Development of Artificial Intelligence to analyse patient stories in the Context of Person-Centred Nursing Quality

The principle of person-centredness has become a fundamental principle of high-quality healthcare. One method of assessing the quality of nursing care in terms of person-centredness is through the use of "Person-centred Key Performance Indicators (PCN-KPIs)" within an associated measurement framework. The data is collected within the iMPACT-App. Patient stories constitute a central data source, elucidating patients' experiences. In the current version of the app, the data is automatically transcribed; however, the nurses are responsible for categorising and mapping the data to the KPIs. This process is perceived as time-consuming and could be automated through the use of artificial intelligence (AI). It is essential to consider the potential challenges of AI in healthcare, such as the possibility of bias.

The objective of this research is to enhance the usability of the iMPACT app by developing and implementing AI to analyse patients' stories. With the aims 1) to provide a high-quality data set for AI development, 2) to enhance the usability of the AI by involving users during development and pretesting and 3) to minimise potential bias through specifications.
This project is being undertaken as part of a doctoral thesis at the University of Vienna.