The same technique was successfully employed at the University of Texas and accuracy was comparable to our previous results. Top associations included many medications that are highly specific for a particular problem as well as a large number of common, accurate medication-problem pairs that reflect practice patterns.
Problem inference alerts significantly increase notation of important patient problems in primary care, which in turn has the potential to facilitate quality improvement.
OBJECTIVE: To assess problem list completeness using an objective measure across a range of sites, and to identify success factors for problemlist completeness. METHODS: We conducted a retrospective analysis of electronic health record data and interviews at ten healthcare organizations within the United States, United Kingdom, and Argentina who use […]
R01HL122225 (PI – Adam Wright, PhD 2014-2018) An accurate, complete clinical problem list the cornerstone of a problem-oriented medical record, and research shows that accurate problem lists improve healthcare quality; however, problem lists are often incomplete. In this study, we will develop and evaluate an intervention to identify gaps in […]
