This white paper explains how AI is increasingly intertwined with virtual care, moving from “behind-the-scenes” optimization (scheduling, infrastructure monitoring) to more visible support that reduces administrative burden, strengthens safety, and improves patient and clinician experiences. It notes growing acceptance—many patients and clinicians see advantages—while highlighting persistent concerns about privacy, governance, inequities, vendor maturity, and implementation risk. The paper outlines practical AI-enabled virtual care use cases such as ambient documentation, remote patient monitoring decision support, patient safety monitoring (falls, respiratory distress, agitation), workflow and rounding assistance, and computer-vision monitoring. It also provides a due-diligence question set for evaluating AI partners, focusing on EHR/workflow integration, responsible AI governance, data security, bias guardrails, and proven track records. Teladoc positions its approach as privacy-by-design with edge processing, human oversight, and mature models already in production.

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