White paper: A Roadmap for National Action on Clinical Decision Support

By J. Osheroff, J. Teich, Blackford Middleton, E. B. Steen, A. Wright, Don Eugene Detmer. J. Am. Medical Informatics Assoc., 2007

337 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Grand challenges in clinical decision support (2008, background): “These challenges resonate with the strategic objectives recently outlined by an expert panel in a roadmap for national action on CDS [3].”
An overview of clinical decision support systems: benefits, risks, and strategies for success (2020, background): “113,114 (2) It is important to identify changes in performance and use over time.”
What can Natural Language Processing do for Clinical Decision Support? (2009, background): “In theory, NLP systems might also be able to represent clinical knowledge and CDS interventions in standardized formats [4–6].”
Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review (2021, background): “Clinical Decision Support Systems are computer systems that “provide clinicians, staff, patients, or other individuals with knowledge and person-speciﬁc information, intelligently ﬁltered, or presented at appropriate times, to enhance health and health care” [22].”
Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making (2019, background): “Clinical decision support systems (CDSSes) provide clinicians with knowledge to enhance medical decision-making [37].”