[HTML][HTML] Feasibility of extracting key elements from ClinicalTrials. gov to support clinicians' patient care decisions
AMIA Annual Symposium Proceedings, 2017•pmc.ncbi.nlm.nih.gov
Motivation: Clinicians need up-to-date evidence from high quality clinical trials to support
clinical decisions. However, applying evidence from the primary literature requires
significant effort. Objective: To examine the feasibility of automatically extracting key clinical
trial information from ClinicalTrials. gov. Methods: We assessed the coverage of
ClinicalTrials. gov for high quality clinical studies that are indexed in PubMed. Using 140
random ClinicalTrials. gov records, we developed and tested rules for the automatic�…
clinical decisions. However, applying evidence from the primary literature requires
significant effort. Objective: To examine the feasibility of automatically extracting key clinical
trial information from ClinicalTrials. gov. Methods: We assessed the coverage of
ClinicalTrials. gov for high quality clinical studies that are indexed in PubMed. Using 140
random ClinicalTrials. gov records, we developed and tested rules for the automatic�…
Motivation: Clinicians need up-to-date evidence from high quality clinical trials to support clinical decisions. However, applying evidence from the primary literature requires significant effort. Objective: To examine the feasibility of automatically extracting key clinical trial information from ClinicalTrials.gov. Methods: We assessed the coverage of ClinicalTrials.gov for high quality clinical studies that are indexed in PubMed. Using 140 random ClinicalTrials.gov records, we developed and tested rules for the automatic extraction of key information. Results: The rate of high quality clinical trial registration in ClinicalTrials.gov increased from 0.2% in 2005 to 17% in 2015. Trials reporting results increased from 3% in 2005 to 19% in 2015. The accuracy of the automatic extraction algorithm for 10 trial attributes was 90% on average. Future research is needed to improve the algorithm accuracy and to design information displays to optimally present trial information to clinicians.
pmc.ncbi.nlm.nih.gov
Showing the best result for this search. See all results