What challenges did Bon Secours Mercy Health face before AI implementation?

Legacy healthcare processes rely on outdated technologies such as fax machines. Need for faster and more efficient provider communication and workflow automation. Limited productivity and heavy administrative workloads for clinicians and data scientists. Ensuring responsible and governed deployment of AI in sensitive clinical contexts.

What was the impact of the AI solution?

Significant productivity gains and workflow automation for healthcare providers. Improved communication between providers and patients via automated MyChart messaging. Enhanced support for data scientists, leading to operational efficiencies.

Source

MicrosoftProductionEvidence: Low40/100

Bon Secours Mercy Health accelerates healthcare productivity with AI-driven automation

Use case typePatient engagementUpdated Jun 13, 2026

Bon Secours Mercy Health, a leading US healthcare provider with 48 hospitals across five states, is rapidly implementing generative AI to transform healthcare delivery and automate provider workflows. Integrating Microsoft generative AI, including Azure AI and Azure OpenAI, with the Epic health record system, the organization is drafting patient communications and enabling conversational care digital health applications. Advanced analytics use cases include code explanation and translation for data scientists, and accelerated code writing. The leadership team is focused on pragmatic, responsible deployment, balancing acceleration with robust governance. Over the next two years, further expansion is planned, including disease-specific large language models for clinical decision support. Early adoption is delivering significant productivity and workflow improvements for healthcare professionals.

Organization: Bon Secours Mercy Health
Industry: Healthcare
Location: United States
Published: June 2023

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

Customer: Bon Secours Mercy Health
Provider: Microsoft
Maturity: Production
Linked source: Becker's Hospital Review

Deployed analytics use cases: code explanation, code translation, and code acceleration for data science teams

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Automated Patient Communication via Generative AI
2Conversational Digital Health Applications
3AI-Powered Analytics for Code Explanation and Translation

Integrated Microsoft generative AI (Azure AI, Azure OpenAI) with Epic EHR system.
Automated drafting of MyChart patient communications.
Implemented conversational care digital health applications.
Deployed analytics use cases: code explanation, code translation, and code acceleration for data science teams.
Planned expansion to disease-specific large language models.

Technologies

Azure AI Azure OpenAI Epic ChatGPT

Significant productivity gains and workflow automation for healthcare providers.
Improved communication between providers and patients via automated MyChart messaging.
Enhanced support for data scientists, leading to operational efficiencies.

Sources & evidence1

Evidence: Low40/100Evidence strength