AI Training by Industry · Hospitals

🏥 AI training for hospital and healthcare employees

All-employee track · Executive track · 2–8 hour formats · This page lists estimated fees and whether Employment Insurance refunds apply.

In hospital AI training, patient information has to be settled first. Medical records, test results, and patient identifiers are never entered into external generative AI services. If hands-on practice starts while that line is still unclear, the training itself becomes a risk.

Once that line is drawn, it becomes clear what to work on. Much of hospital work is administration outside patient care. Plans and reports, accreditation documents, staff training materials, patient notices, and promotional content can all be handled without patient information, and there is a lot of it.

What hospitals and healthcare organizations actually do with AI

These are the tasks you practice in training. We work with real documents from your company, collected in advance, not another company’s examples.

Task	What you do with AI
Drafting administrative reports and plans	Build outlines for department business plans, performance reports, and committee agenda materials, and add a summary.
Healthcare accreditation documents	List the required documents for each standard, compare the list with your existing regulations, and flag anything missing.
Plain-language patient notices	Rewrite test-prep instructions, pre- and post-surgery precautions, and consent explanations at a level patients can understand. Medical content is reviewed by the responsible staff member.
Staff training and education materials	Create slides, quizzes, and case discussion materials for infection control, patient safety, and service etiquette training.
Meeting minutes and committee materials	Organize meeting notes into decisions, deferred items, and follow-ups, and even draft the agenda for the next meeting.
Promotional and recruiting content	We draft department introductions, health-information content, and job postings, and check each one for wording that could violate medical advertising rules.

What we always consider when designing training for hospitals and healthcare organizations

These are the points where a generic office-worker curriculum falls flat.

Patient information is off-limits, no exceptions — Medical records, test results, and patient identifiers are never entered. We lock in this rule in the first session and give you a checklist to keep.

Never for diagnosis or treatment decisions — Generative AI is not a clinical decision tool. The training does not cover clinical decision-making; it stays focused on administration and communication.

Shift work makes it hard to get everyone together — When nursing staff are included, the same content has to be delivered over several sessions. Sessions of 1–2 hours work best.

Curriculum ① All-employee and practitioner track

Half-day (4-hour) agenda

Audience All office and administrative staff, from team members to team leads. It’s fine if more than half have never used AI.
Goal Everyone leaves having handed one real task from their own desk to AI.

#	Module	Details	hours
1	What works and what doesn’t right now	In one session, we compare how ChatGPT, Gemini, and Claude differ in real work and what you get with paid plans versus free ones. It is not a tool showcase. It gives you what you need to decide which tools to turn on for your company account.	30 min
2	Giving AI instructions — the 4 elements of a prompt	Role, context, format, verification. The difference between people who use AI well and those who don't is not talent but whether they leave out one of these four. We give the same task a poor instruction and a good one, and compare the results side by side.	45 min
3	Six uses you can apply right away in hospitals and healthcare organizations	This session is the heart of the course. We collect real documents from your company in advance and practice with them. With another company’s examples, what you learn doesn’t follow you back to your desk. Administrative report and plan drafts — Build outlines for department business plans, performance reports, and committee agenda materials, and add a summary. Healthcare accreditation documents — List the required documents for each standard, compare the list with your existing regulations, and flag anything missing. Plain-language patient notices — Rewrite test-prep instructions, pre- and post-surgery precautions, and consent explanations so patients can understand them. A designated staff member reviews all medical content. Staff training and education materials — Create slides, quizzes, and case discussion materials for infection control, patient safety, and service etiquette training. Meeting minutes and committee materials — Sort meeting notes into decisions, deferred items, and follow-up actions, then draft the agenda for the next meeting. Promotional and recruiting content — Draft department introductions, health information content, and job postings, and check them for wording that breaches medical advertising rules.	55 min
4	Creating documents — from draft to approval	We take reports, internal approval memos, and emails from first draft to final version, always finishing by stripping out the AI tone and rewriting them in your organization’s own voice.	40 min
5	Working with data — tables, meeting notes, long documents	Organizing Excel tables, summarizing meeting recordings, and finding just the clauses you need in long policy documents. This is where the tasks people used to spend the most time on get faster.	35 min
6	What not to do — confidential information, hallucinations, copyright	What must never go into an AI tool, how to catch facts the AI makes up, and how far you can use its output under your company’s name. Skip this session, and the training itself can lead to an incident. Patient information is off-limits, no exceptions — Medical records, test results, and patient identifiers are never entered. We lock in this rule in the first session and give you a checklist to keep. Never for diagnosis or treatment decisions — Generative AI is not a clinical decision tool. The training does not cover clinical decision-making; it stays focused on administration and communication. Three-shift schedules make it hard to get everyone together — When nursing staff take part, the same content needs to run over several sessions. Blocks of 1–2 hours are the most practical.	35 min

Program ② Executive and team lead track

Standard format for a 2-hour session

Audience Executives, division heads, team leads and other managers — leaders who need to know 'what needs deciding' rather than how to use the tools themselves.
Goal To leave the room with clear decisions on what to do first and what to prohibit when bringing AI into the organization.

