Microsoft and Mercy team up to bring generative AI to hospital care

Deciphering lab results is easily one of the most stressful parts of a hospital visit. Patients stare at medical jargon and out-of-range arrows, frantically searching the web while waiting for a doctor to call.

Microsoft wants to change that. On Sept. 27, the tech giant teamed up with Mercy, one of the 20 largest health systems in the U.S., on a multiyear alliance to bring generative AI directly into patient care and clinical workflows.

Starting with the everyday headaches

Instead of attempting to replace doctors, Mercy is using Microsoft Azure OpenAI Service to fix bureaucratic friction points that frustrate both patients and staff.

First, patients will get conversational, easy-to-understand explanations of their lab results. The goal is to help people actually understand what their numbers mean before stepping into an exam room, leading to more informed conversations with their care providers.

Second, Mercy is bringing generative AI to patient scheduling calls. The system will handle appointment booking while recommending relevant follow-up actions in the same conversation, aiming to cut down on annoying phone tag.

Finally, Mercy is launching an internal chatbot for its 45,000 co-workers. Nurses and staff can instantly pull up hospital policies, HR guidelines, benefits, and leave requirements without digging through intranets, freeing up more hours for actual bedside care.

Forty use cases in the pipeline

Mercy oversees more than 40 acute care hospitals and 900 clinic locations across states like Missouri, Arkansas, Kansas, and Oklahoma. This isn't just a pilot project.

According to Mercy leadership, the two teams are currently exploring more than four dozen AI use cases. They recently held a joint hackathon to test early prototypes and plan to roll out several new features by the middle of next year.

Mercy is also using Azure-powered dashboards to identify factors that delay patient discharges, aiming to reduce unnecessary days spent in hospital beds. The two partners plan to showcase these solutions at the Microsoft Technology Center in Chicago in 2024.

Why it matters

Healthcare is arguably the highest-stakes environment for generative AI, where a single hallucination can carry real-world liability. In our view, Microsoft and Mercy made a clever move by entirely bypassing automated diagnosis and clinical prescribing.

Instead, they targeted translation, scheduling, and administrative retrieval. These are the mundane, repetitive tasks that burn out clinicians and confuse patients, yet carry far fewer direct clinical risks. If a nurse spends 15 fewer minutes looking up policy documents each shift, that time goes directly back to patient care.

For the wider tech industry, this partnership provides a clear blueprint for regulated sectors. Rather than pitching moonshots that trigger instant regulatory pushback, the winning strategy for enterprise AI right now is quietly removing friction from the back office.