AIMC Topic: Quality Improvement
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Use of a Medical Communication Framework to Assess the Quality of Generative Artificial Intelligence Replies to Primary Care Patient Portal Messages: Content Analysis.
JMIR formative research
Jul 31, 2025
BACKGROUND: There is growing interest in applying generative artificial intelligence (GenAI) to respond to electronic patient portal messages, particularly in primary care where message volumes are highest. However, evaluations of GenAI as an inbox c...
Leveraging AI to Optimize Maintenance of Health Evidence and Offer a One-Stop Shop for Quality-Appraised Evidence Syntheses on the Effectiveness of Public Health Interventions: Quality Improvement Project.
Journal of medical Internet research
Jul 29, 2025
BACKGROUND: Health Evidence provides access to quality appraisals for >10,000 evidence syntheses on the effectiveness and cost-effectiveness of public health and health promotion interventions. Maintaining Health Evidence has become increasingly reso...
Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation.
JMIR medical informatics
Jul 10, 2025
BACKGROUND: Understanding and improving patient care is pivotal for health care providers. With increasing volumes of the Friends and Family Test (FFT) data in England, manual analysis of this patient feedback poses challenges for many health care or...
Predicting opportunities for improvement in trauma care using machine learning: a retrospective registry-based study at a major trauma centre.
BMJ open
Jun 6, 2025
OBJECTIVE: To develop models to predict opportunities for improvement in trauma care and compare the performance of these models to the currently used audit filters.
Machine Learning Multimodal Model for Delirium Risk Stratification.
JAMA network open
May 1, 2025
IMPORTANCE: Automating the identification of risk for developing hospital delirium with models that use machine learning (ML) could facilitate more rapid prevention, identification, and treatment of delirium. However, there are very few reports on th...
Exploring Suitability of Low-Severity Rating Hospital Incident Reports for Machine Learning.
Computers, informatics, nursing : CIN
May 1, 2025
Electronic incident reporting is a key quality and a safety process for healthcare organizations that assists in evaluating performance and informing quality improvement initiatives. Although it is mandatory for high-severity incident reports to be i...
Improved radiological diagnosis of osteoporotic vertebral fragility fractures following UK-wide interventions and re-audit-can this be maintained and translated into clinical practice?
Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
Apr 22, 2025
UNLABELLED: To determine the potential economic, morbidity and mortality impact of improvements in reporting of vertebral fragility fractures (VFFs) following a complete audit cycle. Six percent interval increase in reporting of moderate/severe VFFs ...
Rigorous validation of machine learning in laboratory medicine: guidance toward quality improvement.
Critical reviews in clinical laboratory sciences
Apr 17, 2025
The application of artificial intelligence (AI) in laboratory medicine will revolutionize predictive modeling using clinical laboratory information. Machine learning (ML), a sub-discipline of AI, involves fitting algorithms to datasets and is broadly...
Image quality improvement in head and neck angiography based on dual-energy CT and deep learning.
BMC medical imaging
Apr 10, 2025
OBJECTIVE: Compare the image quality of image reconstructed using deep learning-based image reconstruction (DLIR) and iterative reconstruction algorithms for head and neck dual-energy CT angiography (DECTA).
Computed Tomography Angiography
Radiography, Dual-Energy Scanned Projection
Artifacts
Head
Signal-To-Noise Ratio
Algorithms
Male
Prospective Studies
Neck
Middle Aged
Aged
Tomography, X-Ray Computed
Deep Learning
Radiographic Image Interpretation, Computer-Assisted
Humans
Aged, 80 and over
Female
Head and Neck Neoplasms
Quality Improvement
Adult
Improving diagnosis-based quality measures: an application of machine learning to the prediction of substance use disorder among outpatients.
BMJ open quality
Mar 22, 2025
OBJECTIVE: Substance use disorder (SUD) is clinically under-detected and under-documented. We built and validated machine learning (ML) models to estimate SUD prevalence from electronic health record (EHR) data and to assess variation in facility-lev...
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