Automation Factors Influencing the Operation of IoT in Health Institutions: A Decision Support Methodology

Abstract

Health institutions are adopting new technologies for their processes through automation by means of the concept of "Internet of Things" (IoT). Hence, offering innovative tools, applications and technology for the collection of key data and information, which is then integrated and consolidated, covering the different systems and their collaborators. The necessity of receiving quality medical services is essential in the public Policy of any country. The increasing demand for having an adequate number of medical specialists, pharmacies and medications stock, dental and mental health coverage and other, together with the minimization of the waiting list and patient care time have been a crucial concern. Under this context, it is valuable to redesign the processes planning and its coordination through the use of Information & Communications Technology (ICT) and IoT that unifies the systems. Based on previous research, the general purpose is to generate a system model to examine healthcare quality of service and corroborate its effectiveness in a real environment. The aim of this paper focus on the development of a decision support model to define key areas where the inclusion of IoT would sustain the efficiency in health care service. The research methodology is based on case study, integrating planning processes, data analysis, scoring method that interacts with multicriteria approach. A pilot case study is pursued in health institutions in Chile, determining critical factors and the current automation level system appraisal to generate actions of improvement in processes that show poor service quality. The results give rise to the development of an investment plan that can be converted into action plans for a health institution.

ICT – a surviving tool for economy in the phase of social distancing: a systematic literature review

“…In the business sector, social media (Ninan et al. , 2020), Mobile (Park, 2020), Data Networks, Artificial Intelligence and Robotics (Oddershede et al. , 2020) have been considered for the efficient management of businesses during the time of crisis.…”

“…Exploring the health-care sector, the most critical sector during the pandemic, various studies have been undertaken. For example, Oddershede et al. (2020) observed the use of the Internet of things and ICT in healthcare-related services by taking into account critical factors related to doctors, patients and administration.…”

“…Past researchers have investigated the influence of ICT on various fields separately (Bhardwaj, 2018; Golubeva, 2020; Oddershede et al. , 2020) but no one has provided a comprehensive literature review of the same.…”

“…Past researchers have investigated the influence of ICT on various fields separately (Bhardwaj, 2018;Golubeva, 2020;Oddershede et al, 2020) but no one has provided a comprehensive literature review of the same. So, our study is the first attempt to synthesise literature on ICT and its application in various fields.…”

Dynamic Surgical Waiting List Methodology: A Networking Approach

“…Different institutions and different types of professionals participate in these processes (i.e., physicians, nurses, kinesiologists, nutritionists, etc. ), who, as a whole, contribute to the recovery of patients in all care processes, including the support of the internet of things in SWL (see, e.g., Oddershede et al [39]). On the other hand, authors such as Sidhu et al [25] and others have developed qualitative and comparative case studies to address the strategy of networks.…”