Barriers and facilitators for the implementation of health condition and outcome registry systems: a systematic literature review.
Health condition and outcome registry systems (registries) are used to collect data related to diseases and other health-related outcomes in specific populations. The implementation of these programs encounters various barriers and facilitators. Therefore, the present review aimed to identify and classify these barriers and facilitators.
Author(s): Lazem, Mina, Sheikhtaheri, Abbas
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees.
After deploying a clinical prediction model, subsequently collected data can be used to fine-tune its predictions and adapt to temporal shifts. Because model updating carries risks of over-updating/fitting, we study online methods with performance guarantees.
Author(s): Feng, Jean, Gossmann, Alexej, Sahiner, Berkman, Pirracchio, Romain
Evidence synthesis teams, physicians, policy makers, and patients and their families all have an interest in following the outcomes of clinical trials and would benefit from being able to evaluate both the results posted in trial registries and in the publications that arise from them. Manual searching for publications arising from a given trial is a laborious and uncertain process. We sought to create a statistical model to automatically identify [...]
Author(s): Smalheiser, Neil R, Holt, Arthur W
Corrigendum to: Assessing the impact of the COVID-19 pandemic on clinician ambulatory electronic health record use.
Author(s): Holmgren, A Jay, Downing, N Lance, Tang, Mitchell, Sharp, Christopher, Longhurst, Christopher, Huckman, Robert S
Electronic health records (EHRs) contain a large quantity of machine-readable data. However, institutions choose different EHR vendors, and the same product may be implemented differently at different sites. Our goal was to quantify the interoperability of real-world EHR implementations with respect to clinically relevant structured data.
Author(s): Bernstam, Elmer V, Warner, Jeremy L, Krauss, John C, Ambinder, Edward, Rubinstein, Wendy S, Komatsoulis, George, Miller, Robert S, Chen, James L