Artificial Intelligence in Healthcare Companies
We analyzed the enterprise AI use cases of 9 healthcare companies to understand trends, impact, and insights.
Healthcare companies' adoption of AI
Overview
UnitedHealth has aggressively expanded its use of AI technologies, now boasting over 1,000 AI applications in production as of mid-2025, spanning areas from claims processing and customer service chatbots to data transcription and predictive analytics.
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.
Cigna has progressively adopted AI technologies from 2019 through 2025, evolving from using AI to monitor medication adherence and improve patient outcomes to launching advanced generative AI-powered virtual assistants and personalized digital tools in 2025 that enhance customer experience and operational efficiency with high user engagement.
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.
Elevance Health has progressively integrated AI technologies from 2023 through 2025, expanding from diagnostic enhancements and AI-powered concierge care to generative AI applications for personalized healthcare and operational efficiencies.
HCA Healthcare has progressively expanded its deployment of generative AI technologies across its network of 180+ hospitals from 2023 through 2025, focusing on improving clinical workflows, documentation, patient safety, and operational management.
Johnson & Johnson has progressively integrated AI across surgical applications, drug discovery, and supply chain optimization from 2024 to 2025, notably collaborating with Nvidia and Quantum Pharma to accelerate AI-driven innovation.
Merck has steadily increased its adoption and integration of AI technologies from late 2023 through 2025, focusing on generative AI and machine learning to accelerate drug discovery, optimize small molecule design, and enhance clinical study processes, achieving notable product developments such as the AI-designed KRAS G12C inhibitor MK-1084.
Pfizer has progressively embedded AI technologies since 2016, evolving from early ML and natural language processing collaborations towards extensive generative AI applications by 2024-2025, significantly accelerating drug discovery, clinical trials, and marketing content production.
45 Use Cases in Healthcare
| Company | Use Case |
|---|---|
| Elevance Health | Personalized Outreach Using AI for targeted patient alerts and reminders via text, app, or email helps close care gaps and improve patient adherence and engagement. generative |
| Elevance Health | Claims Processing AI-enhanced platforms unify and automate claims adjudication processes to improve accuracy and reduce turnaround times within Elevance’s Health OS platform. agentic |
| Cigna | Medical Imaging Cigna covers AI-powered medical imaging solutions nationwide, such as CT imaging and cardiovascular diagnostics, supporting earlier and more accurate disease phenotyping for better care management. traditional |
| HCA Healthcare | Patient Safety HCA deploys AI-driven tools such as fetal heart rate monitoring, medication error detection with wearable cameras, and stroke detection platforms to proactively identify and mitigate patient risks, enhancing overall care quality. traditional |
| Elevance Health | Workforce Training Elevance offers AI fluency certification programs to employees, empowering workforce skill development in AI to drive innovation and career advancement. traditional |
| Cigna | Provider Matching Using AI-driven personalized provider matching tools, Cigna helps members identify suitable healthcare providers based on their health needs and preferences, thereby improving decision-making and outcomes. traditional |
| Cigna | Virtual Assistance Cigna launched a generative AI-powered virtual assistant to provide personalized, conversational responses to customer inquiries about benefits, claims, and care options, improving engagement and simplifying health insurance interactions. generative |
| Merck & Co. | Digital Health Search Merck Manuals launched an AI-enhanced search tool to improve user experience by delivering faster and more accurate health information retrieval, supporting clinical and patient education. generative |
| Merck & Co. | Clinical Authoring Merck collaborated with McKinsey to develop generative AI applications to automate and expedite the creation of clinical study documents, reducing time and improving workflow efficiency in regulatory submissions. generative |
| Merck & Co. | Target Identification Merck applies AI models, including foundation models like TEDDY, to rapidly identify and validate biological targets, improving precision with a 10% accuracy gain and reducing target ID timelines from years to weeks. traditional |