Indicator and Modelling Opportunities for Data-Driven Decision-Making

Monitoring the end-user experiences of electronic health records (EHR) and client information systems (CIS) in Finland enables data driven decision-making. This study focuses on a single individual-level indicator and identifies a predictive model that can help apply these modeling results in practice. The findings suggest that themes related to this indicator - specifically, the good grade given to the primary system's (EHR/CIS) - are related to the functionality, usability, and support for nursing documentation within the primary system. Moreover, the information systems (IS) landscape, it's potential to support carrying out duties and exchanging information, and benefits of IS, were crucial. IS benefits are usually linked to factors such as continuity of care, avoid duplicate tests, and medication safety. Improving all these themes could improve circumstances where end-users could achieve better performance in the care of the patients.