Haleh Ayatollahi

ORCID: 0000-0003-3974-3648
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About
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Research Areas
  • Mobile Health and mHealth Applications
  • Electronic Health Records Systems
  • Telemedicine and Telehealth Implementation
  • Artificial Intelligence in Healthcare
  • Biomedical Text Mining and Ontologies
  • Data Quality and Management
  • Emergency and Acute Care Studies
  • Healthcare Systems and Technology
  • COVID-19 and healthcare impacts
  • Technology Adoption and User Behaviour
  • Health Literacy and Information Accessibility
  • Retinal Imaging and Analysis
  • COVID-19 and Mental Health
  • Machine Learning in Healthcare
  • Surgical Simulation and Training
  • Stroke Rehabilitation and Recovery
  • Diabetes Management and Research
  • Information and Cyber Security
  • Injury Epidemiology and Prevention
  • Cardiac Health and Mental Health
  • Chronic Disease Management Strategies
  • Traffic and Road Safety
  • Nursing Diagnosis and Documentation
  • Ethics in Clinical Research
  • Health Sciences Research and Education

Iran University of Medical Sciences
2016-2025

University of Washington
2024

Institute for Health Metrics and Evaluation
2024

University of Electronic Science and Technology of China
2023

Institute of Health Economics
2019

Iranshahr University
2018

Zanjan University of Medical Sciences
2018

Medical University of Ilam
2018

Creative Research Enterprises (United States)
2018

Tehran University of Medical Sciences
2012-2013

Dongze Wu Yingzhao Jin Yuhan Xing Melsew Dagne Abate Mohammadreza Abbasian and 95 more Mohsen Abbasi‐Kangevari Zeinab Abbasi-Kangevari Foad Abd-Allah Michael Abdelmasseh Mohammad‐Amin Abdollahifar Deldar Morad Abdulah Aidin Abedi Vida Abedi Hassan Abidi Richard Gyan Aboagye Hassan Abolhassani Katrina Abuabara Morteza Abyadeh Isaac Yeboah Addo Kayode Nelson Adeniji Victor Abiola Adepoju Miracle Ayomikun Adesina Qorinah Estiningtyas Sakilah Adnani Mohsen Afarideh Shahin Aghamiri Antonella Agodi Anurag Agrawal Constanza Elizabeth Aguilera Arriagada Aqeel Ahmad Danish Ahmad Sajjad Ahmad Sohail Ahmad Ali Ahmadi Ali Ahmed Ayman Ahmed Janardhana P Aithala Abdullateef Abiodun Ajadi Marjan Ajami Mostafa Akbarzadeh-Khiavi Fares Alahdab Mohammad T AlBataineh Sharifullah Alemi Adel Al‐Gheethi Liaqat Ali Sheikh Mohammad Alif Joseph Uy Almazan Sami Almustanyir Jaber S. Alqahtani Ibrahim Alqasmi Ihsan Ullah Khan Altaf Nelson Alvis‐Guzmán Nelson J. Alvis-Zakzuk Yaser Mohammed Al‐Worafi Hany Aly Reza Amani Hubert Amu Ganiyu Adeniyi Amusa Cătălina Liliana Andrei Adnan Ansar Hossein Ansariniya Anayochukwu Edward Anyasodor Jalal Arabloo Reza Arefnezhad Judie Arulappan Mohammad Asghari Jafarabadi Tahira Ashraf Jamila Abdulhamid Atata Seyyed Shamsadin Athari Daniel Atlaw Maha Atout Avinash Aujayeb Asma Awan Haleh Ayatollahi Sina Azadnajafabad Ahmed Y. Azzam Alaa Badawi Ashish Badiye Sara Bagherieh Atif Amin Baig Berihun Bantie Martina Barchitta Mainak Bardhan Suzanne Barker‐Collo Francesco Barone‐Adesi Kavita Batra Nebiyou Simegnew Bayileyegn Amir Hossein Behnoush Uzma Belgaumi Maryam Bemanalizadeh Isabela M. Benseñor Kebede Beyene Akshaya Srikanth Bhagavathula Pankaj Bhardwaj Sonu Bhaskar Ajay Nagesh Bhat Saeid Bitaraf Veera Raghavulu Bitra Archith Boloor Kaustubh Bora João Botelho

The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific rarely studied. study aims to investigate pattern trend 1990 2019.We collected detailed information on six major IMIDs, including asthma, bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, atopic dermatitis, between 2019, derived Global Burden Disease in 2019. average annual percent change (AAPC) number incidents age standardized rate (ASR) by sex, age,...

10.1016/j.eclinm.2023.102193 article EN cc-by EClinicalMedicine 2023-09-09

Cardiovascular diseases (CADs) are the first leading cause of death across world. World Health Organization has estimated that morality rate caused by heart will mount to 23 million cases 2030. Hence, use data mining algorithms could be useful in predicting coronary artery diseases. Therefore, present study aimed compare positive predictive value (PPV) CAD using artificial neural network (ANN) and SVM their distinction terms selected hospitals. The was conducted techniques. research sample...

