A survey of informatics platforms that enable distributed comparative effectiveness research using multi-institutional heterogenous clinical data

The goal of this manuscript is to help investigators understand why informatics platforms are required and to compare and contrast six, large-scale, recently funded, CER-focused informatics platform development efforts. We identified six generic steps that are necessary in any distributed, multi-institutional CER project: data identification, extraction, modeling, aggregation, analysis, and dissemination.

Development of a Clinician Reputation Metric to Identify Appropriate Problem-Medication Pairs in a Crowdsourced Knowledge Base

BACKGROUND: Correlation of data within electronic health records is necessary for implementation of various clinical decision support functions, including patient summarization. A key type of correlation is linking medications to clinical problems; while some databases of problem-medication links are available, they are not robust and depend on problems and medications […]