This course is part of the AI Applications in Healthcare ExpertTrack
Key Skills for Leveraging Open AI Tools in Health Systems
Master open AI tools to transform patient care, streamline healthcare workflows, and lead innovation in digital health.
Duration
4 weeksWeekly study
2 hoursIncluded in an ExpertTrack
Course 4 of 4
Key Skills for Leveraging Open AI Tools in Health Systems
This course has been certified by the CPD Certification Service as conforming to continuing professional development principles. Find out more.
Leverage Open AI Tools to Transform Healthcare Delivery
Artificial intelligence isn’t the future of healthcare; it’s already here. Open AI tools are helping professionals improve diagnostic accuracy, save time, and deliver better patient care.
On this course, you’ll use open-source platforms like ChatGPT, Glass AI, Symptoma, and Teachable Machine to create practical, ethical AI solutions for clinical settings. Gain hands-on experience with the no-code tools that make healthcare innovation accessible.
Master the foundations of AI in clinical practice
Explore how AI is reshaping healthcare workflows and driving digital transformation. You’ll examine predictive models, clinical applications, and case studies that show how AI-powered tools improve diagnostic accuracy and streamline operations.
By understanding where AI fits into patient monitoring, medical education, and healthcare research, you can start applying it in your own practice.
Build AI-powered tools for real healthcare scenarios
Gain hands-on with no-code AI platforms to create tools that support patient care. You’ll generate AI-assisted clinical notes, nursing reports, and care plans that save time and enhance accuracy.
You’ll also develop predictive models and diagnostic simulations that demonstrate practical healthcare innovation.
Navigate ethics, safety, and scalability in healthcare AI
Examine the legal, ethical, and safety considerations that dictate how we use AI in clinical environments.
Learn to evaluate and integrate clinical decision support systems that are scalable, cost-effective, and ethical. You’ll ensure your solutions protect patient safety, while advancing healthcare technology across diverse settings.
When completed, you’ll have the skills to apply open AI tools where needed and drive meaningful innovation across health systems.
Syllabus
Week 1
Introduction to AI in Healthcare
Lesson 1: Welcome and Course Goals
Introduction to the course goals and key topics
Lesson 2: What is AI and Why Healthcare Needs It?
Learn about AI's role in modern medicine, its core techniques, and why AI is crucial for improving diagnostics and patient care.
Lesson 3: How AI is Already Being Used in Healthcare
Explore existing AI systems in healthcare, from imaging to predictive analytics, and their real-world applications in hospitals and clinics.
Lesson 4: Risks, Myths & Opportunities
Debunk common myths about AI in healthcare and understand its true potential, risks, and opportunities in the medical field.
Week 2
Open-Source Tools & Platforms in AI Healthcare
Lesson 5: Open-Source AI – Principles & Ecosystem
Understand the concept of open-source AI, its value in healthcare, and key frameworks like PyTorch and TensorFlow.
Lesson 6: Free AI Tools for Clinical Practice
Learn to use popular open-source AI tools such as Glass AI, Symptoma, and ChatGPT to enhance clinical decision-making and workflows.
Lesson 7: Datasets & Building AI Without Coding
Explore how to leverage public medical datasets and use drag-and-drop tools like Teachable Machine to build AI models without coding.
Week 3
Applications of AI in Healthcare Processes
Lesson 8: AI in Diagnosis & Medical Imaging
Learn how AI interprets medical images such as X-rays, MRIs, and CT scans to enhance diagnostic accuracy and speed.
Lesson 9: AI in Monitoring & Risk Prediction
Explore how AI models predict patient deterioration, including forecasting conditions like sepsis and heart failure.
Lesson 10: Virtual Assistants and AI in Operations
Discover how AI-powered assistants and chatbots automate healthcare operations, improving patient experience and reducing clinician workload.
Week 4
AI-Powered Decision Support Systems (CDSS)
Lesson 11: Clinical Decision Support Systems (CDSS)
Understand the role of CDSS in healthcare, and how they assist clinicians with real-time recommendations and alerts.
Lesson 12: AI Safety, Regulation & Legal Issues
Learn about the regulatory, legal, and safety considerations when deploying AI in healthcare, including compliance with HIPAA and GDPR.
Lesson 13: Ethics, Bias & Responsible AI Deployment
Explore the ethical challenges of AI, focusing on bias mitigation, fairness, and responsible AI deployment in clinical environments.
Lesson 14: Course Wrap-Up
A brief review of key concepts covered in the course, reinforcing the practical applications of AI in healthcare.
Prove you're job ready
Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.
- Learn the latest in your chosen industry or subject.
- Complete each course and pass assessments.
- Receive certificates validated by the educating organisation.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
Download a PDF
Who is this accredited by?
The CPD Certification Service was established in 1996 and is the leading independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies.
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Explain the basics of AI and its practical applications in healthcare.
- Build and use AI-assisted tools for diagnosis, documentation, and patient monitoring.
- Create nursing reports and care plans using ChatGPT.
- Evaluate the structure, types, benefits, and integration strategies for Clinical Decision Support Systems (CDSS) using AI in real-time clinical settings.
- Recognize legal, ethical, and safety considerations of using AI in clinical environments
Who is the course for?
This course is ideal for doctors, nurses, clinical educators, healthcare administrators, researchers, and AI engineers who want to apply open AI tools to improve patient care and drive healthcare innovation.
Who will you learn with?
Who developed the course?
Starweaver
Starweaver is a next generation platform that engages your workforce as no other. Combining business and technical skills, Starweaver provides real-time skill building that is in line with your business objectives and strategies, and in your associates day to day tasks and jobs.
Start learning today - free 2-day trial
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- Pay $39 per month to keep learning online
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- Work at your own pace and set your own deadlines at every stage
- Only pay while you’re learning; the subscription will cancel automatically when you finish
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Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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