NurseBridge is built for care teams facing nurse shortages and limited nursing capacity. Its voice agent asks routine intake questions while a nurse is occupied, then organizes the answers into a structured draft. When available, a nurse can review the collected information, verify unclear details, and take over the same call, including before automated intake finishes. Patients can join a browser call, consent, and speak naturally. Supporting quotes, visible corrections, and explicit uncertainty help the nurse check the draft. Teams can edit intake questions and acknowledgments, while each call keeps its starting template. The live voice path uses AssemblyAI Voice Agent with Nebius. Separate extraction checks supporting transcript evidence. Next.js runs on Cloudflare Workers, with a Durable Object coordinating each call and D1 storing workspace and case records. Our video includes an actual local AssemblyAI conversation with a fictional prerecorded caller, followed by a labeled transcript-replay workflow tour. Physical-device and telephone-network acceptance remain pending. NurseBridge does not diagnose, recommend treatment, or assess urgency. The intended value is less repetitive intake work and more nursing time for assessment and care. We will evaluate this with nurses using fictional cases, comparing total nursing time for manual intake against agent intake plus review, corrections, and handoff, while measuring information quality. No time savings or clinical benefit are claimed.
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