Abstract
This project aims to create a real-time health advice platform andtelemedicine system that can reach healthcare providers and healthcare deprived people. A pragmatic approach is being used to understand the research problem of this study, which allows all the authors to recognise diverse concepts and clarifications, as well as understanding the research problem and quality. The initial primary research has consisted of three sections: planning, configuration, and reporting. We have identified the users and modelled our system based on their geographical location, age groups, literacy, and diseases. We also identified that some of the continents are far behind in health information technology research, where 37% of work is carried out in the USA, 24% in Europe, 15% in Asia, 3% in Africa, and 15 % in the rest of the world. We have further tracked out that most of the low and middle income countries’ populations have less technological knowledge, where 60–70% are uneducated, 20–30% are educated, and only 10% have higher education and experience. We have considered these data sets and developed a sample web, IOS and Android-based telemedicine platform that includes various functionalities including video and instant messaging, and social and educational posts for all types of users, e.g., doctors, nurses, and patients.
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Notes
- 1.
Precision medicine is a specialised approach to the individual patient care, which allows clinicians to tailor and select a most likely treatment to help patients based on their genetic understanding and disease. It is also called personalised medicine.
- 2.
Implementation science is the study methods of the LHS to recommend the implementation and integration of evidence-based practices, involvements, and strategies into routine healthcare and public health settings.
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Acknowledgements
Partial funding to initiate some of the research has been received from the Future & Emerging Technologies Theme at the University of Portsmouth and the Global Challenges Research Fund (GCRF). Time Research & Innovation is the other commercial funding source for this study.
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Siddiqui, S. et al. (2022). A Next-Generation Telemedicine and Health Advice System. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 236. Springer, Singapore. https://doi.org/10.1007/978-981-16-2380-6_87
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