Can this certification help in job growth or role transitions?

Yes. It supports roles in healthcare admin, support, digital health, and AI-assisted operations.

Is the course suitable for clinical staff like nurses or technicians?

Absolutely. It helps clinical roles integrate AI for documentation, workflows, and patient coordination.

What kind of AI tools will I get exposure to?

AI assistants, healthcare workflow automation tools, documentation engines, and patient engagement systems.

Will this course teach me to replace human judgment with AI?

No. This is about enhancing human capability—AI supports tasks, decisions remain human-led, and compliance-based.

Is this certification recognized outside the healthcare sector?

Yes. The skills are transferable to support, operations, and service roles in multiple industries.

How practical is the learning?

Highly practical—case-based assignments, mock scenarios, and workflow templates designed for real-world use.

Does the course cover compliance, privacy, or patient data handling?

Yes. We cover foundational data ethics, responsible usage, and privacy awareness (without providing legal advice).

Is this good for students or fresh graduates?

Yes. It builds future-ready skills that strengthen resumes and enable entry into healthcare + AI career paths.

Will I need coding or engineering skills?

No coding is required. The focus is on functional usage, workflows, and applied outcomes—not software development.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI For Healthcare Professionals

Bald zu Ende: Erwerben Sie mit Coursera Plus für 199 $ (regulär 399 $) das nächste Level. Jetzt sparen.

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

AI For Healthcare Professionals

Dozent: AI CERTs Team

Bei enthalten

Mehr erfahren

8 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

3 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

8 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

3 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

AI in Healthcare Operations: Learn how AI supports scheduling, patient flow management, and streamlined administrative tasks.
Clinical Documentation Automation: Use AI tools to create summaries, reports, transcripts, and medical record notes accurately and faster.
AI Assistants for Patient Interaction: Apply AI chat and virtual assistants to manage queries, follow-ups, triage basics, and coordination.
AI Workflow & Compliance: Build safe, efficient AI-powered workflows while understanding data privacy, accuracy, and medical compliance basics.

Kompetenzen, die Sie erwerben

Kategorie: Artificial Intelligence and Machine Learning (AI/ML)
Kategorie: Patient Coordination
Kategorie: Power BI
Kategorie: Generative AI
Kategorie: Health Administration
Kategorie: Data Literacy
Kategorie: Medical Practice Management Software
Kategorie: Epic EMR
Kategorie: Health Informatics
Kategorie: Healthcare Ethics
Kategorie: Patient Flow
Kategorie: AI Enablement
Kategorie: Artificial Intelligence
Kategorie: Medical Assistance
Kategorie: Tensorflow
Kategorie: AI Workflows
Kategorie: Cybersecurity
Kategorie: Generative AI Agents
Kategorie: Data Ethics
Kategorie: Clinical Documentation

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Kürzlich aktualisiert!

Januar 2026

Bewertungen

8 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

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In diesem Kurs gibt es 8 Module

AI for Healthcare Professionals is designed for medical assistants, clinical staff, and healthcare administrators who want to integrate AI into patient care, clinical workflows, and medical administration. This program focuses on real-world applications of AI in healthcare—from patient intake and appointment scheduling to medical documentation, diagnostics support, and clinical data analysis.

You’ll learn how AI tools enhance communication, automate repetitive tasks, improve accuracy, and support faster decision-making within healthcare environments. The course introduces practical platforms, including Electronic Health Record (EHR) systems, patient scheduling and coordination tools, NLP documentation assistants, AI-powered diagnostic platforms, and data tools like Python, SQL, Power BI, and healthcare automation systems. You’ll explore patient-facing AI (triage chatbots, symptom checkers), workflow automation (EHR integration, data entry, billing support), and diagnostics assistance (screening, monitoring, reporting) using tools such as TensorFlow, Keras, NLP engines, and medical imaging analysis tools. With a balance of practical training, ethical guidance, and hands-on labs, this certification prepares learners to support healthcare teams, boost operational efficiency, and elevate patient experience. By the end, you’ll be equipped to confidently apply AI solutions in hospitals, clinics, telehealth setups, and healthcare administration environments.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

Das ist alles enthalten

11 Videos1 Lektüre1 Aufgabe2 Plug-ins

11 VideosInsgesamt 154 Minuten

Audiobook: Course Introduction 6 Minuten
Course Introduction4 Minuten
Audiobook: Module 1: Fundamentals of AI for Medical Assistants97 Minuten
Podcast: Module 1: Fundamentals of AI for Medical Assistants12 Minuten
1.1 Definitions of AI, Machine Learning, and Related Concepts4 Minuten
1.2 Basic Healthcare Examples Illustrating AI Concepts8 Minuten
1.3 Differences Between AI, Automation, and Traditional Software4 Minuten
1.4 How AI Supports Appointment Scheduling, Patient Triage, and Diagnostics4 Minuten
1.5 Benefits Such as Accuracy, Efficiency, and Patient Engagement3 Minuten
1.6 Addressing Common Myths and Misconceptions About AI Replacing Human Roles4 Minuten
1.7 Case Study AI-Powered Appointment Scheduling at Anglara Clinics & GuideMyTriage (GMT) for Cancer Patient Routing4 Minuten

