Jobs › Healthcare Practitioners and Technical
AI exposure report
Will AI replace General Internal Medicine Physicians?
Some of your tasks will be automated. People who use AI will have the edge.
Task exposure to today's AI
Moderate exposure
This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.
Get your personal scoreWill AI replace General Internal Medicine Physicians?
Not entirely. Today's AI tools can take on about 37% of the typical work in this occupation, mostly: explain procedures and discuss test results or prescribed treatments with patients. The parts that stay human include: Treat internal disorders, such as hypertension, heart disease, diabetes, or problems of the lung, brain, kidney, or gastrointestinal tract.; Prescribe or administer medication, therapy, and other specialized medical care to treat or prevent illness, disease, or injury.; Provide and manage long-term, comprehensive medical care, including diagnosis and nonsurgical treatment of diseases, for adult patients in an office or hospital..
People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.
Which tasks AI can take on
The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.
+ 13 more tasks (40% of the week) in the full test.
Your human edge
- Treat internal disorders, such as hypertension, heart disease, diabetes, or problems of the lung, brain, kidney, or gastrointestinal tract.
- Prescribe or administer medication, therapy, and other specialized medical care to treat or prevent illness, disease, or injury.
- Provide and manage long-term, comprehensive medical care, including diagnosis and nonsurgical treatment of diseases, for adult patients in an office or hospital.
AI tools to try
Clinical documentation and transcription assistantsChatGPT / Claude for patient information (no patient data)Clinical decision support in your systemsRelated roles
A 3-phase AI learning plan
Phase 1
Less documentation time
- AI transcription and note drafting where your organisation allows it.
- Patient information leaflets in plain language.
- Never put identifiable patient data into public tools.
Project
Use an approved AI scribe on 10 de-identified mock visits to draft notes and a plain-language leaflet, then measure minutes saved per encounter.Phase 2
Evidence and decision support
- Guideline and literature summaries with AI, checked in the source.
- Understand how decision-support tools reach their output.
- Know the limits and liability.
Project
Pick 3 recent guideline updates (e.g. hypertension, diabetes, COPD) and build AI-generated summaries, verifying each claim against the source document.Phase 3
AI in care processes
- Coordination, scheduling and handover with AI help.
- Take part in your organisation's AI projects.
- Teach colleagues safe use.
Project
Design and pilot an AI-assisted handover template for one ward week, then survey colleagues on time saved and errors caught versus the old process.