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Objective: To qualify the use of patient clinical records as non-human-subject for research purpose, electronic medical record data must be de-identified so there is minimum risk to protected health information exposure. This study demonstrated a robust framework for structured data de-identification that can be applied to any relational data source that needs to be de-identified.Methods: Using a real world clinical data warehouse, a pilot implementation of limited subject areas were used to demonstrate and evaluate this new de-identification process. Query results and performances are compared between source and target system to validate data accuracy and usability.Results: The combination of hashing, pseudonyms, and session dependent randomizer provides a rigorous de-identification framework to guard against 1) source identifier exposure; 2) internal data analyst manually linking to source identifiers; and 3) identifier cross-link among different researchers or multiple query sessions by the same researcher. In addition, a query rejection option is provided to refuse queries resulting in less than preset numbers of subjects and total records to prevent users from accidental subject identification due to low volume of data. This framework does not prevent subject re-identification based on prior knowledge and sequence of events. Also, it does not deal with medical free text de-identification, although text de-identification using natural language processing can be included due its modular design.Conclusion: We demonstrated a framework resulting in HIPAA Compliant databases that can be directly queried by researchers. This technique can be augmented to facilitate inter-institutional research data sharing through existing middleware such as caGrid. [ABSTRACT FROM AUTHOR]

Over the last 15 years, investigators have identified small noncoding RNAs as regulators of gene expression. One type of noncoding RNAs are termed microRNAs (miRNAs). miRNAs are evolutionary conserved, approximately 22-nucleotide single-stranded RNAs that target genes by inducing mRNA degradation or by inhibiting translation. miRNAs are implicated in many critical cellular processes, including apoptosis, proliferation, and differentiation. Furthermore, it is estimated that miRNAs may be responsible for regulating the expression of nearly one-third of the human genome. Despite the identification of greater than 500 mature miRNAs, very little is known about their biological functions and functional targets. In the last 5 years, researchers have increasingly focused on the functional relevance and role that miRNAs play in the pathogenesis of human disease. miRNAs are known to be important in solid organ and hematological malignancies, heart disease, as potential modulators of the immune response, and organ development. It is anticipated that miRNA analysis will emerge as an important complement to proteomic and genomic studies to further our understanding of disease pathogenesis. Despite the application of genomics and proteomics to the study of human lung disease, few studies have examined miRNA expression. This perspective is not meant to be an exhaustive review of miRNA biology but will provide an overview of both miRNA biogenesis and our current understanding of the role of miRNAs in lung disease as well as a perspective on the importance of integrating this analysis as a tool for identifying and understanding the biological pathways in lung-disease pathogenesis. [ABSTRACT FROM AUTHOR]