The Alternative Selection for Internet of Things (IoT) Implementation in Medical Rehabilitation

Abstract

Medical rehabilitation services face problems in terms of limited duration and intensity
of therapy. The implementation of the Internet of Things (IoT) in medical rehabilitation
helps doctors and nurses to provide accurate care and faster recovery which could
improve the service quality. This study aims to choose the best alternative IoT that can be
implemented in medical rehabilitation units in hospitals by taking into account the factors
of IoT implementation and hospital financial capability. The alternative options for
implementation of IoT: Motion Gaming Rehabilitation, Virtual reality-based
rehabilitation, Robot Therapy, Brain Computer Interfaces. The opinions of experts were
used to identify and select factors and sub-factors that support the process of applying
IoT in medical rehabilitation in hospitals. The Best Worst Method (BWM) method is used
to obtain priority weighting from the criteria and sub-criteria for applying IoT. The
Additive Ratio Assessment (ARAS) method is used to obtain the utility level of each
alternative IoT. The Zero One Goal Programming method is used to decide whether the
implementation of IoT is chosen based on limitations such as the ARAS utility level of
each alternative, procurement and installation costs, training costs, and maintenance
costs. The final result, virtual reality-based rehabilitation is chosen based on the factors
of IoT implementation and the hospital financial capability.