Novel approach to utilizing electronic health records for dermatologic research: developing a multi-institutional federated data network for clinical and translational research in psoriasis and psoriatic arthritis

Dermatol Online J. 2012 May 15;18(5):2.

Abstract

The implementation of Electronic Health Records (EHR) in the United States has created new opportunities for research using automated data extraction methods. A large amount of information from the EHR can be utilized for clinical and translational research. To date, a number of institutions have the capability of extracting clinical data from EHR to create local repositories of de-identified data amenable to research queries through the Informatics for Integrated Biology and the Bedside (i2b2) platform. Collaborations among institutions sharing a common i2b2 platform hold exciting opportunities for research in psoriasis and psoriatic arthritis. With the automated extraction of patient-level data from multiple institutions, this novel informatics network has the ability to address high-priority research questions. With commitment to high-quality data through applied algorithms for cohort identification and validation of outcomes, the creation of Psoriasis and Psoriatic Arthritis Integrated Research Data Network (PIONEER) will make a significant contribution to psoriasis and psoriatic arthritis research.

Publication types

  • Review

MeSH terms

  • Algorithms
  • Arthritis, Psoriatic / diagnosis
  • Arthritis, Psoriatic / epidemiology*
  • Arthritis, Psoriatic / therapy
  • Biomedical Research / methods*
  • Cohort Studies
  • Comorbidity
  • Computer Communication Networks
  • Electronic Health Records / statistics & numerical data*
  • Hospital Information Systems / organization & administration
  • Humans
  • Information Storage and Retrieval
  • Myocardial Infarction / epidemiology
  • Pharmacovigilance
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Psoriasis / diagnosis
  • Psoriasis / epidemiology*
  • Psoriasis / therapy
  • Reproducibility of Results
  • Translational Research, Biomedical / methods
  • United Kingdom