a response for each one, for you to approve. Your Google and RateMDs ratings grow over time.
Healthcare review generation is the process of systematically encouraging every patient to leave a review on Google, Healthgrades, Zocdoc, and similar platforms. It typically involves post-visit email or SMS requests sent after appointments, combined with review management tools to monitor, respond to, and analyse patient feedback. The goal is to increase both the volume and quality of online reviews so patients can make informed care decisions and your practice can grow.
Hospitals and health systems typically pull a list of discharged patients or completed outpatient visits, then send an automated review request 24–48 hours later by email or SMS. The message includes a direct link to the hospital's Google Business Profile or Healthgrades listing. Responses from satisfied patients publish directly to those platforms, improving the hospital's average rating and review volume over time.
Asking patients for reviews is generally permissible, but the review request must not reveal that the recipient is a patient, reference any medical condition or treatment, or include protected health information. Best practice is to send a general message (e.g., 'We hope your visit went well') rather than a disease-specific one. Praising.ai's review request templates are designed with this in mind, but every practice should verify their approach with their compliance officer.
Google Business Profile is the highest-priority platform for most practices — it influences local search rankings and patient decision-making more than any other site. Healthgrades and Zocdoc are important for specialists where patients actively search by specialty. Yelp and Facebook matter for primary care and general dentistry where local discovery is the main channel. Praising.ai imports your Google reviews and links Yelp, Facebook, and RateMDs, so your review page can send patients to them; Healthgrades and Zocdoc are not connected.
Yes, for groups of up to 10 locations. Growth covers up to 3 and Pro up to 10 on one subscription, so each clinic or campus can be its own location with its own review page and campaigns, and team members switch between them in one dashboard. Multi-hospital networks and regional health systems with more than 10 locations can email support@praising.ai.
Research suggests that 40 or more recent Google reviews is the threshold at which most patients consider a practice's rating credible. Practices with fewer than 10 reviews are often skipped entirely by new patients — even if the rating is 5 stars. A structured review generation programme that sends requests after every visit typically reaches 40+ reviews within the first 2–3 months for practices seeing 20 or more patients per week.
Healthcare practices using Praising.ai see 4x more reviews within 90 days. Setup takes 10 minutes. No technical knowledge required.
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