AIMC Topic: Documentation

Clear Filters Showing 121 to 130 of 162 articles

The value of simulation testing for the evaluation of ambient digital scribes: a case report.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: The objective of this work is to demonstrate the value of simulation testing for rapidly evaluating artificial intelligence (AI) products.

Ambient artificial intelligence scribes: utilization and impact on documentation time.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: To quantify utilization and impact on documentation time of a large language model-powered ambient artificial intelligence (AI) scribe.

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.

Journal of the American Medical Informatics Association : JAMIA
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.

Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis.

PloS one
BACKGROUND: Post-COVID conditions (PCC) have proven difficult to diagnose. In this retrospective observational study, we aimed to characterize the level of variation in PCC diagnoses observed across clinicians from a number of methodological angles a...

Assessment of Follow-Up for Pulmonary Nodules from Radiology Reports with Natural Language Processing.

Studies in health technology and informatics
Radiology reports are an essential communication method for ensuring smooth workflow in healthcare. However, many of these reports are described in free text, and findings documented by radiologists may not be adequately addressed. In this study, foc...

Integrating physics in deep learning algorithms: a force field as a PyTorch module.

Bioinformatics (Oxford, England)
MOTIVATION: Deep learning algorithms applied to structural biology often struggle to converge to meaningful solutions when limited data is available, since they are required to learn complex physical rules from examples. State-of-the-art force-fields...

Technology in Medicine: Improving Clinical Documentation.

FP essentials
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...

Reshaping Wound Care: Evaluation of an Artificial Intelligence App to Improve Wound Assessment and Management.

Studies in health technology and informatics
This study evaluated the usability and effectiveness of an artificial intelligence application for wound assessment and management from a clinician-and-patient perspective. A quasi-experimental design was conducted in four settings in an Australian h...

Advanced Care Planning Content Encoding with Natural Language Processing.

Studies in health technology and informatics
While advanced care planning (ACP) is an essential practice for ensuring patient-centered care, its adoption remains poor and the completeness of its documentation variable. Natural language processing (NLP) approaches hold promise for supporting ACP...

Generative AI Demonstrated Difficulty Reasoning on Nursing Flowsheet Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Excessive documentation burden is linked to clinician burnout, thus motivating efforts to reduce burden. Generative artificial intelligence (AI) poses opportunities for burden reduction but requires rigorous assessment. We evaluated the ability of a ...