Training course · Claude Code · Healthcare

Claude Code for Healthcare Professionals

Agentic coding with Claude Code in the terminal and IDE: CLAUDE.md, subagents, hooks, MCP, CI pipelines and secure permissions.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects Claude Code with the everyday processes of Healthcare. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Claude Code is not only for professional developers. Business users with no programming background can use it to analyse data, clean up Excel and CSV files, generate reports or build small internal tools, all in plain language. You describe what should happen, and Claude Code writes and runs the necessary scripts itself. This course variant shows you how to put these capabilities to work in your daily job without needing to understand code, and how to check the results reliably before anyone relies on them.

You will work through realistic office scenarios: merging exports from several systems, producing analyses with charts, generating documents and mail merges automatically, or turning repetitive file chores into a single command. Working safely is a central theme: which data may be processed, how you stay in control of approvals, and when to involve your IT department. The result is a set of useful helpers that take load off your team while remaining transparent and easy to hand over.

Hospitals, practices, care homes and health insurers struggle with staff shortages and a heavy documentation burden that takes valuable time away from patients. Generative AI can provide targeted relief: AI assistants help draft discharge letters and reports, summarise guidelines and studies, write patient information in plain language and support quality reports, rosters and administrative tasks. Automation speeds up appointment management, enquiry handling and internal communication. At the same time, the strictest requirements apply: health data is specially protected, medical confidentiality and professional rules must be observed, and software with a medical purpose may qualify as a medical device. AI in healthcare must therefore distinguish clearly between administrative support and clinical decisions, be operated securely and remain under the responsibility of qualified professionals.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Physicians in hospitals and practices
  • Nurses and nursing managers
  • Hospital and practice managers
  • Clinical coding and medical controlling staff
  • Quality management and administration in healthcare facilities

Typical challenges we address

  • Coping with heavy documentation alongside patient care
  • Keeping up with current guidelines and evidence
  • Informing patients clearly and in several languages
  • Running administrative, quality and billing processes with limited staff

What you will be able to do

  • You commission data analyses and file tasks from Claude Code in plain language.
  • You clean and combine Excel and CSV data and check the results for plausibility.
  • You automate recurring document and reporting tasks with reusable instructions.
  • You have small internal helper tools built and refine them step by step.
  • Use AI to reduce the burden of documentation, patient information and administration.
  • Distinguish confidently between administrative AI applications and regulated medical devices.
  • Protect patient data in line with the GDPR, medical confidentiality and professional rules.

Course outline

Day 1

Module 1 Getting started without coding skills
  • What a coding agent is and what it is allowed to do on your computer
  • Launching Claude Code and setting up a protected working folder
  • Describing tasks in everyday language: goal, input files, expected result
  • Understanding approval prompts and consciously accepting or declining them
Module 2 Analysing data in Excel and CSV files
  • Cleaning exports: duplicates, date formats, missing values
  • Combining several tables and calculating key figures
  • Producing charts and summaries as Excel files or images
  • Sanity-checking results with spot checks and cross-calculations
Module 3 Automating documents and routine tasks
  • Generating reports, minutes and mail merges from templates and data
  • Renaming, sorting and converting files automatically
  • Saving recurring procedures as reusable instructions
  • Writing a simple team guide in CLAUDE.md
Module 4 Building small scripts and internal tools
  • From idea to working helper: stating requirements clearly
  • Having simple input forms or local web interfaces created
  • Improving step by step: describing problems instead of debugging yourself
  • Documenting results so colleagues can use them

Day 2

Module 5 Working safely and responsibly
  • Handling personal and confidential data correctly
  • Limiting permissions and working only in approved folders
  • Recognising limits: when a tool should be handed over to IT
  • Coordinating with IT, data protection and business owners
Module 6 Hands-on project: your own solution for Healthcare
  • Patient leaflet generator – An app that converts approved medical texts into plain language and several languages and outputs a print-ready leaflet.
  • Roster assistant – An internal tool that records preferences, qualifications and minimum staffing levels and generates roster proposals with conflicts highlighted.
  • Hygiene plan checklist – A small app that turns hygiene plans into area-specific checklists and documents completion digitally for internal inspections and audits.
Module 7 Data protection, quality & transfer to daily work
  • Health data is a special category under Article 9 GDPR and subject to medical confidentiality, in Germany under Section 203 of the Criminal Code; it may only be processed in approved, contractually secured environments. Software with a medical purpose, such as diagnostic or therapy support, can be a medical device under the MDR and is then high-risk AI under the EU AI Act.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Drafting letters and reports

An AI assistant in an approved environment structures findings and progress notes into a draft discharge letter or report, which the responsible physician fully reviews and corrects.

