Search published articles


Showing 3 results for Monitor

Sorayya Rezayi , Ali Asghar Safaei , Nilofar Mohammadzadeh ,
Volume 11, Issue 6 (3-2018)
Abstract

Background and Aim: Nowadays, one of the most important areas of application of information technology in the health sector is monitoring patients' condition. Recently utilization of body area sensor networks in healthcare had significant advances. The purpose of this article is to examine the applications of wireless health sensor networks in the field of health. 
Materials and Methods: This study was a review study which was done by searching in reliable scientific sources such as Pubmed, IEEE, Science Direct, Springer and other Persian information sources like Magiran and Sid. In order to search English sources, keywords such as “Wearable and implantable body sensors” “Body area sensor network”, and in order to search in Persian sources, keywords such as “implantable and wearable network nodes”, were used.
Results: The tasks of the body sensor networks are to monitor the important parameters of the body, which are vital signs of ill health and illness. Additionally, various types of sensor networks can control various illnesses, for example, heart disease, neoplasms, diabetes, kidney disease, Parkinson's disease, infectious diseases, and so on. Also a variety of wireless body sensor networks in the medical field are divided into two main categories: the wearable wireless body area networks and the implantable wireless body area network.
Conclusion: The use of body sensor networks has a tremendous impact on health and leads to improvements in the life quality and comfort of patients. These technologies are improving, and their development aims to help patients, doctors and the treatment team.

Reza Safdari, Mahboubeh Mirzaee, Mahni Mehdibagli,
Volume 12, Issue 2 (7-2018)
Abstract

Background and Aim: Since safety, performance and outcome indicators can improve the quality of care, patient safety indicators are required to monitor and provide safety in care. The aim of this study was to compile a set of patient safety indicators for monitoring in patient safety dashboard.
Materials and Methods: A set of patient safety indicators was collected by reviewing such indicators presented in Australia, England and OECD, ESQH, and AHRQ organizations. Then, the indicators were validated during Delphi process in two stages by the staff of patient safety and quality improvement unit of governmental hospitals and patient safety experts at Tehran University of Medical Sciences treatment deputy office. Data analysis was performed by SPSS version 13 and descriptive statistics.
Results: The present study was conducted on 62 patient safety indicators and eight main categories were classified as follows: safe hospital indicators, childbirth indicators, surgery-related indicators, mortality indicators, infection-control indicators, drug and prescription error indicators, falling indicator, and other special indicators.
Conclusion: Considering the identification of patient safety indicators in different dimensions, measuring the importance of these indicators and using them in the form of dashboard software in health centers will have a significant role in improving patient safety and the quality of health care.

Reza Safdari, Abdorreza Naser Moghadasi, Sahar Khenarinezhad, Ehsan Ghazanfarisavadkoohi,
Volume 14, Issue 5 (1-2021)
Abstract

Background and Aim: Taking a wide range of medications in Multiple sclerosis (MS) patients can lead to side effects and drug interactions. Therefore, the use of intelligent systems such as drug monitoring systems can help in the effective and timely treatment of MS disease. In this regard, the present study was conducted to design, development, and evaluation of the drug monitoring system for multiple sclerosis patients.
Materials and Methods: The present descriptive-developmental study was performed in four stages. In the first stage, by searching the library resources and valid guidelines, the minimum data set was determined and provided to neurologists and MS fellowships in the form of checklists for validation. Then the software was designed logically and coded based on the opinion of experts. In the last stage, the software was evaluated by end-users.
Results: The information elements in the software design were categorized into patient demographic information, medical history, clinical signs, imaging procedures, laboratory tests for ocrelizumab and fingolimod drugs, counseling, and treatment data. Finally, the performance of the drug monitoring system was evaluated with an average of 7.9 and was approved by users.
Conclusion: The results of software evaluation showed that the drug monitoring system can help general practitioners, neurologists, and MS fellowships in monitoring and follow-up of patients and lead to increased patient safety.


Page 1 from 1     

© 2024 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by: Yektaweb