AI @ McKesson
Summary
- McKesson has progressively integrated AI technologies since 2019, leveraging cloud platforms like Google Cloud and Microsoft Azure to enhance healthcare data management and predictive analytics, particularly in oncology and supply chain operations.
- Recent initiatives include Ontada's collaboration with Microsoft to utilize Azure OpenAI for transforming unstructured oncology data, reflecting a shift to generative AI applications that improve clinical insights and operational efficiency.
- AI adoption at McKesson spans reducing administrative burdens, enabling predictive supply chain analytics, deploying interactive virtual assistants for customer engagement, and developing specialty pharmacy solutions, indicating an increasing maturity and strategic focus on AI to improve customer experience and reduce costs.
VIBE METER
4 AI Use Cases at McKesson
Administrative Automation2026
Data Extraction2025
Supply Prediction2024
Customer Engagement2022Customer Facing
Timeline
2026 Q2: no updates
2026 Q1
McKesson reiterated that investments in data infrastructure, automation, and AI significantly contributed to increased sales and operational efficiencies, while actively recruiting AI and automation expertise.
2025 Q4
McKesson expanded access to quality cancer care by leveraging advanced AI technologies and strategic partnerships to enhance oncology services.
2025 Q3
Analysis highlighted McKesson’s AI strategic dominance leveraging logistics scale and Rx technology innovation in healthcare supply chain and medication management.
2025 Q2
McKesson continued AI innovation by launching precision oncology consortium projects, AI integration architect roles, specialty pharmacy solutions, and exploring machine learning to address cost challenges.
2025 Q1
Ontada leveraged Microsoft Azure AI Foundry and Azure OpenAI Service to process 150 million oncology data points, demonstrating large language models in clinical data extraction and analysis.
2024 Q4
Ontada partnered with Microsoft and Datavant to transform unstructured oncology data using Azure OpenAI and accelerate oncology insights access, signaling advanced use of generative AI.
2024 Q3: no updates
2024 Q2
Scaling AI and predictive analytics helped McKesson anticipate supply chain disruptions and shortages, showing maturity in AI-driven logistics applications.
2024 Q1
The company revolutionized healthcare with innovative AI applications focused on efficiency and improvement in clinical outcomes.
2023 Q4
McKesson showcased three AI use cases: partnerships, acquisitions, and corporate venture investments to implement AI solutions enhancing healthcare capabilities.
2023 Q3
McKesson's Director of Enterprise Analytics highlighted using supervised and unsupervised machine learning models as the analytics foundation, emphasizing practical application of AI in enterprise data analysis.
2023 Q2
AI began automating routine tasks in nuclear medicine, enabling nuclear medicine physicians to concentrate on advanced care through applied AI-driven analytics.
2023 Q1: no updates
2022 Q4: no updates
2022 Q3
McKesson adopted AI-powered interactive virtual assistants and chatbots, improving organizational efficiencies, emphasizing AI's role in client communication and operational support.
2022 Q2: no updates
2022 Q1: no updates
2021 Q4: no updates
2021 Q3: no updates
2021 Q2: no updates
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
Focus on building digital infrastructure and AI investments internally indicated McKesson's strategy to facilitate healthcare AI initiatives for data-driven decision making.
2019 Q2
McKesson began centralizing data management and implementing AI for healthcare predictions by partnering with Google Cloud, marking initial AI adoption to transform healthcare data infrastructure.