A5068159748- Electronic Health Records Systems
- Mobile Health and mHealth Applications
- Pharmaceutical Practices and Patient Outcomes
- Healthcare Technology and Patient Monitoring
- Biomedical Text Mining and Ontologies
- Patient Safety and Medication Errors
- Trauma and Emergency Care Studies
- Healthcare Systems and Technology
- Global Cancer Incidence and Screening
- Renal Transplantation Outcomes and Treatments
- Health Literacy and Information Accessibility
- Telemedicine and Telehealth Implementation
- Economic and Financial Impacts of Cancer
- COVID-19 Clinical Research Studies
- Health and Well-being Studies
- Chronic Disease Management Strategies
- Dementia and Cognitive Impairment Research
- Emergency and Acute Care Studies
- Colorectal Cancer Screening and Detection
- Quality and Safety in Healthcare
- AI in cancer detection
- COVID-19 diagnosis using AI
- Injury Epidemiology and Prevention
- Organ Donation and Transplantation
- Artificial Intelligence in Healthcare
Urmia University
2016-2025
Urmia University of Medical Sciences
2016-2025
Amsterdam University Medical Centers
2025
Erasmus University Rotterdam
2010-2024
Kerman University of Medical Sciences
2022
Urmia University of Technology
2020
Western Sydney University
2014
Erasmus MC
2008-2009
Abstract Policymakers require estimates of the future number cancer patients in order to allocate finite resources prevention, treatment and palliative care. We examine recent incidence trends Iran present predicted rates new cases for entire country year 2025. developed a method approximating population‐based from pathology‐based data series available nationally years 2008 2013, augmented this with Iranian National Population‐based Cancer Registry (INPCR) 2014 2016. fitted time‐linear...
Ovarian cancer is the fifth leading cause of mortality among women in United States. also known as forgotten or silent disease. The survival ovarian patients depends on several factors, including treatment process and prognosis.The patients' dataset compiled from Surveillance, Epidemiology, End Results (SEER) database. With help a clinician, curated, most relevant features are selected. Pearson's second coefficient skewness test used to evaluate dataset. Pearson correlation investigate...
Abstract Background In May 2022, the World Health Organization (WHO) European Region announced an atypical Monkeypox epidemic in response to reports of numerous cases some member countries unrelated those where illness is endemic. This issue has raised concerns about widespread nature this disease around world. The experience with Coronavirus Disease 2019 (COVID-19) increased awareness pandemics among researchers and health authorities. Methods Deep Neural Networks (DNNs) have shown...
Abstract In this study, we utilized data from the Surveillance, Epidemiology, and End Results (SEER) database to predict glioblastoma patients’ survival outcomes. To assess dataset skewness detect feature importance, applied Pearson's second coefficient test of Ordinary Least Squares method, respectively. Using two sampling strategies, holdout five-fold cross-validation, developed five machine learning (ML) models alongside a feed-forward deep neural network (DNN) for multiclass...
Objective The aim of the present study was to explore experiences and viewpoints professional family caregivers in management behavioural psychological symptoms dementia (BPSDs) identify ecopsychosocial strategies applied by them. Design Qualitative study. Setting Kerman, Iran. Participants Stories were collected from 40 patients. Measurement guidelines National Consensus Project (NCP) USA served as conceptual framework for deductive thematic analysis our qualitative data. A schematic entire...
This study explores the readiness of Dutch general practitioners (GPs) to adopt artificial intelligence (AI) technologies in primary healthcare (PHC) using an expanded Technology Acceptance Model (TAM). The model assesses perceived usefulness (PU), ease use (PEU), and societal impact (PSI) AI. A self-administered online questionnaire gathered responses from 224 GPs regarding their demographics, AI knowledge, perceptions PHC. Significant relationships were found between PU “intention AI”, as...
Abstract Background To improve the quality of education, many academic medical institutions are investing in application blended education to support new teaching and learning methods . take necessary measures implement smoothly, achieve its goals, we aimed identify strengths, weaknesses, opportunities, threats (SWOT) from key users’ viewpoints. Methods A qualitative study consisting 24 interviews with lecturers students document analysis was conducted at Urmia University Medical Sciences,...
Summary Objectives: To assess the impact of a CPOE system on medication-related communication nurses and physicians. Methods: In six internal medicine wards an academic medical center, two questionnaires were used to evaluate nurses’ attitudes toward paper-based medication then their in medication-related-activities (medication work). The analyzed using t-tests, followed by Bonferroni correction. Nine physicians same interviewed after implementation determine how work have been impacted...
To assess the effects of a CPOE system on inter-professional workflow in medication process.Twenty-three semi-structured interviews with physicians, nurses, and pharmacists were conducted Dutch academic hospital. In addition, handwritten system-generated documents used daily collected for analysis. Data was analyzed basis three conceptual themes workflow: division tasks, flow information, task coordination.The reorganized existing work procedures, affecting among professional groups both...
Summary Objectives: Intra-organizational communication is mostly interpersonal. Synchronous interruptive recognized as aprimary source of inefficiency anderror in healthcare, and there much potential for information technology (ICT) to improve such communication. As recently suggested, however, due failures ICT can also compound medical errors. In this paper we analyze factors that restrict the role improving interpersonal healthcare suggest solutions. Methods: We critically analyzed...
Injuries are one of the leading causes death and lead to a high social financial burden. Injury patterns can vary significantly among different age groups body regions. This study aimed evaluate relationship between mechanism injury, patient comorbidities severity injuries. The included trauma patients from July 2016 June 2018, who were admitted Sina Hospital, Tehran, Iran. inclusion criteria all injured had at least following: hospital length stay more than 24 h, in hospital, transfer...
Background: Gastric cancer (GC), one of the most common worldwide, remains third leading cause cancer-related mortality. The etiology GC may arise from genetic and environmental factors. This study aimed to determine association between incidence socioeconomic status in Iran. Methods: An ecological was designed investigate relationship factors risk incidence. data variables such as income changes, unemployment rate, urbanization ratio, inflation air pollution changes 31 provinces were...
To afford efficient and high quality care, healthcare providers increasingly need to exchange patient data. The existence of a communication network amongst care will help them data more efficiently. Information technology (ICT) has much potential facilitate the development such network. Moreover, in order offer integrated interoperability organizations based upon exchanged is crucial importance. However, complications around are beyond technical impediments.To determine challenges...