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

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.

Industry
Healthcare
Published
June 2023

Reported outcomes

Strategic outcomes

New product / capabilityLaunched conversational care applicationsNew product / capabilityAutomated patient message draftingInnovation & cultureExpanded generative AI across organization

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
  • Legacy healthcare processes rely on outdated technologies such as fax machines.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.
  • 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.
  • Significant productivity gains and workflow automation for healthcare providers.
  • Accelerated adoption of generative AI technologies across the organization within two years.
  • Improved communication between providers and patients via automated MyChart messaging.
  • Enhanced support for data scientists, leading to operational efficiencies.
Sources & evidence1
Groundedness: Unavailable

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