Factors of adoption of artificial intelligence and internet of medical things amongst healthcare workers: a descriptive analysis
Keywords:Artificial Intelligence (AI), Internet of Medical Things (IoMT), Workforce, healthcare ecosystem, Chellengs
- Purpose: The technologies like Artificial Intelligence (AI) and the Internet of Medical things (IoMT) have revolutionized the healthcare system. The Covid-19 pandemic has been a major force behind this revolutionary technology usage. The study finds the challenges in the adoption of this new knowledge i.e. in the adoption of AI and IOMT by healthcare workers.
- Design/methodology/approach: The research is conducted from July 2020 to April 2021, taking a sample of three hundred healthcare workers (doctors and medical staff). The use of self-designed questionnaires has been done. Exploratory factor analysis is used to determine the challenges in the adoption of AI and IoMT by healthcare workers.
- Findings: Different challenges have been found on doctors’ and staff’s front individually for AI and IoMT
- Originality: The study is the first of its kind as such challenges in adoption of innovation has not been studied yet in the adoption of AI and IoMT in healthcare.
- Research limitations/implications: The research came up with challenges that were not studied earlier in healthcare systems. These barriers in technology adoption can be studied and worked upon.
- Practical implications: The word ‘Indian Healthcare ecosystem’ plays a vital role for doctors and patients in health care. Knowing the challenges in Artificial intelligence and the Internet of Medical Things (IOMT) by\ healthcare workers, these challenges can be worked upon and better medical services can be provided.
- Social implications: Healthcare workers are the most important part of our society. Better equipped and technologically aware healthcare worker is an asset to society especially during a tough time like Covid-19.
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