| Literature DB >> 32266833 |
Monica M Bertagnolli1, Brian Anderson2, Andre Quina2, Steven Piantadosi1.
Abstract
Clinical trials provide evidence essential for progress in health care, and as the complexity of medical care has increased, the demand for such data has dramatically expanded. Conducting clinical trials has also become more complicated, evolving to meet increasing challenges in delivering clinical care and meeting regulatory requirements. Despite this, the general approach to data collection remains the same, requiring that researchers submit clinical data in response to study treatment protocols, using precisely defined data structures made available in study-specific case report forms. Currently, research data management is not integrated within the patient's clinical care record, creating added burden for clinical staff and opportunities for error. During the past decade, the electronic health record has become standard across the US healthcare system and is increasingly used to collect and analyze data reporting quality metrics for clinical care delivery. Recently, electronic health record data have also been used to address clinical research questions; however, this approach has significant drawbacks due to the unstructured and incomplete nature of current electronic health record data. This report describes steps necessary to use the electronic health record as a tool for conducting high-quality clinical research.Entities:
Keywords: Data standards; clinical trials design; electronic health records
Mesh:
Year: 2020 PMID: 32266833 DOI: 10.1177/1740774520913819
Source DB: PubMed Journal: Clin Trials ISSN: 1740-7745 Impact factor: 2.486