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 artificial intelligence since 2019, starting with oncology insights and expanding into AI-enabled platforms like the Navista suite and Jvion CORE to improve patient care and clinical workflows.
  • Leadership and organizational focus on AI intensified through the establishment of an AI Center of Excellence led by Anagha Vyas by mid-2025, alongside strategic partnerships (e.g., Palantir) and major acquisitions (e.g., Specialty Networks for $1.2bn) to scale AI capabilities in supply chain and analytics.
  • Current AI applications focus on clinical decision support, supply chain optimization, documentation automation, and workforce productivity, leveraging cloud infrastructure and advanced models, with a strong emphasis on responsible and ethical AI adoption to reduce costs and enhance patient care experience.

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4 AI Use Cases at Cardinal Health

Warehouse Automation
2025
Traditional
Generative
Agentic
Outcome
Costs
With the implementation of a cloud-based, AI-driven warehouse management system, Cardinal Health enhances fulfillment center operations and supply chain response times. [1]
Clinical Documentation
2024
Traditional
Generative
Agentic
Outcome
Costs
Cardinal Health utilizes AI, including generative models, within the Navista platform and dedicated AI Center of Excellence initiatives to streamline and simplify clinical documentation and clinician workflows. [1]
Supply Chain Optimization
2023
Traditional
Generative
Agentic
Outcome
Costs
Through partnerships with Palantir and internal AI initiatives, Cardinal Health integrates AI and machine learning to develop clinically integrated supply chain solutions that optimize inventory and distribution efficiency. [1]
Patient Matching
2022
Customer Facing
Traditional
Generative
Agentic
Outcome
Cardinal Health employs AI through the Jvion CORE platform to analyze patients' clinical and social determinants to ensure patients receive appropriate and personalized care. [1]

Timeline

2025 Q4: no updates

2025 Q3

2 updates

Recruitment continues for senior AI leadership roles, including Vice President and Senior Data Scientist positions, reflecting ongoing investment in AI talent and innovation.

2025 Q2

3 updates

Expansion of AI leadership with Director role for the AI Center of Excellence filled by Anagha Vyas; initiatives include AI STEM tech camps encouraging diversity in technology.

2025 Q1

2 updates

Launch of Cardinal Health's AI Center of Excellence to identify promising AI use cases; new AI-driven cloud-based warehouse and fulfillment system enhances operational efficiency.

2024 Q4: no updates

2024 Q3

1 updates

Comprehensive educational session on AI and ML in laboratory and point-of-care testing contexts, reinforcing AI adoption in clinical diagnostics.

2024 Q2

2 updates

Discussions on balancing the promise and pragmatism of AI, emphasizing future applications like diagnostics, patient engagement, and clinical workflow simplification.

2024 Q1

1 updates

Acquisition of Specialty Networks for $1.2bn expands AI capabilities with Specialty Networks' PPS Analytics platform, reinforcing AI-driven analytics growth.

2023 Q4: no updates

2023 Q3

1 updates

Published analysis of two AI use cases that underline AI's role in supporting Cardinal Health business goals.

2023 Q2

1 updates

Amy Valley, VP Clinical Strategy & Technology at Cardinal, discusses AI's pros and cons in oncology, acknowledging both benefits and risks of AI integration in clinical workflows.

2023 Q1

1 updates

Partnership with Palantir launched to deliver clinically integrated supply chain solutions utilizing AI, ML, and advanced cyber security technologies.

2022 Q4

1 updates

Significant application of Google Cloud and NetApp for AI-driven app modernization, leveraging Compute Engine, GKE, BigQuery, and Vertex AI for patient-centric solutions.

2022 Q3: no updates

2022 Q2

1 updates

Integration of Jvion CORE AI within the Navista platform to analyze patient clinical and social determinants, enhancing personalized care matching.

2022 Q1: no updates

2021 Q4: no updates

2021 Q3: no updates

2021 Q2

1 updates

Launch of the Navista suite of AI-enabled connected solutions, marking a formal push into AI-powered healthcare technology.

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 180 oncologists indicates receptivity to AI and gamification technologies enhancing cancer care engagement.

2019 Q2

1 updates

Oncologists surveyed show optimism around AI improving quality of patient care, marking early recognition of AI potential in oncology.