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The objective was to understand the association between people with adequate and inadequate health literacy (HL) in the All of Us cohort.

To develop a corpus annotated for diet-microbiome associations from the biomedical literature and train natural language processing (NLP) models to identify these associations, thereby improving the understanding of their role in health and disease, and supporting personalized nutrition strategies.

To characterize patient and clinician perceived barriers and facilitators to using electronic patient-generated data (PGD) in safety-net systems.

To conduct a meta-ethnographic synthesis summarizing the overarching themes of the qualitative literature on nurse interaction with medication administration technologies (MAT) comprising electronic medication administration record (eMAR) and bar-coded medication administration (BCMA).

Background In recent years, there has been an expansion in the literature on the effects of computerized alerts on prescribing and patient outcomes. The aim of our study was to examine the impact of these systems on clinician prescribing and patient outcomes. Methods We searched three databases (Medline, Embase and PsychINFO) for studies that had been conducted since 2009 and included studies that examined the effects of alerts at the [...]

Electronic health records (EHR) are widely implemented and consume nearly half of physicians' work time. Despite the importance of efficient data entry, physicians' typing skills - potential contributors to documentation burden - remain poorly studied.

Clinical decision support systems (CDSS) are central to modern healthcare, but their effectiveness is compromised during system downtimes, which affect 96% of healthcare organizations. During these failures, clinicians lose access to critical decision-making tools like order sets, increasing the risk of medical errors. Traditional downtime solutions, such as paper-based protocols, are often impractical and difficult to maintain.

Immunotherapies have revolutionized the landscape of cancer treatments. However, our understanding of response patterns in advanced cancers treated with immunotherapy remains limited. By leveraging routinely collected noninvasive longitudinal and multimodal data with artificial intelligence, we could unlock the potential to transform immunotherapy for cancer patients, paving the way for personalized treatment approaches.

Diagnosing post-traumatic stress disorder (PTSD) remains a challenge due to symptom variability and comorbidities. Linguistic analysis offers an innovative approach to identify PTSD symptoms and severity. This systematic review aimed at identifying linguistic features associated with PTSD, assessing the quality and limitations of existing studies, summarizing the predictive performance of identified models, and describing the clinical utility of these models.

Electronic Health Record (EHR) patient portal messaging has become as essential tool for patient-clinician communication by improving accessibility to primary care. While messaging is beneficial for patients, it can increase clinicians' workloads. Female clinicians receive a greater number of EHR messaging, resulting in an increased workload.