Review Management Software for Practice Better (Beta) users

Obtenez davantage avis 5 étoiles de la part de vos patients avis Google, Healthgrades et Zocdoc grâce à la surveillance automatisée et à la gestion des réponses.

Ils adorent la simplicité de notre solution

From patient discharge to review request. Automatically.
When a visit completes, treatment finishes, or follow-up concludes in Practice Better (Beta), Reviewflowz instantly sends a review request to your patient via email, SMS, or WhatsApp. Set your triggers once and never think about it again. Every single patient gets asked to leave a review on Google, Healthgrades, Zocdoc, and other key platforms.
Your happiest patients, flagged in Practice Better (Beta)
When a patient leaves a 5-star review, that signal flows directly into Practice Better (Beta) and appears on their patient record. Now your care team knows exactly who your biggest advocates are during daily workflows. Ask these promoters for video testimonials, referrals, or case studies to amplify your practice's reputation.
Mention du personnel sans citer de noms
Most practices ask patients to mention their doctor, physician, nurse, or provider by name in reviews. Problem: Google flags those reviews more often, and patients forget or misspell names. Reviewflowz takes a different approach. Because it's connected to Practice Better (Beta), it already knows which provider handled each patient encounter. When the review comes in, it's automatically attributed with no name needed. Your reviews read naturally, fewer get removed, and you still get per-provider performance breakdowns.
À quel point prenez-vous vos avis au sérieux?
Lancez-vous en quelques minutes • Passez à la version supérieure quand vous serez prêt
Reviews per patient encounter: the metric that matters
A practice with 50 reviews sounds impressive until you realize they've had 2,000 patient encounters. That's a 2.5% conversion rate. Your competitor has 30 reviews from 150 encounters, a 20% rate. They're winning. Because Reviewflowz connects to Practice Better (Beta), it knows exactly how many patient encounters you completed. So instead of celebrating raw numbers, you see: 342 patient encounters this month, 47 reviews, 13.7% conversion rate.
L'IA répond automatiquement à chaque avis laissé par un patient
Replying to reviews boosts your Google ranking, builds trust with future patients, and gives unhappy ones a reason to return. But what healthcare provider has time to craft thoughtful replies across Google, Healthgrades, Zocdoc, Vitals, and 200+ other platforms? Reviewflowz uses AI to generate on-brand responses that sound like they came from your practice. Review and approve them first, or let them publish automatically so no patient review goes unanswered.

FAQ

Tout ce que vous devez savoir sur le produit et la facturation. Vous ne trouvez pas la réponse à votre question ? N'hésitez pas à contacter notre équipe par chat.
Quels sont les sites d'avis les plus importants pour les entreprises du secteur de la santé ?
Google Reviews is always #1 for healthcare practices since most patients search there first, but industry-specific sites like Healthgrades, Zocdoc, Vitals, WebMD, and RateMDs are crucial for domain authority and capturing patients who research doctors on specialized platforms. Yelp also matters for local discovery, especially for urgent care and specialty practices. Reviewflowz monitors all these major healthcare review sites plus 200+ others from one unified dashboard, so you never miss a review that could impact your practice's reputation.
Comment puis-je évaluer mes performances en matière d'avis ?
Don't just count reviews. Reviewflowz tracks your review conversion rate by dividing your reviews by your total patient encounters from Practice Better (Beta), giving you the complete picture. A practice with 50 reviews from 500 patients (10% conversion) is outperforming one with 200 reviews from 5,000 patients (4% conversion).
Comment la demande de révision est-elle envoyée concrètement ?
When specific events happen in Practice Better (Beta) like a visit completion, treatment finish, discharge, or follow-up, Reviewflowz automatically detects this and sends a review request to your patient via your chosen channel (email, SMS, or WhatsApp). You configure this once by selecting your trigger event and preferred communication method, then every patient who hits that trigger gets a review request automatically. It's completely hands-off once set up, requiring zero manual work from your team.
Puis-je envoyer des demandes d'avis via WhatsApp ?
Yes, Reviewflowz supports WhatsApp review requests with nearly 98% open rates, significantly higher than email. WhatsApp requests are automatically triggered from Practice Better (Beta) when visits are completed, treatments finished, or follow-ups are done, just like our email and SMS options.
Puis-je savoir quel médecin, infirmier ou professionnel de santé génère le plus avis?
Yes, Reviewflowz automatically tracks review performance by individual healthcare providers through its direct integration with Practice Better (Beta). Since we pull patient encounter data directly from your EHR, each review is automatically attributed to the correct doctor, physician, nurse, or provider without requiring patients to mention names. This automatic attribution also helps prevent Google from flagging reviews, as reviews that explicitly mention staff names are more likely to be removed by Google's algorithms.
How long does it take to set up Reviewflowz with Practice Better (Beta)?
Setup takes just minutes, not days. You simply connect Practice Better (Beta) to Reviewflowz, select your trigger and communication channel, and you're live with no developer or IT support needed. Your first automated review request goes out the same day.
Combien coûtent les e-mails et les SMS de demande d'avis ?
Email requests cost $5 per 1,000 sends and SMS costs $5 per 100 sends on a pay-as-you-go basis with no monthly minimums or contracts. For most healthcare practices, this works out to just pennies per review collected. WhatsApp pricing varies by country and follows the same credit-based model.