Proposal for m-health modular architecture tailored for public safety officers

This article proposes a modular platform for m-health devices for police officers and firefighters, considering a sample of professionals from southern Brazil. The methodological approach considers the heterogeneity of potential users' needs by using the stated preference technique to estimate conditional multinomial logit (C-MNL) and latent class logit (LCL) models. The results show that the features for monitoring stress and vital signs were the most significant, meeting the illnesses most reported by police officers and firefighters (mental illnesses and illnesses of the circulatory system). The proposed framework, based on the novel use of the stated preference technique with two models (C-MNL and LCL), paves the way for further analysis of Internet of Things (IoT) device configurations. The results provide substantial detail on implementing m-health devices for public safety agents, consider user requirements and propose a modular architecture based on an unprecedented product development strategy.