What challenges did Roche face before AI implementation?

Healthcare organizations faced increasing demand for AI-powered chat experiences providing reliable, accurate medical information. Managing complex workflows, large volumes of clinical documentation, and diverse protocols was burdensome for healthcare staff. Clinicians needed timely access to accurate medical guidance and up-to-date protocol adherence without excessive administrative workload. Ensuring compliance, privacy, and minimizing risk of hallucinated or incorrect answers from AI systems was essential for safe healthcare delivery.

What was the impact of the AI solution?

Enhanced clinician and patient access to medical information, reducing documentation-related workload. Improved compliance with diagnostic and treatment protocols. Enabled rapid, secure delivery of AI-powered medical guidance at the point of care. Organizations report a transformative, intuitive user experience resulting in time savings and better patient support.

Source

MicrosoftExpandedProductionEvidence: Low40/100

Roche, Ramsay Santé, and Schneider Children's Medical Center revolutionize healthcare with AI-driven copilots

Use case typePatient engagementUpdated Jun 13, 2026

Roche, Ramsay Santé, and Schneider Children's Medical Center of Israel have embraced Microsoft Azure AI Health Bot, combining generative AI and health-specific safeguards to develop advanced healthcare copilot solutions. These organizations are integrating protocol-based workflows and AI-powered chat interfaces, tailored to clinicians' and patients' needs, improving access to medical information and support. The solution combines generative answers from Azure OpenAI Service grounded on authoritative sources and organizations' own medical guidelines. Customizable workflows, compliance controls, audit trails, and healthcare-focused quality checks ensure safety and privacy. Early pilots have demonstrated reductions in clinician workload, better adherence to protocols, and an improved ability to deliver secure and actionable medical guidance in real time. Implementations are already being tailored regionally across Europe and Israel. With the integration of Microsoft Copilot Studio, these health systems can create customized copilots aligned to organizational and geographic protocols, offering comprehensive conversational AI capabilities. The unique combination of AI and protocol-driven automation allows each organization to address both complexity of medical data and the necessity of compliance, helping realize the promise of trustworthy medical AI across diverse healthcare journeys.

Organization: Roche
Industry: Healthcare
Location: Global
Published: March 2024

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Roche, Ramsay Santé, Schneider Children's Medical Center of Israel
Provider: Microsoft
Maturity: Production
Linked source: azure.microsoft.com

Deployed Azure AI Health Bot with generative AI and protocol-based workflows customized for healthcare

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1AI-powered conversational copilot for clinician and patient support
2Automated protocol-based healthcare workflows with integrated generative AI
3Clinical decision support with secure, compliant conversational agents

Healthcare organizations faced increasing demand for AI-powered chat experiences providing reliable, accurate medical information.
Managing complex workflows, large volumes of clinical documentation, and diverse protocols was burdensome for healthcare staff.
Clinicians needed timely access to accurate medical guidance and up-to-date protocol adherence without excessive administrative workload.
Ensuring compliance, privacy, and minimizing risk of hallucinated or incorrect answers from AI systems was essential for safe healthcare delivery.

Deployed Azure AI Health Bot with generative AI and protocol-based workflows customized for healthcare.
Integrated Microsoft Copilot Studio to allow organizations to build bespoke copilots for clinicians and patients.
Used Azure OpenAI Service to ground generative answers on authoritative healthcare sources, guidelines, and organizational content.
Implemented healthcare-oriented safeguards such as clinical evidence checks, customizable disclaimers, and audit trails.

Technologies

Azure AI Copilot Studio Azure OpenAI

Enhanced clinician and patient access to medical information, reducing documentation-related workload.
Improved compliance with diagnostic and treatment protocols.
Enabled rapid, secure delivery of AI-powered medical guidance at the point of care.
Organizations report a transformative, intuitive user experience resulting in time savings and better patient support.

Architecture

The solution combines Azure AI Health Bot (with built-in generative AI from Azure OpenAI Service) as the conversational front-end, integrating protocol-based flows and custom healthcare-centric skills via Microsoft Copilot Studio. Generative answers are grounded on customer content and external authoritative medical sources. Additional governance is provided by audit trails, clinical evidence checks, consent management, and abuse monitoring supporting compliance and custom workflows.

Sources & evidence1

Evidence: Low40/100Evidence strength