When a visit completes, treatment finishes, or discharge processes in TM3, Reviewflowz sends a review request to your patient via email, SMS, or WhatsApp. You set it up once, and every single patient gets asked. No manual follow-ups, no forgotten requests, no missed opportunities.
Your happiest patients, flagged in TM3
When a patient leaves a 5-star review, that signal flows right back into TM3 attached to their patient record. Now your staff knows who your biggest fans are during every appointment. Ask them for a video testimonial, a referral, or case study participation. Your best marketing comes from your happiest patients, but only if you know who they are.
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 TM3, it already knows which provider handled each patient visit. 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 data and leaderboards.
Reviews per patient encounter. The metric that matters.
À quel point prenez-vous vos avis au sérieux?
Lancez-vous en quelques minutes • Passez à la version supérieure quand vous serez prêt
A medical practice with 150 reviews sounds impressive until you realize they've seen 12,000 patients. That's a 1.25% conversion rate. Your competitor down the street has 60 reviews from 800 patients. A 7.5% rate. They're winning. Because Reviewflowz connects to TM3, it knows exactly how many patient encounters you completed, so instead of celebrating raw numbers, you see: 284 encounters this month, 39 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 helps recover unhappy ones before they leave your practice. But what physician has time to craft thoughtful replies to every review across Google, Healthgrades, Zocdoc, Vitals, and dozens of other platforms? Reviewflowz uses AI to generate on-brand replies in seconds. Review and approve them first, or let them publish automatically so no patient review ever goes unanswered.
Quels sont les sites d'avis les plus importants pour les entreprises du secteur de la santé ?
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.
Google Reviews is always #1 for healthcare practices since 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 providers on medical platforms. These healthcare-focused review sites often rank higher in search results for medical queries and influence patient decision-making more than general review sites. Reviewflowz monitors Google plus all major healthcare review platforms like Healthgrades, Zocdoc, Vitals, WebMD, RateMDs, Yelp, and 200+ others from one centralized dashboard.
Comment puis-je évaluer mes performances en matière d'avis ?
Don't just count reviews. The metric that matters is your review conversion rate (reviews divided by patient encounters), and because Reviewflowz connects directly to TM3, it automatically calculates this for you using your actual patient volume data. A practice with 80 reviews from 2,000 patients (4% conversion rate) is outperforming one with 200 reviews from 15,000 patients (1.3% conversion rate).
Comment la demande de révision est-elle envoyée concrètement ?
When you mark a visit as completed, finish a treatment, process a discharge, or complete a follow-up in TM3, Reviewflowz automatically triggers a review request to that patient. You choose whether it goes out via email, SMS, or WhatsApp during the initial setup. Once configured, every patient automatically receives a review request after the trigger event with zero manual work required.
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 triggered automatically from TM3 just like email and SMS when visits are completed, treatments finished, patients discharged, or follow-ups are done.
Puis-je savoir quel médecin, infirmier ou professionnel de santé génère le plus avis?
Yes. Reviewflowz integrates directly with TM3 to automatically attribute each patient review to the correct healthcare provider based on appointment and encounter data, eliminating the need for patients to mention staff names. This automation also helps prevent Google from flagging reviews, since reviews mentioning specific provider names are more likely to be removed by Google's algorithms.
How long does it take to set up Reviewflowz with TM3?
Setup takes just minutes, not days. You simply connect TM3 to Reviewflowz, choose your trigger and communication channel, and you're live with no developer or IT department needed. Your first 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.
