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Emotion sharing in remote patient monitoring of patients with chronic kidney disease
ConclusionPatients on home hemodialysis actively expressed their emotions during RPM. Negative emotions were found to have significant associations with TTD. The use of emoticons and sentimental analysis may be used as a predictive indicator for prolonged TTD. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - October 21, 2019 Category: Information Technology Source Type: research

The impact of drug order complexity on prospective medication order review and verification time
ConclusionThe findings suggest that there may be other factors involved in pharmacist decision-making that should be considered when categorizing drugs by perceived complexity. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - October 18, 2019 Category: Information Technology Source Type: research

Electronic consultations (E-consults) and their outcomes: a systematic review
ConclusionDespite stakeholder enthusiasm and encouraging results in the literature to date, more rigorous study designs applied across all outcomes are needed. Policy makers need to know what benefits may be expected in what contexts, so they can define appropriate measures of success and determine how to achieve them. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - October 17, 2019 Category: Information Technology Source Type: research

An augmented estimation procedure for EHR-based association studies accounting for differential misclassification
ConclusionsThe proposed estimator can effectively combine an error-prone phenotype with gold-standard data from a limited chart review in order to improve analyses of risk factors using EHR data. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - October 16, 2019 Category: Information Technology Source Type: research

Improving the phenotype risk score as a scalable approach to identifying patients with Mendelian disease
ConclusionsPheRS is a scalable method to study Mendelian disease at the population level using electronic health record data and can potentially be used to find patients with undiagnosed Mendelian disease. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - October 14, 2019 Category: Information Technology Source Type: research