AI @ McKesson
Summary
- McKesson has steadily integrated AI technologies since 2019, with increasing focus on data centralization, enterprise analytics, predictive analytics, and automation especially in healthcare supply chain, oncology, and nuclear medicine.
- Partnerships and collaborations, such as with Google Cloud and Microsoft Azure, have been pivotal in advancing AI-driven solutions like large language models and predictive tools, supporting both internal efficiencies and customer-facing innovations.
- Recent efforts around 2024-2025 show McKesson emphasizing AI in logistics innovation, specialty pharmacy solutions, and large-scale oncology data transformation, highlighting a transition from foundational AI adoption to more mature, scalable applications with measurable business impact.
VIBE METER
5 AI Use Cases at McKesson
Clinical Insights2024
Supply Forecasting2024
Operational Automation2023
Customer Service2022Customer Facing
Data Integration2019
Timeline
2025 Q3
McKesson's AI strategy leverages logistics scale and Rx technology innovation to dominate healthcare supply chain, distribution, and medication management.
2025 Q2
McKesson highlights logistics innovation and AI potential in healthcare, launching specialty pharmacy solutions and exploring machine learning to tackle cost challenges.
2025 Q1
McKesson hires specialized AI Ops architects and demonstrates advanced use of large language models to target critical oncology data, alongside active AI discussions with customers.
2024 Q4
Through the GenuityTM platform and partnership with Microsoft, McKesson’s Ontada business transforms unstructured oncology data using Azure OpenAI technology.
2024 Q3: no updates
2024 Q2
McKesson scales AI and predictive analytics to anticipate and mitigate supply chain disruptions or shortages amidst healthcare sector innovation.
2024 Q1
McKesson Corporation actively revolutionizes healthcare with innovative AI applications, focusing on efficiency and improving healthcare delivery.
2023 Q4
McKesson shares three key AI use cases, emphasizing partnerships, acquisitions, and investments to scale AI solutions in healthcare.
2023 Q3
Christine Lawhead, Director of Enterprise Analytics, highlights the use of supervised and unsupervised machine learning models as foundational to McKesson’s AI efforts.
2023 Q2
Focus on AI in nuclear medicine to automate routine tasks, supporting nuclear medicine physicians and enhancing operational effectiveness.
2023 Q1: no updates
2022 Q4: no updates
2022 Q3
McKesson adopts Interactive Virtual Assistants and chatbots to enhance customer service efficiency and organizational workflows.
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
McKesson expands AI initiatives by building new digital infrastructure internally and investing in healthcare AI capabilities.
2019 Q2
McKesson partners with Google Cloud to centralize data management and leverage AI in healthcare predictions, marking the initial phase of digital transformation and AI adoption.