Program: MSIS/PhD
Catalog Description
Exploration of major components of health IT systems, ranging from data semantics (ICD10), data interoperability (FHIR), diagnosis code (SNOMED CT), to workflow in clinical decision support systems. After establishing a good understanding of the fundamentals of health IT systems, we will dive deep into how AI innovations (e.g., machine learning, deep learning, computer vision) are transforming our healthcare system by introducing new concepts of mobile health, AI diagnosis, AI medicine, smart device, and intelligent delivery.
Prerequisites
Graduate standing.
Scheduled and Upcoming Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
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| INF 385T: Special Topics in Information Science: AI in Health
Ying Ding |
Fall Term 2025 |
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| INF 385T: Special Topics in Information Science: AI in Health
Ying Ding |
Spring Term 2025 |
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Past Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
|---|---|---|---|---|---|---|
| INF 385T: Special Topics in Information Science: AI in Health
Ying Ding Syllabus |
Spring Term 2024 |
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| INF 385T: Special Topics in Information Science: AI in Health
Ying Ding Syllabus |
Spring Term 2023 |
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| INF 385T: Special Topics in Information Science: AI in Health
Ying Ding Syllabus |
Spring Term 2022 |
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