AIMC Topic: Electronic Health Records
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Automating Performance Status Annotation in Oncology Using Llama-3.
Studies in health technology and informatics
May 15, 2025
This work explores the automated extraction of medical information from Dutch clinical notes using Llama-3 and a limited amount of annotations. We compared zero-, one- and few-shot learning for the extraction of performance status of patients with pa...
Applying AI to Support Categorization of Heterogeneous Epidemiological Datasets.
Studies in health technology and informatics
May 15, 2025
The significance of Findable, Accessible, Interoperable, and Reusable (FAIR) data is increasing, particularly in the context of enhancing data reuse in research. The National Research Data Infrastructure for Personal Health Data (NFDI4Health) aims to...
Smoking Status Normalization with Cross-Encoders and SNOMED CT.
Studies in health technology and informatics
May 15, 2025
Accurately documenting smoking status is essential for clinical decision-making and patient care. However, smoking status information is often only available in clinical narratives. Mapping smoking-related terms to standardized terminologies such as ...
Comparative Analysis of ChatGPT-4 for Automated Mapping of Local Medical Terminologies to SNOMED CT.
Studies in health technology and informatics
May 15, 2025
Standardizing medical terminology is critical for healthcare informatics, particularly for improving data interoperability and patient management systems. This study evaluated four distinct GPT-4-based approaches for mapping local medical terminologi...
Assessing the Potential of an LLM-Powered System for Enhancing FHIR Resource Validation.
Studies in health technology and informatics
May 15, 2025
Large Language Models (LLMs) have gained significant popularity among healthcare professionals as tools for AI-driven interactions. These models can analyze large volumes of clinical data, including patient narratives, to assist in efficient decision...
Fake It till You Predict It: Data Augmentation Strategies to Detect Initiation and Termination of Oncology Treatment.
Studies in health technology and informatics
May 15, 2025
At the hospital, the dispersion of information regarding anti-cancer treatment makes it difficult to extract. We proposed a solution capable of identifying dates, drugs and their temporal relationship within free-text oncology reports with very few m...
Transforming Data from a Commercial Hospital Information System into FHIR.
Studies in health technology and informatics
May 15, 2025
The expanded use of hospital information systems in recent decades offers possibilities to use data collected in the clinical routine not only for individual patient care, but also for medical research. For this purpose, it is important use standardi...
Using Machine Learning for the Fusion of Tumor Records on a Real-World Dataset.
Studies in health technology and informatics
May 15, 2025
Cancer registries collect multiple reports describing the same tumor, potentially leading to duplicate or conflicting values across different records. This complicates further use of cancer data. Data fusion addresses this issue by consolidating mult...
Conversion of Nursing Statements into the OMOP Common Data Model.
Studies in health technology and informatics
May 15, 2025
The aim of this study is to convert nursing statements into the OMOP CDM for use in observational studies. We mapped nursing statements to SNOMED CT concepts and converted them into the OMOP CDM format through an ETL process. As a result, approximate...
FLANDERS: Fast Learning COVID-19 Care System.
Studies in health technology and informatics
May 15, 2025
The COVID-19 pandemic highlighted the complexities of diagnosing and managing acute Respiratory Failure (RF). Early prediction of RF remains a key challenge, with no established tools currently available. This study developed a machine learning model...
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