Research Article
eHealthCare - A Medication Monitoring Approach for the Elderly People
@INPROCEEDINGS{10.1007/978-3-031-06368-8_15, author={Ant\^{o}nio Pinto and Ana Correia and Rui Alves and Paulo Matos and Jo\"{a}o Ascens\"{a}o and Diogo Camelo}, title={eHealthCare - A Medication Monitoring Approach for the Elderly People}, proceedings={Wireless Mobile Communication and Healthcare. 10th EAI International Conference, MobiHealth 2021, Virtual Event, November 13--14, 2021, Proceedings}, proceedings_a={MOBIHEALTH}, year={2022}, month={6}, keywords={Medication Elderly Non-adherence Sensors network}, doi={10.1007/978-3-031-06368-8_15} }- António Pinto
Ana Correia
Rui Alves
Paulo Matos
João Ascensão
Diogo Camelo
Year: 2022
eHealthCare - A Medication Monitoring Approach for the Elderly People
MOBIHEALTH
Springer
DOI: 10.1007/978-3-031-06368-8_15
Abstract
For the regularly medicated population, the management of the posology is of utmost importance. With increasing average life expectancy, people tend to become older and more likely to have chronic medical disorders, consequently taking more medicines. This is predominant in the older population, but it’s not exclusive to this generation. It’s a common problem for all those suffering from chronic diseases, regardless of age group. Performing a correct management of the medicines stock, as well as, taking them at the ideal time, is not always easy and, in some cases, the diversity of medicines needed to treat a particular medical disorder is a proof of that. Knowing what to take, how much to take, and ensuring compliance with the medication intervals, for each medication in use, becomes a serious problem for those who experience this reality. The situation is aggravated when the posology admits variable amounts, intervals, and combinations depending on the patient’s health condition. This paper presents a solution that optimizes the management of medication of users who use the services of institutions that provide health care to the elderly (e.g., day care centers or nursing homes). Making use of the NB-IoT network, artificial intelligence algorithms, a set of sensors and an Arduino MKR NB 1500, this solution, in addition to the functionalities already described, eHealthCare also has mechanisms that allow identifying the non-adherence to medication by the elderly.
