AIMC Topic: Electronic Health Records

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How Useful Is Synthetic Data in Developing Predictive Models for Health?

Studies in health technology and informatics
Synthetic data, generated using generative AI techniques, closely mimics the characteristics of real data while enhancing privacy for sensitive health data. This study evaluates synthetic tabular data based on fidelity and utility for predictive mode...

Towards the Common Data Model for an Intensive Medicine Data Space in Europe.

Studies in health technology and informatics
This work aims to identify the Key Research Areas for building and deploying the semantic interoperability framework for the Intensive Medicine Data Space in Europe. A set of European experts defined four research areas and associated challenges: i) ...

Open-Source Synthetic Data Generation of Clinical Routine Data.

Studies in health technology and informatics
Clinical routine data is a valuable resource for research and analysis in hospitals. Even though regulations allow access within a clinical system, decentralized research with up-to-date data remains a problem limited by privacy concerns. Synthetic d...

Participatory Co-Creation of an AI-Supported Patient Information System: A Multi-Method Qualitative Study.

Studies in health technology and informatics
In radiology and other medical fields, informed consent often rely on paper-based forms, which can overwhelm patients with complex terminology. These forms are also resource-intensive. The KIPA project addresses these challenges by developing an AI-a...

Assessing Healthcare Stakeholder Understanding of Machine Learning Documentation.

Studies in health technology and informatics
Artificial Intelligence (AI) has significantly advanced clinical decision support systems in healthcare, particularly using Machine Learning (ML) models. However, the technical nature of current ML model documentation often leads to lack of comprehen...

Barriers and Facilitators for Federated Health Data Networks: Lessons Learned from a Nordic-Baltic Experience.

Studies in health technology and informatics
The era of artificial intelligence (AI) and big data presents significant opportunities for implementing federated health data networks across national borders. However, these opportunities are accompanied by substantial challenges. This study docume...

Leveraging Data Pipeline and LLM to Advance Patient Safety Event Studies.

Studies in health technology and informatics
Research utilizing the open-access MAUDE database frequently reveals unclear methodologies for extracting and processing medical device report (MDR) data, reducing reproducibility and consistency. By harnessing the OpenFDA API and our MAUDE extract-t...

An Integrated AI Cloud Sharing Framework for Predictive AI and Generative AI in Healthcare.

Studies in health technology and informatics
In 2019, Chi Mei Hospital built a private cloud AI service framework, incorporating HIS interface web service, data retrieval web service, and AI web service. Numerous Predictive AI (PAI) applications were deployed successfully. By 2023, the hospital...

Subgroup Discovery to Identify Determinants of Influence on CDSS Medication Alert Handling: A Feasibility Study.

Studies in health technology and informatics
Clinical decision support systems (CDSSs) are designed to enhance patient safety by providing alerts to prescribers about potential medication issues. However, a significant proportion of these alerts are ignored, which can compromise patient safety....

On the Harmonisation of Time Series Data for the Optimisation of Machine Learning Using the Example of Rejection Prediction After Kidney Transplantation.

Studies in health technology and informatics
A significant risk following a kidney transplantation is graft loss. The Screen Reject Project has developed a Clinical Data Warehouse (CDWH) as a foundation for a clinical decision support system designed to improve the diagnosis of graft rejections...