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01 · Use cases— The evidence

Cleveland Clinic

9 documented AI deployments at Cleveland Clinic, across 1 industry. Each one links to the public source it was taken from.

Cleveland, United States · Founded 1921 · clevelandclinic.org · WikipediaSource: Wikidata, 2026-11-01

9
deployments
on record
1
industry
Healthcare
67%
use AI agents
6 of these
9 Jan 2026
latest source date
§ 1

Public AI record

Cleveland Clinic ranks 4th of 13 healthcare companies on the hub with a public AI record score of 67. It is ahead of 96% of companies on depth, but behind most on evidence.

Medium confidenceBased on 9 public cases · updated 10 Nov 2026
67
Record score
Out of 100; 50 is typical on the hub
4th of 13
Healthcare companies
Peer median 62

Nearest peers: Stanford Health Care 2nd, 72 · Cognizant 3rd, 70 · Providence 5th, 65 · Amazon Pharmacy 6th, 63

  1. BreadthHow many different kinds of use case, across how many business areas
    89
  2. DepthShare running in production or at scale rather than pilots
    96
  3. SophisticationAgentic share and innovativeness rating
    87
  4. EvidenceShare backed by the company's own sources and measured results
    12
  5. MomentumHow recent the cases are; older cases count less
    50
How the score works
Each bar is a percentile against every company page on the hub: 70 means a stronger record than 70% of them. The score is the average of the five. It measures the public record we can document, not the quality of the company's AI.

First documented case Mar 2024, latest Jan 2026. Cloud providers named: Microsoft.

§ 2

Compared with peers

Against 39 other healthcare companies on the hub.

What peers document

  1. Clinical documentation20 of 39 peers · here too
    51%
  2. Patient engagement13 of 39 peers · here too
    33%
  3. Healthcare workflow automation10 of 39 peers · here too
    26%
  4. 23%
4 of 6 patterns
Stack and approach vs peers
  • Peer cases name Microsoft 73%, AWS 19%, GCP 8%.
  • AI agents: 67% of Cleveland Clinic's cases vs 43% for peers.
  • Cases from the last 12 months: 11% vs 22% for peers.
§ 3

Deployments

9 deployments at Cleveland Clinic, newest first.

  • 9 Jan 2026
    Healthcare

    AI Adoption in U.S. Hospitals: Transforming Healthcare with Microsoft AI

    Kaiser Permanente · Clinical documentation · Microsoft

    Leading U.S. hospitals and health systems, including Kaiser Permanente, Mayo Clinic, Cleveland Clinic, Mass General Brigham, Stanford Health Care, NYU Langone Health, UC San Diego Health, Vanderbilt University Medical Center, and Duke University have implemented AI solutions. AI applications span clinical decision support, medical imaging, robotic surgery, administrative workflow automation, patient engagement, and workforce optimization. Hospitals use Azure AI, Azure OpenAI, Microsoft 365 Copilot, Power Platform, with integration in Epic electronic health records and secure cloud infrastructures.

    Multi-agentProduction

  • 29 Jan 2025
    Healthcare

    Cleveland Clinic and Galilee Medical Center streamline care with smart AI assistants

    Cleveland Clinic · Patient engagement · Microsoft

    Healthcare organizations such as Cleveland Clinic and Galilee Medical Center have adopted Microsoft-powered AI agents to automate clinical workflows, improve patient interactions, and enhance operational efficiency. Azure Health Bot automates symptom assessment and triaging, increasing workflow speed. DAX Copilot reduces documentation time through real-time note drafting. Seamless integration with Electronic Health Records personalizes patient engagement, while predictive analytics enable proactive care based on real-time and historical trends. Multilingual support reduces barriers for diverse populations. The Provider Selector, built in collaboration with Embold Health, uses AI to guide patients to suitable specialists, accessible across multiple communication channels including Microsoft Teams. All solutions maintain HIPAA and GDPR compliance, with features such as provenance tracking enhancing trust. Cleveland Clinic has improved access to critical patient information, while Galilee Medical Center delivers clearer radiology reports. These implementations demonstrate scalable, secure, and inclusive healthcare transformation.

