  Big medical data poses great challenges to life scientists, clinicians,
computer scientists, and engineers. In this paper, a group of life scientists,
clinicians, computer scientists and engineers sit together to discuss several
fundamental issues. First, what are the unique characteristics of big medical
data different from those of the other domains? Second, what are the
prioritized tasks in clinician research and practices utilizing big medical
data? And do we have enough publicly available data sets for performing those
tasks? Third, do the state-of-the-practice and state-of-the-art algorithms
perform good jobs? Fourth, are there any benchmarks for measuring algorithms
and systems for big medical data? Fifth, what are the performance gaps of
state-of-the-practice and state-of-the-art systems handling big medical data
currently or in future? Finally but not least, are we, life scientists,
clinicians, computer scientists and engineers, ready for working together? We
believe answering the above issues will help define and shape the landscape of
big medical data.
