AI Innovations with Open Tools in Healthcare Processes

AI is reshaping healthcare delivery—from enhancing diagnostics with machine learning to streamlining administrative workflows and optimizing treatment decisions through predictive analytics. This course, AI Innovations with Open Tools in Healthcare Processes, empowers healthcare professionals, AI engineers, and medical researchers to harness open-source frameworks for building scalable, ethical, and interoperable AI solutions. Learners will explore how to integrate AI into clinical environments using real-world tools and use cases, with a focus on navigating fragmented data systems (like EHRs, DICOM, and wearables), ensuring compliance with regulations (HIPAA, GDPR), and aligning AI deployment with clinical needs. You'll gain practical skills in using open-source platforms to develop clinical decision support systems (CDSS), while addressing key challenges such as data bias, interpretability, and workflow integration. Designed for professionals at the intersection of healthcare and technology, this course bridges the gap between innovation and implementation

• 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
• Recognize legal, ethical, and safety considerations of using AI in clinical environments

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work