AI+ Healthcare Foundation (AP 4800 Self-Paced Training)
Ziele der Schulung
The AI+ Healthcare Foundation™ certification is designed to provide foundational healthcare AI literacy, equipping learners with a clear understanding of how artificial intelligence transforms diagnostics, patient care delivery, operational workflows, and population health management. It focuses on safe and responsible AI use, practical insight into healthcare data and systems, and preparing participants to collaborate with clinicians and technologists while navigating emerging AI trends in healthcare. Learners will also engage with “What Will You Learn?” outcomes including AI fundamentals for healthcare, data analysis and insights, healthcare system integration with AI, predictive patient monitoring, and ethics and privacy in healthcare AI.
Zielgruppe Seminar
- Healthcare Professionals seeking to understand AI’s impact on patient care and efficiency.
- Data Analysts interested in applying data analytics and AI in healthcare contexts.
- Tech Enthusiasts with an interest in AI and machine learning’s role in healthcare innovation.
- Medical Researchers exploring AI in clinical data analysis.
- Aspiring AI Engineers aiming to work with data-driven healthcare solutions.
Voraussetzungen
- Foundational understanding of healthcare systems and terminology.
- Data analytics skills for interpreting healthcare information.
- Awareness of AI concepts and machine learning fundamentals.
- Basic programming knowledge (e.g., Python).
- Critical thinking/problem-solving abilities for healthcare challenges.
Seminarinhalt
Module 1: Introduction to Artificial Intelligence (AI)
- 1.1 Fundamentals of Artificial Intelligence
- 1.2 AI in the Healthcare Ecosystem
- 1.3 Case Study: Mayo Clinic’s Digital Transformation
- 1.4 Case Study: UnitedHealthcare’s Predictive Analytics
- 1.5 Case Study: Pfizer and COVID-19 Vaccine Development
- 1.6 Case Study: ACO Models in the U.S.
Module 2: Introduction to Prompt Engineering
- 2.1 Introduction to Principles of Effective Prompting
- 2.2 Giving Direction
- 2.3 Formatting Responses
- 2.4 Applying the Five Principles
Module 3: Data Handling and AI Modelling in Healthcare
- 3.1 Understanding Clinical Data Types—EHRs, Vitals, Lab Results
- 3.2 Structured vs. Unstructured Data in Medicine
- 3.3 Interactive Activity: AI Assistant for Clinical Note Insights
Module 4: Ethical, Legal and Societal Considerations
- 4.1 Introduction to AI Ethics and Social Implications
- 4.2 Bias and Fairness in AI
- 4.3 Privacy and Security in the Age of AI
- 4.4 Responsible AI Development
- 4.5 AI and Society: Looking Ahead
Module 5: AI Applications in Healthcare
- 5.1 Innovations in AI and Their Impact on Healthcare
- 5.2 Interdisciplinary Approaches
- 5.3 Preparing for the Future
Hinweise
Prüfung und Zertifizierung
- 50 Multiple-Choice Questions (MCQs)
- 90-minute duration
- Passing Score: 70% (35/50)
- Modules Count: 5 + Examination (1)
Open Badge für dieses Seminar - Ihr digitaler Kompetenznachweis
Durch die erfolgreiche Teilnahme an einem Kurs bei IT-Schulungen.com erhalten Sie zusätzlich zu Ihrem Teilnehmerzertifikat ein digitales Open Badge (Zertifikat) – Ihren modernen Nachweis für erworbene Kompetenzen.
Ihr Open Badge ist jederzeit in Ihrem persönlichen und kostenfreien Mein IT-Schulungen.com-Konto verfügbar. Mit wenigen Klicks können Sie diesen digitalen Nachweis in sozialen Netzwerken teilen, um Ihre Expertise sichtbar zu machen und Ihr berufliches Profil gezielt zu stärken.
Übersicht: AI Certs Schulungen Portfolio
