AI For Healthcare Professionals

AI For Healthcare Professionals

Instructor: AI CERTs Team

Access provided by Universidad Tecmilenio

8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Apply AI in Clinical Care: Use AI tools to enhance diagnostic accuracy, streamline workflows, and support patient monitoring and documentation.
Use Predictive Analytics for Better Outcomes: Identify high-risk patients, predict complications, and support earlier interventions with AI.
Automate Healthcare Tasks: Accelerate chart reviews, reduce administrative burden, and minimize manual errors across clinical operations.
Improve Safety and Quality: Apply AI‑based quality checks, risk assessments, and clinical decision support to strengthen patient safety.

Skills you'll gain

Tools you'll learn

AI Workflows

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in English

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There are 8 modules in this course

Healthcare is transforming rapidly as AI reshapes diagnostics, patient monitoring, workflow efficiency, and clinical decision-making. The AI for Healthcare Professionals Certification delivers direct, immediately applicable skills and knowledge, empowering clinicians and healthcare workers to use AI tools safely, effectively, and confidently—no coding required.

This course focuses on real clinical applications, from interpreting medical data to automating routine tasks and supporting earlier, more accurate diagnoses. You’ll explore how machine learning, predictive analytics, and healthcare automation enhance patient care across emergency, inpatient, outpatient, and administrative settings. Each module combines practical instruction with case‑based exercises that show you how to evaluate clinical AI tools, streamline documentation, reduce errors, and strengthen care quality through data‑driven insights. By the end of the course, you’ll confidently apply AI in real clinical scenarios, driving efficiency and enabling safer, more precise patient outcomes that advance your clinical practice. Enroll in the AI for Healthcare Professionals Certification Online to elevate your clinical practice with intelligent, responsible AI.

This module introduces the fundamentals of Artificial Intelligence and its role in modern healthcare environments. Learners explore AI concepts, applications, and how intelligent systems support medical assistants in daily tasks. The module builds a foundation for understanding AI-driven healthcare solutions.

What's included

8 videos1 assignment1 plugin

8 videosTotal 37 minutes

Course Introduction4 minutes
1.1 Definitions of AI, Machine Learning, and Related Concepts5 minutes
1.2 Basic Healthcare Examples Illustrating AI Concepts8 minutes
1.3 Differences Between AI, Automation, and Traditional Software4 minutes
1.4 How AI Supports Appointment Scheduling, Patient Triage, and Diagnostics4 minutes
1.5 Benefits Such as Accuracy, Efficiency, and Patient Engagement3 minutes
1.6 Addressing Common Myths and Misconceptions About AI Replacing Human Roles4 minutes
1.7 Case Study AI-Powered Appointment Scheduling at Anglara Clinics & GuideMyTriage (GMT) for Cancer Patient Routing4 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

1 pluginTotal 5 minutes

ACTIVITY: Hotspot5 minutes

This module develops essential data literacy skills required for working with AI-powered healthcare systems. Learners understand healthcare data types, data quality, analysis methods, and the importance of accurate information. The module helps medical assistants make informed decisions using data-driven insights.

What's included

7 videos1 assignment1 plugin

7 videosTotal 38 minutes

2.1 Structured vs. Unstructured Data in Healthcare8 minutes
2.2 Data Sources Common in Medical Settings4 minutes
2.3 Ensuring Data Quality and Integrity for AI Applications5 minutes
2.4 The Importance of Accurate Data for AI-Driven Decisions5 minutes
2.5 Matching Different Data Types to Suitable AI Use Cases5 minutes
2.6 Practical Exercises in Linking Data Sources to Real-World Scenarios6 minutes
2.7 Case Study Optimizing Healthcare with Structured and Unstructured Data & The Importance of Accurate Data in AI-Driven Healthcare Decisions5 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

1 pluginTotal 5 minutes

Activity: Carousel5 minutes

This module explores how AI improves patient care processes and healthcare workflows. Learners examine AI applications in patient monitoring, personalized care, scheduling, and operational efficiency. The module highlights how AI supports better healthcare experiences and outcomes.

What's included

7 videos1 assignment1 plugin

7 videosTotal 37 minutes

3.1 Introduction to Dashboards and Simple Visualizations Charts, Graphs, Trends8 minutes
3.2 AI Tools for Appointment Management, Reminders, and Virtual Care5 minutes
3.3 Improving Patient Engagement Through AI-Powered Communications5 minutes
3.4 Using AI for No-show Prediction, Health Monitoring Alerts, and Resource Planning5 minutes
3.5 Integrating AI Insights Into Daily Operational Decisions4 minutes
3.6 Simulation Exercises for Patient Load Forecasting5 minutes
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 Clinic5 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

1 pluginTotal 5 minutes

ACTIVITY: Multiple Choice5 minutes

This module introduces Natural Language Processing (NLP) and Generative AI applications in medical documentation. Learners explore how AI assists with clinical notes, record management, summarization, and administrative tasks. The module demonstrates how AI can improve documentation efficiency and accuracy.

