AI in Healthcare: Legal, Ethical & Data Governance (EU/DE)

In this course, you will learn the legal and ethical foundations of Artificial Intelligence in healthcare, as well as the key aspects of data governance according to EU and German regulations. Ideal for professionals working in digital healthcare who want to develop a solid understanding of legal requirements and ethical issues.

AI in Healthcare: Legal, Ethical & Data Governance (EU/DE)

Course Overview — Why This Course Matters Now

 

Imagine a hospital in Bavaria introducing an AI-based diagnostic support system — without fully understanding the legal requirements of the EU AI Act or GDPR. The result? Fines, loss of trust, and in the worst case, a risk to patient safety. That is precisely the gap this course addresses.

 

Artificial intelligence is rapidly transforming healthcare. In Germany, AI systems are already being used for imaging, risk prediction, and digital health applications (DiGA). But who is responsible when an algorithm makes a wrong decision? Which data protection rules apply? And what do clinics, doctors, and IT managers need to know in practice? These are not merely academic questions — they are career-critical ones.

 

The course “AI in Healthcare: Legal, Ethical & Data Governance (EU/DE)” delivers exactly this practical knowledge. You will gain a structured understanding of the German and European legal framework, learn how to apply ethical standards, and understand how data governance works in AI-supported healthcare systems. Whether you are a doctor, a data protection officer, a hospital manager, or an IT specialist — this course gives you the knowledge you need in practice.

Learning Objectives

Upon completing the course, you will be able to:

 

  • Apply the requirements of the EU AI Act and GDPR to AI systems in healthcare.
  • Correctly interpret state hospital laws and medical professional codes in relation to AI decisions
  • Fulfil data protection obligations (BDSG, GDPR) when processing patient data
  • Identify AI risk categories and initiate appropriate compliance measures
  • Explain and implement core ethical principles for AI use in healthcare
  • Understand the approval requirements for AI-based medical devices (MDR/MPDG)
  • Assess and minimise liability risks arising from algorithmic decisions
  •  Design lawful cross-border data exchange under the European Health Data Space (EHDS)
  • Develop an internal AI governance framework for your organisation

Course Curriculum

5 Sections 20 Lectures 5 Hours
  • State Hospital Laws and AI
  • State Data Protection Authorities
  • Regional Health Registries
  • State Medical Codes
  • Ethical Standards at State Level
  • AI Transparency & Explainability
  • State Risk Management
  • Public Health Emergency Law
  • GDPR & BDSG in Healthcare AI
  • Automated Decisions & Profiling
  • Consent & Data Rights
  • Data Security Standards
  • EU AI Act in Germany
  • Medical Device Regulation (MDR/MPDG)
  • Digital Healthcare Act (DVG/DiGA)
  • Federal Cybersecurity Law
  • Physician & Product Liability
  • Federal Ethical Standards
  • European Health Data Space (EHDS)
  • AI Risk Governance & Monitoring

Who is this course suitable for?

This course is aimed at all those who wish to use, audit, or regulate AI in healthcare responsibly:

 

  • Doctors who want to understand their legal obligations when AI supports diagnosis or treatment decisions
  • Data protection officers in clinics, hospitals, and healthcare organisations who must ensure GDPR-compliant AI use
  • Hospital managers and executives who are planning and overseeing AI projects strategically
  • IT professionals and software developers building or deploying medical AI applications
  • Compliance officers and lawyers specialising in healthcare law and digital law
  • Nursing staff and health professionals working daily with digital systems
  • Students of medicine, law, health informatics, and related disciplines
  • Career changers and newcomers seeking a career in Digital Health, MedTech, or Health-IT

Requirements

The course is designed to be practical and requires no technical background in AI or programming. All you need is:

  • A basic understanding of the German healthcare system, or an interest in digital health
  • A willingness to engage with legal and ethical questions
  • Internet access for the online modules
  • German language skills at B2 level or above (course is in German; English version also available)

Career opportunities

AI competence in healthcare is one of the fastest-growing fields in the German job market. Professionals with this specific expertise are in higher demand than ever:

Healthcare Compliance Manager

Ensuring regulatory compliance of AI systems in clinics and hospitals

Data Protection Officer (Healthcare)

Implementing GDPR & BDSG for medical data processing environments

Digital Health Consultant

Advising healthcare organisations on digital transformation and AI adoption

Medical Device Regulatory Affairs Specialist

Approval and clinical evaluation of AI-based medical devices (MDR/MPDG)

Health-IT Project Manager

Planning and implementing AI projects in hospitals and health organisations

AI Ethics Officer

Developing and overseeing ethical guidelines for AI use in medical settings

MedTech Business Analyst

Analysing and evaluating AI solutions for healthcare companies and partners

Certification information

Upon successful completion of this course, you will receive a certificate for success in AI in Healthcare: Legal, Ethical & Data Governance (EU/DE), a recognized certificate in the field of health compliance.

Certificate Image

Frequently Asked Questions

01 Do I need to be a lawyer or a doctor to understand this course? +

No. The course is deliberately designed for a broad professional audience. Legal terms and technical concepts are explained in plain language. Whether you come from medicine, IT, administration, or another field, the entry point is straightforward.

02 Is the EU AI Act already in force in Germany, and what does it mean for hospitals? +

Yes. The EU AI Regulation has been in force since August 2024 and will be fully applicable on a rolling basis through 2026. Hospitals using high-risk AI systems (e.g. for diagnostics) must meet strict requirements around transparency, documentation, and human oversight. The course explains exactly what this means in practice.

03 What is a DiGA and why is it relevant to AI in healthcare? +

DiGA stands for Digitale Gesundheitsanwendung — a digital health application. These are app-based medical devices regulated by the German parliament and approved by the BfArM. AI-powered DiGAs are subject to additional requirements from the MDR and EU AI Act. Module 4 covers this topic in depth.

04 How long does the course take, and when can I start? +

The course is entirely online and can be completed at your own pace. Depending on your prior knowledge and available time, most participants take between 4 and 8 weeks. Access begins immediately after enrolment.

05 What GDPR obligations apply specifically to AI in medicine? +

Medical data is classified as particularly sensitive under Article 9 GDPR. When using AI, organisations must conduct a Data Protection Impact Assessment (DPIA), obtain appropriate consents, and regulate automated decisions under Article 22 GDPR, among other requirements. Module 3 addresses all of these in practical terms.

06 Is there also an English version of the course? +

Yes. The course is available in both German and English. The English version, ‘AI in Healthcare: Legal, Ethical & Data Governance (EU/DE)’, covers the same content and is also aimed at international professionals who work or plan to work in Germany.

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