Haller, Toomas, juhendajaNurm, Miriam, juhendajaDyn’ko, UscinniaTartu Ülikool. Loodus- ja täppisteaduste valdkondTartu Ülikool. Tehnoloogiainstituut2024-06-172024-06-172024https://hdl.handle.net/10062/99667Doctors must analyse the extensive amount of medical data before diagnosing a patient and prescribing treatment. This is especially complicated for patients with multiple chronic conditions, who can be treated by different specialists. The advent of electronic health records granted doctors the opportunity to have all the available information at hand – on the computers at their workstations. However, the challenge of representing these data in an easy-to understand way remained. The Medi_Vizz application allows doctors to visualise individual patients' diagnoses and laboratory analysis data. Medi_Vizz has a user-friendly interface and creates comprehensible plots with medical data. Doctors can utilise these plots in clinical decision support, while scientists can examine disease progression in individual patients, making Medi_Vizz a valuable tool for both general healthcare and scientific research.enAttribution-NonCommercial-NoDerivs 3.0 EstoniaElectronic health records (EHRs)MultimorbidityDisease trajectoryMedical data visualisationMedical informaticsbakalaureusetöödThesis