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The integration works immediately with your existing OpenPM workflow, requiring no staff training or process changes to begin collecting patient reviews automatically."}},{"@type":"Question","name":"What are the costs for OpenPM review request campaigns?","acceptedAnswer":{"@type":"Answer","text":"Email review requests cost $5 per 1,000 sends and SMS requests cost $5 per 100 sends on a pay-as-you-go basis with no monthly minimums or long-term contracts. WhatsApp pricing varies by country but follows the same pay-per-use model. For most practices using OpenPM, this translates to just pennies per review collected. With the 7.5% average conversion rate across Reviewflowz customers, email campaigns cost approximately $0.67 per review generated while SMS campaigns cost roughly $6.67 per review. You only pay for messages actually sent to patients, making it cost-effective for practices of any size."}}]},{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.reviewflowz.com/"},{"@type":"ListItem","position":2,"name":"OpenPM","item":"https://www.reviewflowz.com/for/openpm"}]}]
Automatic review requests after OpenPM patient visits
Reviewflowz triggers review requests automatically when you mark visits as completed, patients as discharged, or follow-ups as finished in OpenPM. Your staff completes their normal EHR workflow, and patients receive review invitations via email ($5 per 1,000), SMS ($5 per 100), or WhatsApp without any extra steps. The system runs in the background of your existing patient management process. No staff training required, no workflow changes, no manual review request sending. Every patient encounter becomes a potential review opportunity through your established OpenPM documentation routine.
Identify your best patients directly in OpenPM records
When patients leave 5-star reviews on Google, Healthgrades, or other platforms, that positive feedback data flows directly into their OpenPM patient record. Your clinical staff can instantly see which patients are promoters during appointments and follow-ups. These identified advocates become prime candidates for video testimonials, referral requests, or case study participation. Instead of guessing who might provide referrals, you have concrete review data showing which patients already publicly endorsed your practice. This patient satisfaction insight integrates directly with your existing EHR workflow for better relationship management.
Track provider performance without patients naming staff
Reviewflowz automatically attributes patient reviews to the correct physician, nurse practitioner, or provider using OpenPM encounter data rather than requiring patients to mention names. This approach prevents Google from flagging reviews that specifically name healthcare staff, while still giving you detailed per-provider review performance tracking. Your reviews read naturally without forced name mentions, reducing removal risk while maintaining accountability metrics. Generate provider leaderboards, coaching reports, and performance analytics based on actual patient feedback tied to specific encounters in your EHR system.
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Calculate review conversion rates from OpenPM patient volume
Most practices only count total reviews, but 150 reviews from 8,000 patient encounters (1.9% conversion) performs worse than 60 reviews from 1,200 encounters (5% conversion rate). Reviewflowz connects to OpenPM to calculate your true review conversion by dividing reviews collected by total patient encounters completed. Track monthly performance like 342 patient visits generating 47 reviews for a 13.7% conversion rate. This EHR integration provides meaningful performance metrics rather than vanity numbers, helping you benchmark against the 7.5% average conversion rate across Reviewflowz customers.
AI generates replies to every patient review automatically
Responding to reviews improves Google rankings and builds trust with prospective patients, but physicians managing OpenPM charts lack time for manual review responses. Reviewflowz AI generates professional replies to every review across Google, Healthgrades, Zocdoc, Vitals, and 200+ other platforms using your practice's brand voice and tone. Choose manual approval for control or automatic publishing for complete automation. The AI understands healthcare context and patient privacy requirements, crafting appropriate responses that encourage future patients while addressing concerns professionally without revealing protected health information.
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 platforms matter most for OpenPM practices?
Google Reviews takes priority since it directly impacts local search rankings where patients find providers, but healthcare-specific platforms like Healthgrades, Vitals, Zocdoc, and WebMD carry significant weight for medical practices. These specialized platforms influence patient decision-making and boost domain authority in clinical search results. According to BrightLocal Local Consumer Review Survey, 2024, 87% of consumers used Google to evaluate local businesses while 98% read online reviews. Reviewflowz monitors Google plus these essential healthcare platforms and 200+ others from your OpenPM dashboard, ensuring comprehensive coverage of patient feedback across the review ecosystem that drives new patient acquisition.
How do I measure OpenPM practice review performance effectively?
True review performance requires calculating conversion rates by dividing reviews collected by total patient encounters in OpenPM, not just counting raw review numbers. For example, 80 reviews from 2,000 patient visits equals 4% conversion, which significantly outperforms 200 reviews from 15,000 encounters at 1.3% conversion. Since Reviewflowz integrates with OpenPM patient data, it automatically tracks encounter volume to calculate meaningful conversion metrics. Compare your performance against the 7.5% average conversion rate across Reviewflowz customers to benchmark your practice's review collection effectiveness relative to patient volume.
How does OpenPM trigger automatic review requests in Reviewflowz?
When you mark a patient visit as completed, update a discharge status, or finish a follow-up appointment in OpenPM, Reviewflowz detects this trigger event and automatically sends a review request to that patient. You configure the trigger once by selecting your preferred OpenPM status change (visit completed, discharged, follow-up finished) and communication method (email, SMS, or WhatsApp). After initial setup, every patient receives review requests automatically without staff intervention. The system operates in the background of your normal EHR documentation workflow, requiring no additional steps from clinical staff.
Can OpenPM practices send review requests through WhatsApp?
Yes, Reviewflowz supports WhatsApp review requests triggered automatically from OpenPM alongside email and SMS options. WhatsApp delivers approximately 98% open rates compared to roughly 20% for email, making it highly effective for patient engagement. WhatsApp messages are triggered by the same OpenPM events (completed visits, discharges, finished follow-ups) as other communication methods. Pricing varies by country on a pay-as-you-go basis with no monthly minimums. Many healthcare practices find WhatsApp particularly effective for patient demographics who prefer mobile messaging over traditional email communication.
How does provider attribution work with OpenPM review data?
Reviewflowz automatically attributes patient reviews to the correct physician, nurse practitioner, or provider using encounter data pulled directly from OpenPM without requiring patients to mention staff names in their reviews. This integration identifies which provider handled each patient visit and connects incoming reviews to that specific clinician. You get detailed per-provider performance tracking, leaderboards, and coaching metrics while avoiding Google's tendency to flag reviews that specifically name healthcare staff. The system generates provider-specific analytics based on actual patient feedback tied to documented encounters in your EHR.
How quickly can I connect Reviewflowz to my OpenPM system?
Setting up Reviewflowz with OpenPM takes under 15 minutes with no developer or IT department required. Simply connect your OpenPM system through the integration interface, select your review trigger events (completed visits, discharges, follow-ups), choose your communication method (email, SMS, or WhatsApp), and configure your messaging preferences. Your first automated review request sends the same day you complete setup. The integration works immediately with your existing OpenPM workflow, requiring no staff training or process changes to begin collecting patient reviews automatically.
What are the costs for OpenPM review request campaigns?
Email review requests cost $5 per 1,000 sends and SMS requests cost $5 per 100 sends on a pay-as-you-go basis with no monthly minimums or long-term contracts. WhatsApp pricing varies by country but follows the same pay-per-use model. For most practices using OpenPM, this translates to just pennies per review collected. With the 7.5% average conversion rate across Reviewflowz customers, email campaigns cost approximately $0.67 per review generated while SMS campaigns cost roughly $6.67 per review. You only pay for messages actually sent to patients, making it cost-effective for practices of any size.
