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    Home»News»PromptWell and Ellipsis Health Partner to Transform AI Patient Engagement
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    PromptWell and Ellipsis Health Partner to Transform AI Patient Engagement

    HealthradarBy Healthradar24. März 2026Keine Kommentare3 Mins Read
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    PromptWell and Ellipsis Health Partner to Transform AI Patient Engagement
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    PromptWell and Ellipsis Health Partner to Transform AI Patient Engagement

    What You Should Know

    • The Partnership: PromptWell, an AI-native patient engagement platform, has integrated with Ellipsis Health, a company known for its clinically validated conversational AI.
    • The Core Problem: Healthcare organizations (payers and providers) spend millions of dollars on patient outreach programs (like scheduling Annual Wellness Visits or conducting Health Risk Assessments), but conversion rates remain abysmal. Patients either ignore the calls or hang up on robotic-sounding prompts.
    • The PromptWell Role (The “When”): PromptWell acts as the high-throughput logistics engine. It uses AI-driven behavioral models to predict the exact optimal time a specific patient is most likely to answer their phone or respond to a text, and automatically triggers the outreach at that precise moment.
    • The Ellipsis Health Role (The “How”): Once the patient actually answers the phone, the call seamlessly hands off to “Sage,” Ellipsis Health’s AI voice agent. Powered by the company’s “Empathy Engine,” Sage analyzes the patient’s vocal cues in real-time to assess emotional signals and adapts its conversational tone to keep the patient engaged and guide them into care programs.
    • The Financial ROI: By combining precision timing with emotional intelligence, the integrated platform aims to significantly boost performance across critical financial metrics like HEDIS measures and Medicare Star Ratings.

    The Emotionally Intelligent Robocall

    For health systems and major payers, patient outreach is a game of diminishing returns. You can build the most sophisticated, value-based care program in the world, but if your care coordinators are spending eight hours a day leaving voicemails that no one ever returns, the program will fail.

    Today, two AI healthcare companies announced a partnership designed to solve this massive workflow bottleneck. PromptWell (a patient engagement platform) has integrated with Ellipsis Health (a conversational AI pioneer) to build an end-to-end outreach ecosystem that finally treats the patient like a human being rather than a data point.

    “PromptWell is built to automate the ‘how’ of engagement so healthcare teams can focus on the ‘what’ of care delivery,” said Kaushik Viswanathan, CEO of PromptWell. “By integrating Sage’s emotionally intelligent voice agent into our high-velocity engagement engine, we’re creating a seamless path from outreach to action. Every touchpoint becomes more than just a notification, it becomes a clinically meaningful interaction that drives measurable ROI and better health outcomes.”

    Instead of blasting out 10,000 phone calls at 9:00 AM on a Tuesday, PromptWell’s AI analyzes behavioral data to predict when an individual patient is actually likely to pick up the phone. It acts as the high-throughput engine, automatically triggering the outbound call, text, or email at the exact mathematical moment of highest probability.

    Getting a patient to answer the phone is only half the battle; keeping them from hanging up is the other. When a PromptWell-initiated call connects, it hands off to “Sage,” Ellipsis Health’s AI care management voice agent.

    Trained on millions of live clinical patient calls, Sage utilizes a patented “Empathy Engine.” It actively listens to the patient’s vocal cues in real-time, assessing their emotional state, and dynamically adapts its responses. It isn’t just reading a decision tree; it is conducting a clinically grounded conversation designed to successfully enroll the patient in care programs or complete a Health Risk Assessment.



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    Artificial Intelligence Ellipsis Engagement Health Partner Patient PromptWell Transform
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