Integrating "big data" into surgical practice.

'Big data' is the next frontier of medicine. We now have the ability to generate and analyze large quantities of healthcare data. Although interpreting and integrating this information into clinical practice poses many challenges, the potential benefits of personalized medicine are seemingly without limit.

[1]  Christopher G. Chute,et al.  Some experiences and opportunities for big data in translational research , 2013, Genetics in Medicine.

[2]  K. Walley,et al.  Identification of a Nonsynonymous Polymorphism in the SVEP1 Gene Associated With Altered Clinical Outcomes in Septic Shock* , 2015, Critical care medicine.

[3]  P. Andersen,et al.  Genetic and environmental influences on premature death in adult adoptees. , 1988, The New England journal of medicine.

[4]  R. Tompkins,et al.  Development of a Genomic Metric That Can Be Rapidly Used to Predict Clinical Outcome in Severely Injured Trauma Patients* , 2013, Critical care medicine.

[5]  Purvesh Khatri,et al.  A comprehensive time-course–based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set , 2015, Science Translational Medicine.

[6]  F. Collins,et al.  Shattuck lecture--medical and societal consequences of the Human Genome Project. , 1999, The New England journal of medicine.

[7]  F. Collins,et al.  A new initiative on precision medicine. , 2015, The New England journal of medicine.

[8]  Marc S. Williams,et al.  Integration of Genomics into the Electronic Health Record: Mapping Terra Incognita , 2013, Genetics in Medicine.

[9]  K. Walley,et al.  Serious Adverse Events Associated With Vasopressin and Norepinephrine Infusion in Septic Shock* , 2014, Critical care medicine.

[10]  Brandon M. Welch,et al.  The Need for Clinical Decision Support Integrated with the Electronic Health Record for the Clinical Application of Whole Genome Sequencing Information , 2013, Journal of Personalized Medicine.

[11]  Iftikhar J. Kullo,et al.  Ethical, legal, and social implications of incorporating genomic information into electronic health records , 2013, Genetics in Medicine.

[12]  T. Hudson,et al.  The Genetic Basis for Cancer Treatment Decisions , 2012, Cell.

[13]  Ira J. Kalet,et al.  Feasibility of incorporating genomic knowledge into electronic medical records for pharmacogenomic clinical decision support , 2010, BMC Bioinformatics.