AIMC Topic: Electronic Health Records
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Machine learning to improve HIV screening using routine data in Kenya.
Journal of the International AIDS Society
Apr 1, 2025
INTRODUCTION: Optimal use of HIV testing resources accelerates progress towards ending HIV as a global threat. In Kenya, current testing practices yield a 2.8% positivity rate for new diagnoses reported through the national HIV electronic medical rec...
Artificial Intelligence Scribes Shape Health Care Delivery.
American family physician
Apr 1, 2025
Although most physicians are interested in the use of augmented or artificial intelligence (AI) in health care, only 38% are using AI in their practices.1 Initial results from AI integrated organizations show that AI scribe programs significantly dec...
Applications, challenges and future directions of artificial intelligence in cardio-oncology.
European journal of clinical investigation
Apr 1, 2025
BACKGROUND: The management of cardiotoxicity related to cancer therapies has emerged as a significant clinical challenge, prompting the rapid growth of cardio-oncology. As cancer treatments become more complex, there is an increasing need to enhance ...
Multimodal Artificial Intelligence Models Predicting Glaucoma Progression Using Electronic Health Records and Retinal Nerve Fiber Layer Scans.
Translational vision science & technology
Mar 3, 2025
PURPOSE: The purpose of this study was to develop models that predict which patients with glaucoma will progress to require surgery, combining structured data from electronic health records (EHRs) and retinal fiber layer optical coherence tomography ...
Exploring the full potential of the electronic health record: the application of natural language processing for clinical practice.
European journal of cardiovascular nursing
Mar 3, 2025
The electronic health record (EHR) contains valuable patient data and offers opportunities to administer and analyse patients' individual needs longitudinally. However, most information in the EHR is currently stored in unstructured text notations. N...
Reducing readmissions in the safety net through AI and automation.
The American journal of managed care
Mar 1, 2025
OBJECTIVES: To implement a technology-based, systemwide readmission reduction initiative in a safety-net health system and evaluate clinical, care equity, and financial outcomes.
Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.
Birth defects research
Mar 1, 2025
BACKGROUND: International Classification of Disease (ICD) codes can accurately identify patients with certain congenital heart defects (CHDs). In ICD-defined CHD data sets, the code for secundum atrial septal defect (ASD) is the most common, but it h...
Development of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
BACKGROUND: Generative AI, particularly large language models (LLMs), holds great potential for improving patient care and operational efficiency in healthcare. However, the use of LLMs is complicated by regulatory concerns around data security and p...
RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
OBJECTIVE: To develop an advanced multi-task large language model (LLM) framework for extracting diverse types of information about dietary supplements (DSs) from clinical records.
A dataset and benchmark for hospital course summarization with adapted large language models.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
OBJECTIVE: Brief hospital course (BHC) summaries are clinical documents that summarize a patient's hospital stay. While large language models (LLMs) depict remarkable capabilities in automating real-world tasks, their capabilities for healthcare appl...
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