An Interview Robot for Collecting Patient Data in a Hospital
K. Hindriks (TU Delft - Interactive Intelligence)
R.J.L. Boumans (TU Delft - Interactive Intelligence)
Fokke van Meulen (Radboud Universiteit Nijmegen)
M.A. Neerincx (TU Delft - Interactive Intelligence)
Marcel Olde Rikkert (Radboud Universiteit Nijmegen)
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Abstract
We are designing a social robot to collect patient data in hospitals by interviewing patients. This task is crucial for improving and providing value-based care. Currently, professional caretakers administer self-reported outcome questionnaires called patient reported outcome measures (PROMs) to collect this data. By delegating this task to a robot, time spent on administration is significantly reduced. Social robots are finding applications in many domains but are particularly interesting for addressing healthcare related problems [1]. We are researching and developing a social robot as an interview robot for administering PROMs [2]. The Radboud university medical center (Radboudumc) Alzheimer Center [L1] and Delft University of Technology Interactive Intelligence Group [L2] have joined forces, combining their expertise on patient measures and providing value-based aged care with complementary expertise on social interaction between robots with patients. The design of the robot is evaluated in the actual care setting where patients are treated at the Radboudumc.
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