AI @ McKesson
Summary
- McKesson has progressively integrated AI across its healthcare supply chain, oncology data processing, and customer engagement functions from 2019 through 2025, emphasizing predictive analytics, virtual assistants, and large language models.
- Key initiatives include McKesson's partnership with Google Cloud to centralize data and use AI for healthcare predictions, adoption of chatbots and agent assistance technologies in 2022, and leveraging Microsoft Azure OpenAI technology by 2024 to transform unstructured oncology data with their Genuity platform.
- Recent advancements focus on AI-driven supply chain disruption predictions, precision oncology solutions, and deploying AI roles like AIOps and AI Integration Architects to scale automation and innovation, demonstrating increasing AI maturity and a strategic push to improve efficiency, reduce costs, and enhance customer experience.
VIBE METER
5 AI Use Cases at McKesson
Prior Authorization2025Customer Facing
Workflow Automation2025
Data Transformation2024
Supply Disruption2024
Customer Interaction2022Customer Facing
Timeline
2025 Q4: no updates
2025 Q3
McKesson's AI strategy leverages logistics scale and Rx technology innovation to dominate healthcare supply chain, distribution, and medication management.
2025 Q2
Showcased AI integration in healthcare provider solutions with postings for AI Integration Architect role; highlighted logistics AI innovations on LinkedIn; RISA Labs raised funding for AI prior authorization platform.
- McKesson: 2025 Asembia Summit Highlights the Connection Between Integration and Innovation
- McKesson Careers: AI Integration Architect - Healthcare Provider Solutions Job Posting
- Industry Intelligence Inc.: McKesson Corp. LinkedIn Highlights Logistics Innovation and AI Potential
- AJMC: Tech Updates: McKesson Launches Precision Oncology Consortium and RISA Labs AI Prior Authorization Platform Funding
2025 Q1
Continued AI focus showcased at the 2024 ASHP Midyear meeting; Ontada leveraged Microsoft Azure OpenAI Service to process 150 million unstructured oncology documents; McKesson hired AIOps Architect roles to drive automation.
2024 Q4
Ontada collaborated with Microsoft and Datavant to utilize Azure OpenAI technology within the GenuityTM platform for transforming unstructured oncology data, driving advanced real-world data analytics.
2024 Q3: no updates
2024 Q2
Expanded deployment and scaling of AI capabilities and predictive analytics to anticipate supply chain disruptions and shortages, enhancing operational resilience.
2024 Q1
Showcased revolutionary AI applications driving efficiency in healthcare operations, including advanced data analytics and customer engagement strategies.
2023 Q4
McKesson shared three AI use cases facilitated by partnerships, acquisitions, and corporate investments, marking a strategic approach to expand AI capabilities.
2023 Q3
Enterprise analytics leadership highlighted the use of supervised and unsupervised machine learning models as foundational to McKesson’s analytics work.
2023 Q2
Integration of AI within nuclear medicine to automate routine tasks, allowing physicians to focus on complex decision-making.
2023 Q1: no updates
2022 Q4: no updates
2022 Q3
Deployment of Interactive Virtual Assistants, chatbots, and agent assistance technologies to drive organizational efficiencies, highlighting AI use to improve customer interactions and operations.
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
Investments in building digital infrastructure to facilitate healthcare AI initiatives internally, signaling commitment to AI adoption.
2019 Q2
McKesson partnered with Google Cloud to centralize data management and utilize AI for healthcare predictions, marking the foundational phase of their AI adoption.