Improving Telemonitoring for Chronic Heart Failure Patients: A Data-driven Investigation into improving Equity and AI models for Telemedicine

Alexander Arndt Pasgaard Xylander, M.Sc. in Public Health, holds a background in health data analysis, particularly in epidemiology and health economics. His research, conducted within the Medical Informatics research group at Aalborg University in collaboration with the Region of Northern Denmark, forms the basis of this current thesis.
The research comprises three papers: Paper I uncovers healthcare access disparities for chronic heart failure patients, emphasizing telemedicine's potential. In Paper II, weekly biometric measurements prove promising in distinguishing stable periods from those preluding hospitalization. Paper III develops a predictive model, using interpretable algorithms, forecasting hospitalization risk with a 14-day lead time.

The thesis concludes by stressing the necessity for further breakthroughs before predictive models are clinically adopted. It highlights research directions and underscores telemedicine's positive impact on addressing geographical inequities. Xylander's work reflects dedication to advancing healthcare research and addressing critical challenges in the field.