AIMC Topic: Electronic Health Records

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Multi-Gate Mixture of Multi-View Graph Contrastive Learning on Electronic Health Record.

IEEE journal of biomedical and health informatics Jun 1, 2025
Electronic Health Record (EHR) is the digital form of patient visits that contains various medical data, including diagnosis, treatment, and lab events. Representation learning of EHR with deep learning methods has been beneficial for patient-related...
Algorithms Humans Electronic Health Records Neural Networks, Computer Deep Learning
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GenECG: a synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development.

BMJ health & care informatics May 31, 2025
OBJECTIVES: An image-based ECG dataset incorporating visual imperfections common to paper-based ECGs, which are typically scanned or photographed into electronic health records, could facilitate clinically useful artificial intelligence (AI)-ECG algo...
Electrocardiography Algorithms Databases, Factual Electronic Health Records Humans Artificial Intelligence
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Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions.

Journal of neuroengineering and rehabilitation May 26, 2025
In recent years, the fusion of the medical and computer science domains has gained significant traction in the scientific research landscape. Progress in both fields has enabled the generation of a vast amount of data used for making predictions and ...
Electronic Health Records Female Aged Machine Learning Algorithms Patient Discharge Nervous System Diseases Neurological Rehabilitation Adult Male Middle Aged Humans Artificial Intelligence
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From Admission to Discharge: Leveraging NLP for Upstream Primary Coding with SNOMED CT.

Journal of medical systems May 22, 2025
This study aims to describe implementing a SNOMED CT-coded health problem (HP) list at Hospital Clínic de Barcelona. The project focuses on enhancing the accuracy and efficiency of clinical coding by automating the process from patient admission, whi...
Systematized Nomenclature of Medicine Spain Patient Admission Clinical Coding Electronic Health Records Natural Language Processing Humans Patient Discharge
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Forecasting Surgical Bed Utilization: Architectural Design of a Machine Learning Pipeline Incorporating Predicted Length of Stay and Surgical Volume.

Journal of medical systems May 21, 2025
The objective of this study was to develop a machine learning model utilizing data from the electronic health record (EHR) to model length of stay and daily surgical volume, in order to subsequently predict daily surgical inpatient bed utilization. M...
Humans Machine Learning Forecasting Hospital Bed Capacity Electronic Health Records Length of Stay Bed Occupancy
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Optimal Vasopressin Initiation in Septic Shock: The OVISS Reinforcement Learning Study.

JAMA May 20, 2025
IMPORTANCE: Norepinephrine is the first-line vasopressor for patients with septic shock. When and whether a second agent, such as vasopressin, should be added is unknown.
Middle Aged Hospital Mortality Shock, Septic Humans Observational Studies as Topic Critical Illness Norepinephrine Vasoconstrictor Agents Female Aged Male Electronic Health Records Clinical Decision-Making Organ Dysfunction Scores Datasets as Topic Practice Guidelines as Topic Vasopressins Reinforcement Machine Learning
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Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting.

BMC medical informatics and decision making May 19, 2025
BACKGROUND: Despite the global commitment to ending AIDS by 2030, the loss of follow-up (LTFU) in HIV care remains a significant challenge. To address this issue, a data-driven clinical decision tool is crucial for identifying patients at greater ris...
Middle Aged HIV Infections Ethiopia Adult Male Lost to Follow-Up Humans Machine Learning Retrospective Studies Electronic Health Records Female
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Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer.

Scientific reports May 18, 2025
Palliative care is known to improve quality of life in advanced cancer. Natural language processing offers insights to how documentation around palliative care in relation to metastatic cancer has changed. We analyzed inpatient clinical notes using u...
Neoplasm Metastasis Palliative Care Natural Language Processing Documentation Humans Electronic Health Records Female Male Neoplasms
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Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services.

Journal of medical systems May 17, 2025
Automating Electronic Health Records (EHR) documentation can significantly reduce the burden on care providers, particularly in emergency care settings where rapid and accurate record-keeping is crucial. A critical aspect of this automation involves ...
Large Language Models Humans Electronic Health Records Emergency Medical Services Natural Language Processing Documentation
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Enhanced effective convolutional attention network with squeeze-and-excitation inception module for multi-label clinical document classification.

Scientific reports May 16, 2025
Clinical Document Classification (CDC) is crucial in healthcare for organizing and categorizing large volumes of medical information, leading to improved patient care, streamlined research, and enhanced administrative efficiency. With the advancement...
Humans Deep Learning Neural Networks, Computer Artificial Intelligence Electronic Health Records
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