Ekaterina Uetova

Title:  Computerized support for the Patient-Generated Health Data lifecycle

Supervision Team: Dympna O’Sullivan, TU Dublin / Lucy Hederman, TCD / Damon Berry, TU Dublin

Description: Patient-generated health data (PGHD) is increasing in importance with more patients self-managing their conditions. Integrated PGHD, including enhanced computational support for acquisition, analytics and actions, can provide a holistic view and facilitate shared decision-making. There are numerous challenges – PGHD is large in volume and variety, originating from medical devices, sensors and apps. Multiple standards lead to semantic and syntactic incompatibilities. Sociotechnical factors – adherence to self-management regimes, adoption of technology and perceived trustworthiness of PGHD are important considerations. This research will design, develop and evaluate a digital platform for the PGHD lifecycle and focus on the following challenges;

– Understanding the requirements of patients and clinicians for self-management;

– Developing computerized support to capture and represent PGHD;

– Developing methods for analysis of PGHD that can support clinicians from a remote management perspective while also supporting patients with self-management;

– Evaluating the platform with patients and clinicians from HSE living labs