Large language models (#LLMs ) represent a rapidly advancing subset of artificial intelligence with significant potential to augment clinical practice. These tools can assist in literature synthesis, documentation, clinical reasoning, and patient communication. Despite demonstrated capabilities, adoption in healthcare remains limited due to barriers such as limited AI literacy, trust concerns, integration challenges, and generational… Continue reading Novelty to necessity: large language models in clinical practice-a call to action for physicians
Category: practice
Prevalence and Treatment of Anxiety and Depression Among US Healthcare Workers, 2021-2024
Background: Healthcare workers (HCWs) face high levels of psychological distress due to workplace stressors, but there is a paucity of evidence on the prevalence and treatment of anxiety and depression among HCWs.Objective: To examine the prevalence and treatment of self-reported #anxiety and #depression among HCWs.Design: Retrospective cross-sectional study using nationally representative data from the 2021-2024… Continue reading Prevalence and Treatment of Anxiety and Depression Among US Healthcare Workers, 2021-2024
Physician Intent to Reduce Hours and Intent to Leave Organizations
Importance: The COVID-19 pandemic was associated with a substantial prevalence of physicians intending to reduce their clinical hours (ITR) or intending to leave their current organization (ITL). It is unclear how work intentions have changed since that time.Objective: To characterize how the prevalence of ITR and ITL changed among #physicians since the COVID-19 pandemic, factors… Continue reading Physician Intent to Reduce Hours and Intent to Leave Organizations
Optimizing temporal windows for wearable-augmented post-discharge risk prediction: a methods study
Objective: Traditional #readmission risk models relying on static discharge data have limited predictive performance and fail to capture patients' recovery trajectories after hospitalization. We sought to identify optimal modeling parameters for dynamically predicting readmission risk using post-discharge step-count data from remote monitoring devices.Methods: We combined data for adults aged 55+ from 2 studies that collected… Continue reading Optimizing temporal windows for wearable-augmented post-discharge risk prediction: a methods study
Socioeconomic disparities in biologic persistence among patients with inflammatory bowel disease are associated with increased health care utilization
Introduction: Biologic persistence, defined as the total uninterrupted time on a biologic agent, is associated with improved outcomes in inflammatory bowel disease (#IBD ). However, social determinants of health (SDOH), such as socioeconomic status, may influence a patient's ability to access these medications. We aimed to better understand the relationship between socioeconomic status and biologic… Continue reading Socioeconomic disparities in biologic persistence among patients with inflammatory bowel disease are associated with increased health care utilization
From Advice to Action — Real-World Behavior of Patients Using an Integrated Diagnostic Decision Support System for Navigating the Health Care System
Artificial intelligence (#AI )–powered digital front door tools are increasingly being used to guide patients to appropriate care and alleviate health care system pressure. However, most evaluations offer limited insight into stated care intent, real-world behavior, or care appropriateness.MethodsThe E-Health Self–Symptom Assessment as a Front Door and Facilitator of Care (ESSENCE) study was a prospective… Continue reading From Advice to Action — Real-World Behavior of Patients Using an Integrated Diagnostic Decision Support System for Navigating the Health Care System
Opioid prescribing practices in the U.S. and subsequent falls: a scoping review protocol
Background: #Falls resulting from or related to #opioid use are a major concern for morbidity and mortality in the United States. The Centers for Disease Control and Prevention's Clinical Practice Guideline for Prescribing Opioids for Pain - United States 2022 seeks to enhance the effectiveness and safety of pain treatment by improving function and quality… Continue reading Opioid prescribing practices in the U.S. and subsequent falls: a scoping review protocol
Episode Charges and Subsequent Visits After Telemedicine vs In-Person Care
Importance: Telemedicine use increased during the COVID-19 pandemic and has remained a regular component of health care delivery. However, the financial implications of this change for health systems' reimbursement and utilization remain unclear.Objective: To compare 30-day episode charges and subsequent visits after telemedicine and in-person index visits.Design, setting, and participants: The target trial emulation conducted… Continue reading Episode Charges and Subsequent Visits After Telemedicine vs In-Person Care
Human-large language model collaboration in clinical medicine: a systematic review and meta-analysis
Human- #AI collaboration (H + AI) using large language models ( #LLMs ) offers a promising approach to enhance clinical reasoning, documentation, and interpretation tasks. Following PRISMA 2020 (PROSPERO registration: CRD420251068272), we systematically compared H + AI with human-only (H) workflows, searching four databases through June 28, 2025. Ten peer-reviewed studies met eligibility criteria, with… Continue reading Human-large language model collaboration in clinical medicine: a systematic review and meta-analysis
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