    Multi-agentProduction

  • 17 Oct 2024
    Healthcare

    Ottawa Hospital and Cleveland Clinic streamline patient care and reduce physician burnout

    Ottawa Hospital · Clinical documentation · Microsoft

    Ottawa Hospital has implemented Microsoft's DAX Copilot, an AI-powered tool designed to draft clinical notes during patient appointments, decreasing administrative burdens and improving focus on patient care. Other healthcare systems, such as Cleveland Clinic, are providing input on Microsoft's expanded suite of healthcare AI tools. Microsoft is partnering with Epic Systems and Paige.AI, along with additional major healthcare organizations, to integrate AI-powered solutions with electronic health records and clinical workflows. AI-driven improvements include automated appointment scheduling, enhanced nursing documentation, and responsible AI frameworks for oversight and safety. Early impact reports point to significant time savings for clinicians and increased patient access to care. These partnerships also support responsible AI practices and regulatory compliance across Europe and North America. Overall, the collaborations are enhancing diagnostic accuracy and supporting sustainable healthcare innovation across leading global health systems.

    Production

  • 11 Oct 2024
    Healthcare

    Healthcare Providers Streamline Operations and Patient Care with AI-Driven Automation

    Duke Health · Clinical documentation · Microsoft

    Microsoft has expanded its Cloud for Healthcare capabilities with a suite of AI-powered enhancements aimed at helping healthcare organizations overcome rising costs and workforce shortages. The update introduces foundational healthcare AI models in Azure AI Studio for processing clinical, imaging, and genomic data. Collaborations with organizations like Providence and Paige.ai focus on advancing multimodal pathology and medical imaging AI. Microsoft Fabric now supports conversational data integration, SDOH dataset transformation, claims data harmonization, and new care management analytics. The public preview of a generative AI-powered healthcare agent service in Copilot Studio allows providers to build agents for triage, appointment scheduling, and clinical trial matching. Additionally, Microsoft and Epic are co-developing an AI-driven, ambient documentation tool that automatically populates nursing assessment flowsheets. Early adopters and collaborators include Duke Health, Cleveland Clinic, Providence, Baptist Health, Northwestern Medicine, Stanford Health Care, Tampa General Hospital, Intermountain Health, Mercy Healthcare, Advocate Health, and Epic Systems. The aim is to automate administrative tasks, integrate previously siloed data streams, and reduce clinical documentation burdens. AI-driven solutions also address burnout among clinicians by freeing up time for direct patient care. Testimonials from provider executives highlight improved data-driven care coordination and enhanced effectiveness in precision medicine and risk stratification. The announcement underscores Microsoft's ongoing investment in healthcare digital transformation and its strategic collaborations with both healthcare providers and technology partners.

    Multi-agentProduction

  • 10 Oct 2024
    Healthcare

    Cleveland Clinic and Galilee Medical Center Transform Patient Care with Healthcare Agents

    Cleveland Clinic · Patient engagement · Microsoft

    Cleveland Clinic and Galilee Medical Center, as early adopters, implemented Microsoft's healthcare agent service within Copilot Studio to reduce staff burnout and enhance patient services. Key features include AI-powered appointment scheduling, triaging, clinical trial matching, and transforming complex radiology data into understandable patient reports. The deployment integrates Azure OpenAI Service and Clinical Safeguards APIs, ensuring compliance, data traceability, and responsible AI. Clinical provenance provides evidence mapping and anchoring to original medical records, mitigating risks of AI errors. Through these agents, clinicians have a reduced administrative workload, and patients gain easier access to medical information. The collaboration showcases responsible AI design for sensitive healthcare tasks and improved data validation. Both organizations serve as benchmarks for responsible, AI-enabled healthcare transformation.

    Multi-agentProduction

5 of 9 deployments
§ 4

What it builds

Clinical documentation is the most common pattern in these deployments: 4.

§ 5

Cloud providers named

Microsoft is named in 9 of these deployments.

  1. Microsoft100% of these
    9
§ 6

Industries

All of these deployments are in Healthcare.

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