Sullivan, Sarah A Morris, Richard Kounali, Daphne Kessler, David Hamilton, Willie Lewis, Glyn Lilford, Philippa Nazareth, Irwin
Published in
The British journal of general practice : the journal of the Royal College of General Practitioners
Early detection could reduce the duration of untreated psychosis. GPs are a vital part of the psychosis care pathway, but find it difficult to detect the early features. An accurate risk prediction tool, P Risk, was developed to detect these. To externally validate P Risk. This retrospective cohort study used a validation dataset of 1 647 934 UK Cl...
Avgerinou, Christina Walters, Kate Bazo-Alvarez, Juan Carlos Osborn, David West, Robert Michael Clegg, Andrew Petersen, Irene
Published in
The British journal of general practice : the journal of the Royal College of General Practitioners
Severe mental illness (SMI) has been associated with reduced bone density and increased risk of fractures, although some studies have shown inconsistent results. To examine the association between SMI and recorded diagnosis of osteoporosis and fragility fracture in people aged ≥50 years. Population-based cohort study set in UK primary care. Anonymi...
abrisqueta-costa, pau garcía-marco, josé antonio gutiérrez, antonio hernández-rivas, josé ángel andreu-lapiedra, rafael arguello-tomas, miguel leiva-farré, carolina lópez-roda, maría dolores callejo-mellén, ángel álvarez-garcía, esther
...
Objectives: The SRealCLL study described the occurrence of adverse events (AEs) and healthcare resource utilization in patients with chronic lymphocytic leukaemia (CLL) using artificial intelligence in a real-world scenario in Spain. Methods: We collected real-world data on patients with CLL from seven Spanish hospitals between January 2016 and Dec...
gurupur, varadraj p. giang, vu mayya, veena king, christian
Over the past two decades, there has been an enormous growth in the utilization of electronic health records (EHRs). However, the adoption and use of EHRs vary widely across countries, healthcare systems, and individual facilities. This variance poses several challenges for seamless communication between systems, leading to unintended consequences....
Chen, Sida Alvares, Danilo Jackson, Christopher Marshall, Tom Nirantharakumar, Krish Richardson, Sylvia Saunders, Catherine L Barrett, Jessica K
Peer reviewed: True / Multistate models provide a useful framework for modelling complex event history data in clinical settings and have recently been extended to the joint modelling framework to appropriately handle endogenous longitudinal covariates, such as repeatedly measured biomarkers, which are informative about health status and disease pr...
ademola, adetunji george, carlisle mapp, glenford
Interoperability has become crucial in the world of electronic health records, allowing for seamless data exchange and integration across diverse settings. It facilitates the integration of disparate systems, ensures that patient records are accessible, and enhances the care-delivery process. The current interoperability landscape of electronic hea...
Kim, Julie V. Davis, Sharon E. Matheny, Michael E. Smith, Joshua C.
Published in
Frontiers in Drug Safety and Regulation
Electronic health records (EHRs) have emerged as resources for both the identification of adverse drug events (ADEs) and general population health surveillance, however questions remain around how best to utilize EHR data for drug safety signal identification. While the majority of signal identification research has utilized spontaneous reports and...
Lee, Chanseo Vogt, Kimon A. Kumar, Sonu
Published in
Frontiers in Digital Health
Effective summarization of unstructured patient data in electronic health records (EHRs) is crucial for accurate diagnosis and efficient patient care, yet clinicians often struggle with information overload and time constraints. This review dives into recent literature and case studies on both the significant impacts and outstanding issues of patie...
endrich, olga nakas, christos t. triep, karen fiedler, georg m. caro, jaime j. mcguire, alistair
(1) Background: “Kidney Disease: Improving Global Outcomes” (KDIGO) provides guidelines for identifying the stages of acute kidney injury (AKI) and chronic kidney disease (CKD). A data-driven rule-based engine was developed to determine KDIGO staging compared to KD-related keywords in discharge letters. (2) Methods: To assess potential differences ...
Rinne, Seppo T. Brunner, Julian Hogan, Timothy P. Ferguson, Jacqueline M. Helmer, Drew A. Hysong, Sylvia J. McKee, Grace Midboe, Amanda Shepherd-Banigan, Megan E. Elwy, A. Rani
...
Published in
Frontiers in Digital Health
Objective Artificial intelligence (AI) is revolutionizing healthcare, but less is known about how it may facilitate methodological innovations in research settings. In this manuscript, we describe a novel use of AI in summarizing and reporting qualitative data generated from an expert panel discussion about the role of electronic health records (EH...
