AI Medical Compendium Journal:
Studies in health technology and informatics

Showing 71 to 80 of 1224 articles

Conversion of Nursing Statements into the OMOP Common Data Model.

Studies in health technology and informatics
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...

Clustering Voice of the Customer Insights: Identifying Key Needs for AI-Based Early Warning System.

Studies in health technology and informatics
In this study, we analyzed voice of customer (VOC) data for an AI-based early warning system from healthcare providers using the BERTopic framework for effective topic modeling. A preprocessing pipeline was implemented, incorporating techniques such ...

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...

A Semi-Automated Approach Based on Network Analysis to Suggest New Collaborations and Foster Multisite Clinical Trials.

Studies in health technology and informatics
Several research institutions nowadays collaboratively conduct many scientific projects. Within a national Italian initiative on robotic rehabilitation, this study aims to develop new collaborations that can support the project's missions. Bibliograp...

Formative Usability Testing of Artificial Intelligence in Pathology: The Challenge of Assessing Acceptability.

Studies in health technology and informatics
Digital Pathology has provided a platform to use Artificial Intelligence (AI) to assist pathologists with diagnosis and reporting. An AI tool is being developed that analyzes digital Hematoxylin and Eosin (stained tissue) images associated with a ski...

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...

Co-Designing a "win-win" in Predictive AI: First Results from Interviews and Focus Groups with Persons with Parkinson's Disease.

Studies in health technology and informatics
This study explored the perspectives of people with Parkinson's disease (PwP) involved in the co-design of AI tools for PD care. The aim was to understand PwP perspectives on AI tools and identify factors influencing their engagement. A qualitative t...

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...

Hidden in Plain Sight: The Harmful Side of AI-Based Mental Health Interventions.

Studies in health technology and informatics
Advances in Artificial Intelligence (AI) and other technologies together with increasing economic and care pressures have popularized the use and development of digital health solutions and interventions, in particular in mental health. Associated wi...