How AI reinforces the status of the patient

Can AI be a tool to improve healthcare in the meeting of people? An exciting collaboration project at BTH is deepening the analysis and knowledge of abuse in healthcare, as basis for development.

“We use healthcare data, with the help of self-learning clustering algorithms, to detect patterns and deepen knowledge so that abuse can be corrected”, says Martin Boldt who conducts research in artificial intelligence. Initially, the data source in the project is reports made to the Patient Advisory Committee in Blekinge, where patients, friends and family can turn. In the future, the method could be extended to a national analysis of all reports in Sweden.

Lisa Skär is a researcher in nursing, and she contacted Martin Boldt to discuss how all this information could be structured and analysed. It resulted in a unique study.
“The content of the reports are subjective descriptions of experiences and largely unstructured. They often concern how they have been approached, a feeling of not being believed or understood, or of being victimised or accused”, says Lisa Skär.

Blekinge views itself as a test pilot and hopes to be given the opportunity to use the technology in other regions, and for national and international authorities.
“Good patient contact in healthcare is equivalent to good quality. There is significant societal benefit in listening to patients and improving based on their experiences”, says Lisa Skär.