MSIT3301
DIGITAL HEALTH APPL & ARCH
- Department
- Master of Science Info. Tech.
- Terms offered
- 1
- Data refreshed
- Jun 27, 2026
Description
Students will explore the design and implementation of Digital Healthcare Applications and their underlying Architecture. The course will provide an overview of foundational topics such as IT Service Management, IT support models, and Enterprise Architecture. Categories of healthcare applications will be discussed such as Electronic Health Records (EHR), Radiology Imaging, and Health Information Management (HIM). Through the lens of an Enterprise Architecture Assessment (EAA), students will learn methods for the successful design and deployment of these applications, including critical areas such as application security and disaster recovery. Students will delve into infrastructure concepts such as data storage and network architecture. The risks and benefits of emerging healthcare technologies will be examined with a particular focus on artificial intelligence, telehealth, and mobile applications. Hands-on activities, discussions, and a semester-long project will improve students' understanding of the complex integration of IT systems within the healthcare industry, preparing them for real-world challenges and innovations.
Syllabi
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Offering history & forecast 2025
2025
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: not enough history to forecast. | 2030 Intersession: not enough history to forecast. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: not enough history to forecast. | 2029 Intersession: not enough history to forecast. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: not enough history to forecast. | 2028 Intersession: not enough history to forecast. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: not enough history to forecast. | 2027 Intersession: not enough history to forecast. |
| 2025 | Not offered | 1 section | Not offered | Not offered |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first- Wed, 6:30 PM–9:30 PM JC106 2025
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2025 | Scott A. Nelson | Lecture | 1 | 29 of 30 enrolled | 34012 |