Health organizations aim to identify patients with high fall risk in the different attention scenarios in order to provide safety and quality care. In order to address this issue, we designed an assessment tool that surveys fall risk through three questions in self-service terminals in the outpatient setting. Our objectives in this article are to describe the implementation process. A cross sectional design was used for the pilot (between October and November 2018). The issued tickets rate with high fall risk (defined as 2/3 positive responses) was 34.3%. Some adjustments needed to be done because some patients did not have true risk criteria due to self-report. We conclude that this tool will allow quicker identification of patients with true high risk. Effective prevention strategies will be necessary to improve safety after risk fall identification.
Keywords: Information systems; Risk assessment; Self-management.