수술실 간호사

한국에서 수술실 간호사는 매우 중요한 역할을 하며, 환자의 안전과 수술의 성공을 보장하는 데 기여합니다. 의료 분야는 지속적으로 성장하고 있으며, 젊은 세대에게 매력적인 경력 경로로 자리잡고 있습니다. 수술실 간호사는 팀의 일원으로서, 환자에게 긍정적인 영향을 미칠 수 있는 기회를 제공합니다.

수술실 간호사

8

Nursing and Midwifery

AI IMPACT
AI CAN DO8%moving to54%
THE DOOR, NOWB
THE DOOR, 20 YRSC
STARTING PAY£28,000 - £33,000
REGULATORY MOATThe law requires human oversight. That human could be you.
This job holds up well against AI
AI cannot yet do much of what this job actually involves, and the law requires human oversight. That human could be you. That is about as safe as careers get right now, though it is still worth learning to use the tools well.

Career progression path

Is this the only route?

This is the standard academic trajectory, but modern careers are highly flexible. You can often skip stagesby entering the industry with an advanced qualification (like a Master's or PhD), or pivot sideways from a related discipline.

0ACADEMIC FOUNDATIONUniversity DegreeUsually 3 to 4 years of full-time academic study, explicitly preparing you for the theoretical realities of the industry. Requires A-Levels, BTECs, or equivalent Level 3.-£82,470Avg. UK tuition & living
1FIRST STEP주니어 수술실 간호사병원에서 경력을 시작하고 수술 간호의 기초를 배웁니다.£28,000 - £33,000
2GAINING EXPERIENCE중간 수술실 간호사더 많은 책임을 지고 소규모 팀을 이끌 수 있습니다.£36,000 - £45,000
3PEAK CAREER시니어 수술실 간호사복잡한 수술을 주도하고 신입 간호사를 교육합니다.£50,000+

Recommended UK degrees

Real courses that qualify you for this career, from the same register that priced the degree above.

Careermash

Careermash: navigate your career path with real data. Explore career profiles, salary benchmarks, AI impact forecasts, and the qualifications you need to get there.


AI EXPOSURE = the share of a job's day-to-day tasks AI can already do today, from the same exposure engine used across this site (Anthropic labour market research, 2026, observed real-world AI usage by occupation). Higher means more exposed. It is a measurement of now, not a prediction. THE DOOR = how hard the job is to get into, grade A (easy) to E (extremely hard), from each career's published forecast (OpenAI, "The AI Jobs Transition Framework", Richmond 2026, CC BY 4.0). A card marked MOAT NOT YET CLASSIFIED has a real exposure score but no entry yet in our moat register, so we make no claim about what structurally protects it. Scorecard grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions. Salary and pathway figures are each career's own published profile. Careermash is a service provided by What School Ltd.

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