Rezvan Rahimi
Assistant Professor
Assistant Professor at the Faculty of Medical Sciences
Department of Medical Informatics
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Ph.D. (2018)
Medical Informatics
The Department of Health Information Technology & Management, hahid Beheshti university of Medical Sciences, Tehran, Iran
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M.Sc. (2011)
Medical Informatics
The Department of Health Information Technology & Management, hahid Beheshti university of Medical Sciences, Tehran, Iran
- Design and evaluation in eHealth
- Telehealth and mHealth
- Strategies to increase the interaction of medical staff with health information systems
- Management and analysis of medical big data
- Artificial intelligence and clinical decision support systems
- Standards and interoperability in healthcare systems
PhD in Shahid Beheshti University, Tehran, 2013-2018 MSc in Shahid Beheshti University, Tehran, 2010-2012 BSc in Shahid Bahonar University, Kerman, 2003-2008
Contact
- r.rahimi@modares.ac.ir
- +98(21)82884532
- +98(21)82884590
- pro.modares.ac.ir/~r.rahimi
- Scholar
- ISID
Curriculum Vitae (CV)
Publications
Investigating the Effective Factors of Using mHealth Apps for Monitoring COVID-19 Symptoms and Contact Tracing: A Survey among Iranian Citizens
Journal Paper , , {Pages }
Abstract
Effects of chemotherapy prescription clinical decision-support systems on the chemotherapy process: A systematic review
Journal Paper , Volume 122 , 2019 February 1, {Pages 20-26 }
Abstract
ObjectiveTo carry out a systematic review of studies assessing the effects of chemotherapy prescription clinical decision-support systems (CDSSs) on the chemotherapy process.MethodsArticles published in English before May 1, 2017 and indexed in the PubMed and Embase databases were reviewed systematically. Studies that focused on the effects of chemotherapy prescription CDSSs on the chemotherapy process were included in this research and reviewed.Results2283 articles were retrieved, of which 37 met the inclusion criteria. Twenty-seven of the included studies reported the effect of chemotherapy prescription CDSSs on medication errors, 18 studies focused on user satisfaction and system acceptance, 10 articles studied the effect of CDSSs on cos
Specifications of computerized provider order entry and clinical decision support systems for cancer patients undergoing chemotherapy: a systematic review
Journal PaperChemotherapy , Volume 63 , 2018 January , {Pages 162-171 }
Abstract
Objective: Chemotherapy medication errors are catastrophic. The prescription phase in the chemotherapy process plays a key role in the creation of medication errors, and therefore the use of computerized physician order entry (CPOE) and clinical decision support system (CDS) systems is recommended to reduce chemotherapy medication errors. The purpose of this study was to carry out a systematic review on the specifications of the CPOE and CDS systems for chemotherapy prescription. Materials and Methods: A systematic review on articles published in English up to September 22, 2017, using the 3 databases PubMed, Embase, and Medline was conducted. Those articles that focused on the specifications of CPOE and CDSS in chemotherapy prescription we
Design and Evaluate a Decision Support System to Reduce Medication Error in the Chemotherapy Prescription of Children with ALL
Journal Paper , 2018 February , {Pages }
Abstract
Maternal voluntary exercise ameliorates learning deficit in rat pups exposed, in utero, to valproic acid; role of BDNF and VEGF and their receptors
Journal PaperNeuropeptides , Volume 71 , 2018 October 1, {Pages 43-53 }
Abstract
In utero exposure to therapeutic doses of valproic acid (VPA) during pregnancy can produce physical malformation and CNS abnormalities in the offspring. There is evidence indicating that even lower doses of VPA during pregnancy could cause cognitive impairment in offspring. It has been demonstrated that maternal exercise has positive effects on offspring's cognitive function. In this study we evaluated the preventive potential of maternal voluntary exercise on cognitive deficits induced by in utero exposure to VPA, in rat pups. Furthermore, the alteration of hippocampal brain-derived neurotrophic factor (BDNF) and vascular endothelial growth factor (VEGF) and their respective receptors were measured. In treatment groups, pregnant rats recei
طراحی و ارزیابی سیستم تصمیم یار کاهش خطاهای تجویز دارو در فرایند شیمی درمانی کودکان مبتلا به ALL
Journal Paper , , {Pages }
Abstract
Teaching
Current Teaching
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MS.c.
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Teaching History
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MS.c.
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MS.c.
Fog data in Healthcare
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MS.c.
Medical Information Systems
People
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2022Ameri salieh, MaryamDetection and classification of urine sediments using convolutional neural networks based on transfer learning and two-stage approaches
List of Graduates
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2024/12/21
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2023/5/22Sabereh, Ahmadi
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2023/8/23Leyla, Majdipoor
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