Impending Challenges for the Use of Big Data.

Advances in data storage and data analysis materialized also in health care data. In recent years, we have seen an emphasis on using the full potential (1, 2) of these data to answer questions such as: who were the patients that received radiation therapy as primary treatment? Who among such patients experienced radiation therapyerelated complications? Given everything you know about my case, what is the chance that if I choose radiation therapy, I will experience incontinence in the next year? Factors contributing to this trend include more rapid data querying technologies, cheaper data storage, addition of genomic data to traditional clinical data sets, “meaningful use incentives” for increasing the adoption of electronic health records, and recent emergence of precision medicine (3). In this perspective paper, we discuss several challenges ahead for big data, some that are being addressed now and others that will need to be addressed in the near future. The list of challenges presented here is not meant to be an exhaustive list but is rather driven by our big data experience. For each challenge, we provide comments on current approaches to address the challenge.