Rudy Lai

AI @ Cardinal Health

Drug and medical product distribution
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • Cardinal Health has progressively integrated AI in clinical oncology, supply chain, and warehouse operations from 2019 through 2025, including launching the Navista AI solutions suite in 2021 and acquiring Specialty Networks in 2024 for $1.2 billion to enhance AI-based analytics capabilities.
  • Key leadership figures such as Amy Valley (VP Clinical Strategy) and dedicated AI Center of Excellence leadership roles (Director and Vice President of AI) established recently highlight an institutional commitment to AI-driven transformation, particularly with cloud-based AI applications and partnerships with Palantir and Google Cloud.
  • The company’s AI efforts have matured from early oncologist optimism and research around AI use in patient care to practical applications in clinical documentation, supply chain optimization, patient risk prediction, and warehouse fulfillment automation, demonstrating stable and increasing AI adoption geared toward improving clinical outcomes, operational efficiency, and customer experience.

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4 AI Use Cases at Cardinal Health

Warehouse Automation
2025
Traditional
Generative
Agentic
Outcome
Costs
Deployment of a cloud-based AI-driven warehouse and fulfillment system automates inventory and order fulfillment processes to increase operational efficiency and accuracy in distribution centers. [1]
Workflow Automation
2024
Traditional
Generative
Agentic
Outcome
Costs
Cardinal Health is applying AI to streamline and simplify clinical documentation and clinician workflow, leveraging generative AI capabilities to reduce administrative burden and improve clinical efficiency. [1]
Supply Chain
2023
Traditional
Generative
Agentic
Outcome
Costs
Through a collaboration with Palantir, Cardinal Health integrates AI and machine learning to optimize the supply chain by creating clinically integrated solutions that improve efficiency and resiliency. [1]
Patient Risk
2022
Customer Facing
Traditional
Generative
Agentic
Outcome
Cardinal Health uses AI and machine learning via the Jvion CORE platform to analyze patients’ clinical and social determinants to predict health risks and help ensure patients receive appropriate care. [1]

Timeline

2025 Q3

1 updates

Recruitment of Vice President, Artificial Intelligence to lead and mentor AI teams with focus on data science, ML engineering, and AI architecture roles demonstrating executive commitment.

2025 Q2

2 updates

Cardinal Health hires Director for AI Center of Excellence to lead AI specialists and champion responsible ethical AI adoption, underscoring growing strategic focus on AI governance.

2025 Q1

2 updates

Launch of AI Center of Excellence focused on identifying promising AI use cases. Deployment of a new cloud-based AI-driven warehouse and fulfillment center system enhances supply chain automation.

2024 Q4: no updates

2024 Q3

1 updates

Educational sessions on AI and machine learning provide comprehensive overviews within lab and point-of-care testing contexts, indicating knowledge dissemination efforts.

2024 Q2

2 updates

Focus on balancing AI's promise with pragmatism, exploring generative AI applications in diagnostics, patient engagement, and easing documentation and clinician workflow.

2024 Q1

1 updates

Cardinal Health agrees to acquire Specialty Networks for $1.2 billion, gaining access to Specialty Networks' AI-based PPS Analytics platform, deepening AI capabilities in specialty pharmacy analytics.

2023 Q4: no updates

2023 Q3

1 updates

Emerj presents two detailed AI use cases demonstrating how Cardinal Health aligns AI initiatives to business goals, indicating focused applied use of AI.

2023 Q2

1 updates

Amy Valley, VP of Clinical Strategy and Technology Solutions, discusses the balance of benefits and potential risks of AI adoption in oncology practices.

2023 Q1

1 updates

Collaboration with Palantir to deliver a clinically integrated supply chain solution leveraging advanced AI and machine learning technologies.

2022 Q4

1 updates

Partnership with Google Cloud and NetApp to modernize applications utilizing Compute Engine, GKE, BigQuery, and Vertex AI, enhancing cloud-based patient-centric solutions.

2022 Q3: no updates

2022 Q2

1 updates

Introduction of Jvion CORE within the Navista platform uses AI and machine learning to analyze clinical and social determinants to improve patient care accuracy.

2022 Q1: no updates

2021 Q4: no updates

2021 Q3: no updates

2021 Q2

1 updates

Launch of the Navista suite of AI-enabled technology solutions marks a major step toward connected healthcare and AI-driven decision support.

2021 Q1: no updates

2020 Q4: no updates

2020 Q3: no updates

2020 Q2: no updates

2020 Q1: no updates

2019 Q4: no updates

2019 Q3

1 updates

Research involving more than 180 oncologists highlights attitudes toward AI and gamification in cancer care, showing sustained engagement with emerging healthcare technologies.

2019 Q2

1 updates

Oncologists express optimism about AI improving quality of patient care and outcomes, indicating early interest and positive attitude toward AI in oncology.