AIMC Topic: Electronic Health Records

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Extracting Pediatric Information from Summaries of Product Characterics with a Large Language Model and No-Code.

Studies in health technology and informatics
Accurate medication information is important for children, as dosing errors can have severe consequences compared to adults. We propose an automated method to extract pediatric information from Summaries of Product Characteristics (SPC). We used AirO...

Medication Recommender System for ICU Patients Using Autoencoders.

Studies in health technology and informatics
Patients admitted to the intensive care unit (ICU) are often treated with multiple high-risk medications. Over- and underprescribing of indicated medications, and inappropriate choice of medications frequently occur in the ICU. This risk has to be mi...

Towards Semantic Interoperability Health Standardization Recommendation Tool.

Studies in health technology and informatics
The European Rolling Plan for ICT Standardization outlines activities that connect EU policies to standardization efforts in different technological domains. Artificial Intelligence (AI), security, and cybersecurity are at the top of the agenda of th...

Virtual Enumerator's Training for Time and Motion Studies Using AI Scenarios.

Studies in health technology and informatics
This paper presents the implementation of a virtual training program for enumerators conducting Time and Motion Studies using the WOMBAT methodology, as part of a project assessing healthcare workflows before the adoption of an Electronic Health Reco...

Automating Data Extraction from PDF Sleep Reports Using Data Mining Techniques.

Studies in health technology and informatics
This work introduces a web application for extracting, processing, and visualizing data from sleep studies reports. Using Optical Character Recognition (OCR) and Natural Language Processing (NLP), the pipeline extracts over 75 key data points from fo...

Building the Infrastructure for the German Medical Text Corpus Project (GeMTeX).

Studies in health technology and informatics
The German Medical Text Project (GeMTeX) is one of the largest infrastructure efforts for German-language clinical documents. To determine the different starting points of the participating institutions, we conducted a survey regarding standards, ann...

Detecting Adverse Drug Events in Clinical Notes Using Large Language Models.

Studies in health technology and informatics
Monitoring adverse drug events (ADEs) is critical for pharmacovigilance and patient safety. However, identifying ADEs remains challenging, as suspected or confirmed side effects are often documented solely in the unstructured text of electronic healt...

Delirium Identification from Nursing Reports Using Large Language Models.

Studies in health technology and informatics
This study investigates large language models for delirium detection from nursing reports, comparing keyword matching, prompting, and finetuning. Using a manually labelled dataset from the University Hospital Freiburg, Germany, we tested Llama3 and P...

Exploring the Potential of GPT-4 in Creating Billing Codes from Clinic Notes.

Studies in health technology and informatics
Creating standardized billing codes from clinic notes is challenging due to the complexity of over 22,000 codes and the unstructured nature of medical records. This paper investigates how well GPT-4, can automate CPT/HCPCS codes generation. To assess...

Evaluating LLMs' Potential to Identify Rare Patient Identifiers in Patient Health Records.

Studies in health technology and informatics
This study explores the utility of Large Language Models (LLMs) to support finding rare patient record details that could make a patient identifiable. Whilst most research has focused on what we call direct patient identifiers, indirect patient ident...