#	Module	Details	hours
1	Where you stand today	We cover only what has actually changed in the past year. Not technology forecasts, but what is already happening inside companies — starting from the fact that employees are already using AI.	30 min
2	Where change comes first in hospitals and healthcare organizations	The same technology hits each industry in a different place. We identify which tasks in this sector change first. Cut the admin load first — Start with administrative and documentation work, not clinical work. We identify which documents, in which departments, to tackle first so the workload actually goes down. Patient data protection and hospital policy — Once staff start using personal accounts, you can no longer control how AI is used. We work with you on the wording for your hospital-wide usage policy.	35 min
3	How to adopt AI — start with tasks, not tools	If you start by buying accounts, most go unused within three months. We flip the order: choose the tasks first, then measure the results.	30 min
4	Four decisions leaders must make	What is allowed, what is prohibited, tools and budget, and how to measure results. You leave with draft wording written that same day.	25 min

Training hours and cost

Estimated fees are based on our published standard rates (Korean-language delivery, up to 30 participants per class). 2026 published standard rates, in units of KRW 10,000 (≈ US$7). VAT, materials, travel, and customization are extra.

Format	Format	Estimated fee
2-hour lecture	We condense this into the first three modules (the tool landscape · the 4 elements of a prompt · industry use cases). The goal: 'Try at least one thing before you leave.'	About KRW 1.2 million (≈ US$900)
4-hour half-day workshop	All six modules, with half the time spent on hands-on practice. The format most clients choose.	About KRW 2.4 million (≈ US$1,800)
8-hour full-day program	Six modules (240 minutes) plus 240 minutes of team practice and presentations. Each team picks one of its own tasks and finishes it that same day.	About KRW 4 million (≈ US$2,990)

Sessions in English are KRW 800,000 (≈ US$600) per hour. Multi-session programs and public-sector or tender projects are priced separately — contact us for details.

Is it eligible for Korean employment insurance reimbursement?

Nanum Consulting’s on-site training is not an Employment Insurance reimbursement (employer-commissioned training) program.

To receive an employment insurance refund, training must be delivered as commissioned training under a course approved by the Ministry of Employment and Labor. Nanum Consulting does not hold training course approval, so our on-site training is not eligible for refunds.

If a refund is a requirement for budget approval, please tell us when you first contact us. We will point you to a route that fits that requirement, and if we are not the right fit, we will say so. Learning after you have started that no refund is available is far worse for both sides.

Budgets often work out without a refund. A 2-hour session at KRW 1.2 million (≈ US$900) comes to KRW 40,000 (≈ US$30) per person for 30 participants, and is fully deductible as a training expense. Refund-eligible courses must follow a fixed standard curriculum, but without a refund we can build the curriculum around your own work and real documents.

Get a proposal for this program

We bundle the curriculum and an estimated quote into a single PDF and send it right away. No phone number needed, just your name and email. We’re happy to talk even if your requirements aren’t settled yet, and we reply within 24 hours.

📄 Get the proposal by email 📩 Talk to our team 💰 Quote calculator

Questions hospital and healthcare managers often ask

Can we enter medical records or patient information into AI?

No. Medical records, test results, and patient identifiers must not be entered into external generative AI services. In the first session we set this boundary and put it in writing as a checklist. Hands-on practice uses only administrative documents and notices that contain no patient information.

Do you cover using AI for diagnosis or prescriptions?

No. This program is for administrative, documentation, and communication work; clinical decision support requires separate validation and regulation. We state that boundary clearly in the training and make explicit that AI is not to be used for clinical judgment.

Can the session focus on "skills AI can’t replace" rather than how to use AI?

Yes. In fact, hospitals request this topic more often. Instead of tool training, we build a 1–2 hour session on what AI cannot easily do and where people remain essential in healthcare work. Tell us which direction you prefer when you contact us, and we will design the curriculum around it.

See Other Industries

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The curriculum on this page is a standard format; in practice we adjust it to reflect your work documents and pre-training assessment results. Amounts shown are estimated fees based on our published standard rates, and VAT, materials, travel, and customization costs are extra.