AIMC Topic: Electronic Health Records
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Dual-stream algorithms for dementia detection: Harnessing structured and unstructured electronic health record data, a novel approach to prevalence estimation.
Alzheimer's & dementia : the journal of the Alzheimer's Association
May 1, 2025
INTRODUCTION: Identifying individuals with dementia is crucial for prevalence estimation and service planning, but reliable, scalable methods are lacking. We developed novel set algorithms using both structured and unstructured electronic health reco...
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.
Evaluation of AI Summaries on Interdisciplinary Understanding of Ophthalmology Notes.
JAMA ophthalmology
May 1, 2025
IMPORTANCE: Specialized ophthalmology terminology limits comprehension for nonophthalmology clinicians and professionals, hindering interdisciplinary communication and patient care. The clinical implementation of large language models (LLMs) into pra...
The value of simulation testing for the evaluation of ambient digital scribes: a case report.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2025
OBJECTIVES: The objective of this work is to demonstrate the value of simulation testing for rapidly evaluating artificial intelligence (AI) products.
Robust privacy amidst innovation with large language models through a critical assessment of the risks.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2025
OBJECTIVE: This study evaluates the integration of electronic health records (EHRs) and natural language processing (NLP) with large language models (LLMs) to enhance healthcare data management and patient care, focusing on using advanced language mo...
Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2025
OBJECTIVES: Adverse event detection from Electronic Medical Records (EMRs) is challenging due to the low incidence of the event, variability in clinical documentation, and the complexity of data formats. Pulmonary embolism as an adverse event (PEAE) ...
Patient and clinician acceptability of automated extraction of social drivers of health from clinical notes in primary care.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2025
OBJECTIVE: Artificial Intelligence (AI)-based approaches for extracting Social Drivers of Health (SDoH) from clinical notes offer healthcare systems an efficient way to identify patients' social needs, yet we know little about the acceptability of th...
Large language models are less effective at clinical prediction tasks than locally trained machine learning models.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2025
OBJECTIVES: To determine the extent to which current large language models (LLMs) can serve as substitutes for traditional machine learning (ML) as clinical predictors using data from electronic health records (EHRs), we investigated various factors ...
Mitigation of outcome conflation in predicting patient outcomes using electronic health records.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2025
OBJECTIVES: Artificial intelligence (AI) models utilizing electronic health record data for disease prediction can enhance risk stratification but may lack specificity, which is crucial for reducing the economic and psychological burdens associated w...
Predicting Diagnostic Progression to Schizophrenia or Bipolar Disorder via Machine Learning.
JAMA psychiatry
May 1, 2025
IMPORTANCE: The diagnosis of schizophrenia and bipolar disorder is often delayed several years despite illness typically emerging in late adolescence or early adulthood, which impedes initiation of targeted treatment.
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