1 - 10 of 38 results for: BIOMEDIN

Preference to sophomores. Concepts of genomics, high-throughput methods of data collection, and computational approaches to analysis of data. The social, ethical, and economic implications of genomic science. Students may focus on computational or social aspects of genomics.

Institutional, theoretical, and empirical analysis of the problems of health and medical care. Topics: demand for medical care and medical insurance; institutions in the health sector; economics of information applied to the market for health insurance and for health care; measurement and valuation of health; socioeconomic status and epidemiology; economics of obesity.Graduate students with research interests should take ECON 248. Prerequisites: ECON 50 and ECON 102A or Stats 116 or the equivalent. Recommended: ECON 51.

Series of colloquia offered by program faculty, students, and occasional guest lecturers. May be repeated three times for credit.

Participants report on recent articles from the Biomedical Informatics literature or their research projects. Goals are to teach critical reading of scientific papers and presentation skills. May be repeated three times for credit.

Primarily for M.D. students; open to other graduate students. Emphasis is on practical applications of bioinformatics and medical informatics for medicine, health care, clinicians, and biomedical research, focused on work at Stanford. Topics may include: methods to analyze genetic conditions, integrative methods for microarray, proteomic, and genomic data to understand the etiology of disease, clinical information systems in local healthcare facilities, cellular and radiology imaging, and pharmacogenomics. Enrollment for 2 units includes weekly assignments. Non-MD students may enroll for 1 unit. May be repeated for credit. Prerequisite: background in biomedicine. Recommended: background in programming.

Effective management, modeling, acquisition, and mining of biomedical information in healthcare and biotechnology companies and approaches to information management adopted by companies in this ecosystem. Guest speakers from pharmaceutical/biotechnology companies, clinics/hospitals, health communities/portals, instrumentation/software vendors. May be repeated for credit.

The widespread use of Health IT, such as Electronic Health Records, will radically alter the practice of medicine in the coming decades. Comprised of guest lectures, site visits and project assignments, the goal of this course is to provide an understanding of which software and technology designs can advance the delivery and quality of healthcare. May be taken for 1 unit (lectures only), 2 units (lectures and site visits), or 3 units (lectures, site visits, and project).

Methods for modeling biomedical systems and for making those models explicit in the context of building software systems. Emphasis is on intelligent systems for decision support and Semantic Web applications. Topics: knowledge representation, controlled terminologies, ontologies, reusable problem solvers, and knowledge acquisition. Recommended: exposure to object-oriented systems, basic biology.

Methods of designing and engineering software systems in complex clinical environments. Case studies illustrate factors leading to success or failure of systems. Project assignments involve focused team-based design work. Topics: user and organizational requirements, data and knowledge modeling, component-based system design, system prototyping, and human-systems interaction. Prerequisite: BIOMEDIN 210 recommended, or database or object-oriented programming course.