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Conversational AI Functionality Gives Healthcare Providers Easy Access to Patient Feedback Data and Trends

rater8
rater8 has launched AI Insights within its raVE platform, adding a conversational AI tool that allows medical practices to query patient feedback data and receive real-time, actionable insights without manual reporting.

Insider Brief

  • rater8 has launched AI Insights within its raVE platform, adding a conversational AI tool that allows medical practices to query patient feedback data and receive real-time, actionable insights without manual reporting.
  • The tool enables administrators, marketers, and patient experience teams to quickly identify sentiment trends, operational risks, performance gaps, and marketing-ready testimonials using natural-language questions.
  • AI Insights is now included at no additional cost across raVE Lite, raVE Pro, and raVE Pro+ subscriptions, following a preview program with practices reporting faster analysis and clearer staff-level feedback.

PRESS RELEASE — rater8, the leader in healthcare reputation management, today announced the addition of AI Insights to the rater8 Visibility Engine (raVE). The intuitive, AI-powered chat responds to conversational queries and quickly surfaces vital information so medical practices can instantly get the real-time answers they need from their patient feedback data.

“Traditional reports require too much manual work and aren’t very intuitive. With AI Insights, I can get exactly what I need without extra customization. I get clear answers fast,” noted Alissa Ashley-High, Practice Administrator, Orthopaedic Associates of Marlborough.

AI Insights gives medical practices a new way to interact with their patient feedback data. Designed for data novices and experts alike, it allows teams to ask questions like they would a colleague and get powerful insights without having to learn how to analyze a report or review a dashboard. AI Insights can help practice administrators, healthcare marketers, and patient experience teams:

  • Find the best patient feedback stats and testimonials to use in marketing materials;
  • Unlock key differentiators and priority areas of improvement without manually sifting through patient feedback reports;
  • Provide providers and practice staff specific, actionable feedback backed by patient voices;
  • Create executive-ready patient sentiment insights and summaries in seconds; and
  • Pinpoint urgent issues immediately to stay ahead of potential risks.

A select group of rater8 users from a variety of practice specialties and sizes was invited to preview the tool and cited valuable benefits, including quickly analyzing review data, identifying immediate points to address with staff for both recognition and improvement, and providing concise, evidence-based summaries for time-strapped providers. 

“Fully understanding the patient experience is critical as patient sentiment increasingly drives volume, quality metrics, and risk, but most teams do not have the time or resources to review patient feedback data manually. AI tools enable medical practices of all sizes to easily identify patterns, flag recurring issues, and proactively address risks before they escalate,” said Evan Steele, Founder and CEO of rater8. “Our new conversational AI tool puts powerful patient feedback insights in the hands of every team member, not just data analysts.”

AI Insights is now included in raVE Lite, raVE Pro, and raVE Pro+ at no additional cost. To learn more, please visit https://rater8.com/ai-insights/.

Matt Swayne
About the author
Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Space Impulse since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses.

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