Data-Driven Long Term Healthcare : Current Practice And Caregiver Needs

Samenvatting

Data-driven healthcare seems promising for enhancing care quality and personalization. However, actual data use among caregivers outside clinical settings is not yet common practice. This study examines how data-driven healthcare in long-term care settings can be enabled and explores how caregivers can use data in daily care practice. Results aligned with NASSS-framework themes, demonstrating its utility in practice-oriented research for describing current practices and implementation factors. Our CanMeds-based discussion tool (‘Mix&Match’-based) facilitated caregivers' connection of theoretical description of data-driven care to daily work practice. Staff and expert input in the conversation enabled bottom-up and top-down reflection. Such multi-perspective discussions are indispensable in fostering data-driven care in long-term settings.