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Auto-send review requests after PatientNow appointments
Reviewflowz monitors your PatientNow system and automatically sends review requests when visits are marked complete, treatments finish, or discharge processes end. Configure it once by selecting your trigger event and preferred channel (email, SMS, or WhatsApp), then every qualifying patient receives a review invitation without any manual work from your staff. The system detects completed encounters in real-time and sends requests within minutes, capturing feedback while the patient experience is still fresh. With email requests costing just $5 per 1,000 sends, most practices spend pennies per review collected while maintaining consistent outreach to every patient.
Identify your best patients for referrals and testimonials
When patients leave 5-star reviews on Google or Healthgrades, that rating data automatically syncs back to their PatientNow patient record. Your front desk and care team can instantly see which patients are your biggest advocates during future visits or follow-ups. These are the patients most likely to provide video testimonials, refer family members, or participate in case studies for your marketing efforts. Instead of guessing who might give a referral, you have concrete proof of patient satisfaction tied directly to their medical record, making it natural to ask satisfied patients to help grow your practice through word-of-mouth recommendations.
Track provider performance without naming doctors in reviews
Reviewflowz automatically attributes each review to the correct physician, nurse, or healthcare provider using appointment data from PatientNow, eliminating the need for patients to mention staff names. This approach prevents Google from flagging reviews that specifically name providers, which happens frequently when practices ask patients to mention their doctor by name. The system pulls encounter records showing which provider handled each patient visit, then assigns reviews accordingly when they arrive. You get detailed per-provider performance breakdowns and conversion rates without the risk of review removal, while patients can write natural feedback that focuses on their care experience rather than remembering to mention specific staff members.
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Calculate review conversion rate per patient encounter
Review conversion rate (reviews collected divided by patient encounters) is the metric that reveals true performance, and Reviewflowz calculates this automatically using PatientNow visit data. A practice with 80 reviews from 1,000 patients has an 8% conversion rate, significantly outperforming a competitor with 200 reviews from 5,000 patients (4% rate). The system tracks exactly how many appointments, procedures, and follow-ups you complete each month, then measures how many result in reviews across all platforms. This gives you actionable data to improve your review collection strategy rather than celebrating raw review counts that don't reflect your actual patient volume or staff effectiveness at encouraging feedback.
AI auto-replies to reviews across all medical platforms
Reviewflowz generates professional responses to every patient review across Google, Healthgrades, Zocdoc, Vitals, and 200+ other platforms using AI trained on medical practice communication. The system creates replies that sound like they came from your providers while maintaining HIPAA compliance and appropriate medical practice tone. You can review responses before they publish or set them to auto-publish after approval of your brand voice settings. This ensures every patient review receives a thoughtful response that builds trust with future patients reading your reviews, improves local search rankings through engagement signals, and gives dissatisfied patients a professional pathway to resolve concerns offline.
FAQs
Everything you need to know about the product and billing. Can’t find the answer you’re looking for? Please chat to our team.
Which review sites matter most for PatientNow practices?
Google Reviews is the top priority since it directly impacts local search rankings and patient discovery, but healthcare-specific platforms like Healthgrades, Zocdoc, Vitals, WebMD, and RateMDs are equally important for medical practices. These specialized medical review sites carry significant weight with patients researching providers and boost your practice's credibility within the healthcare ecosystem. Reviewflowz monitors Google plus all major medical review platforms and 200+ others from a single dashboard, ensuring you never miss reviews that could impact your practice's reputation or patient acquisition.
How do I measure PatientNow review collection performance?
Track your review conversion rate (reviews divided by patient encounters) rather than just counting total reviews. Reviewflowz calculates this automatically by pulling patient volume data directly from PatientNow appointments and procedures. A practice with 60 reviews from 600 patients (10% conversion rate) significantly outperforms one with 150 reviews from 3,000 patients (5% conversion rate). The average conversion rate across Reviewflowz customers is 7.5%, giving you a benchmark to measure your performance against similar practices using systematic review collection.
How do PatientNow review requests actually get triggered?
Reviewflowz monitors your PatientNow system for completed events like finished visits, discharged patients, completed treatments, or follow-up appointments marked done. When these trigger events occur, the system automatically sends a review request to that patient via email, SMS, or WhatsApp within minutes. You configure this once by selecting your preferred trigger events and communication channels, then every qualifying patient receives a review request automatically. No manual work is required from your staff once the workflow is set up and running.
Can PatientNow practices send review requests via WhatsApp?
Yes, Reviewflowz supports WhatsApp review requests with approximately 98% open rates compared to 20% for email, making it highly effective for patient engagement. WhatsApp requests are triggered automatically from PatientNow just like email and SMS when visits complete, treatments finish, or follow-ups end. The system handles WhatsApp messaging through official business APIs, and pricing varies by country following the same pay-as-you-go model with no monthly minimums or contracts required.
How do I track which PatientNow providers get the most reviews?
Reviewflowz automatically attributes reviews to individual providers using appointment and encounter data from PatientNow without requiring patients to mention doctor or nurse names in their reviews. This prevents Google from flagging reviews that specifically name healthcare providers, which happens frequently with traditional approaches. The system pulls your PatientNow provider assignments for each patient visit, then attributes incoming reviews accordingly. You get detailed per-provider performance tracking, conversion rates, and review quality metrics while maintaining natural-sounding patient feedback.
How quickly can I set up Reviewflowz with PatientNow?
Setup takes under 15 minutes with no developer or IT department needed. You simply connect your PatientNow system to Reviewflowz, select your trigger events (like completed visits or discharged patients), choose your messaging channel (email, SMS, or WhatsApp), and configure your review request templates. Your first automatic review request goes out the same day a qualifying patient event occurs in PatientNow. The integration is designed for practice managers and staff to configure independently without technical expertise.
What do PatientNow review requests cost per patient?
Reviewflowz charges $5 per 1,000 emails and $5 per 100 SMS on a pay-as-you-go basis with no monthly minimums or long-term contracts. For most healthcare practices, this translates to just pennies per review collected from PatientNow patients. WhatsApp pricing varies by country and follows the same pay-as-you-go model. With the average 7.5% conversion rate, practices typically spend under $1 to collect each review, making it highly cost-effective compared to other patient acquisition and reputation management methods.