Summarising guidelines and studies

AI summarises guideline recommendations, studies and product information and compares key statements, as a starting point for continuing education and with references to the original sources for verification.

Patient information

Clinical content is turned into clear patient information, plain-language supplements to consent materials and leaflets in several languages, which are medically reviewed and approved.

Nursing documentation support

AI helps turn bullet points into structured nursing reports and handovers, draft care plans and harmonise wording, while the nurse remains responsible.

Quality and administrative documents

Procedures, hygiene plans, quality reports and training materials are created and updated with AI support, without the need for any patient data.

Enquiry and appointment management

Automations sort incoming enquiries from patients and referring physicians, answer standard organisational questions and prepare appointment suggestions, while medical questions go to qualified staff.

Possible hands-on projects

Patient leaflet generator

An app that converts approved medical texts into plain language and several languages and outputs a print-ready leaflet.

Roster assistant

An internal tool that records preferences, qualifications and minimum staffing levels and generates roster proposals with conflicts highlighted.

Hygiene plan checklist

A small app that turns hygiene plans into area-specific checklists and documents completion digitally for internal inspections and audits.

Prerequisites

No programming knowledge is needed; confident use of Excel, files and folders on your own computer is sufficient. You work in a healthcare organisation, in a clinical, nursing, administrative or management role.

Technical requirements

Your own laptop with admin rights, Git, a Node.js runtime and an up-to-date editor; a Claude subscription or Anthropic API access is required for the exercises.

Data protection & compliance

Health data is a special category under Article 9 GDPR and subject to medical confidentiality, in Germany under Section 203 of the Criminal Code; it may only be processed in approved, contractually secured environments. Software with a medical purpose, such as diagnostic or therapy support, can be a medical device under the MDR and is then high-risk AI under the EU AI Act.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Wed, 25 November 2026 – Thu, 26 November 2026 Online Request
  • Thu, 10 December 2026 – Fri, 11 December 2026 Bremen Request
  • Thu, 14 January 2027 – Fri, 15 January 2027 Online Request
  • Mon, 25 January 2027 – Tue, 26 January 2027 Salzburg Request
  • Wed, 10 February 2027 – Thu, 11 February 2027 Online Request
  • Tue, 16 February 2027 – Wed, 17 February 2027 Kaiserslautern Request

Frequently asked questions

How is Claude Code different from traditional code completion?

Code completion suggests the next few lines, whereas Claude Code acts as an agent that handles whole tasks: it searches the repository, plans changes across several files, runs tests and commands, and corrects itself based on the results. You define the goal and review the outcome instead of steering every single line yourself.

Is Claude Code secure enough for enterprise use?

By default, Claude Code asks for approval before editing files or running commands. Permission rules, sandboxing, managed settings and hooks let you define precisely what the agent may do. During the course you learn to configure these mechanisms to match your security and data protection requirements and to assess risks such as prompt injection.

Does Claude Code work with my language and tech stack?

Yes. Claude Code is language-agnostic because it works with files, terminal commands and your existing build and test tooling. Whether you use Python, Java, TypeScript, Go, SAP-related code or infrastructure as code, what matters most is a well-written CLAUDE.md describing your commands and conventions. Each course variant adds the relevant domain focus.

May patient data be processed in AI tools?

Only in environments approved by your organisation, secured under data protection law and compatible with medical confidentiality. Publicly available consumer tools are unsuitable. Many use cases, such as quality documents or patient information, need no patient data at all. We show you how to get started safely.

When does AI software become a medical device?

The intended purpose is decisive: software intended for diagnosis, monitoring or therapy decisions for individual patients can fall under the MDR. General text and administrative support usually does not. In the course you learn to recognise this boundary and keep clinical decisions with qualified professionals.

How much does “Claude Code for Healthcare Professionals” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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