This course covers health sciences knowledge and skills necessary for global health innovators. It discusses the health sciences and population health knowledge underpinning global health systems, it explores quantitative health sciences methods and AI tools to analyze health data, socioeconomic determinants of health, and complex health systems, and it applies these quantitative health sciences knowledge and skills along with entrepreneurship and innovation concepts to make value-added propositions. The course provides a set of health sciences competencies that will empower students to challenge outdated health models, design new solutions, and lead to meaningful change in global health systems. The course includes a term project consisting of analyzing a global health sciences entrepreneurial case study.
Component(s):
"Seminar"; "Workshop"; Blended Learning (BL)
Notes:
This course is graded on a pass/fail basis.
This course is graded on a pass/fail basis.
Description:
The course covers biomedical sciences knowledge and skills necessary for global health innovators. The topics explored include visualization of biomedical sciences data from diverse sources, conditional probability and statistical reasoning to assess health intervention effectiveness and risk, the use of biomedical data AI models (including their performance, limitations, and potential biases), data standards across the biomedical sciences landscape including privacy and ethical concerns, using biomedical sciences knowledge with an entrepreneurial lens to explore the full biomedical innovation pathway, conducting a biomedical sciences industry analysis and market research, prototyping and developing a minimum viable product. The course includes a term project to develop an original biomedical business model canvas.
