Starting in summer 2018, SBMI will offer a new, 15 semester credit hour Graduate Certificate in Health Data Science. The certificate helps students who want to expand their understanding of the interrelatedness of healthcare, data analysis and data visualization.
Much like informatics, health data science focuses in the management and analysis of vast amounts of health data to address important questions in health care. The field is interdisciplinary and pulls elements from areas like statistics, computer programming, and mathematics.
Students studying health data science gain the knowledge and skills necessary to effectively analyze, interpret, and present health care data to increase quality, reduce costs, and improve operations.
The objective with health data science is to take the analyzed data and improve health care processes and procedures; making care delivery more efficient.
According to a Harvard Business Review article from Oct. 2017, hospitals “demand sophisticated data science.” The article also notes that when “used correctly, analytics tools can lower health care costs, reduce wait times, increase patient access, and unlock capacity with the infrastructure that’s already in place.”
The market has seen a rapid increase in demand for data scientists across various industries and health care is no exception. According to IDC Health Insights, the health care industry is expected to generate 25,000 petabytes of data by 2020. That is the equivalent of 500 billion four-drawer filing cabinets. With a growing need for professionals trained in the field of health data science, there are various career opportunities.
The course focuses on the application of health information technology for healthcare delivery, education and research as well as the multidisciplinary nature of biomedical informatics.
The course introduces methods in health data science – defining the problem, accessing, and loading the data, formatting into data structures required for analysis.
This project-based course provides an overview of the data analysis pipeline, from needs analysis to presentation of final results, with particular attention paid to the data quality issues encountered with biomedical data.
This course introduces the concepts and methods of database processing in the context of healthcare and biomedicine.
This course introduces the basics of information visualization, which is the use of interactive visual representations of data to amplify human cognition.
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