Millions of dollars are spent annually on the conduct of clinical trials, yet the results of many large and important trials are published only as text-based articles that both practitioners and researchers have difficulty finding, interpreting, or applying to clinical practice. The result is an inefficient transfer of evidence from the research world to the clinic, and a waste of precious resources.
The Trial Bank Project captures the design, execution and result information from randomized clinical trials (RCTs) directly into computer-understandable "trial banks," in order to enable more powerful knowledge management and automated discovery of clinical trial information, as well as more powerful decision support for trial quality assessment and evidence-based practice. We seek to capture trial information from any point during the life-cycle of a clinical trial, but primarily by changing the way clinical trials are published in the academic medical literature. We demonstrated proof of concept of "trial-bank publishing" in collaboration with the Annals of Internal Medicine and the Journal of the American Medical Association. The Trial Bank Project also collaborates with the National Center for Biomedical Ontology and the Electronic Primary Care and Research Network. Details of the project are available here.
Principal Investigator Ida Sim, MD, PhD
Informatics Research |
Trial Reporting |
Trial Visualization |
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the Ontology of Clinical Research the Eligibility Rule Grammar and Ontology the CTSA Human Studies Database project Rule Editor Prototype the data model for trial bank software Task Analysis of Systematic Reviewing design approach for trial banks |
browse a trial bank submit a trial CONSORT Plus Trial-Bank Reporting Guidelines extension of CONSORT to trial-bank publishing |
use tag clouds to search ClinicalTrials.gov download prototype and compare a set of MTCT of HIV trials upload trial data in XML and visualize |
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