Learn how to unlock the power of data to improve health outcomes and patient care.
Electronic Health Records (EHRs) contain vast amounts of data. Yet typically, only 20 percent can be readily extracted.
In this certificate program, students learn how to apply machine learning, research methods, natural language processing, and database management to leverage the other 80 percent of "unstructured" health data. We work with our academic medical center partners to provide a hands-on, real-world healthcare database learning environment of more than two million patient encounters over 12 years (including structured and unstructured EHR data).
Curriculum
Loyola's Health Informatics Certificate is a 15 credit hour program.
Course List
| Code |
Title |
Hours |
| HIDS 401 | Foundations of Health Informatics | 3 |
| HIDS 411 | Clinical Data Science | 3 |
| HIDS 421 | Security and Privacy in Healthcare | 3 |
| HIDS 412 | Translational Bioinformatics | 3 |
| HIDS 422 | Ontologies in Healthcare | 3 |
| Total Hours | 15 |
Suggested Sequence of Courses
The below sequence of courses is meant to be used as a suggested path for completing coursework. An individual student’s completion of requirements depends on course offerings in a given term as well as the start term for a major or graduate study. Students should consult their advisor for assistance with course selection.
Plan of Study Grid
| Year 1 |
|---|
| Fall |
|---|
| HIDS 401 |
Foundations of Health Informatics |
3 |
| HIDS 411 |
Clinical Data Science |
3 |
| HIDS 421 |
Security and Privacy in Healthcare |
3 |
| | Hours | 9 |
| Spring |
|---|
| HIDS 412 |
Translational Bioinformatics |
3 |
| HIDS 422 |
Ontologies in Healthcare |
3 |
| | Hours | 6 |
| | Total Hours | 15 |
Graduate & Professional Standards and Regulations
Students in graduate and professional programs can find their Academic Policies in Graduate and Professional Academic Standards and Regulations under their school. Any additional University Policies supercede school policies.
Learning Outcomes
Graduates will be able to work with a multidisciplinary team of computer scientists, healthcare researchers, and data analysts to learn how to use open-source software packages to solve real healthcare programs.
