| Literature DB >> 23920927 |
Justin Doods1, Kirstin Holzapfel, Martin Dugas, Fleur Fritz.
Abstract
Real world data is crucial for clinical research. In hospitals this information is more and more stored in electronic health records (EHR) and could be used for clinical trial feasibility and patient recruitment. On the other side eligibility criteria within study protocols are complex and usually not written in a way that is intuitively understandable or electronically usable. As part of overcoming the gap between eligibility criteria and the data that is available in EHRs we simplified eligibility criteria and created a guideline with best practice principles. The guideline explains how understandable criteria should be formulated and illustrates with examples what 'good' and 'bad' criteria are.Entities:
Mesh:
Year: 2013 PMID: 23920927
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630