Abstract
This perspective provides a rationale for redesigning and a framework for expanding the graduate health science analytics and biomedical doctoral program curricula. It responds to digital revolution pressures, ubiquitous proliferation of big biomedical data, substantial recent advances in scientific technologies, and rapid progress in health analytics. Specifically, the paper presents a set of common prerequisites, a proposal for core computational and data analytic curriculum, and a list of expected outcome competencies for graduates of doctoral health science and biomedical programs. The manuscript emphasizes the necessity for coordinated efforts of all stakeholders, including trainees, educators, academic institutions, funding agencies, and policy makers. Concrete recommendations are presented of how to ensure graduates with terminal health science analytics and biomedical degrees are trained and able to continuously self-learn, effectively communicate across disciplines, and promote adaptation and change to counteract the relentless pace of automation and the law of diminishing returns.
Highlights
Rapid advances in biomedical research and health science discoveries impact all human experiences
The role of continuous self-learning is paramount in the future on-demand economy, where rapid developments and technological advances quickly render static technical skills obsolete
One of the best lessons biomedical and health science doctoral program graduates should learn is the value of sustained lifelong commitment to learning, retooling, knowledge refreshing, and dynamic skill building
Summary
Rapid advances in biomedical research and health science discoveries impact all human experiences. Further progress in this extremely interdisciplinary field requires reexamining policies, funding mechanisms, institutional organizations, graduate education, and training curricula, as well as financial incentives and distribution of limited health resources and services. Future graduates of quantitative biomedical and health science analytics graduate programs will play important roles in legislation, population-wide healthcare policies, and the economic, social, and behavioral determinants of human health. Graduates of doctoral biomedical and health science programs should be prepared to continuously self-learn, play active roles in research, participate in health policy, and engage in transdisciplinary collaborations. To be successful in these endeavors, a level of prerequisites is required prior to enrollment in the programs, and the expectations of freshly minted scholars should include technical competencies and transdisciplinary skills to ensure their long-term career success
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