Health Informatics Capstone & Innovation Project

סקירה כללית

This course is designed for intermediate to advanced students in health informatics who are eager to apply their theoretical knowledge in practical settings. Participants will learn to design and implement real-world projects in both Clinical Health and Public Health environments.

The course covers the selection and execution of projects, focusing on innovations that enhance patient and provider experiences through Electronic Health Record (EHR) systems and FHIR servers. Students will gain hands-on experience in integrating with EHR systems, simulating patient journeys, and analyzing population-level trends using large-scale data frameworks.

By the end of the course, participants will be equipped with the skills necessary to tackle complex health informatics challenges and contribute to meaningful improvements in healthcare delivery.

סילבוס

• Health Informatics Application & Implementation
This module introduces the theoretical foundation for responsible AI innovation through “Contextual Intelligence,” highlighting how real-world context shapes safe algorithm use. Learners will analyze the AI Hype Cycle and apply tools like NABC and SWOT to design and evaluate healthcare innovations.
• Healthcare AI Innovation Project
This Capstone Project moves learners from theory to practice by deploying lightweight local LLMs using LMStudio and evaluating their safety against RxNorm drug fact sheets. Learners will score model accuracy and reliability, then use the results to develop a strategic innovation plan using NABC and SWOT frameworks.

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נלמד על ידי

Frank Naeymi-Rad

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נושאים

Computer Science