A data-driven concept schema for defining clinical research data needs.

ABSTRACT:

Objectives

The Patient, Intervention, Control/Comparison, and Outcome (PICO) framework is an effective technique for framing a clinical question. We aim to develop the counterpart of PICO to structure clinical research data needs.

Methods

We use a data-driven approach to abstracting key concepts representing clinical research data needs by adapting and extending an expert-derived framework originally developed for defining cancer research data needs. We annotated clinical trial eligibility criteria, EHR data request logs, and data queries to electronic health records (EHR), to extract and harmonize concept classes representing clinical research data needs. We evaluated the class coverage, class preservation from the original framework, schema generalizability, schema underst

SUBMITTER: Hruby GW 

PROVIDER: S-EPMC4873775 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature