When a visit is completed, patient is discharged, or follow-up is finished in MTBC, Reviewflowz automatically sends a review request via email, SMS, or WhatsApp. Set your triggers once and forget about it. Every single patient gets asked to leave a review without any manual work from your staff.
Your happiest patients, flagged in MTBC
When a patient leaves a 5-star review, that signal flows directly into MTBC and attaches to their patient record. Now your clinical team knows exactly who your biggest advocates are during every appointment. Ask them for referrals, video testimonials, or case studies while you have their attention.
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Most practices ask patients to mention their physician 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 MTBC, it already knows which provider handled each patient encounter. When the review comes in, it's automatically attributed. Your reviews read naturally, fewer get removed, and you still get per-provider performance data and leaderboards.
Quanto prendi sul serio le tue recensioni?
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Il numero di recensioni per visita è più significativo del semplice conteggio
A practice with 150 reviews sounds impressive until you realize they've seen 12,000 patients. That's a 1.25% conversion rate. Your competitor has 60 reviews from 800 encounters, a 7.5% rate. They're dominating. Because Reviewflowz connects to MTBC, 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. That's the metric that matters.
L'intelligenza artificiale risponde automaticamente a ogni recensione.
Replying to reviews boosts your Google ranking, builds trust with future patients, and gives unhappy ones a reason to come back. But what physician has time to reply to every single review while managing patient charts and clinical workflows in MTBC? Reviewflowz generates on-brand replies using AI across Google, Healthgrades, Zocdoc, Yelp, and 200+ other sites. Approve them manually or let them publish automatically.
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What review sites matter most for ehr businesses?
For EHR businesses, Google Reviews is always your #1 priority since it directly impacts local search rankings, but healthcare-specific sites like Healthgrades, Vitals, Zocdoc, and WebMD are crucial for building domain authority and capturing patients who search within those medical platforms. These industry-specific review sites carry significant weight with potential patients researching EHR-supported practices because they're trusted sources for healthcare decisions. Reviewflowz monitors all of these critical sites plus 200+ others from one unified dashboard, so you never miss a review that could impact your MTBC practice management success.
Come posso valutare l'efficacia delle mie recensioni?
Most practices only count total reviews, but that's meaningless without knowing your patient volume. Since Reviewflowz integrates directly with MTBC, we automatically calculate your review conversion rate by dividing your reviews by total patient encounters. A practice with 80 reviews from 2,000 patients (4% conversion) significantly outperforms one with 200 reviews from 15,000 patients (1.3% conversion).
Come viene inviata effettivamente la richiesta di revisione?
When a visit is completed, discharged, or follow-up is completed in MTBC, Reviewflowz automatically detects this trigger and sends a review request to the patient via your chosen channel (email, SMS, or WhatsApp). You configure this once by selecting your trigger event and preferred communication channel, then every patient receives a review request automatically without any manual work. It's completely set-and-forget once you've chosen your settings.
Posso inviare richieste di recensioni tramite WhatsApp?
Yes, Reviewflowz fully supports WhatsApp review requests alongside email and SMS options. WhatsApp delivers nearly 98% open rates, making it significantly more effective than traditional email. Like our other channels, WhatsApp requests are automatically triggered from MTBC when visits are completed, patients are discharged, or follow-ups are finished.
Posso sapere quale medico, infermiere o operatore sanitario riceve il maggior numero di recensioni?
Yes. Reviewflowz automatically pulls encounter data from your MTBC EHR system to attribute each patient review to the correct physician, nurse, or provider who handled that appointment, giving you detailed performance tracking without patients needing to mention staff names. This EHR integration also reduces the risk of Google flagging reviews since reviews that specifically name healthcare providers are more likely to be removed.
How long does it take to set up Reviewflowz with MTBC?
Setup takes just minutes, not days. Simply connect your MTBC system 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.
Quanto costano le e-mail e gli SMS di richiesta di recensione?
Review request emails cost $5 per 1,000 sends and SMS costs $5 per 100 sends, with pay-as-you-go pricing and no monthly minimums or contracts. For most healthcare practices using MTBC, the actual cost per review collected works out to just pennies. WhatsApp pricing varies by country but follows the same pay-as-you-go model.
