Rationale for the Arden Syntax
Computers and Biomedical Research
GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines
Journal of Biomedical Informatics
Identifying barriers to the effective use of clinical reminders: bootstrapping multiple methods
Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 2: Evaluation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Flexible guideline-based patient careflow systems
Artificial Intelligence in Medicine
Physician perceptions of clinical reminders
Proceedings of the 1st ACM International Health Informatics Symposium
Journal of Biomedical Informatics
Use of RSS Feeds for the Implementation of Clinical Reminder
Journal of Medical Systems
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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. Based on this literature, we suggest an exhaustive set of possible responses to clinical reminders, consisting of four responses named ''Compliance'', ''Reliance'', ''Spillover'' and ''Reactance''. 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.