Standards-based, computable knowledge representations for eligibility criteria are increasingly
needed to provide computer-based decision support for automated research participant …

Current efforts to define and implement health data standards are driven by issues related to
the quality, cost and continuity of care, patient safety concerns, and desires to speed clinical …

Patient registries are essential tools for public health surveillance and research inquiry, and
are a particularly important resource for understanding rare diseases. Registries provide …

Widespread sharing of data from electronic health records and patient-reported outcomes
can strengthen the national capacity for conducting cost-effective clinical trials and allow …

Objective This study compares the yield and characteristics of diabetes cohorts identified
using heterogeneous phenotype definitions. Materials and methods Inclusion criteria from …

Objective The combination of phenomic data from electronic health records (EHR) and clinical
data repositories with dense biological data has enabled genomic and pharmacogenomic …

A movement to create a global patient registry for as many as 7,000 rare diseases was
launched at a workshop, "Advancing Rare Disease Research: The Intersection of Patient …

Background Big data and cutting-edge analytic methods in nursing research challenge
nurse scientists to extend the data sources and analytic methods used for discovering and …

Case report forms (CRFs) are used for structured-data collection in clinical research studies.
Existing CRF-related standards encompass structural features of forms and data items, …

Objectives: The goal of this survey is to discuss the impact of the growing availability of
electronic health record (EHR) data on the evolving field of Clinical Research Informatics (CRI), …