TITLE:
Stand-Alone Patient Reception and Referral System with Health Data Management
AUTHORS:
Ababacar Sadikh Faye, Ousmane Sow, Mame Andallah Diop, Jupiter Ndiaye, Youssou Traore, Oumar Diallo
KEYWORDS:
Public Health, Health Data, Wireless Network, Security, Artificial Intelligence, Instrumentation, Mechatronics
JOURNAL NAME:
Engineering,
Vol.15 No.10,
October
24,
2023
ABSTRACT: The COVID-19 pandemic has exposed vulnerabilities within our healthcare
structures. Healthcare facilities are often faced with staff shortages and work
overloads, which can have an impact on the collection of health data and
constants essential for early diagnosis. In order to minimize the risk of error
and optimize data collection, we have developed a robot incorporating
artificial intelligence. This robot has been designed to automate and collect
health data and constants in a contactless way, while at the same time
verifying the conditions for correct measurements, such as the absence of hats
and shoes. Furthermore, this health information needs to be transmitted to
services for processing. Thus, this article addresses the aspect of reception
and collection of health data and constants
through various modules: for taking height, temperature and weight, as
well as the module for entering patient identification data. The article also
deals with orientation, presenting a module for selecting the patient’s
destination department. This data is then routed via a wireless network and an
application integrated into the doctors’ tablets. This application will enable efficient queue management by classifying patients
according to their order of arrival. The system’s infrastructure is easily
deployable, taking advantage of the healthcare facility’s local wireless
network, and includes encryption mechanisms to reinforce the security of data
circulating over the network. In short, this innovative system will offer an
autonomous, contactless method for collecting vital constants such as size,
mass, and temperature. What’s more, it will facilitate the flow of data,
including identification information, across a network, simplifying the
implementation of this solution within healthcare facilities.