Healthcare Assessment Questions Non-invasive Ambient Sensors

In Ambient Assisted Living, care assessment instruments help to guarantee the quality of home-care treatments. Different standards and respective questionnaires are available. Because mostly the questions are individually filled out by the patients or their caregivers, this process is fault-sensitive. In this research, we propose an as automated as possible answering of most of the questions using cost-efficient non-invasive, ambient sensors. We define an approach to filter out and argue which questions of the Minimum Data Set for Home-Care (MDS-HC) of the comprehensive Resident Assessment Instrument for Home-Care (RAI-HC) can be automatically answered by such sensors. Therefore, we identify and definitely exclude the questions which cannot be answered by such sensors. Then, we map the remaining questions to possible sensors whose technology allows to answers these questions. The majority of these questions mapped to sensors can be found in published research literature. However, 22 percent of the questions are unacknowledged.