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 130 Minuten

2 Plug-insInsgesamt 30 Minuten

Ebook: Module 1: Fundamentals of AI for Medical Assistants15 Minuten
ACTIVITY: Hotspot15 Minuten

Das ist alles enthalten

9 Videos1 Lektüre1 Aufgabe2 Plug-ins

9 VideosInsgesamt 160 Minuten

Audiobook: Module 2: Data Literacy for Medical Assistants107 Minuten
Podcast: Module 2: Data Literacy for Medical Assistants15 Minuten
2.1 Structured vs. Unstructured Data in Healthcare7 Minuten
2.2 Data Sources Common in Medical Settings3 Minuten
2.3 Ensuring Data Quality and Integrity for AI Applications4 Minuten
2.4 The Importance of Accurate Data for AI-Driven Decisions5 Minuten
2.5 Matching Different Data Types to Suitable AI Use Cases5 Minuten
2.6 Practical Exercises in Linking Data Sources to Real-World Scenarios6 Minuten
2.7 Case Study Optimizing Healthcare with Structured and Unstructured Data & The Importance of Accurate Data in AI-Driven Healthcare Decisions4 Minuten

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 230 Minuten

2 Plug-insInsgesamt 30 Minuten

ebook: Module 2: Data Literacy for Medical Assistants15 Minuten
ACTIVITY: Carousel15 Minuten

Das ist alles enthalten

9 Videos1 Lektüre1 Aufgabe2 Plug-ins

9 VideosInsgesamt 123 Minuten

Audiobook: Module 3: AI in Patient Care Optimization72 Minuten
Podcast: Module 3: AI in Patient Care Optimization14 Minuten
3.1 Introduction to Dashboards and Simple Visualizations Charts, Graphs, Trends7 Minuten
3.2 AI Tools for Appointment Management, Reminders, and Virtual Care5 Minuten
3.3 Improving Patient Engagement Through AI-Powered Communications5 Minuten
3.4 Using AI for No-show Prediction, Health Monitoring Alerts, and Resource Planning4 Minuten
3.5 Integrating AI Insights Into Daily Operational Decisions3 Minuten
3.6 Simulation Exercises for Patient Load Forecasting4 Minuten
3.7 Case Study AI Chatbot for Enhancing Patient Engagement at Mount Sinai Health System & Leveraging Predictive Analytics for ER Patient Flow Management at Cleveland Clinic4 Minuten

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 330 Minuten

2 Plug-insInsgesamt 30 Minuten

ebook: Module 3: AI in Patient Care Optimization15 Minuten
ACTIVITY: Multiple Choice15 Minuten

Das ist alles enthalten

8 Videos1 Lektüre1 Aufgabe2 Plug-ins

8 VideosInsgesamt 134 Minuten

Audiobook: Module 4: NLP and Generative AI in Medical Documentation89 Minuten
Podcast: Module 4: NLP and Generative AI in Medical Documentation14 Minuten
4.1 Basic NLP Concepts Relevant to Healthcare5 Minuten
4.2 Use Cases in Patient Queries and Administrative Chatbots2 Minuten
4.3 Automating Documentation Notes, Summaries, and Communication Workflows5 Minuten
4.4 Recognizing and Managing AI Errors, Hallucinations, and Biases5 Minuten
4.5 Introduction to Accessible NLP Tools for Medical Assistants5 Minuten
4.6 Case Study Automating Documentation in a Large Hospital Network & Managing AI Errors and Biases in AI-Powered Diagnostic Tools5 Minuten

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 430 Minuten

2 Plug-insInsgesamt 30 Minuten

ebook: Module 4: NLP and Generative AI in Medical Documentation15 Minuten
ACTIVITY: Problem Statement15 Minuten

Das ist alles enthalten

7 Videos1 Lektüre1 Aufgabe2 Plug-ins

7 VideosInsgesamt 147 Minuten

Audiobook: Module 5: AI in Diagnostics and Screening105 Minuten
Podcast: Module 5: AI in Diagnostics and Screening14 Minuten
5.1 How AI Analyses Medical Images and Symptoms for Preliminary Screening6 Minuten
5.2 Supporting Clinical Diagnoses With AI Insights4 Minuten
5.3 Examples of AI Detecting Common Conditions From Patient Data4 Minuten
5.4 Hands-On Review of AI-Suggested Diagnostic Insights5 Minuten
5.5 Case Studies Demonstrating AI Effectiveness in Diagnostics6 Minuten

