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Healthcare Decision Analysis (HCDA)
- Please email tonm@usc.edu for D-Class assignments.
Analysis and techniques to evaluate marketplace opportunities with product launching, positioning strategies, intelligence gathering and decision-making.
- Note: Visit hcda.usc.edu for class dates.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 49203D | 001 | Lecture | TBA | Sat, U | 61 of 68 | Ken Wong,Hormoz Moaven | OFFICE & ONLINE |   |
Basic overview focused on the coverage, payment, reimbursement and access to healthcare and pharmaceuticals across a global landscape including the US, EU, and the big five countries of Asia-Pacific.
- Note: This course will give instructions on class meetings on hcda.usc.edu
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 49204D | 001 | Lecture | TBA | Sat, U | 64 of 68 | Ken Wong | OFFICE & ONLINE | |
Comprehensive review of core biostatistics principles and applications through practical problem solving approach and case studies. Statistical methods, data validation and outcomes research, clinical trials.
- Note: Class will be held over 2 weekends. Visit hcda.usc.edu for class meeting dates. .
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 49207D | 001 | Lecture | TBA | Sat, U | 49 of 68 | Daniel Tomaszewski | OFFICE & ONLINE | |
Learn methods for working with large health data sets, including developing an analytic plan and selecting an appropriate data source, as well as practical skills needed to manage and use large health data sets to accomplish an analytic goal.
- Note: Visit hcda.usc.edu for schedule of classes.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 54000D | 001 | Lecture | TBA | TBA | 11 of 20 | Daniel Tomaszewski,Cody Arbuckle | OFFICE & ONLINE | |
Weekly seminar and literature series, review and discuss policy, biopharmaceuticals, insurance, global healthcare access issues. Student lead discussions, expert guest speakers, group projects, critical thinking.
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 54002D | 001 | 1.0 | Lecture | TBA | TBA | 2 of 10 | Ken Wong | OFFICE | |
Team projects solving real business problems in the healthcare industry by working directly with an existing company under the supervision of a faculty member.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 49217D | 001 | Lecture | TBA | TBA | 19 of 20 | John Stofko,Ken Wong | OFFICE | |
Part-time or full-time, practical work experience in the student's field of study. The internship must be located at an off-campus facility. Students are individually supervised by faculty. May not be taken until the student has completed at least one full academic year of enrollment in the graduate program with a cumulative 3.0 GPA.
- Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
- Note: Part-time or full-time, pracitical work experience in the student's field of study. The internship must be located at an off-campus facility. May not be taken until the student has completed at least one full academic year of enrollment in the graduate program with a cumulative 3.7 GPA.
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 49224D | 001 | 1.0 | Lecture | TBA | TBA | 1 of 20 | Ken Wong | OFFICE | |