How to Use AI for Healthcare

Patients

Making sense of information and getting ready for appointments

Clinicians

Documentation, summaries, and support for decisions

Diagnostics

Assisting with image and test analysis

Operations

Scheduling, billing, and other admin work

Research

Reviewing literature and analyzing data

AI supports healthcare professionals. It never replaces them.

This guide offers general information, not medical advice.

• Have AI explain medical terms in plain language
• Prepare your questions before each appointment
• Summarize your own notes and symptoms over time
• Never swap a doctor for AI on diagnosis or treatment
• Call emergency services for any urgent symptoms

Explain this term from my test results in plain language, and list five questions to ask my doctor about it. Do not diagnose me.

Ambient AI scribes listen to visits, with the patient’s consent, and draft clinical notes for the clinician to review and sign. Many health systems use them to reduce documentation time and after-hours work.

AI tools can help surface findings in scans and tests for a clinician to review. In the US, the FDA has authorized more than a thousand AI-enabled medical devices, mostly in radiology.

• Drafting prior authorizations and claims
• Scheduling appointments and sending reminders
• Triaging patient messages and drafting replies
• Supporting billing codes

• Summarize studies and compare them
• Search large bodies of medical literature
• Support data analysis under proper oversight
• Verify every citation, since AI can invent them

• Follow health privacy laws such as HIPAA in the US and GDPR in Europe
• Use only approved tools backed by proper agreements, such as business associate agreements
• Keep patient data out of consumer AI tools
• Get consent before recording any visit

• Answers that sound confident but are wrong
• Bias when training data does not reflect every patient group
• Overreliance from busy staff
• Blurred responsibility when AI shapes a decision

• Begin with low-risk admin tasks
• Pick vendors that meet healthcare compliance standards
• Pilot with a small team and measure the results
• Train staff and keep clinicians in charge
• Track accuracy and patient feedback

• Clinical judgment and accountability
• Physical examination
• Hard conversations and empathy
• Informed consent