IoT Based Hybrid System for Patient Monitoring and Medication

Authors

DOI:

https://doi.org/10.4108/eai.13-7-2018.162805

Keywords:

Remote Drug Delivery, Vital Sign Transmission, WBAN, Computer Controlled Drug Delivery

Abstract

BACKGROUND: In recent years, a lot of research work has been done to transmit vital parameters of the patient using IOT (Internet of Things). The information related to Patient is sent by means of WBAN (Wireless Body Area Network) and sensors to the healthcare database. This has been shown a great potential to transmit vital parameter of the patient at a remote location. Remote monitoring of patient(s), including vital signs, sound and video is to be transmitted, particularly when a patient is in transit. By transmitting the imperative parameters of the patient to a specialist diminishes, the ideal opportunity for starting treatment and permits the emergency crew to be better prepared. This will facilitate a doctor to make a diagnostic conclusion.

OBJECTIVES: This study aims to develop an advance system to transmit the vital parameters of the patient to the smart phone of the doctor at a remote location. After seeing essential parameters of the patient, the specialist can convey/endorse the medication from the remote area.

METHODS: To monitor patient’s data in real-time an android application is developed which helps the medical staff to monitor the patient from remote location. All the patient related information is stored in Real Time Clinical Database.

RESULTS: The proposed model will allow the doctors to monitor physiological parameters (HR, NIBP, Temp, ECG, SPO2) of the patient, as well as endorse medication from the remote location. This system will be helpful to provide virtual presence of the doctor inside the ambulance and to provide lifesaving drugs to the patient while the patient is in transit.

CONCLUSION: The present invention provides a fully integrated system for the doctor to view the vital signs of the patient from the remote location in real-time.

Downloads

Download data is not yet available.

Downloads

Published

23-08-2019

How to Cite

1.
Kumar N, Narayan Panda S, Pradhan P, Kumar Kaushal R. IoT Based Hybrid System for Patient Monitoring and Medication. EAI Endorsed Trans Perv Health Tech [Internet]. 2019 Aug. 23 [cited 2024 Nov. 23];5(19):e1. Available from: https://publications.eai.eu/index.php/phat/article/view/1259