Results 131 to 140 of about 102,740 (301)

eGFR slope as predictor of mortality in heart failure patients

ESC Heart Failure, Volume 12, Issue 2, Page 1217-1226, April 2025.
Abstract Aims Heart failure (HF) leads to an imbalance between heart and kidney function, resulting in poor outcomes. However, the prognostic significance of the estimated glomerular filtration rate (eGFR) trajectory in HF patients remains unclear. We analysed electronic health records (EHRs) of real‐world HF patients, assessing eGFR trajectories and ...
Sofie Verstreken, Monika Beles, Clara L. Oeste, Ana Moya, Imke Masuy, Riet Dierckx, Ward Heggermont, Jeroen Dauw, Dries Hens, Jozef Bartunek, Marc Vanderheyden   +10 more
wiley   +1 more source

EHR activity by level of training.

, 2019
EHR activity by level of training.
John Kugler (7256030), Jonathan H. Chen (2167054), Jason Bentley (1772707), Jeffrey Chi (6307760)   +3 more
core   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Using Routinely Collected Electronic Healthcare Record Data to Investigate Fibrotic Multimorbidity in England [Response to Letter]

Clinical Epidemiology
Georgie M Massen, Jennifer K Quint School of Public Health, Imperial College London, London, UKCorrespondence: Georgie M Massen, School of Public Health, Imperial College London, 86 Wood Lane, London, SW7 2AZ, UK, Email g.massen21@imperial.ac ...
Massen GM, Quint JK
doaj  

Characterizing sleep disturbances in developmental and epileptic encephalopathies through natural language processing: A retrospective monocentric study

Epilepsia, EarlyView.
Abstract Objective Sleep disorders are frequent but undercharacterized comorbidities in developmental and epileptic encephalopathies (DEEs). We aimed to estimate the frequency, spectrum, and burden of sleep disturbances across genetic DEE subtypes using real‐world data extracted from electronic health records (EHRs) through natural language processing (
Tommaso Lo Barco, Maxime Douillet, Nicole Chemaly, Audrey Duval, Gianluca D'onofrio, Nicolas Garcelon, Xiaoyi Chen, Rima Nabbout   +7 more
wiley   +1 more source

Using Routinely Collected Electronic Healthcare Record Data to Investigate Fibrotic Multimorbidity in England [Letter]

Clinical Epidemiology
Avid Wijaya,1 Endang Sri Dewi Hastuti Suryandari,1 Dea Allan Karunia Sakti,1 Tsalits Maulidah Hariez,1 Harinto Nur Seha2 1Medical Record and Health Information Department, Poltekkes Kemenkes Malang, Kota Malang, Jawa Timur, Indonesia; 2Medical Record and
Wijaya A, Suryandari ESDH, Sakti DAK, Hariez TM, Seha HN   +4 more
doaj  

VA's EHR transition and health professions trainee programs: Findings and impacts of a multistakeholder learning community

Learning Health Systems
Introduction The Department of Veterans Affairs (VA) is undergoing an unprecedented electronic health record (EHR) transition, switching from its homegrown EHR to a commercial system.
Julian Brunner, Ellen A. Ahlness, Ekaterina Anderson, Brianne K. Molloy‐Paolillo, Alexandre Braga, Sarah L. Cutrona, Christian D. Helfrich, Deborah Levy, Erin Matteau, Edward Walton, George Sayre, Seppo T. Rinne   +11 more
doaj   +1 more source

Validation of the diagnosis of Lennox–Gastaut syndrome: Challenges and lessons learned

Epilepsia, EarlyView.
Abstract Objective Lennox–Gastaut Syndrome (LGS) is a severe developmental and epileptic encephalopathy characterized by multiple seizure types, cognitive impairment, and distinct electroencephalographic (EEG) findings. However, evolving diagnostic criteria, heterogeneous clinical features, and inconsistent electronic health record (EHR) documentation ...
Nicole Villalba, Marc Rosenman, Sandi Lam, Kelly G. Knupp, Liu Lin Thio, William P. Welch, Stephanie C. Randle, Rebecca Garcia‐Sosa, Laurel Reed, Tracy Dixon‐Salazar, Maura Carroll, Anup D. Patel   +11 more
wiley   +1 more source

Learning health system research as a catalyst for promoting physician wellness: EHR InBasket Spring cleaning and team‐based compassion practice

Learning Health Systems
Introduction Addressing physician burnout is critical for healthcare systems. As electronic health record (EHR) workload and teamwork have been identified as major contributing factors to physician well‐being, we aimed to mitigate burnout through EHR ...
Ming Tai‐Seale, Amanda Walker, Yuwei Cheng, Nathan Yung, Sophie Webb, Ottar Lunde, David Bazzo, Ammar Mandvi, Neal Doran, Gene Kallenberg, Christopher A. Longhurst, Sidney Zisook, Thomas J. Savides, Marlene Millen, Lin Liu   +14 more
doaj   +1 more source

Ambient technology in epilepsy clinical practice

Epilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan, Justin F. Rousseau, Lidia M. Moura, Irfan S. Sheikh   +3 more
wiley   +1 more source