As CVS Health works on its engagement platform, others go live

CVS Health recently offered an update on its consumer engagement platform, which was initially announced in December 2025 and is now slated to be released by the end of the year. That timeline might put the retailer behind its competitors – and its insurance subsidiary, Aetna. 

In a March 5 statement, CVS Health announced a partnership with Google Cloud. The company’s Gemini AI models, Cloud Healthcare API, and BigQuery data platform will serve as the underlying infrastructure and architecture for CVS Health’s Heallth100 platform. This will allow the platform to provide a “real-time, omnichannel experience,” CVS Health said in its statement, and support “an open ecosystem approach” with specialized applications built atop it. 

As Healthcare Dive outlined, Health100 aims to help patients aggregate and analyze their data from disparate sources, offer recommendations for addressing acute and chronic conditions, schedule appointments, and estimate the cost of care – all powered by agentic AI, according to the company. The platform will launch sometime this year. 

Entering a crowded market

If much of that functionality sounds familiar, it should. CVS Health is the latest to join the healthcare AI platform party – and Health100’s timeline may leave the company watching its competitors move forward.  

Consider the news made since August 2025, listed below in chronological order: 

Epic integrated an AI assistant into the MyChart patient portal. Emmie can explain test results to a patient, recommend the next steps in a care journey, suggest appointment times, and otherwise engage in open-ended conversations.  

Oracle Health announced forthcoming AI capabilities for its portal, built on OpenAI models, which will help patients get plain-language context on diagnoses, test results, and treatment options. (This tool, too, is due for release something in 2026.) 

OpenAI introduced ChatGPT Health, a dedicated space for connecting health and wellness data and asking questions to help patients feel more informed, prepared, and confident navigating” and managing their health. For now, the service is waitlist-only. 

Walmart launched Better Care Services, giving patients with access to urgent care and behavioral health provider networks, virtual care services, healthy food recommendations, and the LillyDirect prescription ordering platform. 

Anthropic introduced Claude for Health, which primarily targets health systems but lets subscribers give Claude access to their health records, explain test results, detect patterns in the data, and prepare questions for upcoming appointments.  

Amazon initially launched its Health AI within One Medical, enabling patients to ask questions, book appointments, manage medications, get guidance, and connect to their care team as necessary. The company has since expanded access to Health AI to the Amazon app and website. 

Microsoft introduced Copilot Health, which aggregates health and wellness data and aims to surface “proactive and actionable insights” and make sense of the information patients already have. For now, the service is also waitlist-only. 

Interestingly, one company managed to come to market before the others: Aetna. The insurer and CVS Health subsidiary added AI tools to Aetna Health in July 2025 to give members with certain conditions personalized recommendations for clinical programs and in-network providers, along with access to a customer service chatbot.  

Waiting, watching – but not falling behind

Even if Health100 is late to the party, CVS Health may not find itself at much of a disadvantage. Creating an ecosystem will let Health100 add functionality quickly and without expending internal development resources. Emphasizing appointment scheduling and cost estimating could prove to be a differentiator, especially when Health100 is compared to generally available AI platforms not tied to clinical providers.  

Finally, many patients remain unfamiliar with AI’s large language models, and healthcare-specific AI tools need further testing. With guidance for patient use of AI similarly due for release by the end of the year, waiting and watching may prove a sensible strategy. 

Brian Eastwood is a Boston-based writer with more than 10 years of experience covering healthcare IT and healthcare delivery. He also writes about enterprise IT, consumer technology, and corporate leadership.