Igor Bossenko

HTTK toob kokku juhtivad psüühika, keha, sotsiaalse konteksti ja ruumilise konteksti uurijad, et luua distsipliinide ülene arusaam komplekssüsteemidest, mis mõjutavad heaolu: elu kvaliteeti erinevates valdkondades objektiivses ja eriti subjektiivses mõttes. Me käsitleme 4 uurimisvaldkonda. 1) KORRELAADID: Millised bio-psühholoogilised ja sotsiaal-ruumilised omadused on seotud heaolu püsivamate komponentidega nagu eluga rahulolu? 2) MEHHANISMID: Kuidas rulluvad inimestes lahti heaolu dünaamilised komponendid, näiteks emotsioonid? 3) ENESEHOOL: Kuidas inimesed ise oma heaolu enesehoole ökosüsteemides mõistavad ja juhivad? 4) SEKKUMISED: Kuidas heaolu isikustatud ja kohandatud sekkumistega edendada? HTTK rahastab interdistsiplinaarseid ametikohti; registriandmetega lõimitud longituud-uuring; doktorikooli; tippsündmusi; ja rändluse ja koostöö toetusmeedet. HTTK tõstab osalevate rühmade, asutuste ja Eesti heaoluteaduste tulemuslikkust ja mõjukust.

This multidisciplinary study aims to decrease cardiovascular mortality in Estonia by increasing treatment adherence and empowering patients to create a supportive self-management environment for monitoring their health and actively participating in the treatment process. Analysing 1) the LDL-cholesterol values of North Estonia Medical Centre (NEMC) patients to find underdiagnosed and undertreated patients and 2) treatment adherence to lipid-lowering drugs (LLD). Identifying patient groups who need additional support. During the pilot project, a novel application will be developed, together with personal support, used to increase LLD adherence. The novelty of the tool – combining the data used in Estonia from the Nationwide Health Information System, ePrescription, and NEMC electronic medical record with the data collected by the patient and enabling two-way communication between the patient and medical staff. In the last stage of the study, an impact assessment of the tool is planned.

The aim of the Project “Development of universal data model and continuity of care processes based on international standards for new generation health information systems” is to find appropriate model for digital health care data that could be used for data collection and storage in new generation TIS with the feasibility to implement the same model in other large scale Electronic Health Records (EHR). This data model will be foundation for health care professionals to use digital decision support systems in context of Electronic Medical Record. The definition of data model would lead to the development of EHR processes where minimal set of health status summaries are defined for each specialty/health issue to make evidence-based decision possible. In turn, defined health status summaries are needed for development of continuity of care processes and training of artificial intelligence and development of intuitive Electronic Medical Records.