Strategies in Biomedical Data Science: Driving Force for Innovation

The groundbreaking guide that lets biomedical professionals speak IT and vice versa

Strategies in Biomedical Data Science gives medical and IT professionals an authoritative place to turn for up–to–date guidance and best practices on managing the ever–increasing amount of healthcare data created each day. Most of the industry is incorporating the benefits of big data analysis into their processes, but the transition has been sluggish, and this practical guide starts by looking into why the current top–down methodologies are not working. Then, through illuminating examples and straightforward explanations free from confusing jargon, you gain a sophisticated understanding of the most relevant ways to develop technology for the biomedical industry, with an eye on more effectively using resources and better serving the patient and the payer. You get:

A complete overview of the topic, including how to design the infrastructure, manage the data, and execute the analysis Practical insight into cloud computing and emerging enterprise architectures An insider′s tour of Arizona State University′s solution to serve the research community and key collaborators

Optimize your data management by facing it head–on with Strategies in Biomedical Data Science.

JAY A. ETCHINGS is the director of operations at Arizona State University′s Research Computing program, where he is responsible for developing innovative architectures to progress fluid technical environments supporting highly computational workloads, peta–scale data analysis, next–generation cyber capabilities, and emerging network innovations.