Journal of biomedical informatics
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Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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Decision-support systems, and specifically rule-based clinical reminders, are becoming common in medical practice. Despite their potential to improve clinical outcomes, physicians do not always use information from these systems. Concepts from the cognitive engineering literature on users' responses to warning systems may help to define physicians' responses to reminders. ⋯ We suggest statistical measures to estimate these responses and empirically demonstrate them on data from a large-scale clinical reminder system for secondary prevention of cardiovascular diseases. There was evidence for Compliance, probably since the physicians found the reminders informative, but not for Reliance, in line with the notion that Compliance and Reliance are two distinct types of trust in information from decision-support systems. Our research supports the notion that CDSS can promote closing the treatment gap and improve physicians' adherence to guidelines.