AI exposure: Emergency Medicine Physicians
Make immediate medical decisions and act to prevent death or further disability. Provide immediate recognition, evaluation, care, stabilization, and disposition of patients. May direct emergency medical staff in an emergency department.
Reading this score
computedAt 16.5% of weighted task load, Emergency Medicine Physicians sits at the 28th percentile, below the point where a job's centre of gravity has moved. 53.4% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is accountability. Across this occupation's 17 tasks it averages 2.94 out of 3, the highest of the five friction dimensions. In plain terms, someone licensed has to sign the work. Capability and permission are different things. Where a statute or a professional body requires a named, liable human to approve the output, the work can be drafted by a machine and still require the person.
The most exposed thing this job does is Analyze records, examination information, or test results to diagnose medical conditions, at 40.0%. The least is Perform such medical procedures as emergent cricothyrotomy, endotracheal intubation, and..., at 0.0%. A gap of 40.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within healthcare practitioner and technical occupations, this one is less exposed than the median of 18.5% across the group's 89 roles, with 55 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 17 tasks, 1 are currently banded exposed, 12 assisted and 4 untouched. For that distribution to shift materially would take a change in who is permitted to sign the work, which is a question for regulators rather than for engineers. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.88 | 0-4 |
| Embodiment | 0.93 | 0-3 |
| Presence | 1.92 | 0-3 |
| Accountability | 2.94 | 0-3 |
| Context | 2.00 | 0-3 |
| Verification cost | 2.94 | 0-3 |
Task by task
17 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Analyze records, examination information, or test results to diagnose medical conditions. | 40.0% | 35.0% | 25.0% | 4.90 | exposed |
| Collect and record patient information, such as medical history or examination results, in electronic or handwritten medical records. | 35.0% | 40.0% | 25.0% | 4.57 | assisted |
| Evaluate patients' vital signs or laboratory data to determine emergency intervention needs and priority of treatment. | 30.0% | 45.0% | 25.0% | 5.00 | assisted |
| Identify factors that may affect patient management, such as age, gender, barriers to communication, and underlying disease. | 30.0% | 45.0% | 25.0% | 4.46 | assisted |
| Communicate likely outcomes of medical diseases or traumatic conditions to patients or their representatives. | 25.0% | 50.0% | 25.0% | 4.83 | assisted |
| Select and prescribe medications to address patient needs. | 18.3% | 31.7% | 50.0% | 4.72 | assisted |
| Consult with hospitalists and other professionals, such as social workers, regarding patients' hospital admission, continued observation, transition of care, or discharge. | 16.7% | 33.3% | 50.0% | 4.86 | assisted |
| Discuss patients' treatment plans with physicians and other medical professionals. | 16.7% | 33.3% | 50.0% | 4.47 | assisted |
| Refer patients to specialists or other practitioners. | 16.7% | 33.3% | 50.0% | 4.37 | assisted |
| Select, request, perform, or interpret diagnostic procedures, such as laboratory tests, electrocardiograms, emergency ultrasounds, and radiographs. | 13.3% | 36.7% | 50.0% | 5.00 | assisted |
| Monitor patients' conditions, and reevaluate treatments, as necessary. | 13.3% | 36.7% | 50.0% | 4.83 | assisted |
| Assess patients' pain levels or sedation requirements. | 13.3% | 36.7% | 50.0% | 4.40 | assisted |
| Conduct primary patient assessments that include information from prior medical care. | 10.0% | 40.0% | 50.0% | 4.83 | assisted |
| Direct and coordinate activities of nurses, assistants, specialists, residents, and other medical staff. | 5.0% | 20.0% | 75.0% | 4.73 | untouched |
| Perform emergency resuscitations on patients. | 0.0% | 0.0% | 100.0% | 5.00 | untouched |
| Stabilize patients in critical condition. | 0.0% | 0.0% | 100.0% | 5.00 | untouched |
| Perform such medical procedures as emergent cricothyrotomy, endotracheal intubation, and emergency thoracotomy. | 0.0% | 0.0% | 100.0% | 5.00 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.