Reviews 4,2
Reviews 4,5
100% fundable

AI+ Medical Assistant Practitioner™

Digital assistance systems are reshaping medical workflows. Artificial intelligence supports diagnostics, documentation, and organization – creating new efficiencies across clinical and administrative settings.

Key topics

  • Applying AI tools to medical work processes.
  • AI-driven support for documentation, analysis, and decision-making.
  • Handling health data securely and in compliance with data protection standards.
  • AI-supported workflows in practices, clinics, and care facilities.
  • Current technologies and trends in digital healthcare.

Prerequisite
Familiarity with medical processes and an interest in digital solutions is sufficient to get started. Technical knowledge is helpful but not required.

Target group
Medical support staff, healthcare professionals, and healthcare management employees who want to integrate AI meaningfully into their daily work.

The course content connects foundational medical knowledge with practical AI applications – opening new pathways for efficient, data-driven, and responsible healthcare delivery.
 

course content
  • Understanding AI and its areas of application in healthcare.
  • The role and potential of AI in medical assistance.
  • Case studies
  • Practical exercise: Functional analysis of the Eka.care application from the patient perspective.
  • Types of health data and how they are managed in everyday clinical settings
  • Using data as the basis for AI-supported decisions
  • Case studies
  • Practical exercise: Structured vs. unstructured data in healthcare – analysis using the Eka.Care patient record system.
  • Strengthening patient interaction through AI-powered systems
  • Predictive analytics and automated workflow management
  • Case studies
  • Hands-on exercise: Eka.care in practice – appointment management, smart reminders, and teleconsultation dashboards
  • NLP fundamentals for use in medical assistance
  • Practical applications and risks of generative AI
  • Case studies
  • Simulation: Hands-on application exercise
  • Practical exercise: Automating clinical documentation with Eka.care – notes, summaries, and communication flows
  • Diagnostic tools and their areas of application
  • Practical applications and simulation in preventive examinations
  • Real-world use cases
  • Practical example: AI detection of common health conditions – reviewing AI diagnostic results with Eka Care.
  • Recognizing and actively addressing bias in AI systems.
  • Legal, ethical, and compliance requirements in healthcare.
  • Practical exercise: Analyzing and visualizing bias in AI systems – examining racial, socioeconomic, and demographic inequalities with Google's What-If tool.
  • Choosing suitable AI solutions and planning their introduction.
  • Best practices and engagement of relevant stakeholders.
  • Case study: Procurement and early deployment of AI tools for breast diagnostics in the national healthcare system.
  • Simulation: Recognizing warning signs in AI vendor products for medical assistance.
  • Practical exercise: Evaluating the relevance and effectiveness of AI models with Zoho Analytics.
  • Risks and protective measures in AI-related cybersecurity.
  • Future developments and preparing for innovation.
  • Case studies: EY's strategic transformation – adapting to new AI technologies.
  • Practical exercise: Common cybersecurity threats in AI-enabled healthcare – investigation using Google Sheets.

Up to 100% funding for your continuing education

Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.

Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.