AIMC Topic: Burnout, Professional
Clear Filters Showing 21 to 26 of 26 articles
Evaluation of an Ambient Artificial Intelligence Documentation Platform for Clinicians.
JAMA network open
May 1, 2025
IMPORTANCE: The increase of electronic health record (EHR) work negatively impacts clinician well-being. One potential solution is incorporating an ambient artificial intelligence (AI) documentation platform.
AI-Assisted Tailored Intervention for Nurse Burnout: A Three-Group Randomized Controlled Trial.
Worldviews on evidence-based nursing
Feb 1, 2025
BACKGROUND: High-stress environments, heavy workloads, and the emotional demands of patient care, which are common challenges faced by nurses, are factors that can lead to burnout. Shift work can make traditional burnout interventions costly and diff...
Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.
AI-Drafted Responses to Patients Reduced Clinician Burnout.
JAMA
May 7, 2024
Technology in Medicine: Improving Clinical Documentation.
FP essentials
Feb 1, 2024
The association between electronic health record (EHR) documentation and physician burnout is well-known. A combination of insufficient time to complete tasks, clinical documentation burden, and electronic inbox overload comprises the definition of d...
Performance and educational training of radiographers in lung nodule or mass detection: Retrospective comparison with different deep learning algorithms.
Medicine
Jun 11, 2021
The aim of this investigation was to compare the diagnostic performance of radiographers and deep learning algorithms in pulmonary nodule/mass detection on chest radiograph.A test set of 100 chest radiographs containing 53 cases with no pathology (no...
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