Abstract
There is a need to improve the working conditions of medical professionals and health care providers in hospitals, especially in developing and under-developed countries. While completely autonomous bots are not preferable in medical field semi-autonomous robots can help people to work more efficient for a longer time. This paper discusses one such mechanism, a semi-autonomous mobile platform which helps in measuring vital health parameters of a patient on a route to the doctor. Measurements of the body’s most basic functions are routinely monitored by health care providers before a doctor’s appointment. This paper discusses how such a health monitoring system can be integrated into a semi-autonomous mobile platform and its features. In this system, different vital signs of the body are measured to generate an initial database of the report, which will save time to carry out tests for all these processes. The mobile platform traverses to all inpatients in order of arrival. The user interface will ask few important medical questions digitally as well as vocally. The information generated is used to assign the patient to a doctor. It will guide the patient and perform all the measurements, collect the data and upload it to the cloud for further analysis. This will reduce the waiting time and treatment can be performed on time, especially for certain emergency case.
Supported by Mahindra Ecole Centrale.
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Acknowledgement
The Mobile Platform was built in collaboration with Indian Institute of Technology, Delhi. We would like to extend our sincere gratitude to Prof. S.K. Saha and his team for their support in building the mobile platform.
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Gade, V.R., Soni, A., Rajaram, B., Seth, D. (2020). Semi-autonomous Collaborative Mobile Platform with Pre-diagnostics for Hospitals. In: Duffy, V. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health. HCII 2020. Lecture Notes in Computer Science(), vol 12198. Springer, Cham. https://doi.org/10.1007/978-3-030-49904-4_30
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DOI: https://doi.org/10.1007/978-3-030-49904-4_30
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