How next-generation sequencing and multiscale data analysis will transform infectious disease management

Theodore R. Pak, Andrew Kasarskis

Research output: Contribution to journalReview articlepeer-review

36 Scopus citations

Abstract

Recent reviews have examined the extent to which routine next-generation sequencing (NGS) on clinical specimens will improve the capabilities of clinical microbiology laboratories in the short term, but do not explore integrating NGS with clinical data from electronic medical records (EMRs), immune profiling data, and other rich datasets to create multiscale predictive models. This review introduces a range of "omics" and patient data sources relevant to managing infections and proposes 3 potentially disruptive applications for these data in the clinical workflow. The combined threats of healthcare-associated infections and multidrug-resistant organisms may be addressed by multiscale analysis of NGS and EMR data that is ideally updated and refined over time within each healthcare organization. Such data and analysis should form the cornerstone of future learning health systems for infectious disease.

Original languageEnglish
Pages (from-to)1695-1702
Number of pages8
JournalClinical Infectious Diseases
Volume61
Issue number11
DOIs
StatePublished - 1 Dec 2015

Keywords

  • electronic medical records
  • healthcare-associated infections
  • hospital-acquired infections
  • multiscale analysis
  • whole genome sequencing

Fingerprint

Dive into the research topics of 'How next-generation sequencing and multiscale data analysis will transform infectious disease management'. Together they form a unique fingerprint.

Cite this