AIMC Topic: Electronic Health Records
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A machine learning approach to create blocking criteria for record linkage.
Health care management science
Apr 29, 2014
Record linkage, a part of data cleaning, is recognized as one of most expensive steps in data warehousing. Most record linkage (RL) systems employ a strategy of using blocking filters to reduce the number of pairs to be matched. A blocking filter con...
A scoping review of digital solutions in diabetes outpatient care: Functionalities and outcomes.
International journal of medical informatics
Oct 1, 2025
BACKGROUND: Digital interventions are increasingly used in outpatient diabetes care to address growing healthcare demands and workforce limitations. This study investigates the functionalities of digital solutions and their impact on Quadruple Aim ou...
Use of Client-Side Machine Learning Models for Privacy-Preserving Healthcare Predictions - A Deployment Case Study.
Studies in health technology and informatics
Sep 3, 2025
INTRODUCTION: Machine learning (ML) and deep learning (DL) models in healthcare traditionally rely on server-centric architectures, where sensitive patient data is transmitted to external servers for processing via frameworks like Flask, raising sign...
GeMTeX's De-Identification in Action: Lessons Learned & Devil's Details.
Studies in health technology and informatics
Sep 3, 2025
INTRODUCTION: In 2024, the GeMTeX project launched the largest ever de-identification campaign for German-language clinical reports, and, as a pilot study, published GraSCCoPHI, the first de-identified German-language gold standard corpus of syntheti...
Retrieval-Augmented Generation for ICD-10 Coding in German Clinical Texts - A Technical Case Report.
Studies in health technology and informatics
Sep 3, 2025
INTRODUCTION: Manual ICD-10 coding of German clinical texts is time-consuming and error-prone. This project aims to develop a semi-automated pipeline for efficient coding of unstructured medical documentation.
From Proprietary Printed Forms to Standardized Digital Exchange Formats - Care Transition Records to FHIR as an Example.
Studies in health technology and informatics
Sep 3, 2025
INTRODUCTION: The transition from proprietary, paper-based care transition records (CTRs) to standardized digital formats like HL7 FHIR remains a significant challenge for healthcare institutions. Variability in document layouts, coupled with slow ad...
Evaluation of Chunking and Embedding Strategies for Local Document Retrieval Using an Open-Source LLM in a Hospital.
Studies in health technology and informatics
Sep 3, 2025
INTRODUCTION: The integration of Retrieval-Augmented Generation (RAG) into domain-specific systems enables context-aware and traceable information retrieval. This study explores chunking and embedding strategies for a RAG-based question-answering sys...
Prompting Is All You Need - Until It Isn't: Exploring the Limits of LLMs for Negation Detection in German Clinical Text.
Studies in health technology and informatics
Sep 3, 2025
INTRODUCTION: Detecting negations in clinical text is crucial for accurate documentation and decision-making.
Corrigendum to Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data.
Studies in health technology and informatics
Sep 3, 2025
This is a corrigendum to our GMDS 2024 article "Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data", published in Studies in Health Technology and Informatics, Volume 317 (IOS Press). The corrigendum impr...
From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reports.
Computers in biology and medicine
Sep 1, 2025
BACKGROUND: Extracting clinical entities from unstructured medical documents is critical for improving clinical decision support and documentation workflows. This study examines the performance of various encoder and decoder models trained for Named ...
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