As data-driven health technologies such as mobile health apps, wearable devices, and
smart medical devices advance and become more pervasive, the datafication of personal …

Due to the development of sensing technology people can easily track their health in various
ways, and the interest in personal healthcare data is increasing. Individuals are interested in …

Large Language Models (LLMs) offer promising opportunities in mental health domains,
although their inherent complexity and low controllability elicit concern regarding their …

Heterogeneity is a problem in storing and exchanging data in a digital health information
system (HIS) following semantic and structural integrity. The existing literature shows …

Computer-Supported Cooperative Work (CSCW) and Human--Computer Interaction (HCI)
research is increasingly investigating the roles of caregivers as ancillary stakeholders in …

Abstract Human-Computer Interaction (HCI) researchers have been increasingly interested
in investigating self-trackers' experience with self-tracking tools (STT) to get meaningful …

Patient-generated health data (PGHD) is crucial for healthcare providers' decision making,
as it complements clinical data by providing a more holistic view of patients' daily conditions …

Background Many people are motivated to self-track their health and optimize their well-
being through mobile health apps and wearable devices. The diversity and complexity of …

Medical practices have always been data oriented: healthcare providers decisions are
based on data, both clinically generated and patient reported. With the increased use of …

Clinical decision support tools have typically focused on one-time support for diagnosis or
prognosis, but have the ability to support providers in longitudinal planning of patient care …