The study of Internet of Things (IoT)-based healthcare acceptance in Pakistan

The Future technology Internet of Things (IoT) has immense prospects to improve future health care and its related issues to delivery, management, and development. IoT is a network founded on the use of sensors, actuators, beams, RFID devices and software in things that can transform the future healthcare into pervasive healthcare. IoT-based healthcare can improve the delivery of healthcare services efficiently and innovatively by growing huge volume of patients' data (big data) that can invoke proactive, predictive decisions and insights in future healthcare of Pakistan. The health sector in Pakistan is confronting a number of challenges, including rising steeply costs; amplified aged population; chronic disease due to contemporary lifestyle; a growing incidence of medical errors, inadequate technical staffing, and lack of coverage and medical professionals in rural and underserved areas. The research paper intends to contribute to the community, medical professionals (doctors, support staff, health administrator) and end-users of proposed system with the development of ubiquitous healthcare framework specifically in rural and underserved areas of Pakistan. The purpose of this paper is to evaluate the acceptance and use of IoT in the healthcare system by medical professionals, clinicians and patients in Pakistan in the precision of the Unified Theory of Acceptance and Use of Technology model (UTAUT), and Health Belief Model (HBM). This paper extends the existing research to study IoT-based healthcare acceptance, HBM will be contextualized with the assimilation of UTAUT model constructs to assess the acceptance study in general health sector of Pakistan. It is also expected that this research study will help in providing solutions to improve prevailing healthcare conditions of rural and underserved areas in Pakistan. In this research study triangulation, which is mix mode of research methodology involves both quantitative and qualitative research, will be used to achieve all the research objectives and test the research hypothesis. This research will be using cluster sampling for data collection.