News

Microsoft and Epic Systems have announced new integrations bringing generative AI directly into electronic health records (EHRs), aiming to reduce physician burnout and speed up documentation. At the same time, Mayo Clinic shared early results from pilot programs using AI for radiology scans and patient triage. (Microsoft press release, Healthcare IT News, Mayo Clinic report)

Summary & Stage / Timeline

• Microsoft + Epic: rolling out copilots to doctors across several U.S. hospitals this quarter.

• Mayo Clinic pilots: early 2025 results show up to 30% faster triage in radiology with AI assistance.

• Both initiatives are moving from small-scale pilots → wider adoption within the year.

Significance / What to Watch

Healthcare is one of the hardest industries for AI adoption (due to regulation, risk, and ethics). These moves show that clinical AI is shifting from hype to practice:

• Physician efficiency: AI copilots could save doctors hours each day.

• Patient outcomes: Faster triage and diagnostics could directly impact survival rates in critical cases.

• Ethics & trust: With sensitive health data, transparency and accountability will be under a microscope.

Expect acceleration as other health systems follow — and as regulators race to keep pace with safe deployment standards.

Prompt Tip of the Day

If you’re building health-related workflows or knowledge bases with AI, clarity matters most. Try prompts like:

"You are a medical assistant tasked with drafting a clinical note for a cardiology patient. Summarize the encounter in structured bullet points: symptoms, diagnosis, treatment plan. Keep it factual, concise, and free of speculation."

This structure mirrors how hospitals are actually implementing copilots: structured, auditable, and directly useful for professionals.