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Automatically request reviews from TM3 patients after visits, treatments, or discharges. Monitor responses across Google, Healthgrades, and 200+ platforms.
Reviewflowz triggers automated review requests when you complete visits, finish treatments, or process discharges in TM3. Set up the integration once and every patient encounter automatically generates a review request via email, SMS, or WhatsApp within minutes of completion. No manual follow-ups or missed opportunities. The system monitors your TM3 workflow and captures the optimal moment when patient satisfaction is highest. This approach consistently generates more reviews than manual processes because timing is automatic and no patient gets forgotten in your busy practice schedule.
How to identify your best patients from TM3 reviews
When patients leave 5-star reviews, that positive feedback links directly to their TM3 patient record for future reference. Your staff can instantly see which patients are practice advocates during appointments and follow-ups. These satisfied patients become your best referral sources, testimonial candidates, and case study participants. The integration eliminates guesswork about patient satisfaction by flagging your biggest supporters automatically. This patient intelligence helps you build stronger relationships with promoters while identifying opportunities for word-of-mouth marketing that drives new patient acquisition.
TM3 staff attribution for patient reviews without name drops
Reviewflowz automatically attributes each patient review to the correct provider using TM3 appointment data, eliminating requests for patients to mention names. This prevents the unnatural-sounding reviews that Google often flags for removal. Patients write authentic feedback about their experience while you still get detailed performance analytics per doctor, nurse, or specialist. The system creates provider leaderboards and performance reports without compromising review authenticity. Your reviews sound genuine, stay published longer, and provide actionable insights for practice management and staff development.
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How to calculate review conversion rates for medical practices
Review conversion rate equals total reviews divided by patient encounters, and TM3 integration calculates this automatically using your actual visit data. A practice with 50 reviews from 500 patients (10% conversion) outperforms one with 200 reviews from 5,000 patients (4% conversion). Raw review counts mislead, but conversion rates reveal true performance. Reviewflowz tracks your TM3 encounter volume and review collection to show real metrics like monthly conversion trends, provider comparisons, and department performance. This data helps you benchmark against the average 7.5% conversion rate across Reviewflowz customers.
AI auto-replies for medical practice reviews
AI generates personalized responses to every patient review across Google, Healthgrades, Vitals, and other platforms using your practice's voice and tone. You can review responses before publishing or enable automatic replies to ensure no review goes unanswered. The system handles positive feedback with gratitude, addresses concerns professionally, and maintains HIPAA compliance in all responses. Consistent review responses improve your Google rankings and demonstrate patient care to prospective patients reading reviews. This automation saves hours weekly while maintaining the personal touch patients expect from healthcare providers.
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.
What review platforms matter most for TM3 medical practices?
Google Reviews ranks first for medical practices since most patients start their provider search on Google. However, healthcare-specific platforms like Healthgrades, Zocdoc, Vitals, WebMD, and RateMDs capture patients who research doctors on medical sites and often rank higher for medical searches. These specialized platforms influence patient decisions more than general review sites. Reviewflowz monitors Google plus all major healthcare review platforms from one dashboard, ensuring you never miss patient feedback regardless of where it's posted. This comprehensive monitoring protects your online reputation across the entire patient journey.
How do I measure TM3 practice review performance correctly?
Focus on review conversion rate rather than total review count. Conversion rate equals reviews collected divided by patient encounters from TM3. A practice with 80 reviews from 1,000 patients (8% conversion) significantly outperforms one with 300 reviews from 10,000 patients (3% conversion). Reviewflowz calculates this automatically using your TM3 patient volume data, showing monthly trends, provider comparisons, and department performance. This metric reveals which providers and processes generate the most patient advocacy, helping you replicate successful approaches across your entire practice.
How are TM3 review requests actually sent to patients?
Review requests trigger automatically when you complete visits, finish treatments, process discharges, or mark follow-ups complete in TM3. The system sends requests via your chosen method: email, SMS, or WhatsApp. Email costs $5 per 1,000 sends while SMS costs $5 per 100 sends with no monthly commitments. WhatsApp achieves nearly 98% open rates compared to 20% for email, making it highly effective for patient engagement. Once configured, every completed TM3 encounter generates a review request without manual intervention, ensuring consistent patient feedback collection.
Can TM3 send WhatsApp review requests to patients?
Yes, Reviewflowz supports WhatsApp review requests triggered automatically from TM3 patient encounters. WhatsApp achieves approximately 98% open rates versus 20% for email, significantly improving patient response rates. Review requests send automatically when you complete visits, treatments, discharges, or follow-ups in TM3. WhatsApp pricing varies by country but follows the same pay-as-you-go model as email and SMS. This channel works particularly well for practices serving diverse patient populations who prefer WhatsApp communication over traditional email or text messaging.
How to track which TM3 providers get the most patient reviews?
Reviewflowz automatically attributes patient reviews to specific doctors, nurses, or specialists using TM3 appointment and encounter data. This eliminates asking patients to mention provider names, which often results in Google removing reviews. The system creates provider leaderboards showing review volume, average ratings, and conversion rates per doctor. You get detailed performance analytics without compromising review authenticity. This data helps identify top-performing providers, training opportunities, and patient satisfaction patterns across departments. Provider attribution happens automatically based on who handled each patient encounter in TM3.
How long does TM3 review management setup take?
Setup takes under 15 minutes with no developer or IT department required. Connect your TM3 system to Reviewflowz, select trigger events (completed visits, finished treatments, discharges), choose communication methods (email, SMS, WhatsApp), and configure review request timing. Your first automated review requests begin sending the same day. The integration works with existing TM3 workflows without disrupting patient care or requiring staff training. Most practices see their first patient reviews within 48 hours of activation.
What do TM3 review request emails and SMS cost?
Email review 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 medical practices, this equals just pennies per review collected. WhatsApp pricing varies by country but follows the same credit-based model. With the average 7.5% conversion rate across Reviewflowz customers, you typically collect 75 reviews per 1,000 email requests (about 7 cents per review) or 7-8 reviews per 100 SMS requests (roughly 60-70 cents per review).
