The first international congress of artificial intelligence in medical sciences , 2023-05-17

Title : ( Advance Technologies for Smart Patient Tracking Systems )

Authors: , Moslem Taheri Soodejani , Seyyed Mohammad Tabatabaei ,

Citation: BibTeX | EndNote

Abstract

Introduction: According to the advances of AI, the way of life has been changed and alongsidethat, service delivery in different areas has changed a lot. Healthcare domain is not an exceptionand is affected by AI in many aspects including prognosis, diagnosis, management, cure and etc.Actually, there are many challenges in this area which is handled or can be handled by AI. Oneof them is the monitoring, management and tracking of patients in the hospital. A patient trackingsystem is a system that is put in place to monitor patient movements throughout their time in thehospital. Over the years, clinicians have used many different ways to track their patients, includingpen and paper, spreadsheets, and now with the use of Radio Frequency Identification (RFID)technology and the Internet of Things (IoT). This study aims to review articles about smart patienttracking systems.Materials & Methods: The articles published between 2012 and 2022 were studied in this review.To access related scientific documentation, electronic search was conducted on the Scopus, PubMed,ScienceDirect, InterScience, ProQuest and Google Scholar databases. At first, 190 articleswere found and 35 papers were considered to cover the objectives of this study and 20 of themwere selected after reading their full texts. The criteria for entering the reviewed articles includeits relation to registry, publishing between 2012-2022, publication in English, and the availabilityof the full text of the articles. In addition, those papers which were not written in English,presented at conferences, had only their abstracts available and published only on websites wereexcluded. In order to evaluate the quality of the collected articles, the researchers reviewed thearticles in terms of title, abstract, introduction, method, results, discussion, and also referenceswhere needed.Results: Most commonly, (RFID) tags and IoT technology are used by means of providing apatient tracking system in a smart hospital environment. Patient must wear the RFID tags so theycan be monitored by healthcare providers so can track the real-time status and their locations inaddition to accessing a digital directory of their health records. These tags are often provided inhospital bracelets or worn around the neck on a lanyard or even implanted. Also, hospital equipmentcould be enhanced with IOT to help authorized users keep tracking the place and status ofany patient.Conclusion: Patient tracking may reduce workflow errors and improve communications betweenstaffs and it can help to understand and evaluate how processes actually work and where an unplannedissue occurs. Patient tracking capabilities can also extend beyond hospital to the hands ofloved ones in order to alert them when an emergency such as a fall or even missed appointmenthappens. A smart Patient tracking system can help to locate patients, driving patient safety, bettertracking of the treatment process, enhancing internal schedules, reduced wait time for patients,increased patient and visitor satisfaction, predict patient flow and admission rates, alert hospitalstaff of emergency situations, efficient bed management, improved decision-making and optimized cleaning.

Keywords

, Artificial Intelligence , Patient Tracking System , Smart Health , Smart Hospital
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@inproceedings{paperid:1099244,
author = {, and مسلم طاهری سودجانی and سید محمد طباطبائی},
title = {Advance Technologies for Smart Patient Tracking Systems},
booktitle = {The first international congress of artificial intelligence in medical sciences},
year = {2023},
location = {کیش, IRAN},
keywords = {Artificial Intelligence ، Patient Tracking System ، Smart Health ، Smart Hospital},
}

[Download]

%0 Conference Proceedings
%T Advance Technologies for Smart Patient Tracking Systems
%A ,
%A مسلم طاهری سودجانی
%A سید محمد طباطبائی
%J The first international congress of artificial intelligence in medical sciences
%D 2023

[Download]