AIMC Topic: Electronic Health Records
Clear Filters Showing 381 to 390 of 2552 articles
Impact of an Artificial Intelligence-Based Solution on Clinicians' Clinical Documentation Experience: Initial Findings Using Ambient Listening Technology.
Journal of general internal medicine
Jul 9, 2024
Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study.
JMIR research protocols
Jul 8, 2024
BACKGROUND: Pediatric asthma is a heterogeneous disease; however, current characterizations of its subtypes are limited. Machine learning (ML) methods are well-suited for identifying subtypes. In particular, deep neural networks can learn patient rep...
Revolutionizing urogynecology: Machine learning application with patient-centric technology: Promise, challenges, and future directions.
European journal of obstetrics, gynecology, and reproductive biology
Jul 6, 2024
In an epoch where digital innovation is redefining the medical landscape, electronic health records (EHRs) stand out as a pivotal transformative force. Urogynecology, a discipline anchored in intricate patient histories and meticulous follow-ups, is ...
Prediction of intra-abdominal injury using natural language processing of electronic medical record data.
Surgery
Jul 6, 2024
BACKGROUND: This study aimed to use natural language processing to predict the presence of intra-abdominal injury using unstructured data from electronic medical records.
Development and validation of machine learning models to predict MDRO colonization or infection on ICU admission by using electronic health record data.
Antimicrobial resistance and infection control
Jul 6, 2024
BACKGROUND: Multidrug-resistant organisms (MDRO) pose a significant threat to public health. Intensive Care Units (ICU), characterized by the extensive use of antimicrobial agents and a high prevalence of bacterial resistance, are hotspots for MDRO p...
Validation of an Electronic Health Record-Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding.
Gastroenterology
Jul 5, 2024
BACKGROUND & AIMS: Guidelines recommend use of risk stratification scores for patients presenting with gastrointestinal bleeding (GIB) to identify very-low-risk patients eligible for discharge from emergency departments. Machine learning models may o...
Nursing workload: use of artificial intelligence to develop a classifier model.
Revista latino-americana de enfermagem
Jul 5, 2024
OBJECTIVE: to describe the development of a predictive nursing workload classifier model, using artificial intelligence.
Using Artificial Intelligence in Electronic Health Record Systems to Mitigate Physician Burnout: A Roadmap.
Journal of healthcare management / American College of Healthcare Executives
Jul 3, 2024
Physician burnout, a significant problem in modern healthcare, adversely affects healthcare professionals and their organizations. This essay explores the potential of artificial intelligence (AI) to positively address this issue through its integrat...
Adherence of studies involving artificial intelligence in the analysis of ophthalmology electronic medical records to AI-specific items from the CONSORT-AI guideline: a systematic review.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Jul 2, 2024
PURPOSE: In the context of ophthalmologic practice, there has been a rapid increase in the amount of data collected using electronic health records (EHR). Artificial intelligence (AI) offers a promising means of centralizing data collection and analy...
Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Despite the vast potential for insights and value present in Electronic Health Records (EHRs), it is challenging to fully leverage all the available information, particularly that contained in the free-text data written by clinicians describing the h...
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