Adoption of Internet of Medical Things: A Systems Thinking Approach

As an emerging information technology, the Internet of Medical Things (IoMT) has the capability to contribute toward sustainable healthcare, but its adoption in emerging economies is challenging. This research was undertaken to conduct a holistic analysis of the complexities associated with the adoption of IoMT in emerging economies like India using a systems thinking approach. Three qualitative phases of the systems thinking and modeling methodology, namely, problem structuring, causal loop modeling, and developing strategic interventions, were used in this study by collecting data from 24 interviews and secondary research. The reference mode developed in the study captured the system behavior, showing IoMT adoption increasing in tier I Indian cities but struggling in tier II/III cities and rural Indian communities. The qualitative systems model developed explained this behavior by capturing the underlying system structure using six interconnected feedback loops. Three strategic interventions were then formulated to change the system structure that can improve the adoption of IoMT in an emerging economy like India, thereby contributing to the journey toward sustainable healthcare. Implications for similar emerging economies in Latin America are also discussed in this article. Overall, this study provides a holistic analysis of the complexities involved in the adoption of IoMT using a systems thinking approach.