10.1186/s12889-019-6721-5 article EN cc-by BMC Public Health 2019-04-29

Abstract Introduction In the health care environment, a huge volume of data is produced on daily basis. However, processes collecting, storing, sharing, analyzing, and reporting usually face with numerous challenges that lead to producing incomplete, inaccurate, untimely data. As result, quality issues have received more attention than before. Objective The purpose this article provide an insight into definitions, dimensions, assessment methodologies. Methods article, scoping literature...

10.1055/s-0043-1761500 article EN Methods of Information in Medicine 2023-01-30

Background: Self-management skills are essential for patients with diabetes mellitus to minimise the risks of complications from their condition. The aim this research was develop a web-based application self-management type 1 diabetes, suitable use by patients, carers and physicians. Method: study comprised two phases, first being analysis kind information capabilities required potential users system. Based on results derived phase study, system prototype designed then evaluated using...

10.1177/1833358316639456 article EN Health Information Management Journal 2016-04-01

To design a fuzzy expert system to help detect and diagnose the severity of diabetic neuropathy.The research was completed in 2014 consisted two main phases. In first phase, diagnostic parameters were determined based on literature review by investigating specialists' perspectives (n = 8). second 244 medical records related patients who visited an endocrinology metabolism centre during six months primarily diagnosed with neuropathy, used test sensitivity, specificity, accuracy system.The...

10.4239/wjd.v8.i2.80 article EN World Journal of Diabetes 2017-01-01

To date, several models have been developed to evaluate e-health readiness in healthcare organisations; however, no specific tool has designed assess or measure readiness.The aim of this research was design an assessment and apply two Iranian hospitals their for the implementation e-health.The study, which undertaken 2012, consisted three phases: (i) review existing e-health; (ii) tool; (iii) trial hospitals. Phase 1 a literature that informed development tool. In phase 2, we with feedback...

10.1177/1833358316661065 article EN Health Information Management Journal 2016-08-03

Purpose Telemedicine services have been recognized as a safe and affordable method for providing continuous healthcare services, especially to patients with chronic diseases. Despite all advantages, the use of this technology has faced several challenges particularly during COVID-19. The aim study was investigate physicians’ patients’ diabetes perspectives about using telemedicine COVID-19 pandemic. Methods This survey conducted in 2023. participants were endocrinologists, internal medicine...

10.1177/20552076251325969 article EN cc-by-nc-nd Digital Health 2025-01-01

Virtual reality (VR) technology has been useful in enhancing cancer-supportive care by alleviating pain, anxiety and emotional distress. However, its integration into oncology faces multiple barriers, including limited funding, insufficient clinician training, accessibility challenges, absence of standard guidelines reimbursement policies. This policy brief highlighted options needed for VR interventions care. was developed upon a previous systematic review that examined the role To...

10.1186/s12961-025-01332-w article EN cc-by-nc-nd Health Research Policy and Systems 2025-04-29

ABSTRACT Background and Aims Children with congenital heart disease (CHD) often require complex pharmacotherapy for symptom management complication prevention. However, their unique physiological profiles increase vulnerability to drug‐related side effects. This study aimed identify specialists' perspectives on effects associated risk factors in pediatric CHD patients. Methods A cross‐sectional was conducted 2024 involving 20 cardiologists cardiology fellows. Data were collected using two...

10.1002/hsr2.70835 article EN cc-by Health Science Reports 2025-05-01

Although the potential benefits of computer-based records have been identified in different areas healthcare environment, many settings paper-based and are still used parallel. In this article, emergency department (ED) staff perspectives about use paper- or presented. This was a qualitative study which data were collected using in-depth semi-structured interviews with ED staff. The transcribed verbatim analysed framework analysis. total, 34 undertaken. number factors might encourage...

10.1177/1460458209337433 article EN Health Informatics Journal 2009-08-27

A hospital information system has potentials to improve the accessibility of clinical and quality health care. However, use this resulted in new challenges, such as concerns over security. This paper aims assess status security terms administrative, technical physical safeguards university hospitals.This was a survey study which participants were technology (IT) managers (n=36) who worked hospitals affiliated top ranked medical universities (university B). Data collected using questionnaire....

10.5455/aim.2016.24.47-50 article EN Acta Informatica Medica 2016-01-01

Abstract Background In emergency medical services, high quality data are of great importance for patient care. Due to the unique nature this type purpose study was assess in services using an objective approach. Methods This a retrospective quantitative conducted 2019. The research sample included records patients who referred three departments by pre-hospital care ( n = 384). Initially checklist designed based on elements triage form, and records. Then, completeness, accuracy timeliness...

10.1186/s12873-023-00781-2 article EN cc-by BMC Emergency Medicine 2023-01-30
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