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 into healthcare and supply chain operations since 2019, with notable milestones including the launch of the Navista suite in 2021 and acquisition of Specialty Networks in 2024 for its AI-based analytics capabilities.
  • The company has invested substantially in AI leadership and talent, establishing an AI Center of Excellence led by Anagha Vyas by 2025, and recruiting senior roles focused on advanced AI and generative AI solutions targeting clinical, supply chain, and operational improvements.
  • Recent emphasis on AI involves combining generative and traditional AI models for clinical documentation, supply chain automation, demand forecasting, and patient care optimization, underscoring a maturing AI strategy aimed at reducing costs, improving customer experience, and increasing revenue.

VIBE METER

More AI announcements = more VIBE
Q1 23Q2 23Q3 23Q4 23Q1 24Q2 24Q3 24Q4 24Q1 25Q2 25Q3 25Q4 25Q1 26🔥🔥🔥🔥

5 AI Use Cases at Cardinal Health

Supply Forecasting
2025
Traditional
Generative
Agentic
Outcome
Costs
AI and machine learning systems support demand forecasting and inventory optimization in pharmaceutical supply chain management to reduce waste and ensure product availability. [1]
Supply Chain Automation
2025
Traditional
Generative
Agentic
Outcome
Costs
AI-driven warehouse and fulfillment systems utilize cloud-based AI to automate pharmaceutical distribution processes reducing errors and improving efficiency. [1]
Clinical Documentation
2024
Traditional
Generative
Agentic
Outcome
Costs
Using generative AI, Cardinal Health is streamlining clinical documentation and clinician workflows, reducing administrative burden and improving documentation quality. [1]
Predictive Analytics
2024
Traditional
Generative
Agentic
Outcome
Risk
Partnership with Palantir and acquisition of AI-based analytics platforms enable clinically integrated supply chain solutions with predictive analytics for better inventory and recall management. [1][2]
Patient Risk
2022
Customer Facing
Traditional
Generative
Agentic
Outcome
Cardinal Health uses AI, including Jvion CORE, to analyze clinical and claims data to predict patient health risk and optimize care delivery pathways. [1]

Timeline

2026 Q1: no updates

2025 Q4

1 updates

Cardinal Health invests in automation and AI for demand forecasting and pharmaceutical distribution modernization to optimize supply chain.

2025 Q3

1 updates

Senior Data Scientist and VP AI roles posted emphasizing generative AI, RAG, and healthcare data science for improved outcomes and innovation.

2025 Q2

1 updates

Anagha Vyas named Director and Head of AI Center of Excellence; company focuses on digital tool expansion and STEM tech camps with AI components.

2025 Q1

1 updates

AI Center of Excellence identified promising AI use cases and launched AI-driven warehouse and fulfillment system using cloud-based AI and automation.

2024 Q4: no updates

2024 Q3

1 updates

Educational session provided about AI and machine learning applications in laboratory and point-of-care testing contexts.

2024 Q2

1 updates

Focus on balancing promise and pragmatism of AI including generative AI to improve diagnostics, patient engagement, and clinical documentation.

2024 Q1

1 updates

Acquisition of Specialty Networks for $1.2 billion gains access to AI-based PPS Analytics platform.

2023 Q4: no updates

2023 Q3

1 updates

Publication highlighting two AI use cases at Cardinal Health demonstrating AI's support of business goals.

2023 Q2

1 updates

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

2023 Q1

1 updates

Partnership with Palantir to develop a clinically integrated supply chain solution leveraging AI and advanced technologies.

2022 Q4

1 updates

Adoption of Google Cloud services, including Compute Engine, BigQuery, and Vertex AI to build patient-centric AI applications.

2022 Q3: no updates

2022 Q2

1 updates

Jvion CORE, part of Navista, uses AI and machine learning to analyze clinical and claims data to help patients receive appropriate care.

2022 Q1: no updates

2021 Q4: no updates

2021 Q3: no updates

2021 Q2

1 updates

Launch of Navista suite of AI-enabled connected technology solutions for healthcare.

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

Over 180 oncologists express views on AI and gamification as emerging technologies in cancer care.

2019 Q2

1 updates

Oncologists recognize growing potential for AI to enhance patient care quality and outcomes.