Introduction to Clinical Informatics (PHIT II)

The Introduction to Clinical Informatics course is designed for learners interested in understanding how healthcare data, digital tools, and information systems are transforming patient care, clinical workflows, and public health decision-making. Whether you're a healthcare professional, a student entering the field, or a career changer eager to break into health IT, this course offers a strong foundation in a rapidly growing discipline.

Participants will gain hands-on exposure to key topics such as electronic health records (EHRs), healthcare data standards (like HL7 and FHIR), clinical terminologies (such as SNOMED, LOINC, and RxNorm), and federal policies shaping interoperability and data sharing. The course also introduces practical tools—including predictive modeling, Python, and generative AI—for analyzing real-world health data.

By the end of the course, learners will:

• Understand the fundamental principles and terminology of clinical informatics

• Recognize how structured health data is used to drive clinical decisions, improve quality, and enhance patient safety

• Explore the technical and policy frameworks that support healthcare interoperability

• Develop the ability to critically analyze health data in support of population health, care management, and quality improvement initiatives

This course is ideal for those looking to:

• Strengthen their digital health and data literacy

• Expand their knowledge of the systems that power modern healthcare

• Apply informatics knowledge to real-world projects and use cases

No prior technical or programming experience is required. All backgrounds are welcome—we teach from the ground up, with the goal of empowering participants to take on roles in health IT, informatics, and public health technology.

Ready to step into the future of healthcare? Learn more and enroll today.