Course Overview
Introduction to CS595 Digital Healthcare Informatics and AI
Introduction to CS595 Digital Healthcare Informatics and AI
The CS595 Digital Healthcare Informatics and AI course is designed to immerse students in the rapidly evolving intersection of healthcare and artificial intelligence. This innovative course combines academic rigor with real-world application, preparing students to tackle the challenges of modern healthcare informatics using cutting-edge AI tools and methodologies. Through hands-on labs, team-based projects, and expert-led discussions, students will develop a deep understanding of the technologies and systems transforming healthcare delivery.
Key Objectives
Explore the Role of AI in Healthcare: Understand how AI is revolutionizing healthcare through applications like predictive analytics, natural language processing, and decision support systems.
Develop Practical Skills in Informatics: Gain hands-on experience with electronic health records (EHRs), interoperability standards (e.g., HL7, FHIR), and health data analysis.
Bridge Technical and Clinical Domains: Learn to integrate clinical systems, biomedical devices, and patient-generated data into actionable insights for healthcare providers.
Collaborate on Real-World Projects: Work in teams to design and develop AI-driven solutions to address pressing healthcare challenges, using Agile methodologies and iterative development.
Engage with Industry Experts: Benefit from lectures and mentorship by leading professionals in healthcare and AI, gaining insights into emerging trends and regulatory frameworks.
Course Structure
The course is structured into three core components, each designed to build on the other for a comprehensive learning experience:
See One – Learn from Leaders in Informatics & AI
Interactive video lectures by industry experts.
In-depth discussions on the latest trends, challenges, and innovations in digital healthcare.
Do One – Experiment with Hands-On Labs
Engage with real-world tools and datasets.
Perform tasks like building care compliance dashboards, utilizing FHIR servers, and applying machine learning models to healthcare scenarios.
Build One – Develop MVP Pilot Solutions
Collaborate in small teams to design Minimum Viable Products (MVPs) addressing real-world healthcare problems.
Present your projects to industry professionals for feedback and evaluation.
Learning Methodology
Flipped Classroom Approach: Students complete preparatory work (e.g., video lectures and readings) outside of class to maximize in-class discussions and activities.
Agile Teamwork: Work in project teams to complete sprints, with periodic presentations and feedback sessions to refine your solutions.
Experiential Learning: Apply theoretical knowledge in practical settings through labs and projects, gaining skills directly applicable to the healthcare industry.
Outcome
By the end of the course, students will be equipped with the technical skills, interdisciplinary knowledge, and collaborative experience needed to excel in the growing field of digital healthcare informatics and AI. They will have created tangible projects showcasing their ability to innovate and address real-world healthcare challenges.
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