AI+ Medical Assistant™

Price
Net: 397,00 €
VAT.: 75,43 €

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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Digital assistance systems are noticeably changing medical processes. Artificial intelligence supports diagnostics, documentation, and organization, creating new efficiencies in everyday clinical and administrative work.

Key topics

Use of AI in medical work processes.
Support for documentation, analysis, and decision-making.
Handling health data and data protection requirements.
AI-supported workflows in practices, clinics, and care facilities.
Current technologies and trends in digital healthcare.

Prerequisite
Basic understanding of medical processes and interest in digital solutions in the healthcare environment. Technical knowledge is helpful but not essential.

Target group
Medical professionals, assistants, healthcare management staff, and specialists who want to integrate AI into medical processes in a meaningful way.

The content provides guidance on the interaction between medicine and artificial intelligence and opens up new perspectives for efficient, data-based, and responsible healthcare in an increasingly digital environment.

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course content

Fundamentals of AI for medical assistants

Understanding AI and its applications in healthcare.
The role of AI in medical assistance.
Case studies
Practical exercise: Functional survey and step-by-step analysis of the Eka.care application on the patient side.

Data literacy for medical assistants

Types of health data and how they are managed
Effective use of data in AI
Case studies
Practical exercise: Structured vs. unstructured data in healthcare: A practical study using the Eka.Care patient record system.

AI for optimizing patient care

Improving patient interaction through AI
Predictive analytics and workflow management
Case studies
Hands-on exercise: Eka.care in action: appointment management, smart reminders, and dashboards for teleconsultations

NLP and generative AI in medical documentation

Fundamentals of NLP for medical assistants
Practical applications and risks
Case studies
Practical simulation exercise
Practical exercise: Automating clinical documentation with Eka.care: notes, summaries, and communication flows

AI in diagnostics and preventive medical checkups

Diagnostic tools
Practical applications and simulation
Use cases
Practical example: AI-supported detection of common health problems: Review and analysis of AI-supported diagnostic results with Eka Care.

Ethics, bias, and regulation of AI in healthcare

Recognizing and combating bias in AI.
Legal, ethical, and compliance frameworks.
Practical exercise: Analyzing and visualizing bias in artificial intelligence systems – examining racial, socioeconomic, and demographic inequalities with Google's What-If tool.

Evaluation and implementation of AI tools

Selection and planning for the introduction of AI.
Best practices and stakeholder engagement.
Case study: Procurement and early deployment of AI tools for breast diagnostics in the national healthcare system.
Practical simulation exercise: Recognizing warning signs in vendor solutions for AI in medical assistance.
Hands-on exercises: Evaluating the relevance and effectiveness of AI models with Zoho Analytics.

Cybersecurity and new trends in AI

Risks and protective measures in the field of cybersecurity.
Future trends and preparing for innovation.
Case studies: EY's strategic transformation: Adapting to new AI technologies.
Practical exercises: Common cybersecurity threats in AI-enabled healthcare: A hands-on investigation using Google Sheets.

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What are the objectives of the AI+ Medical Assistant™ course?

The goal is to use AI tools safely and responsibly in order to improve workflows, evaluate data correctly, and provide professional support to medical teams.

What skills are taught in the AI+ Medical Assistant™ course?

Topics covered include AI fundamentals, data analysis, medical documentation, automated workflows, secure use of language models, and realistic case studies.

What professional advantages does the AI+ Medical Assistant™ certificate offer?

The certificate strengthens digital competence, improves career opportunities, and demonstrates that modern AI systems can be used securely, in compliance with data protection regulations, and professionally.

What role does medical expertise play in the course?

Medical knowledge is helpful, but not essential. The course explains the most important terms and shows how AI provides structured support for medical processes.

What are the most important skills taught in the course in the area of AI tools?

The course covers tool selection, data verification, prompt strategies, result evaluation, and responsible implementation in everyday medical practice.

How does the AI+ Medical Assistant™ course improve medical documentation?