Q1. What impact is Dragon Copilot having today, and what outcomes are you prioritising for 2026?A1. Dragon Copilot gives clinicians time back and reduces cognitive burden—shifting focus from paperwork to patients.What began with physicians now increasingly supports nurses and radiologists. In 2026, we’ll continue expanding to additional care teams while simplifying workflows to reduce administrative load and improve productivity.Our focus remains the same: outcomes. Clinicians report a 70% improvement in work–life balance and meaningful reductions in burnout and fatigue. And 93% of patients say their clinician is more personable and conversational when using our technology.The work ahead is scale—bringing these gains to more care teams and enabling the broader ecosystem at this shared AI frontier.To support that ecosystem, we’re introducing new extensibility capabilities in Dragon Copilot. Partners can now build and deploy AI applications and agents directly within the Dragon Copilot experience.This strengthens clinical intelligence at the point of care, maintains workflow continuity, and accelerates responsible innovation across healthcare.
Q2. Which integrations and guardrails matter most for deploying ambient AI across health systems?A2. Integration is the backbone of a seamless clinical experience. Our partner ecosystem of EHR providers, ISVs, system integrators, and cloud service providers each plays a distinct role in helping health systems procure, deploy, and scale ambient AI.Guardrails begin with a secure data estate. Layered on top are healthcare-specific clinical, conversational, and compliance safeguards that ensure accurate and safe AI outputs. We do not compromise here. Every deployment is guided by Microsoft’s Responsible AI Standard and principles of fairness, reliability and safety, privacy and security, transparency, accountability, and inclusiveness.These guardrails help health systems evaluate and mitigate risks, ensure compliance with HIPAA and other regulations, and maintain trust with patients and providers.
Q3. Can you share one commitment Microsoft is making in 2026 that advances precision medicine at scale, and one dependency that must be true to realize itA3. Medicine is iterative. No one walks into the clinic and has every question answered at once. Colleagues in Microsoft AI are exploring how MAI-DxO’s multimodal, sequential diagnostic reasoning could strengthen the foundations of precision medicine by helping clinicians identify the right next question or test and integrate signals across imaging, labs, notes, and longitudinal history. The aim is to surface risk earlier, reduce low-value testing, and better align diagnostic and treatment decisions to the individual patient.A key dependency for anyone innovating in this space is continued progress on interoperability and secure, trusted data exchange, so that advanced reasoning systems can operate on high-quality clinical data within strong privacy, safety, and governance frameworks.