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 530 Minuten

2 Plug-insInsgesamt 30 Minuten

Ebook: Module 5: AI in Diagnostics and Screening15 Minuten
ACTIVITY: Tab15 Minuten

Das ist alles enthalten

7 Videos1 Lektüre1 Aufgabe2 Plug-ins

7 VideosInsgesamt 85 Minuten

Audiobook: Module 6: Ethics, Bias, and Regulation in AI for Healthcare39 Minuten
Podcast: Module 6: Ethics, Bias, and Regulation in AI for Healthcare17 Minuten
6.1 Types of Bias in AI Tools4 Minuten
6.2 Impact of Bias on Patient Outcomes and Trust7 Minuten
6.3 Overview of Regulations Like HIPAA7 Minuten
6.4 Ethical Considerations and Best Practices for Medical Assistants4 Minuten
6.5 Case Study Analysis of Bias and Fairness in AI-Driven Care5 Minuten

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 630 Minuten

2 Plug-insInsgesamt 30 Minuten

ebook: Module 6: Ethics, Bias, and Regulation in AI for Healthcare15 Minuten
ACTIVITY: Drag and Drop15 Minuten

Das ist alles enthalten

8 Videos1 Lektüre1 Aufgabe2 Plug-ins

8 VideosInsgesamt 95 Minuten

Audiobook: Module 7: Evaluating and Implementing AI Tools47 Minuten
Podcast: Module 7: Evaluating and Implementing AI Tools13 Minuten
7.1 Criteria for Evaluating AI Relevance and Effectiveness Accuracy, ROI6 Minuten
7.2 Steps Involved in Procurement, Pilot Testing, and Integration6 Minuten
7.3 Recognizing Red Flags in Vendor Solutions3 Minuten
7.4 Strategies for Collaboration With Teams and Clinicians6 Minuten
7.5 Ensuring Smooth Transition and User Adoption in Workflows6 Minuten
7.6 Case Study Procurement and Early Deployment of AI Tools for Chest Diagnostics in a National Health Service Setting5 Minuten

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 730 Minuten

2 Plug-insInsgesamt 30 Minuten

ebook: Module 7: Evaluating and Implementing AI Tools15 Minuten
ACTIVITY: Sequence Arrangement15 Minuten

Das ist alles enthalten

9 Videos1 Lektüre1 Aufgabe2 Plug-ins

9 VideosInsgesamt 84 Minuten

Audiobook: Module 8: Cybersecurity and Emerging Trends in AI36 Minuten
Podcast: Module 8: Cybersecurity and Emerging Trends in AI12 Minuten
8.1 Common Cybersecurity Threats Specific to AI in Healthcare5 Minuten
8.2 Best Practices Data Encryption, Multi-Factor Authentication, Access Controls6 Minuten
8.3 Advances Like AI in Telemedicine, Wearables, and Remote Monitoring5 Minuten
8.4 Strategies for Staying Current and Adaptable to Emerging AI Technologies4 Minuten
8.5 Collaboration With IT and Development Teams for Ongoing Security and Innovation5 Minuten
8.6 Case Study EY’s Strategic Transformation Adapting to Emerging AI Technologies5 Minuten
Course Summary3 Minuten

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 830 Minuten

2 Plug-insInsgesamt 30 Minuten

ebook: Module 8: Cybersecurity and Emerging Trends in AI15 Minuten
ACTIVITY: Scenario Activity15 Minuten

Dozent

AI CERTs Team

AI CERTs

40 Kurse9.124 Lernende

von

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Spezialisierung

Warum entscheiden sich Menschen für Coursera für ihre Karriere?

Felipe M.

Lernender seit 2018

„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“

Jennifer J.

Lernender seit 2020

„Bei einem spannenden neuen Projekt konnte ich die neuen Kenntnisse und Kompetenzen aus den Kursen direkt bei der Arbeit anwenden.“

Larry W.

Lernender seit 2021

„Wenn mir Kurse zu Themen fehlen, die meine Universität nicht anbietet, ist Coursera mit die beste Alternative.“

Chaitanya A.

„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“

Häufig gestellte Fragen

No. While a healthcare or support background helps, the course is designed for beginners and non-technical professionals as well.

Not required. We start with fundamentals and gradually introduce tools, workflows, and real healthcare use cases.

You’ll work with real AI tools, practical workflows, and scenario-based examples—not just concepts or definitions.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.