What's included

6 videos1 assignment1 plugin

6 videosTotal 30 minutes

4.1 Basic NLP Concepts Relevant to Healthcare5 minutes
4.2 Use Cases in Patient Queries and Administrative Chatbots3 minutes
4.3 Automating Documentation Notes, Summaries, and Communication Workflows6 minutes
4.4 Recognizing and Managing AI Errors, Hallucinations, and Biases6 minutes
4.5 Introduction to Accessible NLP Tools for Medical Assistants5 minutes
4.6 Case Study Automating Documentation in a Large Hospital Network & Managing AI Errors and Biases in AI-Powered Diagnostic Tools6 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

1 pluginTotal 5 minutes

ACTIVITY: Problem Statement5 minutes

This module explains how AI supports healthcare professionals in diagnostics and screening processes. Learners explore AI applications in medical imaging, disease detection, risk assessment, and early identification of health conditions. The module provides insights into the role of AI in improving diagnostic support.

What's included

5 videos1 assignment1 plugin

5 videosTotal 28 minutes

5.1 How AI Analyses Medical Images and Symptoms for Preliminary Screening6 minutes
5.2 Supporting Clinical Diagnoses With AI Insights5 minutes
5.3 Examples of AI Detecting Common Conditions From Patient Data5 minutes
5.4 Hands-On Review of AI-Suggested Diagnostic Insights6 minutes
5.5 Case Studies Demonstrating AI Effectiveness in Diagnostics6 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

1 pluginTotal 5 minutes

ACTIVITY: Tab5 minutes

This module examines ethical considerations, AI bias, and regulatory requirements in healthcare AI adoption. Learners explore responsible AI practices, patient privacy, transparency, and compliance considerations. The module helps medical assistants understand the importance of trustworthy AI usage.

What's included

5 videos1 assignment1 plugin

5 videosTotal 28 minutes

6.1 Types of Bias in AI Tools5 minutes
6.2 Impact of Bias on Patient Outcomes and Trust7 minutes
6.3 Overview of Regulations Like HIPAA7 minutes
6.4 Ethical Considerations and Best Practices for Medical Assistants5 minutes
6.5 Case Study Analysis of Bias and Fairness in AI-Driven Care5 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

1 pluginTotal 5 minutes

ACTIVITY: Drag and Drop5 minutes

This module focuses on selecting, evaluating, and implementing AI tools in healthcare settings. Learners explore factors such as usability, effectiveness, integration, and performance assessment. The module prepares medical assistants to support successful AI adoption in healthcare workflows.

What's included

6 videos1 assignment1 plugin

6 videosTotal 35 minutes

7.1 Criteria for Evaluating AI Relevance and Effectiveness Accuracy, ROI6 minutes
7.2 Steps Involved in Procurement, Pilot Testing, and Integration6 minutes
7.3 Recognizing Red Flags in Vendor Solutions4 minutes
7.4 Strategies for Collaboration With Teams and Clinicians6 minutes
7.5 Ensuring Smooth Transition and User Adoption in Workflows7 minutes
7.6 Case Study Procurement and Early Deployment of AI Tools for Chest Diagnostics in a National Health Service Setting6 minutes

1 assignmentTotal 30 minutes

Quiz 730 minutes

1 pluginTotal 5 minutes

ACTIVITY: Sequence Arrangement5 minutes

This module explores cybersecurity challenges and emerging developments in healthcare AI. Learners understand data protection, security practices, and evolving AI technologies shaping the healthcare industry. The module prepares medical assistants to work safely with future AI-driven healthcare solutions.

What's included

7 videos1 assignment1 plugin

7 videosTotal 35 minutes

8.1 Common Cybersecurity Threats Specific to AI in Healthcare5 minutes
8.2 Best Practices Data Encryption, Multi-Factor Authentication, Access Controls6 minutes
8.3 Advances Like AI in Telemedicine, Wearables, and Remote Monitoring5 minutes
8.4 Strategies for Staying Current and Adaptable to Emerging AI Technologies4 minutes
8.5 Collaboration With IT and Development Teams for Ongoing Security and Innovation5 minutes
8.6 Case Study EY’s Strategic Transformation Adapting to Emerging AI Technologies6 minutes
Course Summary4 minutes